<?xml version='1.0'?>
<!DOCTYPE art SYSTEM 'http://www.biomedcentral.com/xml/article.dtd'>
<art>
	<ui>1471-2334-12-283</ui>
	<ji>1471-2334</ji>
	<fm>
		<dochead>Research article</dochead>
		<bibl>
			<title>
				<p>Retrospective epidemiological study for the characterization of community- acquired pneumonia and pneumococcal pneumonia in adults in a well-defined area of Badalona (Barcelona, Spain)</p>
			</title>
			<aug>
				<au id="A1" ca="yes"><snm>Sicras-Mainar</snm><fnm>Antoni</fnm><insr iid="I1"/><email>asicras@bsa.cat</email></au>
				<au id="A2"><snm>Ib&#225;&#241;ez-Nolla</snm><fnm>Jordi</fnm><insr iid="I2"/><email>jibanyez@bsa.cat</email></au>
				<au id="A3"><snm>Cifuentes</snm><fnm>Isabel</fnm><insr iid="I3"/><email>Isabel.CifuentesOtero@pfizer.com</email></au>
				<au id="A4"><snm>Guijarro</snm><fnm>Pablo</fnm><insr iid="I4"/><email>Pablo.GuijarroMasi@pfizer.com</email></au>
				<au id="A5"><snm>Navarro-Artieda</snm><fnm>Ruth</fnm><insr iid="I5"/><email>rnavarro.germanstrias@gencat.cat</email></au>
				<au id="A6"><snm>Aguilar</snm><fnm>Lorenzo</fnm><insr iid="I6"/><email>laguilar@med.ucm.es</email></au>
			</aug>
			<insg>
				<ins id="I1"><p>Planning Management Department, Direcci&#243;n de Planificaci&#243;n y Desarrollo Organizativo, Badalona Serveis Assistencials SA, Gaiet&#224; Soler, 6-8 entlo, 08911, Badalona, Barcelona, Spain</p></ins>
				<ins id="I2"><p>Hospital Municipal de Badalona, Badalona, Barcelona, Spain</p></ins>
				<ins id="I3"><p>Medical Department, Pfizer S.L.U., Alcobendas, Madrid, Spain</p></ins>
				<ins id="I4"><p>Pharmacoeconomics Department, Pfizer S.L.U., Alcobendas, Madrid, Spain</p></ins>
				<ins id="I5"><p>Medical Documentation Department, Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain</p></ins>
				<ins id="I6"><p>Microbiology Department, School of Medicine, Universidad Complutense, Madrid, Spain</p></ins>
			</insg>
			<source>BMC Infectious Diseases</source>
			<section><title><p>Bacterial and fungal diseases</p></title></section><issn>1471-2334</issn>
			<pubdate>2012</pubdate>
			<volume>12</volume>
			<issue>1</issue>
			<fpage>283</fpage>
			<url>http://www.biomedcentral.com/1471-2334/12/283</url>
			<xrefbib><pubidlist><pubid idtype="doi">10.1186/1471-2334-12-283</pubid><pubid idtype="pmpid">23114195</pubid></pubidlist></xrefbib>
		</bibl>
		<history><rec><date><day>8</day><month>3</month><year>2012</year></date></rec><acc><date><day>25</day><month>10</month><year>2012</year></date></acc><pub><date><day>1</day><month>11</month><year>2012</year></date></pub></history>
		<cpyrt><year>2012</year><collab>Sicras-Mainar et al.; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
		<kwdg>
			<kwd>Community-acquired pneumonia</kwd>
			<kwd>
				<it>Streptococcus pneumoniae</it>
			</kwd>
			<kwd>Primary care setting</kwd>
			<kwd>Hospital setting</kwd>
			<kwd>Resource utilization</kwd>
			<kwd>Health costs</kwd>
		</kwdg>
		<abs>
			<sec>
				<st>
					<p>Abstract</p>
				</st>
				<sec>
					<st>
						<p>Background</p>
					</st><p>Community-acquired pneumonia (CAP) has large impact on direct healthcare costs, especially those derived from hospitalization. This study determines impact, clinical characteristics, outcome and economic consequences of CAP in the adult (&#8805;18 years) population attended in 6 primary-care centers and 2 hospitals in Badalona (Spain) over a two-year period.</p>
				</sec>
				<sec>
					<st>
						<p>Methods</p>
					</st><p>Medical records were identified by codes from the International Classification of Diseases in databases (January 1<sup>st</sup> 2008-December 31<sup>st</sup> 2009).</p>
				</sec>
				<sec>
					<st>
						<p>Results</p>
					</st><p>A total of 581 patients with CAP (55.6% males, mean age 57.5 years) were identified. Prevalence: 0.64% (95% CI: 0.5%-0.7%); annual incidence: 3.0 cases/1,000 inhabitants (95% CI: 0.2-0.5). Up to 241 (41.5%) required hospitalization. Hospital admission was associated (p&lt;0.002) with liver disease (OR=5.9), stroke (OR=3.6), dementia (OR=3.5), COPD (OR=2.9), diabetes mellitus (OR=1.9) and age (OR=1.1 per year). Length of stay (4.4&#177;0.3 days) was associated with PSI score (&#946;=0.195), in turn associated with age (r=0.827) and Charlson index (r=0.497). Microbiological tests were performed in all inpatients but only in 35% outpatients. Among patients with microbiological tests, results were positive in 51.7%, and among them, <it>S pneumoniae</it> was identified in 57.5% cases. Time to recovery was 29.9&#177;17.2 days. Up to 7.5% inpatients presented complications, 0.8% required ICU admission and 19.1% readmission. Inhospital mortality rate was 2.5%. Adjusted mean total cost was &#8364;2,332.4/inpatient and &#8364;698.6/outpatient (p&lt;0.001). Patients with pneumococcal CAP (n=107) showed higher comorbidity and hospitalization (76.6%), higher PSI score, larger time to recovery and higher overall costs among inpatients.</p>
				</sec>
				<sec>
					<st>
						<p>Conclusions</p>
					</st><p>Strategies preventing CAP, thus reducing hospital admissions could likely produce substantial costs savings in addition to the reduction of CAP burden.</p>
				</sec>
			</sec>
		</abs>
	</fm>
	<bdy>
		<sec>
			<st>
				<p>Background</p>
			</st><p>Community-acquired pneumonia (CAP) accounts for 5% to 12% of all cases of adult lower respiratory tract infections managed by general practitioners in the community <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. In Spain the annual incidence of CAP in adults varies between 1.6 and 1.8 per 1,000 inhabitants <abbrgrp>
					<abbr bid="B2">2</abbr>
				</abbrgrp>. The incidence of CAP is higher in winter, in older males and in patients with risk factors <abbrgrp>
					<abbr bid="B3">3</abbr>
					<abbr bid="B4">4</abbr>
					<abbr bid="B5">5</abbr>
					<abbr bid="B6">6</abbr>
					<abbr bid="B7">7</abbr>
					<abbr bid="B8">8</abbr>
				</abbrgrp>. The percentage of adult patients requiring hospitalization is 22-42%, with between 1.2% and 10% of those admitted to hospital managed on an intensive care unit (ICU) <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>.</p><p>Despite different available diagnostic tests for CAP, only in nearly 50% of CAP patients the etiological agent is identified <abbrgrp>
					<abbr bid="B7">7</abbr>
					<abbr bid="B9">9</abbr>
					<abbr bid="B10">10</abbr>
					<abbr bid="B11">11</abbr>
					<abbr bid="B12">12</abbr>
					<abbr bid="B13">13</abbr>
					<abbr bid="B14">14</abbr>
					<abbr bid="B15">15</abbr>
				</abbrgrp>, <it>Streptococcus pneumoniae</it> being the most frequently identified pathogen <abbrgrp>
					<abbr bid="B2">2</abbr>
					<abbr bid="B16">16</abbr>
					<abbr bid="B17">17</abbr>
				</abbrgrp>. An adequate clinical assessment for patient classification according to severity prediction factors is essential in CAP management in order to determine the most adequate setting for treatment <abbrgrp>
					<abbr bid="B13">13</abbr>
					<abbr bid="B18">18</abbr>
					<abbr bid="B19">19</abbr>
					<abbr bid="B20">20</abbr>
				</abbrgrp>. Antimicrobial treatment is empirically initiated after assessing severity, etiology and resistance prevalence in the setting <abbrgrp>
					<abbr bid="B21">21</abbr>
					<abbr bid="B22">22</abbr>
					<abbr bid="B23">23</abbr>
					<abbr bid="B24">24</abbr>
					<abbr bid="B25">25</abbr>
				</abbrgrp>. The reported mortality varies widely, from less than 1% in the community to over 30% among patients admitted to ICUs <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. <it>S. pneumoniae</it> is responsible for two-thirds of CAP-related deaths <abbrgrp>
					<abbr bid="B22">22</abbr>
				</abbrgrp>.</p><p>CAP has a large impact on direct healthcare costs, especially those derived from hospitalization <abbrgrp>
					<abbr bid="B26">26</abbr>
					<abbr bid="B27">27</abbr>
					<abbr bid="B28">28</abbr>
				</abbrgrp> that can represent up to 90% of the global cost associated with CAP <abbrgrp>
					<abbr bid="B19">19</abbr>
				</abbrgrp>. Nowadays its prevention relies on quitting smoking habits and vaccination against influenza and <it>S. pneumoniae </it>
				<abbrgrp>
					<abbr bid="B21">21</abbr>
					<abbr bid="B29">29</abbr>
					<abbr bid="B30">30</abbr>
				</abbrgrp>.</p><p>Few studies in Spain <abbrgrp>
					<abbr bid="B5">5</abbr>
					<abbr bid="B31">31</abbr>
				</abbrgrp> have addressed the epidemiology, impact, evolution and costs of CAP patients in daily practice, both at primary care and hospital settings. The aim of this epidemiological study was to determine the impact, clinical characteristics, outcome and economic consequences of CAP in the adult population attended in primary care centers and hospitals in Badalona (Barcelona, Spain) over a period of two years.</p>
		</sec>
		<sec>
			<st>
				<p>Material and methods</p>
			</st><p>An observational, retrospective and multicenter study using electronic medical records of both outpatients and inpatients was performed in six primary care centers (Badalona Serveis Assistencials S.A.) and two hospitals (H. Germans Tr&#237;as i Pujol and H. Municipal) in Badalona (Barcelona, Spain). Clinical data, use of resources and associated costs were recorded over a 6-month period from the date of diagnosis. The study was approved by the Clinical Research Ethics Committee of Hospital Germans Tr&#237;as i Pujol, Badalona.</p><p>Codes R81, 480&#8211;487 from the International Primary Care Classification (ICPC-2) <abbrgrp>
					<abbr bid="B32">32</abbr>
				</abbrgrp> and code 481 from the International Classification of Diseases (ninth revision, clinical modification; ICD-9-CM) <abbrgrp>
					<abbr bid="B33">33</abbr>
				</abbrgrp> were used for CAP patients identification in the center&#8217;s database. Adult patients (&#8805;18 years) with CAP diagnosis confirmed by radiological findings attended from January 1<sup>st</sup> 2008 to December 31<sup>st</sup> 2009 at study centers that complied with follow-up visits were included. Patients were excluded if they were suffering from tuberculosis, lung cancer or were from other sanitary areas.</p><p>Data recorded included demographic characteristics, diagnosing setting, clinical data, radiological findings, etiological filiations, antimicrobial treatment according to the ATC classification <abbrgrp>
					<abbr bid="B34">34</abbr>
				</abbrgrp>, number of days to clinical cure (from onset of symptoms to recovery) and mortality. Previous antimicrobial treatments (previous week), hospital admissions (previous 12 months) and vaccines administered (<it>S. pneumoniae</it> and influenza [last year]) were also recorded. In addition, length of hospital stay, admission to intensive care unit (ICU), readmissions (up to 30 days after discharge), in-hospital complications (organ failure, mechanical ventilation), reasons for discharge and mortality (up to 30 days after discharge) were recorded for hospitalized patients.</p><p>Severity was assessed using the <it>Pneumonia Severity Index (PSI)</it>
				<abbrgrp>
					<abbr bid="B18">18</abbr>
				</abbrgrp>. Morbidity was assessed by the <it>Charlson Comorbidity Index</it>
				<abbrgrp>
					<abbr bid="B35">35</abbr>
				</abbrgrp> and <it>the individual casuistics index</it> obtained from the <it>Adjusted Clinical Groups (ACGs) system</it>
				<abbrgrp>
					<abbr bid="B36">36</abbr>
				</abbrgrp> estimating individual health status and risk for health service use. ACGs with similar mean cost were grouped in resource utilization bands (RUBs) distributing patients according to morbidity in 5 groups: 1: Healthy-users, 2: mild morbidity 3: moderate morbidity, 4: high morbidity and 5: very high morbidity.</p><p>Total costs including direct healthcare costs and indirect costs were calculated. Direct healthcare costs included medical visits (primary care, emergency room, specialists), hospital admissions and readmissions, ICU admissions, complementary tests (laboratory, conventional and complementary radiology) and treatments. Indirect costs were those relative to the number of lost working days and were calculated considering the Spanish minimum interprofessional salary. CAP costs for a 6-month period following CAP diagnosis were per-patient identified, calculated and expressed as mean cost per-patient. Table <tblr tid="T1">1</tblr> shows direct and indirect unit costs except those corresponding to treatments. Costs of pharmacological treatments were calculated considering retail price of medicines at the time of prescription.</p>
			<table id="T1">
