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Open Access Highly Accessed Research article

Duration of fever and serious bacterial infections in children: a systematic review

Gijs Elshout1*, Miriam Monteny1, Johannes C van der Wouden1, Bart W Koes1 and Marjolein Y Berger2

Author Affiliations

1 Erasmus MC, Department of General Practice, PO Box 2040, 3000 CA Rotterdam, The Netherlands

2 University Medical Center Groningen, University of Groningen, Department of General Practice, PO Box 196, 9700 AD Groningen, The Netherlands

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BMC Family Practice 2011, 12:33  doi:10.1186/1471-2296-12-33

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2296/12/33


Received:4 January 2011
Accepted:16 May 2011
Published:16 May 2011

© 2011 Elshout et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Parents of febrile children frequently contact primary care. Longer duration of fever has been related to increased risk for serious bacterial infections (SBI). However, the evidence for this association remains controversial. We assessed the predictive value of duration of fever for SBI.

Methods

Studies from MEDLINE, Embase and Cochrane databases (from January 1991 to December 2009) were retrieved. We included studies describing children aged 2 months to 6 years in countries with high Haemophilus influenzae type b vaccination coverage. Duration of fever had to be studied as a predictor for serious bacterial infections.

Results

Seven studies assessed the association between duration of fever and serious bacterial infections; three of these found a relationship.

Conclusion

The predictive value of duration of fever for identifying serious bacterial infections in children remains inconclusive. None of these seven studies was performed in primary care. Studies evaluating the duration of fever and its predictive value in children in primary care are required.

Background

Fever is very common among young children and a frequent reason for parents to contact primary care [1]. Febrile children usually have self-limiting viral infections, and serious infections in need of medical intervention are rare. In primary care, clinical markers are the most appropriate evaluation tools in febrile children. In some studies, the duration of fever prior to presentation has been shown to be a predictor of serious bacterial infection (SBI) [2-6]. However, the evidence for this association remains a subject of discussion [7]. For example, in the practice guideline for the management of febrile children in primary care, the Dutch College of General Practitioners (NHG) recommends that children with more than three days of fever at presentation should be seen by a general practitioner (GP) [7]. In contrast, the NICE guideline for feverish illness in children in the UK states that duration of fever should not be used to predict the likelihood of serious illness, other than Kawasaki disease [8]. Both guidelines base these recommendations on studies performed in secondary and tertiary care, which may not be applicable for primary care settings.

Since the introduction of the Haemophilus influenzae type b (Hib) conjugate vaccine during the last two decades, the prevalence of Hib-induced infections has decreased [9]. This might have consequences for the association between duration of fever and SBI. Gaining more insight into the course of fever in the post-Hib era is essential for the evaluation and management of febrile children in primary and secondary care.

Therefore, we conducted a systematic review of studies on duration of fever in children aged two months to six years, in the post-Hib era. We aimed at answering the question: what is the association between duration of fever and an SBI in febrile children?

Methods

Identification and selection of the literature

A systematic search of the literature was made from January 1991 to December 2009 in the MEDLINE, Embase and Cochrane databases. Since Hib vaccination was not widely distributed before 1991 [10], the search was restricted to the years after 1990. Sensitive search strategies ('clinical queries') were used for prognostic studies [11], diagnostic studies [12] and randomized controlled trials (RCTs) [13]. The following keywords and MeSH-headings were used: 'fever', 'preschool child', 'infant', 'childhood', 'course*', 'duration', 'disease', 'infection', 'bacterial infection', 'bacterial infections', 'serious bacterial infection*', 'mortality', 'child hospitalization', and 'hospitalization' (see additional file 1, Table S1). Reference lists of selected publications were checked to identify additional relevant publications.

Additional file 1. Table S1: Search strategy for Medline.

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This file can be viewed with: Microsoft Word ViewerOpen Data

To identify eligible studies, titles and abstracts resulting from the search strategy were screened independently by two teams of reviewers (MM/GE and MYB/JCvdW). Studies had to meet the following criteria:

1) The design of the study was a prospective cohort study, cross-sectional study or RCT.

2) The majority of participants were children aged two months to six years (or an identifiable and separately analyzed subgroup of at least ten children aged two months to six years).

3) Enrolment occurred in a country with adequate Hib vaccination coverage, i.e. ≥ 80% according to WHO/UNICEF estimates [10], during at least 50% of the enrolment period.

4) The outcome measure was duration of fever (prior to enrolment) as prognostic factor for SBI.

