Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Shiga toxin-producing escherichia coli infections in Norway, 1992–2012: characterization of isolates and identification of risk factors for haemolytic uremic syndrome

BMC Infectious Diseases volume 15, Article number: 324 (2015) Cite this article

Abstract

Background

Shiga toxin-producing E. coli (STEC) infection is associated with haemolytic uremic syndrome (HUS). Therefore Norway has implemented strict guidelines for prevention and control of STEC infection. However, only a subgroup of STEC leads to HUS. Thus, identification of determinants differentiating high risk STEC (HUS STEC) from low risk STEC (non-HUS STEC) is needed to enable implementation of graded infectious disease response.

Methods

A national study of 333 STEC infections in Norway, including one STEC from each patient or outbreak over two decades (1992–2012), was conducted. Serotype, virulence profile, and genotype of each STEC were determined by phenotypic or PCR based methods. The association between microbiological properties and demographic and clinical data was assessed by univariable analyses and multiple logistic regression models.

Results

From 1992 through 2012, an increased number of STEC cases including more domestically acquired infections were notified in Norway. O157 was the most frequent serogroup (33.6 %), although a decrease of this serogroup was seen over the last decade. All 25 HUS patients yielded STEC with stx2, eae, and ehxA. In a multiple logistic regression model, age ≤5 years (OR = 16.7) and stx2a (OR = 30.1) were independently related to increased risk of HUS. eae and hospitalization could not be modelled since all HUS patients showed these traits. The combination of low age (≤5 years) and the presence of stx2a, and eae gave a positive predictive value (PPV) for HUS of 67.5 % and a negative predictive value (NPV) of 99.0 %. SF O157:[H7] and O145:H?, although associated with HUS in the univariable analyses, were not independent risk factors. stx1 (OR = 0.1) was the sole factor independently associated with a reduced risk of HUS (NPV: 79.7 %); stx2c was not so.

Conclusions

Our results indicate that virulence gene profile and patients’ age are the major determinants of HUS development.

Peer Review reports

Background

Shiga toxin-producing Escherichia coli (STEC), also called verocytotoxin-producing E. coli (VTEC), can lead to mild, self-limiting diarrhoea, haemorrhagic colitis or the life threatening complication haemolytic uremic syndrome (HUS). Children less than five years of age, the elderly, and immunocompromised persons, are most susceptible to STEC infection as well as to severe complications [1]. An association between the Shiga Toxin-encoding gene stx2, particularly the subtypes stx2a, stx2c, and stx2d, and development of HUS has been described [2–10]. Several other virulence factors that contribute to the pathogenicity of STEC have been identified, such as eae (E. coli attaching and effacing) encoding intimin and the plasmid-borne ehxA encoding enterohaemolysin [11]. In several parts of the world O157 is the predominating STEC serogroup, and this variant has most frequently been associated with HUS and outbreaks [12–16]. In other countries, however, like continental Europe and Scandinavia, non-O157 serogroups are dominating [3, 17–20]. The involvement of STEC in serious outbreaks combined with a high disease burden per case [21] makes STEC a significant challenge to public health.

In 1995, STEC infection was made mandatory notifiable to the Norwegian Surveillance System for Communicable Diseases (MSIS) (http://www.msis.no), and in 2006 diarrhoea-associated HUS became notifiable. Norway has implemented strict guidelines for prevention and control of STEC infection, in which 3–5 negative stool cultures are required for high-risk groups [22].

A few previous studies have investigated risk factors for development of HUS, however these studies have mainly focused on clinical and demographic parameters among patients infected with either serogroup O157 or O104 [23–25]. Although it is well documented that the presence of stx2 and eae as well as being a child are risk determinants of HUS development, few studies have performed multivariable analyses of both O157 and non-O157 STEC to identify factors independently associated with HUS. Furthermore, knowledge of factors independently associated with reduced risk of HUS is sparse.

The main aim of the present study was to identify microbiologic and patient-related criteria differentiating HUS STEC from non-HUS STEC, in order to obtain information enabling revision of the strict control and prevention measures presently employed in Norway. The second aim was to describe human STEC infections in Norway during two decades (1992–2012), to compare with studies from other countries and contribute to our understanding of this infection in general.

Methods

Surveillance of STEC infections in Norway

Epidemiological and clinical information about STEC infection in Norway from 1992 through 2012 was obtained from MSIS at the National Institute of Public Health (NIPH), which has received mandatory notifications from medical microbiological laboratories and physicians in the country since 1995 (http://www.msis.no/). During this period, 513 STEC infections were notified (Fig. 1) (annual mean, 0.54 cases per 100.000 populations). Cases were recorded as domestic if the patients did not report foreign travel in the incubation period, and as imported if the patients became ill while being abroad or shortly after their return home.

Fig 1
figure 1

STEC in Norway 1992 to 2012. All STEC infections notified to MSIS during this time period were shown (grey columns, n = 513). Only one STEC isolate per outbreak and per patient was included in the present study (black columns, n = 334 STEC isolates from 333 patients). Before 2006 the main focus of the clinical microbiological laboratories throughout Norway was detection of STEC O157. However, from 2007 the majority of these laboratories implemented techniques for detection of stx/Stx and the number of non-O157 cases increased. In 2006, 2009, and 2012, larger STEC outbreaks (>5 cases) were reported (Additional file 1)

Full size image

Characterization of STEC isolates

All isolates were obtained from the National STEC Culture Collection at the Reference Laboratory for Enteropathogenic Bacteria at the NIPH, which receives all presumptive STEC isolates from medical microbiological laboratories throughout Norway.