				<title>
					<p>Table 1</p>
				</title>
				<caption>
					<p>
						<b>Unit health resource costs and lost productivity</b>
					</p>
				</caption>
				<tgroup align="left" cols="2">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<thead valign="top">
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Resource</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>
									<b>Unit cost (&#8364;)</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>Source of health resources: analytical accounting. Values expressed as means in euros.</p><p>RPM: Retail Price of Medicines at the time of prescription.</p>
					</tfoot>
					<tbody valign="top">
						<row rowsep="1">
							<entry colname="c1" nameend="c2" namest="c1">
								<p>
									<b>Health resources</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Medical visits</p>
							</entry>
							<entry colname="c2"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Primary care</p>
							</entry>
							<entry colname="c2">
								<p>22.74</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Emergency room</p>
							</entry>
							<entry colname="c2">
								<p>115.23</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Specialist</p>
							</entry>
							<entry colname="c2">
								<p>102.36</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Hospitalization (one day)</p>
							</entry>
							<entry colname="c2">
								<p>314.61</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>ICU (one day)</p>
							</entry>
							<entry colname="c2">
								<p>532.92</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1" nameend="c2" namest="c1">
								<p>
									<b>Complementary tests</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Laboratory tests</p>
							</entry>
							<entry colname="c2">
								<p>21.86</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Conventional radiology</p>
							</entry>
							<entry colname="c2">
								<p>18.14</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Diagnostic/therapeutic tests</p>
							</entry>
							<entry colname="c2">
								<p>36.45</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Pharmacological treatments</p>
							</entry>
							<entry colname="c2">
								<p>RPM</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1" nameend="c2" namest="c1">
								<p>
									<b>Productivity</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Cost per lost workday</p>
							</entry>
							<entry colname="c2">
								<p>54.65</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table>
			<sec>
				<st>
					<p>Statistical analysis</p>
				</st><p>Patients were distributed into two groups according to the treatment setting: outpatients or inpatients. A descriptive univariate analysis was performed. The Kolmogorov-Smirnov test was used to verify the normal distribution. Median times for clinical cure were determined using the Kaplan-Meier survival curve. Bivariate analyses were carried out by Student&#8217;s <it>t</it>-test, analysis of variance (ANOVA), Chi-square test and Pearson&#8217;s correlation coefficient. Two logistic regression analyses were performed, one using as dependent variable &#8220;diagnosis/treatment setting&#8221; and the other using &#8220;readmission&#8221;. In addition, a linear regression analysis was performed using &#8220;days of hospitalization&#8221; as dependent variable. Ambulatory and hospital costs were compared by analysis of covariance (ANCOVA) following Thomson and Barber recommendations <abbrgrp>
						<abbr bid="B37">37</abbr>
					</abbrgrp>, with gender, age, RUBs, Charlson index and PSI score as covariates (Bonferroni-adjusted). The statistical significance was set at p&lt;0.05. The SPSSWIN statistical package, version 18, was used for all statistical analyses.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Results</p>
			</st><p>Among 90,315 subjects &#8805;18 years belonging to the study centers area, 581 were diagnosed with CAP, 414 (71.3%) of them in the hospital setting (Figure <figr fid="F1">1</figr>). Of the 581 patients identified, 241 (41.5%) required hospitalization and the remaining (340 patients, 58.5%) were followed at their respective primary care center. Prevalence of CAP was 0.64% (95% CI 0.5%-0.7%), annual incidence was 3.0 cases per 1,000 adult inhabitants (95% CI 0.2-0.5) and increased with age: 1.8 for 18&#8211;49 years, 3.2 for 50&#8211;64 years, 5.1 for 65&#8211;74 years and 8.1 for &#8805;75 years.</p>
			<fig id="F1"><title><p>Figure 1</p></title><caption><p>Diagram of patient population</p></caption><text>
   <p>
      <b>Diagram of patient population.</b>
   </p>
</text><graphic file="1471-2334-12-283-1"/></fig><p>A total of 17.4% patients (10.3% for outpatients vs. 27.4% for inpatients, p&lt;0.001) had been hospitalized in the previous 12 months, and 14.5% patients had received an antibiotic course in the previous week (8.8% outpatients vs. 22.4% inpatients, p&lt;0.001). The 23-valent polysaccharide <it>S. pneumoniae</it> vaccine had been administered to 23.1% of the overall study population (17.6% outpatients vs. 30.7% inpatients, p&lt;0.001), while the influenza vaccine had been administered to 40.8% patients (30.0% outpatients vs. 56.0% inpatients, p&lt;0.001).</p><p>Table <tblr tid="T2">2</tblr> shows demographic and clinical data of patients at time of diagnosis. Most participants were males (55.6%), with an overall mean age of 57.5 &#177; 19.1 years and were not institutionalized (88.3%). Patients that required hospitalization were older (66.6 &#177; 16.4 years vs. 51.0 &#177; 18.2 years for outpatients; p&lt;0.001), presented more frequently PSI IV-V (44.4% vs. 7.4% for outpatients; p&lt;0.001) and showed higher morbidity burden (RUB score 3.0 &#177; 0.7 vs. 2.5 &#177; 0.9 for outpatients; p&lt;0.001) and Charlson comorbidity index (1.1 &#177; 0.9 vs. 0.5 &#177; 1.0 for outpatients; p&lt;0.001). Radiographic evidence of multilobar pneumonia infiltrates was only observed in hospitalized patients (4.1%). In the logistic regression analysis, variables significantly (p&lt;0.002) associated with hospitalization were liver disease (OR=5.9), stroke (OR=3.6), dementia (OR=3.5), COPD (OR=2.9), diabetes mellitus (OR=1.9) and age (OR=1.1 per year of increase).</p>
			<table id="T2">
				<title>
					<p>Table 2</p>
				</title>
				<caption>
					<p>
						<b>Patient characteristics at time of diagnosis</b>
					</p>
				</caption>
				<tgroup align="left" cols="5">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
					<thead valign="top">
						<row rowsep="1">
							<entry colname="c1"/>
							<entry colname="c2">
								<p>
									<b>Outpatients</b>
									<sup>
										<b>a</b>
									</sup> <b>N=340</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Inpatients N=241</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Total N=581</b>
								</p>
							</entry>
							<entry colname="c5">
								<p>
									<b>p</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>SD: standard deviation; NS: non significant;</p><p>
							<sup>a</sup>Outpatient: includes patients diagnosed in primary care centres and emergency rooms at hospitals; <sup>b</sup>COPD: chronic obstructive pulmonary disease; <sup>c</sup>RUB: Resources utilization bands.</p>
					</tfoot>
					<tbody valign="top">
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Age, mean (SD)</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>51.0 (18.2)</p>
							</entry>
							<entry colname="c3">
								<p>66.6 (16.4)</p>
							</entry>
							<entry colname="c4">
								<p>57.5 (19.1)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>18 &#8211; 49, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>49.4</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>15.8</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>35.5</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>50 &#8211; 64,%</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>25.0</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>25.3</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>25.1</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>65 &#8211; 74, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>12.1</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>21.2</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>15.8</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>&gt;74, %</p>
							</entry>
							<entry colname="c2">
								<p>13.5</p>
							</entry>
							<entry colname="c3">
								<p>37.8</p>
							</entry>
							<entry colname="c4">
								<p>23.6</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Gender (male), %</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>55.6</p>
							</entry>
							<entry colname="c3">
								<p>55.6</p>
							</entry>
							<entry colname="c4">
								<p>55.6</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Residence, %</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>Private home</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>87.1</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>90.0</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>88.3</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Health/geriatric institution</p>
							</entry>
							<entry colname="c2">
								<p>12.9</p>
							</entry>
							<entry colname="c3">
								<p>10.0</p>
							</entry>
							<entry colname="c4">
								<p>11.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Pneumonia Severity Index</b>, mean score</p>
							</entry>
							<entry colname="c2">
								<p>51.4</p>
							</entry>
							<entry colname="c3">
								<p>86.7</p>
							</entry>
							<entry colname="c4">
								<p>66.0</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>I-II, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>79.4</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>29.9</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>58.9</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>III, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>13.2</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>25.7</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>18.4</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>IV-V, %</p>
							</entry>
							<entry colname="c2">
								<p>7.4</p>
							</entry>
							<entry colname="c3">
								<p>44.4</p>
							</entry>
							<entry colname="c4">
								<p>22.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Radiological findings:</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>Unilobar, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>99.4</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>87.1</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>94.3</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0,001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>Multilobar, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>0.0</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>4.1</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>1.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Bilateral, %</p>
							</entry>
							<entry colname="c2">
								<p>0.6</p>
							</entry>
							<entry colname="c3">
								<p>8.7</p>
							</entry>
							<entry colname="c4">
								<p>4.0</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Glycemia</b>, mg/dL, mean (SD)</p>
							</entry>
							<entry colname="c2">
								<p>109.8 (25.1)</p>
							</entry>
							<entry colname="c3">
								<p>142.0 (53.4)</p>
							</entry>
							<entry colname="c4">
								<p>130.2 (47.7)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Comorbidity, %</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>No. of conditions, mean (SD)</p>
							</entry>
							<entry colname="c2">
								<p>6.0 (3.9)</p>
							</entry>
							<entry colname="c3">
								<p>7.8 (4.2)</p>
							</entry>
							<entry colname="c4">
								<p>6.8 (4.8)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Hypertension</p>
							</entry>
							<entry colname="c2">
								<p>29.7</p>
							</entry>
							<entry colname="c3">
								<p>57.7</p>
							</entry>
							<entry colname="c4">
								<p>41.3</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Diabetes mellitus</p>
							</entry>
							<entry colname="c2">
								<p>9.7</p>
							</entry>
							<entry colname="c3">
								<p>29.9</p>
							</entry>
							<entry colname="c4">