5) In case of SBI, eligible diagnoses included bacteremia, sepsis, bacterial meningitis, bacterial pneumonia, infectious arthritis, osteomyelitis, cellulitis, soft tissue infection, pyelonephritis, urinary tract infection, bacterial gastroenteritis, tonsillitis, or otitis media.

Studies focusing on immunocompromized children or fever syndromes were excluded. Studies in countries outside Europe, North America, Australia or New Zealand were excluded, because the etiology, prevalence and presentation of febrile illnesses differ significantly in these countries.

Data extraction

Two teams of reviewers (MM/GE and MYB/JCvdW) independently extracted data from the selected studies using standardized forms. The extracted data concerned design, setting, study population, outcome measures and prognostic factors.

Quality assessment

Two teams of reviewers (MM/GE and MYB/JCvdW) assessed the methodological quality of the studies independently, by means of a modified version of the criteria list for prognostic studies as developed by Hayden et al. [14] Since cross-sectional studies were also included, we added an item concerning the independent assessment of duration of fever and SBI diagnosis. The list consisted of 22 items (Table 1) that were scored positive (+), negative (-), unclear (?) or not applicable (NA). Disagreement between the reviewers was discussed in a consensus meeting.

Table 1. Items included in the methodological quality assessment.

Inter-assessor agreement of the methodological quality assessment was calculated using kappa scores [15]. The total quality score for each study was calculated by counting all positively scored criteria (maximum 22) and dividing this number by the number of applicable items. High quality was defined as a score of 50% or higher.

Analysis

The studies included in this review were considered too heterogeneous (regarding setting, definition of fever and of SBI, and presentation of the results) to pool the data. Therefore, a best-evidence synthesis was used to summarize the value of prognostic factors. Four levels of evidence were defined, based on Sackett et al. [16] and Ariens et al. [17] (see additional file 2, Table S2). Only significant associations were considered in this synthesis, defined by a threshold of p ≤ 0.05 or odds ratios (OR) with a confidence interval (CI) not including 1.0.

Additional file 2. Table S2: Levels of evidence for the prognostic factors.

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Significance of differences between groups was assessed using chi-square analysis. When not reported but sufficient data were available, the association between prognostic factors and outcome was calculated as ORs with 95% CIs.

Results

The search strategy yielded 5458 citations, of which 96 could not be excluded based on title and abstract. Full-text versions of these 96 citations were retrieved. Figure 1 presents a flow chart of the process of identification and exclusion. Seven publications were included [18-24].

thumbnailFigure 1. Identification and inclusion of studies in the present review.

All seven studies were cross-sectional studies and were performed in an emergency room setting. Three studies concerned children aged 1 to 36 months [18,21,22], and two studies included children aged 3 to 36 months [20,24]. The two remaining studies concerned children aged 2 to 6 months [19], or 0 to 18 years [23]. The median or mean ages of the children in the studies were all within our two months to six years inclusion criterion.

Table 2 gives the results of the methodological quality assessment after consensus. The overall kappa before consensus was 0.73, indicating substantial agreement [15]. In all cases of initial disagreement, consensus was achieved between the two teams of reviewers. Six studies were of high quality according to our predefined criterion; the median score was 63 (range 45-74%), one study had a score of 45% [24]. The details of the included studies are given in additional file 3, Table S3. ORs were calculated using data from the studies by Pratt et al. [22].

Table 2. Results of quality assessment of the methodology of the included studies.

Additional file 3. Table S3: Details of the included studies on the predictive value of prior duration of fever and serious bacterial infection (SBI).

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This file can be viewed with: Microsoft Word ViewerOpen Data

Predictive value of duration of fever for SBI

Seven studies, including a total of 1644 children, provided information on the predictive value of duration of fever at presentation for identifying SBI [18-24]. All seven studies were cross-sectional, five of which were performed in the USA [19-23], one in France [24], and one in Spain [18]. Fever was defined as a minimal temperature of 38°C [18-20] or 39°C [21,22,24]. One study investigated hyperpyrexia defined as ≥41.1°C [23]. Temperature was measured rectally [19,23], axillary [18], or at an unspecified location [20-22,24]. The definition of the outcome of SBI varied between occult bacterial infections only, and localized or invasive bacterial infections including occult bacteremia. Between and within the various studies, the diagnostic tests for SBIs (e.g. lumbar puncture) were performed in all patients or only in selected patients.