We selected one isolate per patient and per outbreak, except for one patient from whom two isolates were included since they showed different virulence gene profiles and genotypes. Likewise, only one isolate was selected if isolates with identical genotype were received within the same time period from two patients with different surnames, but living within the same municipality or county, had attended the same child-care facility, or had identical travel history. Nine isolates were from asymptomatic carriers. In total, 334 STEC isolates from 333 patients (64.8 %, 333/513) were included in the study (Fig. 1).

Eighty-three out of the 334 STEC isolates, all from patients living in one of the 19 counties in Norway, have been described previously [26].

Serotyping

Presumptive STEC isolates submitted to the Reference Laboratory at NIPH were serotyped by slide agglutination using antisera against 43 different O groups (Institut für Immunpräparate und Nährmedien GmbH Berlin (SIFIN), Germany, and Statens Serum Institute (SSI), Denmark) and eight H groups (SSI, Denmark). Non-agglutinating isolates were re-tested by molecular serotyping, in which PCR was run to amplify the wzx or wzy genes of 14 O groups (O26, O86, O91, O103, O104, O111, O113, O114, O117, O121, O128, O145, O146, and O157) and the fliC gene of 10 H groups (H2, H4, H7, H8, H10, H11, H19, H21, H25, and H28) (Lindstedt et al., unpublished).

Sorbitol-fermenting (SF) E. coli O157

All STEC isolates belonging to serogroup O157 were analysed with a multiplex PCR (M-PCR) specific for SF E. coli O157 [27] in order to distinguish SF O157 STEC from the classical non-sorbitol fermenting (NSF) O157 STEC.

Virulence genes characterization

From 1992 to 2001, production of Stx1 and Stx2 was ascertained using the GM1 ganglioside enzyme-linked immunosorbent assay (GM1-ELISA) with some minor modifications [28]. In 2001 the ELISA was replaced by a M-PCR detecting stx1 and stx2 [29]. The same year a PCR detecting eae was also included [30, 31]. Since July 2005 an octaplex-PCR [32], later expanded to an endecaplex-PCR, was used for routine screening of all enteropathogenic E. coli. This encompassed primers for stx1, stx2, eae, ehxA, bfpB and rrs [33], as well as primers for ipaH [34], LTI (F-primer; GTT TTA TTT ACG GCG TTA CTA TCC and R-primer; ATT GGG GGT TTT ATT ATT CC), STIa [35], STIb [35], and aggR [34]. All STEC isolates confirmed before July 2005 were re-tested for eae and ehxA using the PCR primers described by Brandal et al. [33].

stx subtyping

Subtypes of stx1 were identified by PCR as described by Scheutz et al. [8]. Subtyping of stx2 was performed with one of the two following methods. The first method used PCR restriction fragment length polymorphism (RFLP) followed by electrophoresis (modification of Russmann et al. [36] and Jelacic et al. [37]), and sequencing [7], in which all stx2d positive isolates were verified by a stx2d specific PCR [38]. The second method determined stx2 subtypes by PCR as described by Scheutz et al. [8].

Genotyping

The O157 isolates were genotyped by an O157 specific multi-locus variable-number tandem repeat analysis (MLVA) [39]. All non-O157 STEC isolates were genotyped using a seven loci generic MLVA [40] or an updated 10 loci generic MLVA [41].

Statistical methods

Statistical analyses were performed using the computer program SPSS® release 20.0.0 (IBM SPSS Software, International Business Machines Corp., Armonk New York). Univariable analyses were performed with the procedures for cross tables (dichotomous variables) or comparison of means (continuous variables) as appropriate. Binary logistic regression was implemented for multivariable analyses. The results are reported as odds ratios with 95 % confidence intervals and two-tailed p values. A p value of ≤ 0.05 was considered statistically significant. Positive and negative predictive values were calculated as described by Altman & Bland [42].

Ethical considerations

At the NIPH, all STEC strains are routinely collected for disease surveillance and outbreak detection. The current study is based on descriptive analysis of bacterial isolates from the strain collection and the microbiological characteristics so obtained could only be combined with the sex, age, clinical outcome, hospitalization, travel history, and seasonality for the patients from which the strains were isolated. Ethical approval was therefore not required. Also, the Norwegian Communicable Disease Control Act and its companying regulations (https://lovdata.no/dokument/NL/lov/1994-08-05-55?q=Smittevernloven) obliges the NIPH to perform national surveillance of communicable diseases, including STEC infection. For these reasons, consent was not obtained from the patients to analyze the bacterial samples for this research project.

Results

STEC infections in Norway

From 1992 to 2006, 0–20 STEC cases were notified each year, whereas from 2006 the number of notified cases increased, ranging from 22 to 111 annually (mean 54.9) (Fig. 1). Of the 513 patients recorded by surveillance, 57 developed HUS (11.1 %), and isolates from 36 of them were submitted to the National Reference Laboratory at NIPH. The major outbreaks reported in Norway during 1992 through 2012 are presented in Additional file 1.

Demographics and clinical presentation

The mean age of the 333 patients selected for the study was 24.6 years and 39.0 % (130/333) were ≤ 5 years old. Diarrhoea was the most frequent clinical manifestation, and 35.7 % (119/333) reported bloody diarrhoea (Table 1). Twenty-five of the patients (7.5 %) developed HUS (Additional file 2). Furthermore, 49.8 % had reportedly acquired their infection in Norway (Table 1), but a higher proportion of domestically acquired STEC infections was observed from 2006 compared to previous years (127/190, 66.8 % (from 2006) versus 39/83, 46.7 % (before 2006), p < 0.005).