								<p>18.1</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Dyslipemia</p>
							</entry>
							<entry colname="c2">
								<p>32.6</p>
							</entry>
							<entry colname="c3">
								<p>37.3</p>
							</entry>
							<entry colname="c4">
								<p>34.6</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Obesity</p>
							</entry>
							<entry colname="c2">
								<p>25.6</p>
							</entry>
							<entry colname="c3">
								<p>25.3</p>
							</entry>
							<entry colname="c4">
								<p>25.5</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Current smoker</p>
							</entry>
							<entry colname="c2">
								<p>25.6</p>
							</entry>
							<entry colname="c3">
								<p>25.3</p>
							</entry>
							<entry colname="c4">
								<p>25.5</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>History of alcoholism</p>
							</entry>
							<entry colname="c2">
								<p>3.8</p>
							</entry>
							<entry colname="c3">
								<p>5.4</p>
							</entry>
							<entry colname="c4">
								<p>4.5</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Ischemic heart disease</p>
							</entry>
							<entry colname="c2">
								<p>7.6</p>
							</entry>
							<entry colname="c3">
								<p>11.2</p>
							</entry>
							<entry colname="c4">
								<p>9.1</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Stroke</p>
							</entry>
							<entry colname="c2">
								<p>1.8</p>
							</entry>
							<entry colname="c3">
								<p>13.7</p>
							</entry>
							<entry colname="c4">
								<p>6.7</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Liver disease</p>
							</entry>
							<entry colname="c2">
								<p>1.2</p>
							</entry>
							<entry colname="c3">
								<p>8.3</p>
							</entry>
							<entry colname="c4">
								<p>4.1</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Heart failure</p>
							</entry>
							<entry colname="c2">
								<p>3.8</p>
							</entry>
							<entry colname="c3">
								<p>16.2</p>
							</entry>
							<entry colname="c4">
								<p>9.0</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Renal insufficiency</p>
							</entry>
							<entry colname="c2">
								<p>4.1</p>
							</entry>
							<entry colname="c3">
								<p>14.1</p>
							</entry>
							<entry colname="c4">
								<p>8.3</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Asthma</p>
							</entry>
							<entry colname="c2">
								<p>9.7</p>
							</entry>
							<entry colname="c3">
								<p>12.4</p>
							</entry>
							<entry colname="c4">
								<p>10.8</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>COPD<sup>b</sup>
								</p>
							</entry>
							<entry colname="c2">
								<p>11.8</p>
							</entry>
							<entry colname="c3">
								<p>36.5</p>
							</entry>
							<entry colname="c4">
								<p>22.0</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Neuropathies</p>
							</entry>
							<entry colname="c2">
								<p>2.6</p>
							</entry>
							<entry colname="c3">
								<p>3.7</p>
							</entry>
							<entry colname="c4">
								<p>3.1</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Dementia</p>
							</entry>
							<entry colname="c2">
								<p>1.8</p>
							</entry>
							<entry colname="c3">
								<p>13.3</p>
							</entry>
							<entry colname="c4">
								<p>6.5</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Depression</p>
							</entry>
							<entry colname="c2">
								<p>14.7</p>
							</entry>
							<entry colname="c3">
								<p>22.4</p>
							</entry>
							<entry colname="c4">
								<p>17.9</p>
							</entry>
							<entry colname="c5">
								<p>0.017</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Malignancies</p>
							</entry>
							<entry colname="c2">
								<p>9.4</p>
							</entry>
							<entry colname="c3">
								<p>14.9</p>
							</entry>
							<entry colname="c4">
								<p>11.7</p>
							</entry>
							<entry colname="c5">
								<p>0.041</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>AIDS</p>
							</entry>
							<entry colname="c2">
								<p>2.1</p>
							</entry>
							<entry colname="c3">
								<p>2.8</p>
							</entry>
							<entry colname="c4">
								<p>2.5</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Charlson comorbid index</b>, mean (SD)</p>
							</entry>
							<entry colname="c2">
								<p>0.5 (1.0)</p>
							</entry>
							<entry colname="c3">
								<p>1.1 (0.9)</p>
							</entry>
							<entry colname="c4">
								<p>0.8 (0.8)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>0, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>63.5</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>42.8</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>48.7</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>1, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>28.1</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>37.7</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>34.9</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>2, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>6.6</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>15.2</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>12.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>3, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>0.0</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>2.4</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>2.1</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>6, %</p>
							</entry>
							<entry colname="c2">
								<p>1.8</p>
							</entry>
							<entry colname="c3">
								<p>1.9</p>
							</entry>
							<entry colname="c4">
								<p>1.5</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>RUB</b>
									<sup>
										<b>c</b>
									</sup>, Mean score (SD)</p>
							</entry>
							<entry colname="c2">
								<p>2.5 (0.9)</p>
							</entry>
							<entry colname="c3">
								<p>3.0 (0.7)</p>
							</entry>
							<entry colname="c4">
								<p>2.7 (0.8)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>RUB-1, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>13.5</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>4.6</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>9.8</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>RUB-2, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>26.5</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>11.2</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>20.1</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>RUB-3, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>51.2</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>68.0</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>58.2</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>RUB-4, %</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>7.6</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>14.9</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>10.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>RUB-5, %</p>
							</entry>
							<entry colname="c2">
								<p>1.2</p>
							</entry>
							<entry colname="c3">
								<p>1.2</p>
							</entry>
							<entry colname="c4">
								<p>1.2</p>
							</entry>
							<entry colname="c5"/>
						</row>
					</tbody>
				</tgroup>
			</table><p>Microbiological tests were performed in all hospitalized patients but only in 119 out of 340 (35.0%) outpatients. Table <tblr tid="T3">3</tblr> shows CAP pathogens identified and antimicrobial treatments administered. Among patients with microbiological tests (360/581; 62.0%), results were positive in 51.7% (186/360; 60.5% outpatients vs. 47.3% inpatients, p&lt;0.001). <it>S pneumoniae</it> was the most prevalent pathogen identified (57.5%, 107/186): 34.7% outpatients vs. 71.9% inpatients; p&lt;0.001. Fluoroquinolones (prescribed in 52.7% patients) was the most frequent antimicrobial class followed by &#946;-lactams (35.6%), with levofloxacin and amoxicillin/clavulanic acid as the most prescribed compounds. Initial treatment was changed in 7.1% of the patients, mainly due to lack of response.</p>
			<table id="T3">
				<title>
					<p>Table 3</p>
				</title>
				<caption>
					<p>
						<b>CAP pathogens and treatments administered</b>
					</p>
				</caption>
				<tgroup align="left" cols="5">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
					<thead valign="top">
						<row rowsep="1">
							<entry colname="c1"/>
							<entry colname="c2">
								<p>
									<b>Outpatients</b>
									<sup>
										<b>a</b>
									</sup> <b>N=340</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Inpatients N=241</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Total N=581</b>
								</p>
							</entry>
							<entry colname="c5">
								<p>
									<b>p</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>
							<sup>a</sup>Outpatient: includes patients diagnosed in primary care centres and emergency rooms at hospitals.</p>
					</tfoot>
					<tbody valign="top">
						<row rowsep="1">
							<entry colname="c1" nameend="c5" namest="c1">
								<p>
									<b>Microbiological study</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Non-studied, n</p>
							</entry>
							<entry colname="c2">
								<p>221</p>
							</entry>
							<entry colname="c3">
								<p>0</p>
							</entry>
							<entry colname="c4">
								<p>221</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Studied, n</p>
							</entry>
							<entry colname="c2">
								<p>119</p>
							</entry>
							<entry colname="c3">
								<p>241</p>
							</entry>
							<entry colname="c4">
								<p>360</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Negative, n</p>
							</entry>
							<entry colname="c2">
								<p>47</p>
							</entry>
							<entry colname="c3">
								<p>127</p>
							</entry>
							<entry colname="c4">
								<p>174</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Pathogen identified, n</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>72</p>
							</entry>
							<entry colname="c3">
								<p>114</p>
							</entry>
							<entry colname="c4">
								<p>186</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>
									<it>Streptococcus pneumoniae</it>
								</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>25</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>82</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>107</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>Influenza virus type A</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>41</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>9</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>50</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>
									<it>Legionella pneumophila</it>
								</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>5</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>8</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>13</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>
									<it>Haemophilus influenzae</it>
								</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>1</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>3</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>4</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>
									<it>Staphylococcus aureus</it>
								</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>0</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>3</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>3</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>
									<it>Pseudomonas aeruginosa</it>
								</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>0</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>3</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>3</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Other pathogens</p>
							</entry>
							<entry colname="c2">
								<p>0</p>
							</entry>
							<entry colname="c3">
								<p>6</p>
							</entry>
							<entry colname="c4">
								<p>6</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1" nameend="c5" namest="c1">
								<p>
									<b>Treatments, %</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Quinolones</p>
							</entry>
							<entry colname="c2">
								<p>52.9</p>
							</entry>
							<entry colname="c3">
								<p>51.8</p>
							</entry>
							<entry colname="c4">
								<p>52.7</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Penicillins</p>
							</entry>