One study showed a significant univariate association of duration of fever at presentation with occult bacterial infection [19] and another study showed a significant association in a multivariate model [20]. One study of low quality provided an overall median prior duration of fever of 24 (range 0.25-192) hours versus 4.6 (± 3.13) hours in children with occult bacteremia [24]. However, no p-value or CI was provided. The remaining four studies showed no significant association, either in the univariate [18,22,23] or the multivariate analysis [21]. Therefore, according to our classification (Table 2), the level of evidence for the association between the duration of fever at presentation and a SBI is inconclusive.

Discussion

Summary of main findings

The predictive value of duration of fever at presentation for SBI remains contradictory and hence inconclusive.

Strengths and limitations of this study

The number of studies in this review is relatively small, with only a few studies available for our objective. Although we initially retrieved a high number of publications using a sensitive search strategy, many studies did not fulfill our inclusion criteria. This reflects the lack of information on the duration of fever in children in the post-Hib era, making it difficult to draw firm conclusions on the duration of fever and its predictive value for SBI.

Trautner et al. showed that duration of fever is not predictive for SBI [23]. However, their study included children with hyperpyrexia only, defined as a rectal temperature of ≥41.1°C, measured at the emergency room. Thereby, their study population is not representative for patients seen in general practice. By focusing on a subgroup with hyperpyrexia, other factors may better predict SBI in this latter study population than duration of fever.

None of the studies controlled for use of antipyretics or antibiotics, which may have confounded the results of these studies.

All studies were performed in secondary and tertiary care settings. Due to selected and different study populations, the results found may not be relevant for a primary care setting. For example, in the study of Trautner et al., seven of the twenty patients with a SBI had a pre-existing condition.

Comparison with existing literature

A recent review described the diagnostic value of clinical features to identify serious infections in children [25]; however, they included fewer and different studies addressing duration of fever or illness. We excluded four out of five studies, because they did not meet our inclusion criteria for age [26], Hib coverage [2], study design [3], and fever [27]; this makes the results of the reviews less comparable. Van den Bruel et al. [25] concluded that duration of fever or illness is not a strong predictor for serious infections, which is in line with our conclusion.

Implications for future research or clinical practice

An explanation for the inconclusive findings for a predictive value of duration of fever might be the heterogeneity of the definition of SBI. One study reported a trend of shorter duration of fever and the possibility of bacteremia compared to the overall group [24]. Other studies, that did not meet the inclusion criterion for Hib vaccination coverage, found similar results [28,29]. It is plausible that the predictive value of the duration of fever depends on the specific SBI under study. A comparable explanation was put forward in the NICE guideline [8]. For example, bacteremia, meningitis and sepsis are SBIs that can develop relatively quickly, whereas bacterial pneumonia or urinary tract infection may develop over a longer period of time. All the other studies in our review, looking at duration of fever as predictor for SBI, included bacteremia, but they may have diluted the prognostic value of duration of fever by analyzing bacteremia combined with other SBIs. However, in general practice a broad spectrum of both slow and quick-developing SBIs will be presented. Therefore, relations other than a linear association between duration of fever and SBI may be more appropriate. Multivariate analyses considering the interaction between duration of fever and other variables (e.g. level of illness, age), and stratification for different kinds of SBIs, may yield more data about the relationship between duration of fever and risk of SBI. Observational studies are needed to test this hypothesis and thereby elucidate the duration of fever and its significance in the management of febrile children in primary care. Until then, it seems appropriate not to use duration of fever to assess the risk of SBI in febrile children in primary care.

Conclusion

The predictive value of duration of fever at presentation for SBI remains contradictory and hence inconclusive. None of these seven studies was performed in primary care. Studies evaluating the duration of fever and its predictive value in children in primary care are required.

List of abbreviations

SBI: serious bacterial infection; OBI: occult bacterial infection; GP: general practitioner; Hib: Haemophilus influenzae type b;

Conflict of interest statement

The authors declare that they have no competing interests.

Authors' contributions

GE conducted the online searches, and participated in the study selection, data extraction, quality assessment, and analyses. MM was responsible for the conduction of the online searches and study protocol. She participated in the online searches, study selection, data extraction, quality assessment, and analyses.

JCvdW supervised the design and execution of the study, and participated in the study selection, and data extraction. BWK supervised the design and execution of the study.

MYB had primary responsibility for the online searches and study protocol. She participated in the online searches, study selection, data extraction, quality assessment, and analyses. All authors contributed to the writing of the manuscript. All authors read and approved the final manuscript.

Ethical approval

Ethical approval was not required.

Funding body

Department of General Practice, Erasmus MC, Rotterdam.

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Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2296/12/33/prepub