Table 1 Association between patient-related factors in O157 versus non-O157 and HUS versus non-HUS STEC infections, Norway 1992–2012
Full size table

Characterization of selected STEC

Serogroups

Twenty-four different O groups were identified among 292 of the 334 STEC isolates examined from 333 patients. The remaining 42 isolates were non-typable with the methods employed (one of these was rough). The majority of the isolates (69.5 %, 232/334) were motile, and nine H groups were discerned. Thus, a total of 58 different O and H combinations were identified.

O157 was the most frequent serogroup detected (112/333, 33.6 %) (Table 1). The percentage of serogroup O157 significantly decreased from 49.6 % (65/131) during 1992–2006, to 23.3 % (47/202) in 2007–2012 (p < 0.005). Compared to non-O157, O157 infection was significantly associated with older age, foreign travel prior to disease onset, and a higher rate of hospitalization. No statistical significant differences between O157 and non-O157 infected persons were detected regarding clinical outcome (Table 1).

Serogroup O157 included 103 isolates that were NSF and nine that were SF. NSF O157 infections were more likely to occur during summer and spring, whereas infections with SF O157 were associated with colder months of the year. None of the patients with SF O157 infection reported foreign travel prior to onset of disease (Additional file 3). In a multivariable model, both foreign travel and seasonality (summer) were independently related to NSF O157 infection (OR = 4.4, CI = 2.5-7.5 and OR = 1.9, CI = 1.1-3.3, respectively).

Non-O157 STEC infection was detected in 66.4 % of the patients (221/333) (Table 1). The most common serogroups were O103 (15.0 %), O26 (10.2 %), O145 (7.2 %), O91 (3.9 %), O117 (3.3 %), O121 (2.1 %), O113 (1.8 %), O146 (1.8 %), and O111 (1.2 %). Infection with STEC O103, O26, or O121 was associated with younger age. Additionally, patients infected with O103 or O145 were less likely to report foreign travel prior to infection (Additional file 3).

Virulence genes

Of the 334 STEC from 333 patients, 127 (38.1 %) carried stx1 only, 118 (35.3 %) harboured stx2 only, and 89 (26.6 %) exhibited both stx1 and stx2. Thus, isolates from 215 patients (64.6 %) were positive for stx1 and 207 (62.2 %) carried stx2 (Table 2). None of the stx1 positive isolates harboured more than one stx1 subtype. stx1a was the most frequently detected subtype. Of the patients with stx2 positive STEC, 100 (48.3 %) contained stx2c and 85 (41.1 %) carried stx2a . Nearly three-fourths of the patients had an eae positive STEC and the majority of the cases harboured STEC with ehxA (Table 2).

Table 2 Association between virulence genes, serogroups, HUS, and hospitalization among 333 cases of STEC infection, Norway 1992–2012
Full size table

Patients with O157 and non-O157 STEC did not differ with regard to presence of stx1 (Table 2). However, when stx1 was stratified according to subtypes, stx1c was more frequently detected among patients with non-O157 STEC, and neither stx1c nor stx1d was found in any of the patients with O157 isolates (Table 2, Additional file 4).

Nearly all patients with O157 isolates carried stx2, while less than half of their non-O157 counterparts had this gene. Among the stx2 subtypes, stx2c and stx2a + stx2c were both more common in O157 (p < 0.005 for each), whereas stx2b and stx2g were only detected in the non-O157 group (Table 2, Additional file 4).

Both eae and ehxA were more frequently detected in O157 compared to non-O157 (Table 2).

Within O157, NSF O157 were associated with stx2, eae and ehxA, whereas SF O157 were less likely to harbour stx1 (Additional file 3).

Among non-O157 isolates, O103 was more likely to carry stx1 than the other serogroups combined, while in O145 or O121 stx1 was infrequent. All O91, O113, and O146 isolates were eae negative, and only two of the O117 isolates carried this gene (Additional file 3).

Patients with stx1 positive STEC showed a reduced risk of hospitalization, whereas the contrary was seen for patients with stx2, eae, and ehxA (Table 2).

Discrimination between HUS and non-HUS STEC

All 25 HUS patients, except three, were ≤ 5 years. Compared to non-HUS cases, patients with HUS were more often hospitalized and showed bloody stools (Table 1).

Seven serogroups were found among STEC from HUS patients: O157 (including both NSF O157 and SF O157 isolates), O145, O26, O103, O121, O111, and O86 (Additional file 2), however only serogroups SF O157 and O145 were significantly associated with HUS (Table 3 and Additional file 3). Within serogroup O145, four of the six patients with STEC O145:H? presented with HUS (p < 0.005, PPV:66.7 %, NPV:93.6 %), whereas only one of eighteen patients with O145:H28 showed this complication. No significant association between HUS and serogroup O103 was seen, but all three patients with STEC O103:H25 developed HUS.

Table 3 Risk factors for HUS among 333 STEC patients, Norway, 1992–2012
Full size table

All HUS patients carried STEC with stx2, eae, and ehxA, however only stx2 and eae were significantly associated with HUS, while ehxA was not (Table 2 and 3). stx2a was present in 24/25 HUS STEC (including one with stx2a + stx2c), whereas the last case carried stx2c only. Both stx1 and stx2c were negatively associated with HUS (Table 2 and 3). The combination of age ≤ 5 years and STEC possessing stx2a and eae showed strong association to HUS development with PPV of 64.7 % and NPV of 99.0 %. Additionally, this combination gave the highest sensitivity (88.0 %) and specificity (96.1 %) of all determinants investigated (data not shown).