							<entry colname="c2">
								<p>34.4</p>
							</entry>
							<entry colname="c3">
								<p>37.3</p>
							</entry>
							<entry colname="c4">
								<p>35.6</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Macrolides</p>
							</entry>
							<entry colname="c2">
								<p>5.9</p>
							</entry>
							<entry colname="c3">
								<p>1.7</p>
							</entry>
							<entry colname="c4">
								<p>4.1</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Cephalosporins</p>
							</entry>
							<entry colname="c2">
								<p>1.5</p>
							</entry>
							<entry colname="c3">
								<p>2.5</p>
							</entry>
							<entry colname="c4">
								<p>1.9</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Sulfonamide</p>
							</entry>
							<entry colname="c2">
								<p>0.3</p>
							</entry>
							<entry colname="c3">
								<p>0.8</p>
							</entry>
							<entry colname="c4">
								<p>0.5</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Combined therapy,</b> %</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1" rowsep="1">
								<p>Amoxicillin/Azithromycin</p>
							</entry>
							<entry colname="c2" rowsep="1">
								<p>4.1</p>
							</entry>
							<entry colname="c3" rowsep="1">
								<p>0.0</p>
							</entry>
							<entry colname="c4" rowsep="1">
								<p>2.4</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Cephalosporin/Azithromycin</p>
							</entry>
							<entry colname="c2">
								<p>0.9</p>
							</entry>
							<entry colname="c3">
								<p>5.8</p>
							</entry>
							<entry colname="c4">
								<p>2.8</p>
							</entry>
							<entry colname="c5"/>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>
									<b>Change of treatment, %</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>5.9</p>
							</entry>
							<entry colname="c3">
								<p>8.7</p>
							</entry>
							<entry colname="c4">
								<p>7.1</p>
							</entry>
							<entry colname="c5">
								<p>NS</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table>
			<sec>
				<st>
					<p>Patients&#8217; evolution</p>
				</st><p>Time to recovery was 29.9 &#177; 17.2 days (27.3 &#177; 14.5 days for outpatients vs. 33.8 &#177; 15.7 days for inpatients; p&lt;0.001). Regarding hospitalized patients, 7.5% patients presented some in-hospital complications (4.6% organ failure and 2.9% mechanical ventilation), 0.8% required admission to ICU and 19.1% hospital readmission. In the logistic regression analysis, variables significantly (p&lt;0.05) associated with readmission were diabetes (OR=2.1), number of previous hospitalizations (OR=1.6), Charlson index (OR=1.3), age (OR=1.2 per year of increase) and time to recovery (OR=1.2 per day). Mean length of stay was 4.4 &#177; 0.3 days. The linear-regression model showed that length of stay was associated with low haematocrit (&#946;= &#8722;0.188) and arterial pH (&#946;= &#8722;0.161) values and with high PSI score (&#946;= 0.195). A significant (p&lt;0.001) linear correlation was found between the PSI score and age (r= 0.827) and Charlson index (r= 0.497). The reason for discharge was improvement or cure in 90.5% cases, and transfer to other centre in 7.1% patients. The in-hospital mortality rate was 2.5% (95% CI 0.5%-4.5%). None of the ambulatory patients died.</p>
			</sec>
			<sec>
				<st>
					<p>Resources utilization and associated costs</p>
				</st><p>Use of health resources and lost productivity are given in Table <tblr tid="T4">4</tblr>. Up to 73.3% of total patients seek medical assistance at the primary care general practitioner&#8217;s office and 58.3% at the specialist&#8217;s office. Mean number of lost working days was 3.7 &#177; 11.7 (4.7 &#177; 12.4 for outpatients vs. 2.1 &#177; 10.6 for inpatients, p= 0.009), with 14.2% of total patients having some sick leave.</p>
				<table id="T4">
					<title>
						<p>Table 4</p>
					</title>
					<caption>
						<p>
							<b>Use of health resources and lost productivity</b>
						</p>
					</caption>
					<tgroup align="left" cols="8">
						<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
						<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
						<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
						<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
						<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
						<colspec align="left" colname="c6" colnum="6" colwidth="1*"/>
						<colspec align="left" colname="c7" colnum="7" colwidth="1*"/>
						<colspec align="left" colname="c8" colnum="8" colwidth="1*"/>
						<thead valign="top">
							<row>
								<entry colname="c1"/>
								<entry colname="c2" nameend="c3" namest="c2" rowsep="1">
									<p>
										<b>Outpatients</b>
										<sup>
											<b>a</b>
										</sup> <b>N=340</b>
									</p>
								</entry>
								<entry colname="c4" nameend="c5" namest="c4" rowsep="1">
									<p>
										<b>Inpatients N=241</b>
									</p>
								</entry>
								<entry colname="c6" nameend="c7" namest="c6" rowsep="1">
									<p>
										<b>Total N=581</b>
									</p>
								</entry>
								<entry colname="c8">
									<p>
										<b>p</b>
									</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1"/>
								<entry colname="c2">
									<p>
										<b>(%)</b>
									</p>
								</entry>
								<entry colname="c3">
									<p>
										<b>Mean (SD)</b>
									</p>
								</entry>
								<entry colname="c4">
									<p>
										<b>(%)</b>
									</p>
								</entry>
								<entry colname="c5">
									<p>
										<b>Mean (SD)</b>
									</p>
								</entry>
								<entry colname="c6">
									<p>
										<b>(%)</b>
									</p>
								</entry>
								<entry colname="c7">
									<p>
										<b>Mean (SD)</b>
									</p>
								</entry>
								<entry colname="c8"/>
							</row>
						</thead>
						<tfoot>
							<p>NS: non significant; <sup>a</sup>Outpatient: includes patients diagnosed in primary care centres and emergency rooms at hospitals.</p>
						</tfoot>
						<tbody valign="top">
							<row rowsep="1">
								<entry colname="c1" nameend="c8" namest="c1">
									<p>Medical visits</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Primary care</p>
								</entry>
								<entry colname="c2">
									<p>83.2</p>
								</entry>
								<entry colname="c3">
									<p>2.8 (2.8)</p>
								</entry>
								<entry colname="c4">
									<p>59.3</p>
								</entry>
								<entry colname="c5">
									<p>2.0 (2.5)</p>
								</entry>
								<entry colname="c6">
									<p>73.3</p>
								</entry>
								<entry colname="c7">
									<p>2.5 (2.7)</p>
								</entry>
								<entry colname="c8">
									<p>&lt;0.001</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Specialist</p>
								</entry>
								<entry colname="c2">
									<p>48.8</p>
								</entry>
								<entry colname="c3">
									<p>0.9 (2.1)</p>
								</entry>
								<entry colname="c4">
									<p>71.8</p>
								</entry>
								<entry colname="c5">
									<p>1.8 (2.0)</p>
								</entry>
								<entry colname="c6">
									<p>58.3</p>
								</entry>
								<entry colname="c7">
									<p>1.3 (2.1)</p>
								</entry>
								<entry colname="c8">
									<p>&lt;0.001</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Emergency room</p>
								</entry>
								<entry colname="c2">
									<p>51.8</p>
								</entry>
								<entry colname="c3">
									<p>0.1 (0.3)</p>
								</entry>
								<entry colname="c4">
									<p>6.5</p>
								</entry>
								<entry colname="c5">
									<p>0.1 (0.2)</p>
								</entry>
								<entry colname="c6">
									<p>32.9</p>
								</entry>
								<entry colname="c7">
									<p>0.1 (0.3)</p>
								</entry>
								<entry colname="c8">
									<p>NS</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1" nameend="c8" namest="c1">
									<p>Test</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Laboratory tests</p>
								</entry>
								<entry colname="c2">
									<p>35.3</p>
								</entry>
								<entry colname="c3">
									<p>0.4 (0.7)</p>
								</entry>
								<entry colname="c4">
									<p>38.6</p>
								</entry>
								<entry colname="c5">
									<p>0.5 (0.7)</p>
								</entry>
								<entry colname="c6">
									<p>36.7</p>
								</entry>
								<entry colname="c7">
									<p>0.4 (0.7)</p>
								</entry>
								<entry colname="c8">
									<p>NS</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Conventional radiology</p>
								</entry>
								<entry colname="c2">
									<p>100</p>
								</entry>
								<entry colname="c3">
									<p>0.8 (0.8)</p>
								</entry>
								<entry colname="c4">
									<p>100</p>
								</entry>
								<entry colname="c5">
									<p>0.4 (0.7)</p>
								</entry>
								<entry colname="c6">
									<p>100</p>
								</entry>
								<entry colname="c7">
									<p>0.7 (0.8)</p>
								</entry>
								<entry colname="c8">
									<p>&lt;0.001</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Complementary tests</p>
								</entry>
								<entry colname="c2">
									<p>5.9</p>
								</entry>
								<entry colname="c3">
									<p>0.1 (0.3)</p>
								</entry>
								<entry colname="c4">
									<p>7.9</p>
								</entry>
								<entry colname="c5">
									<p>0.1 (0.3)</p>
								</entry>
								<entry colname="c6">
									<p>6.7</p>
								</entry>
								<entry colname="c7">
									<p>0.1 (0.3)</p>
								</entry>
								<entry colname="c8">
									<p>NS</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Hospitalizations</p>
								</entry>
								<entry colname="c2">
									<p>---</p>
								</entry>
								<entry colname="c3">
									<p>---</p>
								</entry>
								<entry colname="c4">
									<p>100</p>
								</entry>
								<entry colname="c5">
									<p>4.4 (0.3)</p>
								</entry>
								<entry colname="c6">
									<p>---</p>
								</entry>
								<entry colname="c7">
									<p>---</p>
								</entry>
								<entry colname="c8">
									<p>---</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Lost productivity</p>
								</entry>
								<entry colname="c2">
									<p>20.9</p>
								</entry>
								<entry colname="c3">
									<p>4.7 (12.4)</p>
								</entry>
								<entry colname="c4">
									<p>6.2</p>
								</entry>
								<entry colname="c5">
									<p>2.1 (10.6)</p>
								</entry>
								<entry colname="c6">
									<p>14.2</p>
								</entry>
								<entry colname="c7">
									<p>3.7 (11.7)</p>
								</entry>
								<entry colname="c8">
									<p>0.009</p>
								</entry>
							</row>
						</tbody>
					</tgroup>
				</table><p>Table <tblr tid="T5">5</tblr> shows overall and by-component, per-patient costs. Per-patient mean total expenditure was &#8364;1,365.07 (568.48 per outpatient vs. 2,465.65 per inpatient, p&lt;0.001), of which 85.3% (&#8364;1,164.49) was due to direct costs and the remaining 14.7% (&#8364;201.48) to lost productivity. While direct costs were significantly higher for inpatients (&#8364;2,347.05 vs. &#8364;326.25 per outpatient, p&lt;0.001), indirect costs were significantly higher for outpatients (&#8364;260.23 vs. &#8364;118.60 per inpatient, p= 0.009). Healthcare costs were mainly derived from length of hospital stay (60.9%) followed by medical visits (17.2% in total corresponding to 9.7% for specialists, 4.2% for primary care and 3.3% for emergency room visits), pharmacological treatments (5.2%) and diagnostic tests (1.9%).</p>
				<table id="T5">
					<title>
						<p>Table 5</p>
					</title>
					<caption>
						<p>
							<b>Overall and by-component, per-patient costs expressed in Euros</b>
						</p>
					</caption>
					<tgroup align="left" cols="6">
						<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
						<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
						<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
						<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
						<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
						<colspec align="left" colname="c6" colnum="6" colwidth="1*"/>
						<thead valign="top">
							<row rowsep="1">
								<entry colname="c1"/>
								<entry colname="c2">
									<p>
										<b>Outpatients</b>
										<sup>
											<b>a</b>
										</sup> <b>N=340</b>
									</p>
								</entry>
								<entry colname="c3">
									<p>
										<b>Inpatients N=241</b>
									</p>
								</entry>
								<entry colname="c4">
									<p>
										<b>Total N=581</b>
									</p>
								</entry>
								<entry colname="c5">
									<p>
										<b>p</b>
									</p>
								</entry>
								<entry colname="c6">
									<p>
										<b>% Total cost</b>
									</p>
								</entry>
							</row>
						</thead>
						<tfoot>
							<p>
								<sup>a</sup>Outpatient: includes patients diagnosed in primary care centres and emergency rooms at hospitals.</p>
						</tfoot>
						<tbody valign="top">
							<row rowsep="1">
								<entry colname="c1" nameend="c6" namest="c1">
									<p>Medical visits</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Primary care</p>
								</entry>
								<entry colname="c2">
									<p>65.48</p>
								</entry>
								<entry colname="c3">
									<p>46.42</p>
								</entry>
								<entry colname="c4">
									<p>57.57</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>4.2</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Specialist</p>
								</entry>
								<entry colname="c2">
									<p>95.74</p>
								</entry>
								<entry colname="c3">
									<p>185.61</p>
								</entry>
								<entry colname="c4">
									<p>133.02</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>9.7</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Emergency room</p>
								</entry>
								<entry colname="c2">
									<p>71.73</p>
								</entry>
								<entry colname="c3">
									<p>7.17</p>
								</entry>
								<entry colname="c4">
									<p>44.95</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>3.3</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Test</p>
								</entry>
								<entry colname="c2"/>
								<entry colname="c3"/>
								<entry colname="c4"/>
								<entry colname="c5"/>
								<entry colname="c6"/>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Laboratory tests</p>
								</entry>
								<entry colname="c2">
									<p>10.42</p>
								</entry>
								<entry colname="c3">
									<p>10.98</p>
								</entry>
								<entry colname="c4">
									<p>10.65</p>
								</entry>
								<entry colname="c5">
									<p>NS</p>
								</entry>
								<entry colname="c6">
									<p>0.8</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Conventional radiology</p>
								</entry>
								<entry colname="c2">
									<p>14.89</p>
								</entry>
								<entry colname="c3">
									<p>8.28</p>
								</entry>
								<entry colname="c4">
									<p>12.15</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>0.9</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Complementary tests</p>
								</entry>
								<entry colname="c2">
									<p>2.36</p>
								</entry>
								<entry colname="c3">
									<p>3.48</p>
								</entry>
								<entry colname="c4">
									<p>2.82</p>
								</entry>
								<entry colname="c5">
									<p>NS</p>
								</entry>
								<entry colname="c6">
									<p>0.2</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Pharmacological treatments</p>
								</entry>
								<entry colname="c2">
									<p>65.65</p>
								</entry>
								<entry colname="c3">
									<p>78.66</p>
								</entry>
								<entry colname="c4">
									<p>71.05</p>
								</entry>
								<entry colname="c5">
									<p>0.002</p>
								</entry>
								<entry colname="c6">
									<p>5.2</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Hospitalizations</p>
								</entry>
								<entry colname="c2">
									<p>0.00</p>
								</entry>
								<entry colname="c3">
									<p>2006.45</p>
								</entry>
								<entry colname="c4">
									<p>832.28</p>
								</entry>
								<entry colname="c5"/>
								<entry colname="c6">
									<p>60.9</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Hospital admission</p>
								</entry>
								<entry colname="c2">
									<p>0.00</p>
								</entry>
								<entry colname="c3">
									<p>1625.22</p>
								</entry>
								<entry colname="c4">
									<p>674.15</p>
								</entry>
								<entry colname="c5"/>
								<entry colname="c6">
									<p>49.3</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Readmission</p>
								</entry>
								<entry colname="c2">
									<p>0.00</p>
								</entry>
								<entry colname="c3">
									<p>381.23</p>
								</entry>
								<entry colname="c4">
									<p>158.13</p>
								</entry>
								<entry colname="c5"/>
								<entry colname="c6">
									<p>11.6</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Direct costs</p>
								</entry>
								<entry colname="c2">
									<p>326.25</p>
								</entry>
								<entry colname="c3">
									<p>2,347.05</p>
								</entry>
								<entry colname="c4">
									<p>1,164.49</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>85.2</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>Indirect costs</p>
								</entry>
								<entry colname="c2">
									<p>260.23</p>
								</entry>
								<entry colname="c3">
									<p>118.60</p>
								</entry>
								<entry colname="c4">
									<p>201.48</p>
								</entry>
								<entry colname="c5">
									<p>0.009</p>
								</entry>
								<entry colname="c6">
									<p>14.8</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>
										<b>Total costs</b>
									</p>
								</entry>
								<entry colname="c2">
									<p>586.48</p>
								</entry>
								<entry colname="c3">
									<p>2,465.65</p>
								</entry>
								<entry colname="c4">
									<p>1,365.97</p>
								</entry>
								<entry colname="c5">
									<p>&lt;0.001</p>
								</entry>
								<entry colname="c6">
									<p>100</p>
								</entry>
							</row>
						</tbody>
					</tgroup>
				</table><p>The adjusted mean total cost per outpatient was &#8364;698.5 (direct cost &#8364;484.5; indirect cost &#8364;214.0) and per inpatient was &#8364;2,332.4 (direct cost &#8364;2,140.8; indirect cost &#8364;191,6). In the multivariate analysis, CAP costs were significantly (p&lt;0.001) associated with readmission (r=0.667), PSI score (r=0.437) and age (r=0.303). Overall, per-patient costs increased with age (&lt;65 years &#8364;1,137.96 vs. &#8805;65 years &#8364;1,716.45, p&lt;0.001), due mainly to the increase in direct costs. Among hospitalized patients, significant differences in direct costs were found between patients aged 18&#8211;49 years vs. those &#8805;75 years (&#8364;2,151.60 vs. &#8364;2,554.84, p= 0.003) while among ambulatory patients no significant differences were found. Patients showing specific comorbidities had significantly (p&lt;0.001) higher hospital-related costs: diabetes mellitus (&#8364;3,057.7), stroke (&#8364;2,960.2), liver disease (&#8364;2,896.6) and COPD (&#8364;2,701.9).</p>
			</sec>
			<sec>
				<st>
					<p>Pn-CAP</p>
				</st><p>Pneumococcal CAP (Pn-CAP) was identified in 82 out of 241 (34.0%) inpatients and in 25 out of 340 (7.4%) outpatients. Prevalence of Pn-CAP was 0.07% and annual incidence was 1.0 cases/1,000 adult inhabitants. Hospitalization rate was 76.6%. Approximately one-third (33.3%) of patients presenting Pn-CAP had been vaccinated with the 23-valent <it>S pneumoniae</it> vaccine. Among inpatients with Pn-CAP, comorbidities as COPD (42.7% vs. 33.3%), diabetes mellitus (37.8% vs. 25.8%) and asthma (18.3% vs. 9.4%) were significantly (p&lt;0.05) more frequent than among the remaining inpatients with CAP in the study, without differences in demographic data, treatments administered or in-hospital complications. In addition, mean PSI score (89.3) and time to recovery (36 days, 95% CI 23.7-48.2) were also significantly (p&lt;0.05) higher among hospitalized patients with Pn-CAP. Inpatients with Pn-CAP had a higher overall mean cost (&#8364;2,864.7 vs. &#8364;2,259.8, p&lt;0.05) and higher direct costs (&#8364;2,722.1 vs. &#8364;2,153.6, p&lt;0.05), without differences in lost productivity.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Discussion</p>
			</st><p>Although there is a high variability in published data on annual incidence of CAP, the incidence in the present series (3.0/1,000 adults) is within the range described by others <abbrgrp>
					<abbr bid="B2">2</abbr>
					<abbr bid="B6">6</abbr>
					<abbr bid="B13">13</abbr>
					<abbr bid="B19">19</abbr>
					<abbr bid="B38">38</abbr>
				</abbrgrp> but two-times higher than the annual incidence in a previous study in a similar area <abbrgrp>
					<abbr bid="B37">37</abbr>
				</abbrgrp>. Although hospitalization rates depend on the structure of the primary and secondary healthcare system of the studied area, the percentage of patients admitted in hospitals found in our study (41.5%) is in accordance with published rates <abbrgrp>
					<abbr bid="B7">7</abbr>
					<abbr bid="B13">13</abbr>
					<abbr bid="B14">14</abbr>
					<abbr bid="B36">36</abbr>
					<abbr bid="B39">39</abbr>
				</abbrgrp> but lower than the percentage described in other studies <abbrgrp>
					<abbr bid="B37">37</abbr>
					<abbr bid="B40">40</abbr>
				</abbrgrp> where probably underestimation of ambulatory cases could have occurred. The multivariate analysis performed to investigate variables associated with hospitalization identified liver disease, stroke, dementia, COPD, diabetes mellitus and age as significant variables. Some of them had been previously described as being significantly different between inpatients and outpatients <abbrgrp>
					<abbr bid="B37">37</abbr>
				</abbrgrp>. The length of hospitalization showed linear positive correlation with PSI score, associated in turn with age and Charlson comorbidity index. Of interest is the low percentage of patients requiring ICU admission in our series (0.8%), markedly lower than in other studies <abbrgrp>
					<abbr bid="B1">1</abbr>
					<abbr bid="B37">37</abbr>
				</abbrgrp>.</p><p>No two studies of the etiology of CAP are the same. Differences in frequency of pathogens may be due to healthcare delivery (primary vs. secondary care), hospital and ICU admission practices, population factors (comorbidities, alcoholism&#8230;) and study factors <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. In our series microbiological studies were performed in 62% patients, with great differences in relation to site of care (100% inpatients vs. 35% outpatients), probably because for patients managed in the community microbiological investigations are not recommended routinely <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. In nearly half of cases with microbiological tests, the etiological agent could not be identified in accordance with results of previous studies <abbrgrp>
					<abbr bid="B9">9</abbr>
					<abbr bid="B10">10</abbr>
					<abbr bid="B11">11</abbr>
					<abbr bid="B12">12</abbr>
					<abbr bid="B13">13</abbr>
					<abbr bid="B14">14</abbr>
					<abbr bid="B15">15</abbr>
				</abbrgrp>, showing again the need for improving microbiological diagnostic tools for CAP. As expected, <it>S. pneumoniae</it> was the most frequent etiological agent among patients with identified pathogen, accounting for approximately one-third of outpatients and two-third of inpatients. Vaccination with the 23-valent pneumococcal vaccine has been reported as cost-effective in individuals aged &#8805;45 years in our area <abbrgrp>
					<abbr bid="B41">41</abbr>
				</abbrgrp>, however, up to 23.1% of patients with Pn-CAP in our series had been previously vaccinated. This finding suggests the need for improving pneumococcal vaccination strategies, an important point since in Spain nonsusceptibility rates to &#946;-lactams and macrolides in <it>S. pneumoniae</it> are among the highest in the world <abbrgrp>
					<abbr bid="B15">15</abbr>
					<abbr bid="B42">42</abbr>
				</abbrgrp>. However, regardless antimicrobial susceptibility, the link between outcome and serotypes has been described in a published meta-analysis <abbrgrp>
					<abbr bid="B43">43</abbr>
				</abbrgrp>. The fact that levofloxacin was the compound most frequently used as treatment in our series (with macrolides or &#946;-lactam plus macrolides combinations used in &lt;5% cases) contrasts with data from a previous study in our area carried out in 1993&#8211;95 where figures were completely different with 65.5% use of macrolides <abbrgrp>
					<abbr bid="B38">38</abbr>