Three multivariable models were fitted, with and without including potentially protective factors. In the first model, two factors were found to be independently related to increased risk of developing HUS: stx2a (OR = 92.7, CI = 10.7-803.5) and age ≤ 5 years (OR = 12.2, CI = 3.2-46.7). In this model, the following factors were not independently associated with HUS: SF O157 and O145:H?, although they were significant in the univariable analysis (Table 3). No first-order interactions were detected in the model. All HUS patients with bloody diarrhoea carried STEC with stx2a, and bloody diarrhoea was therefore not included in the model containing stx2a. Furthermore, eae, stx2, and hospitalization could not be modelled since all HUS patients showed this trait (for one HUS patient no information on hospitalization was available).

In a separate model assessing protective factors only, both stx1 (OR = 0.02, CI = 0.002-0.1) and stx2c (OR = 0.2, CI = 0.03-0.7) were independently associated with reduced risk of HUS (Table 3). Non-bloody diarrhoea was not included in the model as only one HUS patient showed this symptom. In the third model comprising stx2a, age, stx1 and stx2c, stx1 was still related to reduced risk of HUS development (OR = 0.1, CI = 0.01-0.8), whereas stx2c was not (OR = 0.6, CI = 0.1-3.3) (Table 3).

Discussion

Low age (≤5 years), and the presence of STEC with stx2a and eae were identified as risk factors for HUS development. An association between HUS and these parameters has been seen in several studies [2–10, 16–18, 43], however, only a few have explored this by multivariable analysis [2, 7, 44]. The high NPV (99.0 %) obtained for this combination of determinants indicates that the likelihood of developing HUS is very low when all these factors are negative. However, not all patients with these three risk factors developed HUS (PPV of 64.7 %), emphasizing that other strain characteristics or host specific factors, like the patient’s immunocompetence, also are important to consider when assessing a patients’ risk for developing HUS. Bloody diarrhoea has previously been identified as a risk factor for HUS [2], and a similar association was achieved in our study, although not proven as an independent risk factor. Interestingly, when only including protective factors in a multivariable model, stx2c was independently associated with reduced risk of HUS, but not when both protective and risk factors were included in the same model. The role of stx2c in HUS pathogenesis has been debated and it has been speculated that stx2c merely assists stx2a during development of this severe complication [7]. However, our results indicated that stx2c neither was sufficient nor necessary for HUS development. In one of the two HUS patients with stx2c positive STEC, stx2c and stx2a were both present, whereas in the second case stx2c was the sole stx gene detected. It is possible, though, that this isolate had lost the stx2a encoding bacteriophage, a phenomenon previously described in isolates from HUS patients [45, 46]. stx1 was independently related to reduced risk of HUS in two multivariable models. This has to our knowledge never been shown before, although such an association has been suggested [3, 16, 26, 47–50]. None of the HUS patients carried STEC with stx1 as the sole stx gene present. The single HUS patient with stx1 yielded two O111:[H8] isolates, one with stx1a + stx2a and the other with stx1a only, indicating that stx2a was the stx gene responsible for HUS development. Recently, it was demonstrated that STEC O111:H8 strains frequently lose their stx2 encoding bacteriophage during in vitro growth, suggesting that this loss may occur in vivo as well [3, 51]. Moreover, stx1 showed a low PPV for HUS, a finding which further emphasises that stx1 was not a key factor for HUS development.

In contrast to some authors [3, 15, 16, 52], but in concordance with others [2, 7], we did not find any significant difference between STEC O157 and non-O157 regarding HUS. Interestingly, of the O157 STEC isolated from HUS patients, SF O157 was the dominating variant, despite the fact that NSF O157 was the most frequent STEC detected in Norway. A high frequency of SF O157 in HUS cases has also been reported from other European countries [9, 53] and it has been suggested that patients with STEC SF O157 more often develop HUS compared to patients with NSF O157 [54, 55]. Furthermore, SF O157 and O145 (particularly O145:H?) were the only serogroups associated with HUS in our univariable analyses, although they were not significant in the multivariable models. All STEC O145:H? and SF O157 cases were domestically acquired, indicating a reservoir of these bacteria in Norway. Both serogroups have previously been responsible for HUS outbreaks in our country [56].

Our results confirm that the severity of STEC illness depends strongly on the virulence gene profile of the infecting STEC as well as the patients’ age, unlike serogroup affiliation [2, 57, 58]. Nevertheless, exceptions exist and therefore clinical findings and the epidemiological situation of each STEC case have to be considered before proper control and prevention measures can be implemented.

In Norway infections with non-O157 STEC were more common than infections with O157 isolates, in accordance with findings from several other countries [3, 17–19, 59–61]. Expectedly, the proportion of STEC O157 declined compared to non-O157 from approximately 2007, when improved methods for detecting stx/Stx were implemented in the majority of clinical microbiological laboratories in Norway [3, 16, 50, 61, 62]. In contrast to reports from other countries, more than half of the STEC O157 infections in Norway were imported and no seasonal differences between O157 and non-O157 infections were seen [16, 63, 64]. Since ruminants are the main reservoir of STEC O157 [65], the low prevalence of STEC O157 among ruminants in Norway might explain these findings [66–69]. Non-O157 infections were more frequently seen in children (≤5 years) and were more often domestically acquired than O157 infections. Contact with ruminants has previously been identified as the strongest risk factor for non-O157 infection in young children [70] and the following data indicate that this might be the case also in Norway: A national survey of Norwegian sheep flocks [69] showed that as many as 17.3 % (85/491) of the flocks carried non-O157 E. coli considered to be human pathogens (unpublished data). Also, non-O157 STEC outbreaks associated with sheep contact or eating mutton have been reported in Norway [71, 72].

There are some limitations to our study. Firstly, we did not examine a consecutive series of STEC isolates from the National STEC Culture Collection, but selected one STEC per patient and per outbreak. Therefore a correct incidence of STEC isolates was not achieved. However, the main aim of our study was to define factors discriminating HUS-STEC from non-HUS STEC. Inclusion of all STEC isolates would have given a biased contribution of the different parameters due to overrepresentation of isolates involved in outbreaks. Secondly, it is likely that non-O157 STEC were underestimated before 2007 since the sensitivity of diagnostic methods were suboptimal at that time. Although the laboratory methods have improved, non-O157 STEC isolation is still a diagnostic challenge due to lack of a selective growth media with sufficient sensitivity. Thirdly, the number of HUS cases included in the study was too low to identify other than the strongest risk factors. Finally, the available clinical information did not permit detailed analysis of patient-related factors such as underlying illnesses, antibiotic treatment, and co-infections, all of which have been considered as putative risk factors for HUS.

Conclusions

Our results showed that the characteristics of the Norwegian STEC isolates were in concordance with data from other countries. However, some country specific characteristics were unravelled. Multivariable regression analyses identified low age (≤5 years) and the presence of stx2a as independent risk factors for HUS development. Additionally, all HUS STEC carried eae. On the other hand, stx1 was independently associated with reduced risk of HUS. Hence, the virulence profile and the patients’ age - but not particular serogroups - were the essential determinants discriminating HUS STEC from non-HUS STEC. The results achieved from the current study will contribute, together with previous published knowledge, to revision of the strict national guidelines for prevention and control of STEC infections currently applied in Norway. Nevertheless, it should be emphasized that in addition to the risk factors identified, the clinical presentation of each patient and the epidemiological context also should be taken into account before advice of control and prevention can be given.

Abbreviations

CI:

Confidence interval

eae :

E. coli attaching and effacing

ehxA :

Enterohaemolysin

HUS:

Haemolytic uremic syndrome

NIPH:

Norwegian Institute of Public Health

NPV:

Negative predictive value

NSF:

Non-sorbitol fermenting

MLVA:

Multiple-locus variable-number of tandem repeat analysis

MSIS:

The National Surveillance System for Communicable Diseases

OR:

Odds ratio

PPV:

Positive predictive value

SF:

Sorbitol-fermenting

STEC:

Shiga toxin-producing E. coli

Stx :

Shiga toxin

VTEC:

Verocytotoxigenic E. coli

References

  1. Webster K, Schnitzler E. Hemolytic uremic syndrome. Handb Clin Neurol. 2014;120:1113–23.

    Article  PubMed  Google Scholar 

  2. Ethelberg S, Olsen KE, Scheutz F, Jensen C, Schiellerup P, Enberg J, et al. Virulence factors for hemolytic uremic syndrome, Denmark. Emerg Infect Dis. 2004;10:842–7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Buvens G, De Gheldre Y, Dediste A, de Moreau AI, Mascart G, Simon A, et al. Incidence and virulence determinants of verocytotoxin-producing Escherichia coli infections in the Brussels-Capital Region, Belgium, in 2008–2010. J Clin Microbiol. 2012;50:1336–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Mellmann A, Bielaszewska M, Kock R, Friedrich AW, Fruth A, Middendorf B, et al. Analysis of collection of hemolytic uremic syndrome-associated enterohemorrhagic Escherichia coli. Emerg Infect Dis. 2008;14:1287–90.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Friedrich AW, Bielaszewska M, Zhang WL, Pulz M, Kuczius T, Ammon A, et al. Escherichia coli harboring Shiga toxin 2 gene variants: frequency and association with clinical symptoms. J Infect Dis. 2002;185:74–84.

    Article  CAS  PubMed  Google Scholar 

  6. Bielaszewska M, Friedrich AW, Aldick T, Schurk-Bulgrin R, Karch H. Shiga toxin activatable by intestinal mucus in Escherichia coli isolated from humans: predictor for a severe clinical outcome. Clin Infect Dis. 2006;43:1160–7.

    Article  CAS  PubMed  Google Scholar 

  7. Persson S, Olsen KE, Ethelberg S, Scheutz F. Subtyping method for Escherichia coli shiga toxin (verocytotoxin) 2 variants and correlations to clinical manifestations. J Clin Microbiol. 2007;45:2020–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Scheutz F, Teel LD, Beutin L, Pierard D, Buvens G, Karch H, et al. Multicenter evaluation of a sequence-based protocol for subtyping Shiga toxins and standardizing Stx nomenclature. J Clin Microbiol. 2012;50:2951–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Marejkova M, Blahova K, Janda J, Fruth A, Petras P. Enterohemorrhagic Escherichia coli as causes of hemolytic uremic syndrome in the Czech Republic. PLoS One. 2013;8:e73927.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. European Center for Disease Prevention and Control: Surveillance of food- and waterborne diseases in the EU/EEA - 2006–2009. ECDC 2013, [http://www.ecdc.europa.eu/en/publications/_layouts/forms/Publication_DispForm.aspx?List = 4f55ad51-4aed-4d32-b960-af70113dbb90&ID = 900]

  11. Melton-Celsa A, Mohawk K, Teel L, O'Brien A. Pathogenesis of Shiga-toxin producing escherichia coli. Curr Top Microbiol Immunol. 2012;357:67–103.