				</abbrgrp>, and could be associated with the high non-susceptibility rates to &#946;-lactams and macrolides in <it>S. pneumoniae</it> in our country. In the present study, <it>Legionella pneumophila</it> was only identified in 7% patients with etiological filiation, without differences in relation to the site of care. This suggests that when establishing empirical antimicrobial therapy in our region, coverage of <it>Legionella</it> should be considered even in outpatients.</p><p>Pneumonia is the fifth to ninth leading cause of death in developed countries <abbrgrp>
					<abbr bid="B39">39</abbr>
					<abbr bid="B44">44</abbr>
					<abbr bid="B45">45</abbr>
				</abbrgrp>. Despite mortality of CAP varies depending on the series and site of care, mortality of CAP managed in the community is &lt;1% and from 4% to 10% for hospitalized CAP <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>. In our series, mortality (2.5% for inpatients and 0% for outpatients) was low and length of stay short, probably related to PSI distribution of patients at admission. However, other indices of patient evolution as readmission (19.1%) or time to recovery (29.9 days) were similar or slightly higher than those published <abbrgrp>
					<abbr bid="B7">7</abbr>
					<abbr bid="B37">37</abbr>
					<abbr bid="B46">46</abbr>
					<abbr bid="B47">47</abbr>
				</abbrgrp>. As in a previous study <abbrgrp>
					<abbr bid="B48">48</abbr>
				</abbrgrp>, readmissions were associated with comorbidities.</p><p>It has been reported that costs of CAP requiring hospital admission are eight-times higher than those managed in the community <abbrgrp>
					<abbr bid="B37">37</abbr>
				</abbrgrp>. This ratio was lower (3.3-times) in our study where the adjusted mean total cost was &#8364;698.6 per-outpatient and &#8364;2,332.4 per-inpatient. However, costs in the present study were higher than those in previous studies focused on direct hospital costs, both in our country (&#8364;1,210 <abbrgrp>
					<abbr bid="B49">49</abbr>
				</abbrgrp>, and &#8364;1,847 <abbrgrp>
					<abbr bid="B50">50</abbr>
				</abbrgrp>), Germany (&#8364;1,201) <abbrgrp>
					<abbr bid="B51">51</abbr>
				</abbrgrp> or Italy (&#8364;1,587) <abbrgrp>
					<abbr bid="B52">52</abbr>
				</abbrgrp>. Higher costs in our country are probably related with the more recent study period, the higher rate of readmissions, and mainly with the higher number of analyzed variables, including lost of working days. However, it should be considered that indirect costs in this study could be underestimated since they were calculated based on the minimum interprofessional salary in Spain instead of mean salary amount. In addition, 39.4% patients were &#8805;65 years, the majority probably retired and thus, without lost of working days. In this sense, the fact that indirect costs were higher in outpatients than inpatients may be related with the significantly higher percentage of patients &#8805;65 years among inpatients vs. outpatients (59.0% vs. 25.6%). Interestingly, hospitalized patients with Pn-CAP showed significantly higher overall mean costs and direct costs, due to longer time to recovery in relation to significantly higher percentage of comorbidities (COPD, diabetes mellitus and asthma) and PSI score.</p><p>Several limitations can be identified in our study making difficult extrapolation of results. It was limited to a specific geographical area, with a specific healthcare system, and costs calculated with local data. In addition, limitations derived from the retrospective nature of the observational study design are also applicable.</p>
		</sec>
		<sec>
			<st>
				<p>Conclusions</p>
			</st><p>The results of this study show that CAP has a large economic impact derived from the use of healthcare resources for inpatients and both direct and indirect costs for outpatients. Strategies preventing CAP (such as influenza and pneumococcal vaccination of population at risk defined by age and comorbidities), and reducing hospital admission rates (as domiciliary hospitalization programmes) or hospital resources (short-term hospitalization units) could likely produce substantial costs savings in addition to the reduction of CAP burden.</p>
		</sec>
		<sec>
			<st>
				<p>Abbreviations</p>
			</st><p>CAP: Community-acquired pneumonia; COPD: Chronic obstructive pulmonary disease; ICU: Intensive care unit; Pn-CAP: Pneumococcal CAP; PSI: Pneumonia severity index; RUB: Resource utilization band.</p>
		</sec>
		<sec>
			<st>
				<p>Competing interests</p>
			</st><p>IC and PG are employees of Pfizer S.L.U, Madrid, Spain.</p>
		</sec>
		<sec>
			<st>
				<p>Authors&#8217; contributions</p>
			</st><p>Conceived and designed the study: AS-M, IC and PG. Collection of data: AS-M, JI-N, RN-A. Analyzed the data: AS-M, LA. Wrote the paper: AS-M, LA. Reviewed and approved the manuscript: all authors.</p>
		</sec>
	</bdy>
	<bm>
		<ack>
			<sec>
				<st>
					<p>Acknowledgements</p>
				</st><p>We thank all physicians of the area that made possible this study and MJ Gimenez (Microbiology Dpt., School of Medicine, Univ. Complutense, Madrid, Spain) for her critical review of the manuscript.</p><p>This study was sponsored by Pfizer S.L.U, Madrid (Spain).</p>
			</sec>
		</ack>
		<refgrp><bibl id="B1"><title><p>Guidelines for the management of community acquired pneumonia in adults: update 2009</p></title><aug><au><cnm>British Thoracic Society</cnm></au></aug><source>Thorax</source><pubdate>2009</pubdate><volume>64</volume><issue>Suppl. III</issue><fpage>iii1</fpage><lpage>iii55</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">19783532</pubid></xrefbib></bibl><bibl id="B2"><title><p>Epidemiology of community-acquired pneumonia in adults: a population-based study</p></title><aug><au><snm>Almirall</snm><fnm>J</fnm></au><au><snm>Bol&#237;bar</snm><fnm>I</fnm></au><au><snm>Vidal</snm><fnm>J</fnm></au><au><snm>Sauca</snm><fnm>G</fnm></au><au><snm>Coll</snm><fnm>P</fnm></au><au><snm>Niklasson</snm><fnm>B</fnm></au><au><snm>Bartolom&#233;</snm><fnm>M</fnm></au><au><snm>Balanz&#243;</snm><fnm>X</fnm></au></aug><source>Eur Respir J</source><pubdate>2000</pubdate><volume>15</volume><fpage>757</fpage><lpage>763</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1034/j.1399-3003.2000.15d21.x</pubid><pubid idtype="pmpid" link="fulltext">10780770</pubid></pubidlist></xrefbib></bibl><bibl id="B3"><title><p>Defining and predicting severe community-acquired pneumonia</p></title><aug><au><snm>Brown</snm><fnm>SM</fnm></au><au><snm>Dean</snm><fnm>NC</fnm></au></aug><source>Curr Opin Infect Dis</source><pubdate>2010</pubdate><volume>23</volume><fpage>158</fpage><lpage>164</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1097/QCO.0b013e3283368333</pubid><pubid idtype="pmcid">2875269</pubid><pubid idtype="pmpid" link="fulltext">20051847</pubid></pubidlist></xrefbib></bibl><bibl id="B4"><title><p>Prognostic factors in community-acquired pneumonia [Article in Spanish]</p></title><aug><au><snm>de Miguel</snm><fnm>DJ</fnm></au><au><snm>Alvarez-Sala</snm><fnm>JL</fnm></au></aug><source>An Med Interna</source><pubdate>2007</pubdate><volume>24</volume><fpage>465</fpage><lpage>466</lpage><xrefbib><pubid idtype="pmpid">18271648</pubid></xrefbib></bibl><bibl id="B5"><title><p>Epidemiology of community-acquired pneumonia in adult patients at the dawn of the 21st century: a prospective study on the Mediterranean coast of Spain</p></title><aug><au><snm>Guti&#233;rrez</snm><fnm>F</fnm></au><au><snm>Masi&#225;</snm><fnm>M</fnm></au><au><snm>Rodr&#237;guez</snm><fnm>JC</fnm></au><au><snm>Mirete</snm><fnm>C</fnm></au><au><snm>Sold&#225;n</snm><fnm>B</fnm></au><au><snm>Padilla</snm><fnm>S</fnm></au><au><snm>Hern&#225;ndez</snm><fnm>I</fnm></au><au><snm>De Ory</snm><fnm>F</fnm></au><au><snm>Royo</snm><fnm>G</fnm></au><au><snm>Hidalgo</snm><fnm>AM</fnm></au></aug><source>Clin Microbiol Infect</source><pubdate>2005</pubdate><volume>11</volume><fpage>788</fpage><lpage>800</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1469-0691.2005.01226.x</pubid><pubid idtype="pmpid" link="fulltext">16153252</pubid></pubidlist></xrefbib></bibl><bibl id="B6"><title><p>Guidelines for the treatment of community-acquired pneumonia: predictors of adherence and outcome</p></title><aug><au><snm>Men&#233;ndez</snm><fnm>R</fnm></au><au><snm>Torres</snm><fnm>A</fnm></au><au><snm>Zalaca&#237;n</snm><fnm>R</fnm></au><au><snm>Aspa</snm><fnm>J</fnm></au><au><snm>Mart&#237;n-Villasclaras</snm><fnm>JJ</fnm></au><au><snm>Border&#237;as</snm><fnm>L</fnm></au><au><snm>Ben&#237;tez-Moya</snm><fnm>JM</fnm></au><au><snm>Ruiz-Manzano</snm><fnm>J</fnm></au><au><snm>de Castro</snm><fnm>FR</fnm></au><au><snm>Blanquer</snm><fnm>J</fnm></au><au><snm>P&#233;rez</snm><fnm>D</fnm></au><au><snm>Puzo</snm><fnm>C</fnm></au><au><snm>S&#225;nchez-Gasc&#243;n</snm><fnm>F</fnm></au><au><snm>Gallardo</snm><fnm>J</fnm></au><au><snm>Alvarez</snm><fnm>C</fnm></au><au><snm>Molinos</snm><fnm>L</fnm></au><au><cnm>NEUMOFAIL Group</cnm></au></aug><source>Am J Respir Crit Care Med</source><pubdate>2005</pubdate><volume>172</volume><fpage>757</fpage><lpage>762</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1164/rccm.200411-1444OC</pubid><pubid idtype="pmpid" link="fulltext">15937289</pubid></pubidlist></xrefbib></bibl><bibl id="B7"><title><p>Etiology, reasons for hospitalization, risk classes, and outcomes of community-acquired pneumonia in patients hospitalized on the basis of conventional admission criteria</p></title><aug><au><snm>Ros&#243;n</snm><fnm>B</fnm></au><au><snm>Carratal&#224;</snm><fnm>J</fnm></au><au><snm>Dorca</snm><fnm>J</fnm></au><au><snm>Casanova</snm><fnm>A</fnm></au><au><snm>Manresa</snm><fnm>F</fnm></au><au><snm>Gudiol</snm><fnm>F</fnm></au></aug><source>Clin Infect Dis</source><pubdate>2001</pubdate><volume>33</volume><fpage>158</fpage><lpage>165</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1086/321808</pubid><pubid idtype="pmpid" link="fulltext">11418874</pubid></pubidlist></xrefbib></bibl><bibl id="B8"><title><p>Epidemiology of community-acquired pneumonia in older adults: a population-based study</p></title><aug><au><snm>Vila-Corcoles</snm><fnm>A</fnm></au><au><snm>Ochoa-Gondar</snm><fnm>O</fnm></au><au><snm>Rodriguez-Blanco</snm><fnm>T</fnm></au><au><snm>Raga-Luria</snm><fnm>X</fnm></au><au><snm>Gomez-Bertomeu</snm><fnm>F</fnm></au><au><cnm>EPIVAC Study Group</cnm></au></aug><source>Respir Med</source><pubdate>2009</pubdate><volume>103</volume><fpage>309</fpage><lpage>316</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.rmed.2008.08.006</pubid><pubid idtype="pmpid" link="fulltext">18804355</pubid></pubidlist></xrefbib></bibl><bibl id="B9"><title><p>Community acquired pneumonia in patients older than 60 years. Incidence of atypical agents and clinical-radiological progression</p></title><aug><au><snm>Alvarez Guti&#233;rrez</snm><fnm>FJ</fnm></au><au><snm>Garc&#237;a Fern&#225;ndez</snm><fnm>A</fnm></au><au><snm>El&#237;as Hern&#225;ndez</snm><fnm>T</fnm></au><au><snm>Romero Contreras</snm><fnm>J</fnm></au><au><snm>Romero Romero</snm><fnm>B</fnm></au><au><snm>Castillo G&#243;mez</snm><fnm>J</fnm></au></aug><source>Med Clin (Barc)</source><pubdate>2001</pubdate><volume>117</volume><fpage>441</fpage><lpage>445</lpage></bibl><bibl id="B10"><title><p>Validation and comparison of SCAP as a predictive score for identifying low-risk patients in community-acquired pneumonia</p></title><aug><au><snm>Espa&#241;a</snm><fnm>PP</fnm></au><au><snm>Capelastegui</snm><fnm>A</fnm></au><au><snm>Quintana</snm><fnm>JM</fnm></au><au><snm>Bilbao</snm><fnm>A</fnm></au><au><snm>Diez</snm><fnm>R</fnm></au><au><snm>Pascual</snm><fnm>S</fnm></au><au><snm>Esteban</snm><fnm>C</fnm></au><au><snm>Zalaca&#237;n</snm><fnm>R</fnm></au><au><snm>Menendez</snm><fnm>R</fnm></au><au><snm>Torres</snm><fnm>A</fnm></au></aug><source>J Infect</source><pubdate>2010</pubdate><volume>60</volume><fpage>106</fpage><lpage>113</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.jinf.2009.11.013</pubid><pubid idtype="pmpid" link="fulltext">19961875</pubid></pubidlist></xrefbib></bibl><bibl id="B11"><title><p>Using electronic health records to measure physician performance for acute conditions in primary care: empirical evaluation of the community-acquired pneumonia clinical quality measure set</p></title><aug><au><snm>Linder</snm><fnm>JA</fnm></au><au><snm>Kaleba</snm><fnm>EO</fnm></au><au><snm>Kmetik</snm><fnm>KS</fnm></au></aug><source>Med Care</source><pubdate>2009</pubdate><volume>47</volume><fpage>208</fpage><lpage>216</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1097/MLR.0b013e318189375f</pubid><pubid idtype="pmpid" link="fulltext">19169122</pubid></pubidlist></xrefbib></bibl><bibl