    CAS  PubMed  Google Scholar 

  12. Vally H, Hall G, Dyda A, Raupach J, Knope K, Combs B, et al. Epidemiology of Shiga toxin producing Escherichia coli in Australia, 2000–2010. BMC Public Health. 2012;12:63.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Rivero MA, Passucci JA, Rodriguez EM, Parma AE. Seasonal variation of HUS occurrence and VTEC infection in children with acute diarrhoea from Argentina. Eur J Clin Microbiol Infect Dis. 2012;31:1131–5.

    Article  CAS  PubMed  Google Scholar 

  14. Scallan E, Hoekstra RM, Angulo FJ, Tauxe RV, Widdowson MA, Roy SL, et al. Foodborne illness acquired in the United States--major pathogens. Emerg Infect Dis. 2011;17:7–15.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Locking ME, Pollock KG, Allison LJ, Rae L, Hanson MF, Cowden JM. Escherichia coli O157 infection and secondary spread, Scotland, 1999–2008. Emerg Infect Dis. 2011;17:524–7.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Gould LH, Mody RK, Ong KL, Clogher P, Cronquist AB, Garman KN, et al. Increased recognition of non-O157 Shiga toxin-producing Escherichia coli infections in the United States during 2000–2010: epidemiologic features and comparison with E. coli O157 infections. Foodborne Pathog Dis. 2013;10:453–60.

    Article  PubMed  Google Scholar 

  17. Beutin L, Krause G, Zimmermann S, Kaulfuss S, Gleier K. Characterization of Shiga toxin-producing Escherichia coli strains isolated from human patients in Germany over a 3-year period. J Clin Microbiol. 2004;42:1099–108.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Kappeli U, Hachler H, Giezendanner N, Beutin L, Stephan R. Human infections with non-O157 Shiga toxin-producing Escherichia coli, Switzerland, 2000–2009. Emerg Infect Dis. 2011;17:180–5.

    Article  PubMed  PubMed Central  Google Scholar 

  19. van Duynhoven YT, Friesema IH, Schuurman T, Roovers A, van Zwet AA, Sabbe LJ, et al. Prevalence, characterisation and clinical profiles of Shiga toxin-producing Escherichia coli in The Netherlands. Clin Microbiol Infect. 2008;14:437–45.

    Article  PubMed  Google Scholar 

  20. European Food Safety Authority ECfDPaC: The European Union Summary Report on Trends and Sources of Zoonoses, Zoonotic Agents and Food-borne Outbreaks in 2011. EFSA Journal 2013,11:3129 [250 pp.]. doi:10.2903/j.efsa.2013.3129 2013.

  21. Blaser MJ. Deconstructing a lethal foodborne epidemic. N Engl J Med. 2011;365:1835–6.

    Article  CAS  PubMed  Google Scholar 

  22. Norwegian Institute of Public Health: E. coli-enteritt (inkludert EHEC-infeksjon og HUS). Smittevernboka 2013 [In Norwegian], [http://www.fhi.no/eway/default.aspx?pid = 239&trg = Content_6493&Main_6157 = 6287:0:25,5499&MainContent_6287 = 6493:0:25,6833&Content_6493 = 6441:82709::0:6446:32:::0:0]

  23. Wong CS, Mooney JC, Brandt JR, Staples AO, Jelacic S, Boster DR, et al. Risk factors for the hemolytic uremic syndrome in children infected with Escherichia coli O157:H7: a multivariable analysis. Clin Infect Dis. 2012;55:33–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Werber D, King LA, Muller L, Follin P, Buchholz U, Bernard H, et al. Associations of age and sex with the clinical outcome and incubation period of Shiga toxin-producing Escherichia coli O104:H4 infections, 2011. Am J Epidemiol. 2013;178:984–92.

    Article  PubMed  Google Scholar 

  25. Zoufaly A, Cramer JP, Vettorazzi E, Sayk F, Bremer JP, Koop I, et al. Risk factors for development of hemolytic uremic syndrome in a cohort of adult patients with STEC 0104:H4 infection. PLoS One. 2013;8:e59209.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Haugum K, Brandal LT, Lindstedt BA, Wester AL, Bergh K, Afset JE. PCR-Based Detection and Molecular Characterization of Shiga Toxin-Producing Escherichia coli Strains in a Routine Microbiology Laboratory over 16 years. J Clin Microbiol. 2014;52:3156–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Haugum K, Lindstedt BA, Lobersli I, Kapperud G, Brandal LT. Identification of the anti-terminator qO111:H)- gene in Norwegian sorbitol-fermenting Escherichia coli O157:NM. FEMS Microbiol Lett. 2012;329:102–10.

    Article  CAS  PubMed  Google Scholar 

  28. Back E, Svennerholm AM, Holmgren J, Mollby R. Evaluation of a ganglioside immunosorbent assay for detection of Escherichia coli heat-labile enterotoxin. J Clin Microbiol. 1979;10:791–5.

    CAS  PubMed  PubMed Central  Google Scholar 

  29. Brian MJ, Frosolono M, Murray BE, Miranda A, Lopez EL, Gomez HF, et al. Polymerase chain reaction for diagnosis of enterohemorrhagic Escherichia coli infection and hemolytic-uremic syndrome. J Clin Microbiol. 1992;30:1801–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Gannon VP, Rashed M, King RK, Thomas EJ. Detection and characterization of the eae gene of Shiga-like toxin-producing Escherichia coli using polymerase chain reaction. J Clin Microbiol. 1993;31:1268–74.

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Wang G, Clark CG, Rodgers FG. Detection in Escherichia coli of the genes encoding the major virulence factors, the genes defining the O157:H7 serotype, and components of the type 2 Shiga toxin family by multiplex PCR. J Clin Microbiol. 2002;40:3613–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Brandal LT, Lindstedt BA, Aas L, Stavnes TL, Lassen J, Kapperud G. Octaplex PCR and fluorescence-based capillary electrophoresis for identification of human diarrheagenic Escherichia coli and Shigella spp. J Microbiol Methods. 2007;68:331–41.

    Article  CAS  PubMed  Google Scholar 

  33. Brandal LT, Sekse C, Lindstedt BA, Sunde M, Lobersli I, Urdahl AM, et al. Norwegian sheep are an important reservoir for human-pathogenic Escherichia coli O26:H11. Appl Environ Microbiol. 2012;78:4083–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Toma C, Lu Y, Higa N, Nakasone N, Chinen I, Baschkier A, et al. Multiplex PCR assay for identification of human diarrheagenic Escherichia coli. J Clin Microbiol. 2003;41:2669–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Bolin I, Wiklund G, Qadri F, Torres O, Bourgeois AL, Savarino S, et al. Enterotoxigenic Escherichia coli with STh and STp genotypes is associated with diarrhea both in children in areas of endemicity and in travelers. J Clin Microbiol. 2006;44:3872–7.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Russmann H, Schmidt H, Heesemann J, Caprioli A, Karch H. Variants of Shiga-like toxin II constitute a major toxin component in Escherichia coli O157 strains from patients with haemolytic uraemic syndrome. J Med Microbiol. 1994;40:338–43.

    Article  CAS  PubMed  Google Scholar 

  37. Jelacic JK, Damrow T, Chen GS, Jelacic S, Bielaszewska M, Ciol M, et al. Shiga toxin-producing Escherichia coli in Montana: bacterial genotypes and clinical profiles. J Infect Dis. 2003;188:719–29.

    Article  CAS  PubMed  Google Scholar 

  38. Zheng J, Cui S, Teel LD, Zhao S, Singh R, O'Brien AD, et al. Identification and characterization of Shiga toxin type 2 variants in Escherichia coli isolates from animals, food, and humans. Appl Environ Microbiol. 2008;74:5645–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Lindstedt BA, Heir E, Gjernes E, Vardund T, Kapperud G. DNA fingerprinting of Shiga-toxin producing Escherichia coli O157 based on Multiple-Locus Variable-Number Tandem-Repeats Analysis (MLVA). Ann Clin Microbiol Antimicrob. 2003;2:12.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Lindstedt BA, Brandal LT, Aas L, Vardund T, Kapperud G. Study of polymorphic variable-number of tandem repeats loci in the ECOR collection and in a set of pathogenic Escherichia coli and Shigella isolates for use in a genotyping assay. J Microbiol Methods. 2007;69:197–205.

    Article  CAS  PubMed  Google Scholar 

  41. Lobersli I, Haugum K, Lindstedt BA. Rapid and high resolution genotyping of all Escherichia coli serotypes using 10 genomic repeat-containing loci. J Microbiol Methods. 2012;88:134–9.

    Article  CAS  PubMed  Google Scholar 

  42. Altman DG, Bland JM. Diagnostic tests 2: Predictive values. BMJ. 1994;309:102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Byrne L, Vanstone GL, Perry NT, Launders N, Adak GK, Godbole G, et al. The epidemiology and microbiology of Shiga-toxin producing Escherichia coli other than serogroup O157 in England 2009–2013. J Med Microbiol. 2014;63:1181–8.

    Article  PubMed  Google Scholar 

  44. Boerlin P, McEwen SA, Boerlin-Petzold F, Wilson JB, Johnson RP, Gyles CL. Associations between virulence factors of Shiga toxin-producing Escherichia coli and disease in humans. J Clin Microbiol. 1999;37:497–503.

    CAS  PubMed  PubMed Central  Google Scholar 

  45. Bielaszewska M, Middendorf B, Kock R, Friedrich AW, Fruth A, Karch H, et al. Shiga toxin-negative attaching and effacing Escherichia coli: distinct clinical associations with bacterial phylogeny and virulence traits and inferred in-host pathogen evolution. Clin Infect Dis. 2008;47:208–17.

    Article  PubMed  Google Scholar 

  46. Bielaszewska M, Zhang W, Tarr PI, Sonntag AK, Karch H. Molecular profiling and phenotype analysis of Escherichia coli O26:H11 and O26:NM: secular and geographic consistency of enterohemorrhagic and enteropathogenic isolates. J Clin Microbiol. 2005;43:4225–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Pradel N, Bertin Y, Martin C, Livrelli V. Molecular analysis of shiga toxin-producing Escherichia coli strains isolated from hemolytic-uremic syndrome patients and dairy samples in France. Appl Environ Microbiol. 2008;74:2118–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Kawano K, Ono H, Iwashita O, Kurogi M, Haga T, Maeda K, et al. stx genotype and molecular epidemiological analyses of Shiga toxin-producing Escherichia coli O157:H7/H- in human and cattle isolates. Eur J Clin Microbiol Infect Dis. 2012;31:119–27.