id="B12"><title><p>Clinical policy: critical issues in the management of adult patients presenting to the emergency department with community-acquired pneumonia</p></title><aug><au><snm>Nazarian</snm><fnm>DJ</fnm></au><au><snm>Eddy</snm><fnm>OL</fnm></au><au><snm>Lukens</snm><fnm>TW</fnm></au><au><snm>Weingart</snm><fnm>SD</fnm></au><au><snm>Decker</snm><fnm>WW</fnm></au></aug><source>Ann Emerg Med</source><pubdate>2009</pubdate><volume>54</volume><fpage>704</fpage><lpage>731</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.annemergmed.2009.07.002</pubid><pubid idtype="pmpid" link="fulltext">19853781</pubid></pubidlist></xrefbib></bibl><bibl id="B13"><title><p>Clinical management of community-acquired pneumonia in adults [Article in Spanish]</p></title><aug><au><snm>Pach&#243;n</snm><fnm>J</fnm></au><au><snm>Alc&#225;ntara Bell&#243;n Jde</snm><fnm>D</fnm></au><au><snm>Cordero Mat&#237;a</snm><fnm>E</fnm></au><au><snm>Camacho Espejo</snm><fnm>A</fnm></au><au><snm>Lama Herrera</snm><fnm>C</fnm></au><au><snm>Rivero Rom&#225;n</snm><fnm>A</fnm></au><au><cnm>Sociedad Andaluza de Enfermedades Infecciosas (SAEI); Sociedad Andaluza de Medicina Familiar y Comunitaria (SAMFYC)</cnm></au></aug><source>Med Clin (Barc)</source><pubdate>2009</pubdate><volume>133</volume><fpage>63</fpage><lpage>73</lpage><xrefbib><pubid idtype="doi">10.1016/j.medcli.2009.01.032</pubid></xrefbib></bibl><bibl id="B14"><title><p>Initial empirical antibiotic treatment of community-acquired pneumonia in immunocompetent adult patients [Article in Spanish]</p></title><aug><au><cnm>Sociedad Espa&#241;ola de Neumolog&#237;a y Cirug&#237;a Tor&#225;cica (SEPAR), Sociedad Espa&#241;ola de Quimioterapia (SEQ), Sociedad Espa&#241;ola de Medicina Interna (SEMI) y Sociedad Espa&#241;ola de Medicina de Urgencias y Emergencias (SEMES)</cnm></au></aug><source>Rev Esp Quimioter</source><pubdate>2003</pubdate><volume>16</volume><fpage>457</fpage><lpage>466</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">14961143</pubid></xrefbib></bibl><bibl id="B15"><title><p>Community-acquired pneumonia in Europe: causative pathogens and resistance patterns</p></title><aug><au><snm>Woodhead</snm><fnm>M</fnm></au></aug><source>Eur Respir J Suppl</source><pubdate>2002</pubdate><volume>36</volume><fpage>20s</fpage><lpage>27s</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">12168744</pubid></xrefbib></bibl><bibl id="B16"><title><p>Community-acquired pneumonia</p></title><aug><au><snm>Bartlett</snm><fnm>JG</fnm></au><au><snm>Mundy</snm><fnm>LM</fnm></au></aug><source>N Engl J Med</source><pubdate>1995</pubdate><volume>333</volume><fpage>1618</fpage><lpage>1624</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1056/NEJM199512143332408</pubid><pubid idtype="pmpid" link="fulltext">7477199</pubid></pubidlist></xrefbib></bibl><bibl id="B17"><title><p>Community-acquired pneumonia: etiology, epidemiology, and outcome at a teaching hospital in Argentina</p></title><aug><au><snm>Luna</snm><fnm>CM</fnm></au><au><snm>Famiglietti</snm><fnm>A</fnm></au><au><snm>Absi</snm><fnm>R</fnm></au><au><snm>Videla</snm><fnm>AJ</fnm></au><au><snm>Nogueira</snm><fnm>FJ</fnm></au><au><snm>Fuenzalida</snm><fnm>AD</fnm></au><au><snm>Gen&#233;</snm><fnm>RJ</fnm></au></aug><source>Chest</source><pubdate>2000</pubdate><volume>118</volume><fpage>1344</fpage><lpage>1354</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1378/chest.118.5.1344</pubid><pubid idtype="pmpid">11083685</pubid></pubidlist></xrefbib></bibl><bibl id="B18"><title><p>A prediction rule to identify low-risk patients with community-acquired pneumonia</p></title><aug><au><snm>Fine</snm><fnm>MJ</fnm></au><au><snm>Auble</snm><fnm>TE</fnm></au><au><snm>Yealy</snm><fnm>DM</fnm></au><au><snm>Hanusa</snm><fnm>BH</fnm></au><au><snm>Weissfeld</snm><fnm>LA</fnm></au><au><snm>Singer</snm><fnm>DE</fnm></au><au><snm>Coley</snm><fnm>CM</fnm></au><au><snm>Marrie</snm><fnm>TJ</fnm></au><au><snm>Kapoor</snm><fnm>WN</fnm></au></aug><source>N Engl J Med</source><pubdate>1997</pubdate><volume>336</volume><fpage>243</fpage><lpage>250</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1056/NEJM199701233360402</pubid><pubid idtype="pmpid" link="fulltext">8995086</pubid></pubidlist></xrefbib></bibl><bibl id="B19"><title><p>Guidelines for the management of adults with community-acquired pneumonia. Diagnosis, assessment of severity, antimicrobial therapy, and prevention</p></title><aug><au><snm>Niederman</snm><fnm>MS</fnm></au><au><snm>Mandell</snm><fnm>LA</fnm></au><au><snm>Anzueto</snm><fnm>A</fnm></au><au><snm>Bass</snm><fnm>JB</fnm></au><au><snm>Broughton</snm><fnm>WA</fnm></au><au><snm>Campbell</snm><fnm>GD</fnm></au><au><snm>Dean</snm><fnm>N</fnm></au><au><snm>File</snm><fnm>T</fnm></au><au><snm>Fine</snm><fnm>MJ</fnm></au><au><snm>Gross</snm><fnm>PA</fnm></au><au><snm>Martinez</snm><fnm>F</fnm></au><au><snm>Marrie</snm><fnm>TJ</fnm></au><au><snm>Plouffe</snm><fnm>JF</fnm></au><au><snm>Ramirez</snm><fnm>J</fnm></au><au><snm>Sarosi</snm><fnm>GA</fnm></au><au><snm>Torres</snm><fnm>A</fnm></au><au><snm>Wilson</snm><fnm>R</fnm></au><au><snm>Yu</snm><fnm>VL</fnm></au><au><cnm>American Thoracic Society</cnm></au></aug><source>Am J Respir Crit Care Med</source><pubdate>2001</pubdate><volume>163</volume><fpage>1730</fpage><lpage>1754</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">11401897</pubid></xrefbib></bibl><bibl id="B20"><title><p>Usefulness of the CRB-65 scale for prognosis assessment of patients 65 years or older with community-acquired pneumonia [Article in Spanish]</p></title><aug><au><snm>Vila</snm><fnm>CA</fnm></au><au><snm>Ochoa</snm><fnm>GO</fnm></au><au><snm>Rodriguez</snm><fnm>BT</fnm></au></aug><source>Med Clin (Barc)</source><pubdate>2010</pubdate><volume>135</volume><fpage>97</fpage><lpage>102</lpage><xrefbib><pubid idtype="doi">10.1016/j.medcli.2009.09.049</pubid></xrefbib></bibl><bibl id="B21"><title><p>Management and prevention strategies for community-acquired pneumonia in the Gulf Corporation Council</p></title><aug><au><snm>Memish</snm><fnm>ZA</fnm></au><au><snm>Arabi</snm><fnm>YM</fnm></au><au><snm>Ahmed</snm><fnm>QA</fnm></au><au><snm>Shibl</snm><fnm>AM</fnm></au><au><snm>Niederman</snm><fnm>MS</fnm></au><au><cnm>GCC CAP Working Group</cnm></au></aug><source>J Chemother</source><pubdate>2007</pubdate><volume>19</volume><issue>Suppl 1</issue><fpage>33</fpage><lpage>46</lpage><xrefbib><pubid idtype="pmpid">18073168</pubid></xrefbib></bibl><bibl id="B22"><title><p>Demographics, guidelines, and clinical experience in severe community-acquired pneumonia</p></title><aug><au><snm>Rello</snm><fnm>J</fnm></au></aug><source>Crit Care</source><pubdate>2008</pubdate><volume>12</volume><issue>Suppl 6</issue><fpage>S2</fpage><xrefbib><pubidlist><pubid idtype="doi">10.1186/cc7025</pubid><pubid idtype="pmcid">2607110</pubid><pubid idtype="pmpid" link="fulltext">19105800</pubid></pubidlist></xrefbib></bibl><bibl id="B23"><title><p>Evaluation of clinical practice, medical computerized database and improvement of antibiotic therapy for acute community-acquired pneumonia [Article in French]</p></title><aug><au><snm>Roger</snm><fnm>PM</fnm></au><au><snm>De Salvador</snm><fnm>F</fnm></au><au><snm>Schiano</snm><fnm>MH</fnm></au><au><snm>Cua</snm><fnm>E</fnm></au><au><snm>Rancurel</snm><fnm>S</fnm></au><au><snm>Farhad</snm><fnm>R</fnm></au><au><snm>Pulcini</snm><fnm>C</fnm></au><au><snm>Bernard</snm><fnm>E</fnm></au></aug><source>Med Mal Infect</source><pubdate>2010</pubdate><volume>40</volume><fpage>412</fpage><lpage>417</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.medmal.2009.12.006</pubid><pubid idtype="pmpid" link="fulltext">20116948</pubid></pubidlist></xrefbib></bibl><bibl id="B24"><title><p>Time to first antibiotic dose in community-acquired pneumonia diagnosed in an emergency department [Article in Spanish]</p></title><aug><au><snm>Romero Pizarro</snm><fnm>Y</fnm></au><au><snm>Bascu&#241;ana Morej&#243;n De Gir&#243;n</snm><fnm>J</fnm></au><au><snm>Vicu&#241;a Andr&#233;s</snm><fnm>I</fnm></au><au><snm>Ma&#237;nez Saiz</snm><fnm>C</fnm></au><au><snm>Criado Dabrowska</snm><fnm>C</fnm></au><au><snm>Moya Mir</snm><fnm>MS</fnm></au></aug><source>Rev Clin Esp</source><pubdate>2009</pubdate><volume>209</volume><fpage>409</fpage><lpage>414</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/S0014-2565(09)72512-3</pubid><pubid idtype="pmpid">19852908</pubid></pubidlist></xrefbib></bibl><bibl id="B25"><title><p>Guideline-recommended antibiotics in community-acquired pneumonia: not perfect, but good</p></title><aug><au><snm>Sharpe</snm><fnm>BA</fnm></au></aug><source>Arch Intern Med</source><pubdate>2009</pubdate><volume>169</volume><fpage>1462</fpage><lpage>1464</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1001/archinternmed.2009.272</pubid><pubid idtype="pmpid" link="fulltext">19752402</pubid></pubidlist></xrefbib></bibl><bibl id="B26"><title><p>Community acquired pneumonia and direct hospital cost</p></title><aug><au><snm>Doruk</snm><fnm>S</fnm></au><au><snm>Tertemiz</snm><fnm>KC</fnm></au><au><snm>K&#246;m&#252;s</snm><fnm>N</fnm></au><au><snm>U&#231;an</snm><fnm>ES</fnm></au><au><snm>Kilin&#231;</snm><fnm>O</fnm></au><au><snm>Sevin&#231;</snm><fnm>C</fnm></au></aug><source>Tuberk Toraks</source><pubdate>2009</pubdate><volume>57</volume><fpage>48</fpage><lpage>55</lpage><xrefbib><pubid idtype="pmpid">19533437</pubid></xrefbib></bibl><bibl id="B27"><title><p>Implementing a standardized order set for community-acquired pneumonia: impact on mortality and cost</p></title><aug><au><snm>Fleming</snm><fnm>NS</fnm></au><au><snm>Ogola</snm><fnm>G</fnm></au><au><snm>Ballard</snm><fnm>DJ</fnm></au></aug><source>Jt Comm J Qual Patient Saf</source><pubdate>2009</pubdate><volume>35</volume><fpage>414</fpage><lpage>421</lpage><xrefbib><pubid idtype="pmpid">19719077</pubid></xrefbib></bibl><bibl id="B28"><title><p>Determinants of hospital costs in community-acquired pneumonia</p></title><aug><au><snm>Reyes</snm><fnm>S</fnm></au><au><snm>Martinez</snm><fnm>R</fnm></au><au><snm>Vall&#233;s</snm><fnm>JM</fnm></au><au><snm>Cases</snm><fnm>E</fnm></au><au><snm>Menendez</snm><fnm>R</fnm></au></aug><source>Eur Respir J</source><pubdate>2008</pubdate><volume>31</volume><fpage>1061</fpage><lpage>1067</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1183/09031936.00083107</pubid><pubid idtype="pmpid" link="fulltext">18448502</pubid></pubidlist></xrefbib></bibl><bibl id="B29"><title><p>Prevention of community-acquired pneumonia in adults</p></title><aug><au><snm>Barros</snm><fnm>MM</fnm></au><au><snm>Cartagena</snm><fnm>SC</fnm></au><au><snm>Bavestrello</snm><fnm>FL</fnm></au></aug><source>Rev Chilena Infectol</source><pubdate>2005</pubdate><volume>22</volume><issue>Suppl 1</issue><fpage>s67</fpage><lpage>s74</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">16163421</pubid></xrefbib></bibl><bibl id="B30"><title><p>Prevention and control of influenza recommendations of the Advisory Committee on Immunization Practices (ACIP)</p></title><aug><au><snm>Harper</snm><fnm>SA</fnm></au><au><snm>Fukuda</snm><fnm>K</fnm></au><au><snm>Uyeki</snm><fnm>TM</fnm></au><au><snm>Cox</snm><fnm>NJ</fnm></au><au><snm>Bridges</snm><fnm>CB</fnm></au></aug><source>MMWR</source><pubdate>2004</pubdate><volume>53</volume><issue>RR06</issue><fpage>1</fpage><lpage>40</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">15841069</pubid></xrefbib></bibl><bibl id="B31"><title><p>Community-acquired pneumonia: aetiologic changes in a limited geographic area. An 11-year prospective study</p></title><aug><au><snm>Fern&#225;ndez Alvarez</snm><fnm>R</fnm></au><au><snm>Su&#225;rez Toste</snm><fnm>I</fnm></au><au><snm>Rubinos Cuadrado</snm><fnm>G</fnm></au><au><snm>Torres Lana</snm><fnm>A</fnm></au><au><snm>Gull&#243;n Blanco</snm><fnm>JA</fnm></au><au><snm>Jim&#233;nez</snm><fnm>A</fnm></au><au><snm>Gonz&#225;lez Mart&#237;n</snm><fnm>I</fnm></au></aug><source>Eur J Clin Microbiol Infect Dis</source><pubdate>2007</pubdate><volume>26</volume><fpage>495</fpage><lpage>499</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1007/s10096-007-0323-3</pubid><pubid idtype="pmpid" link="fulltext">17554569</pubid></pubidlist></xrefbib></bibl><bibl id="B32"><aug><au><snm>Lamberts</snm><fnm>H</fnm></au><au><snm>Wood</snm><fnm>M</fnm></au><au><snm>Hofmans-Okkes</snm><fnm>IM</fnm></au></aug><source>The International Classification of Primary Care in the European Community. With a multi-language layer</source><publisher>Oxford: Oxford University Press</publisher><pubdate>1993</pubdate></bibl><bibl id="B33"><source>Clasificaci&#243;n Internacional de Enfermedades. Novena revisi&#243;n. Modificaci&#243;n Cl&#237;nica (CIE-9-MC)</source><publisher>Madrid: Ministerio de Sanidad y Consumo</publisher><edition>7&#170; edici&#243;n en espa&#241;ol</edition><pubdate>2009</pubdate><xrefbib><pubid idtype="pmpid" link="fulltext">17941754</pubid></xrefbib></bibl><bibl id="B34"><aug><au><cnm>WHO and NCM</cnm></au></aug><source>Guidelines for ATC-Classification</source><publisher>Oslo and Uppsala: WHO Collaborating Centre for Drug Statistics Methodology (Oslo) and Nordic Council on Medicines (Uppsala)</publisher><pubdate>1990</pubdate></bibl><bibl id="B35"><title><p>A new method of classifying prognostic comorbidity in longitudinal studies: development and validation</p></title><aug><au><snm>Charlson</snm><fnm>ME</fnm></au><au><snm>Pompei</snm><fnm>P</fnm></au><au><snm>Ales</snm><fnm>KL</fnm></au><au><snm>MacKenzie</snm><fnm>CR</fnm></au></aug><source>J Chronic Dis</source><pubdate>1987</pubdate><volume>40</volume><fpage>373</fpage><lpage>383</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/0021-9681(87)90171-8</pubid><pubid idtype="pmpid">3558716</pubid></pubidlist></xrefbib></bibl><bibl id="B36"><title><p>Development and application of a population-oriented measure of ambulatory care case-mix</p></title><aug><au><snm>Weiner</snm><fnm>JP</fnm></au><au><snm>Starfield</snm><fnm>BH</fnm></au><au><snm>Steinwachs</snm><fnm>DM</fnm></au><au><snm>Mumford</snm><fnm>LM</fnm></au></aug><source>Med Care</source><pubdate>1991</pubdate><volume>29</volume><fpage>452</fpage><lpage>472</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1097/00005650-199105000-00006</pubid><pubid idtype="pmpid">1902278</pubid></pubidlist></xrefbib></bibl><bibl id="B37"><title><p>A population-based study of the costs of care for community-acquired pneumonia</p></title><aug><au><snm>Bartolom&#233;</snm><fnm>M</fnm></au><au><snm>Almirall</snm><fnm>J</fnm></au><au><snm>Morera</snm><fnm>J</fnm></au><au><snm>Pera</snm><fnm>G</fnm></au><au><snm>Ort&#250;n</snm><fnm>V</fnm></au><au><snm>Bassa</snm><fnm>J</fnm></au><au><snm>Bol&#237;bar</snm><fnm>I</fnm></au><au><snm>Balanz&#243;</snm><fnm>X</fnm></au><au><snm>Verdaguer</snm><fnm>A</fnm></au><au><cnm>Maresme Community-Acquired Pneumonia Study Group (GEMPAC)</cnm></au></aug><source>Eur Respir J</source><pubdate>2004</pubdate><volume>23</volume><fpage>610</fpage><lpage>616</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1183/09031936.04.00076704</pubid><pubid idtype="pmpid" link="fulltext">15083763</pubid></pubidlist></xrefbib></bibl><bibl id="B38"><title><p>Update of practice guidelines for the management of community-acquired pneumonia in immunocompetent adults</p></title><aug><au><snm>Mandell</snm><fnm>LA</fnm></au><au><snm>Bartlett</snm><fnm>JG</fnm></au><au><snm>Dowell</snm><fnm>SF</fnm></au><au><snm>File</snm><fnm>TM</fnm><suf>Jr</suf></au><au><snm>Musher</snm><fnm>DM</fnm></au><au><snm>Whitney</snm><fnm>C</fnm></au><au><cnm>Infectious Diseases Society of America</cnm></au></aug><source>Clin Infect Dis</source><pubdate>2003</pubdate><volume>37</volume><fpage>1405</fpage><lpage>1433</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1086/380488</pubid><pubid idtype="pmpid" link="fulltext">14614663</pubid></pubidlist></xrefbib></bibl><bibl id="B39"><title><p>Community-acquired pneumonia: the annual cost to the National Health Service in the UK</p></title><aug><au><snm>Guest</snm><fnm>JF</fnm></au><au><snm>Morris</snm><fnm>A</fnm></au></aug><source>Eur Respir J</source><pubdate>1997</pubdate><volume>10</volume><fpage>1530</fpage><lpage>1534</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1183/09031936.97.10071530</pubid><pubid idtype="pmpid" link="fulltext">9230242</pubid></pubidlist></xrefbib></bibl><bibl id="B40"><title><p>How should cost data in pragmatic randomised trials be analysed?</p></title><aug><au><snm>Thompson</snm><fnm>SG</fnm></au><au><snm>Barber</snm><fnm>JA</fnm></au></aug><source>BMJ</source><pubdate>2000</pubdate><volume>320</volume><fpage>1197</fpage><lpage>1200</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1136/bmj.320.7243.1197</pubid><pubid idtype="pmcid">1127588</pubid><pubid idtype="pmpid" link="fulltext">10784550</pubid></pubidlist></xrefbib></bibl><bibl id="B41"><title><p>Coste-efectividad de la vacuna antineumoc&#243;cica 23-valente en Catalu&#241;a</p></title><aug><au><snm>Plans</snm><fnm>P</fnm></au></aug><source>Gac Sanit</source><pubdate>2002</pubdate><volume>16</volume><fpage>392</fpage><lpage>400</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">12372184</pubid></xrefbib></bibl><bibl id="B42"><title><p>Drug-resistance in <it>Streptococcus pneumoniae</it> isolates among Spanish middle aged and older adults with community-acquired pneumonia</p></title><aug><au><snm>Vila-Corcoles</snm><fnm>A</fnm></au><au><snm>Bejarano-Romero</snm><fnm>F</fnm></au><au><snm>Salsench</snm><fnm>E</fnm></au><au><snm>Ochoa-Gondar</snm><fnm>O</fnm></au><au><snm>de Diego</snm><fnm>C</fnm></au><au><snm>Gomez-Bertomeu</snm><fnm>F</fnm></au><au><snm>Raga-Luria</snm><fnm>X</fnm></au><au><snm>Cliville-Guasch</snm><fnm>X</fnm></au><au><snm>Arija</snm><fnm>V</fnm></au></aug><source>BMC Infect Dis</source><pubdate>2009</pubdate><volume>9</volume><fpage>36</fpage><xrefbib><pubidlist><pubid idtype="doi">10.1186/1471-2334-9-36</pubid><pubid idtype="pmcid">2667188</pubid><pubid idtype="pmpid" link="fulltext">19320989</pubid></pubidlist></xrefbib></bibl><bibl id="B43"><title><p>Association of serotype with risk of death due to pneumococcal pneumonia: a meta-analysis</p></title><aug><au><snm>Weinberger</snm><fnm>DM</fnm></au><au><snm>Harboe</snm><fnm>ZB</fnm></au><au><snm>Sanders</snm><fnm>EA</fnm></au><au><snm>Ndiritu</snm><fnm>M</fnm></au><au><snm>Klugman</snm><fnm>KP</fnm></au><au><snm>R&#252;ckinger</snm><fnm>S</fnm></au><au><snm>Dagan</snm><fnm>R</fnm></au><au><snm>Adegbola</snm><fnm>R</fnm></au><au><snm>Cutts</snm><fnm>F</fnm></au><au><snm>Johnson</snm><fnm>HL</fnm></au><au><snm>O&#8217;Brien</snm><fnm>KL</fnm></au><au><snm>Scott</snm><fnm>JA</fnm></au><au><snm>Lipsitch</snm><fnm>M</fnm></au></aug><source>Clin Infect Dis</source><pubdate>2010</pubdate><volume>51</volume><fpage>692</fpage><lpage>699</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1086/655828</pubid><pubid idtype="pmcid">2927802</pubid><pubid idtype="pmpid" link="fulltext">20715907</pubid></pubidlist></xrefbib></bibl><bibl id="B44"><title><p>Hospitalized pneumonia. Outcomes, treatment patterns, and costs in urban and rural areas</p></title><aug><au><snm>Lave</snm><fnm>JR</fnm></au><au><snm>Fine</snm><fnm>MJ</fnm></au><au><snm>Sankey</snm><fnm>SS</fnm></au><au><snm>Hanusa</snm><fnm>BH</fnm></au><au><snm>Weissfeld</snm><fnm>LA</fnm></au><au><snm>Kapoor</snm><fnm>WN</fnm></au></aug><source>J Gen Intern Med</source><pubdate>1996</pubdate><volume>11</volume><fpage>415</fpage><lpage>421</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1007/BF02600189</pubid><pubid idtype="pmpid">8842934</pubid></pubidlist></xrefbib></bibl><bibl id="B45"><title><p>The cost of treating community-acquired pneumonia</p></title><aug><au><snm>Niederman</snm><fnm>MS</fnm></au><au><snm>McCombs</snm><fnm>JS</fnm></au><au><snm>Unger</snm><fnm>AN</fnm></au><au><snm>Kumar</snm><fnm>A</fnm></au><au><snm>Popovian</snm><fnm>R</fnm></au></aug><source>Clin Ther</source><pubdate>1998</pubdate><volume>20</volume><fpage>820</fpage><lpage>837</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/S0149-2918(98)80144-6</pubid><pubid idtype="pmpid" link="fulltext">9737840</pubid></pubidlist></xrefbib></bibl><bibl id="B46"><title><p>The impact of an early chest radiograph on outcome in patients hospitalised with community-acquired pneumonia</p></title><aug><au><snm>Bewick</snm><fnm>T</fnm></au><au><snm>Greenwood</snm><fnm>S</fnm></au><au><snm>Lim</snm><fnm>WS</fnm></au></aug><source>Clin Med</source><pubdate>2010</pubdate><volume>10</volume><fpage>563</fpage><lpage>567</lpage><xrefbib><pubid idtype="pmpid">21413478</pubid></xrefbib></bibl><bibl id="B47"><title><p>Adequacy of the admissions and care provided to the patients with community-acquired pneumonia [Article in Spanish]</p></title><aug><au><snm>Hinojosa Mena-Bernal</snm><fnm>J</fnm></au><au><snm>Hinojosa Mena-Bernal</snm><fnm>C</fnm></au><au><snm>Gonz&#225;lez Sarmiento</snm><fnm>E</fnm></au><au><snm>Almar&#225;z G&#243;mez</snm><fnm>A</fnm></au><au><snm>Mart&#237;n Santos</snm><fnm>S</fnm></au><au><snm>Zapatero Gaviria</snm><fnm>A</fnm></au></aug><source>Rev Clin Esp</source><pubdate>2011</pubdate><volume>211</volume><fpage>179</fpage><lpage>186</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.rce.2009.06.019</pubid><pubid idtype="pmpid">21420665</pubid></pubidlist></xrefbib></bibl><bibl id="B48"><title><p>Community-Acquired pneumonia in outpatients: etiology and outcomes</p></title><aug><au><snm>Cill&#243;niz</snm><fnm>C</fnm></au><au><snm>Ewig</snm><fnm>S</fnm></au><au><snm>Polverino</snm><fnm>E</fnm></au><au><snm>Marcos</snm><fnm>MA</fnm></au><au><snm>Prina</snm><fnm>E</fnm></au><au><snm>Sellares</snm><fnm>J</fnm></au><au><snm>Ferrer</snm><fnm>M</fnm></au><au><snm>Ortega</snm><fnm>M</fnm></au><au><snm>Gabarr&#250;s</snm><fnm>A</fnm></au><au><snm>Mensa</snm><fnm>J</fnm></au><au><snm>Torres</snm><fnm>A</fnm></au></aug><source>Eur Respir J</source><pubdate>2012</pubdate><volume>40</volume><fpage>931</fpage><lpage>938</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1183/09031936.00168811</pubid><pubid idtype="pmpid" link="fulltext">22267760</pubid></pubidlist></xrefbib></bibl><bibl id="B49"><title><p>What is the cost of inappropriate admission of pneumonia patients? [Article in Spanish]</p></title><aug><au><snm>Gonz&#225;lez-Moraleja</snm><fnm>J</fnm></au><au><snm>Sesma</snm><fnm>P</fnm></au><au><snm>Gonz&#225;lez</snm><fnm>C</fnm></au><au><snm>L&#243;pez</snm><fnm>ME</fnm></au><au><snm>Garc&#237;a</snm><fnm>JF</fnm></au><au><snm>Alvarez-Sala</snm><fnm>JL</fnm></au></aug><source>Arch Bronconeumol</source><pubdate>1999</pubdate><volume>35</volume><fpage>312</fpage><lpage>316</lpage><xrefbib><pubid idtype="pmpid">10439127</pubid></xrefbib></bibl><bibl id="B50"><title><p>Community-acquired pneumonia: influence of the duration of intravenous antibiotic therapy on hospital stay and the cost-benefit ratio [Article in Spanish]</p></title><aug><au><snm>Fern&#225;ndez Alvarez</snm><fnm>R</fnm></au><au><snm>Gull&#243;n Blanco</snm><fnm>JA</fnm></au><au><snm>Rubinos Cuadrado</snm><fnm>G</fnm></au><au><snm>Jim&#233;nez Sosa</snm><fnm>A</fnm></au><au><snm>Hern&#225;ndez Garc&#237;a</snm><fnm>C</fnm></au><au><snm>Medina Gonz&#225;lvez</snm><fnm>A</fnm></au><au><snm>Gonz&#225;lez Mart&#237;n</snm><fnm>I</fnm></au></aug><source>Arch Bronconeumol</source><pubdate>2001</pubdate><volume>37</volume><fpage>366</fpage><lpage>370</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">11674935</pubid></xrefbib></bibl><bibl id="B51"><title><p>Study of community-acquired pneumonia: Incidence, patterns of care and outcomes in primary and hospital care</p></title><aug><au><snm>Capelastegui</snm><fnm>A</fnm></au><au><snm>Espa&#241;a</snm><fnm>PP</fnm></au><au><snm>Bilbao</snm><fnm>A</fnm></au><au><snm>Gamazo</snm><fnm>J</fnm></au><au><snm>Medel</snm><fnm>F</fnm></au><au><snm>Salgado</snm><fnm>J</fnm></au><au><snm>Gorostiaga</snm><fnm>I</fnm></au><au><snm>Esteban</snm><fnm>C</fnm></au><au><snm>Altube</snm><fnm>L</fnm></au><au><snm>Gorordo</snm><fnm>I</fnm></au><au><snm>Quintana</snm><fnm>JM</fnm></au><au><cnm>Poblational Study of Pneumonia (PSoP) Group</cnm></au></aug><source>J Infect</source><pubdate>2010</pubdate><volume>61</volume><fpage>364</fpage><lpage>371</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/j.jinf.2010.07.015</pubid><pubid idtype="pmpid" link="fulltext">20692290</pubid></pubidlist></xrefbib></bibl><bibl id="B52"><title><p>Cost-of-illness of lung disease in the TriVeneto Region, Italy: the GOLD Study</p></title><aug><au><snm>Dal Negro</snm><fnm>R</fnm></au><au><snm>Berto</snm><fnm>P</fnm></au><au><snm>Tognella</snm><fnm>S</fnm></au><au><snm>Quareni</snm><fnm>L</fnm></au><au><cnm>Global Outcomes in Lung Disease Study Group</cnm></au></aug><source>Monaldi Arch Chest Dis</source><pubdate>2002</pubdate><volume>57</volume><fpage>3</fpage><lpage>9</lpage><xrefbib><pubid idtype="pmpid">12174698</pubid></xrefbib></bibl></refgrp>
	<sec><st><p>Pre-publication history</p></st><p>The pre-publication history for this paper can be accessed here:</p><p><url>http://www.biomedcentral.com/1471-2334/12/283/prepub</url></p></sec></bm>
</art>