    Article  CAS  PubMed  Google Scholar 

  49. Orth D, Grif K, Khan AB, Naim A, Dierich MP, Wurzner R. The Shiga toxin genotype rather than the amount of Shiga toxin or the cytotoxicity of Shiga toxin in vitro correlates with the appearance of the hemolytic uremic syndrome. Diagn Microbiol Infect Dis. 2007;59:235–42.

    Article  CAS  PubMed  Google Scholar 

  50. Luna-Gierke RE, Griffin PM, Gould LH, Herman K, Bopp CA, Strockbine N, et al. Outbreaks of non-O157 Shiga toxin-producing Escherichia coli infection: USA. Epidemiol Infect. 2014;1–11.

  51. Watahiki M, Isobe J, Kimata K, Shima T, Kanatani J, Shimizu M, et al. Characterization of enterohemorrhagic Escherichia coli O111 and O157 strains isolated from outbreak patients in Japan. J Clin Microbiol. 2014;52:2757–63.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Rivero MA, Passucci JA, Rodriguez EM, Parma AE. Role and clinical course of verotoxigenic Escherichia coli infections in childhood acute diarrhoea in Argentina. J Med Microbiol. 2010;59:345–52.

    Article  CAS  PubMed  Google Scholar 

  53. Karch H, Tarr PI, Bielaszewska M. Enterohaemorrhagic Escherichia coli in human medicine. Int J Med Microbiol. 2005;295:405–18.

    Article  CAS  PubMed  Google Scholar 

  54. Alpers K, Werber D, Frank C, Koch J, Friedrich AW, Karch H, et al. Sorbitol-fermenting enterohaemorrhagic Escherichia coli O157:H- causes another outbreak of haemolytic uraemic syndrome in children. Epidemiol Infect. 2009;137:389–95.

    Article  CAS  PubMed  Google Scholar 

  55. Rosser T, Dransfield T, Allison L, Hanson M, Holden N, Evans J, et al. Pathogenic potential of emergent sorbitol-fermenting Escherichia coli O157:NM. Infect Immun. 2008;76:5598–607.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Nygård K VL, Heier BT, Bruun T, Kapperud G: Annual report: Foodborne infections and outbreaks in 2009. Reporting system for infectious diseases (MSIS) and web-based system for outbreak warning (Vesuv). 2010 [In Norwegian], [http://www.fhi.no/eway/default.aspx?pid = 239&trg = Content_6466&Main_6157 = 6263:0:25,6493&MainContent_6263 = 6466:0:25,6494&Content_6466 = 6259:84108::0:6184:2:::0:0]

  57. Preussel K, Hohle M, Stark K, Werber D. Shiga toxin-producing Escherichia coli O157 is more likely to lead to hospitalization and death than non-O157 serogroups--except O104. PLoS One. 2013;8:e78180.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Gerber A, Karch H, Allerberger F, Verweyen HM, Zimmerhackl LB. Clinical course and the role of shiga toxin-producing Escherichia coli infection in the hemolytic-uremic syndrome in pediatric patients, 1997–2000, in Germany and Austria: a prospective study. J Infect Dis. 2002;186:493–500.

    Article  PubMed  Google Scholar 

  59. Pradel N, Livrelli V, De Champs C, Palcoux JB, Reynaud A, Scheutz F, et al. Prevalence and characterization of Shiga toxin-producing Escherichia coli isolated from cattle, food, and children during a one-year prospective study in France. J Clin Microbiol. 2000;38:1023–31.

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Blanco JE, Blanco M, Alonso MP, Mora A, Dahbi G, Coira MA, et al. Serotypes, virulence genes, and intimin types of Shiga toxin (verotoxin)-producing Escherichia coli isolates from human patients: prevalence in Lugo, Spain, from 1992 through 1999. J Clin Microbiol. 2004;42:311–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Mingle LA, Garcia DL, Root TP, Halse TA, Quinlan TM, Armstrong LR, et al. Enhanced identification and characterization of non-O157 Shiga toxin-producing Escherichia coli: a six-year study. Foodborne Pathog Dis. 2012;9:1028–36.

    Article  CAS  PubMed  Google Scholar 

  62. Kappeli U, Hachler H, Giezendanner N, Cheasty T, Stephan R: Shiga toxin-producing Escherichia coli O157 associated with human infections in Switzerland, 2000–2009. Epidemiol Infect 2010:1–8.

  63. Hedican EB, Medus C, Besser JM, Juni BA, Koziol B, Taylor C, et al. Characteristics of O157 versus non-O157 Shiga toxin-producing Escherichia coli infections in Minnesota, 2000–2006. Clin Infect Dis. 2009;49:358–64.

    Article  PubMed  Google Scholar 

  64. Statens Serum Institut: Diaréfremkaldende E. coli 2000–2012. EPI-NYT 2014, [In Danish], [http://www.ssi.dk/Aktuelt/Nyhedsbreve/EPI-NYT/2014/Uge%2010%20-%202014.aspx]

  65. Smith JL, Fratamico PM, Gunther NW. Shiga toxin-producing Escherichia coli. Adv Appl Microbiol. 2014;86:145–97.

    Article  CAS  PubMed  Google Scholar 

  66. Vold L, Klungseth Johansen B, Kruse H, Skjerve E, Wasteson Y. Occurrence of shigatoxinogenic Escherichia coli O157 in Norwegian cattle herds. Epidemiol Infect. 1998;120:21–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. LeJeune JT, Hancock D, Wasteson Y, Skjerve E, Urdahl AM. Comparison of E. coli O157 and Shiga toxin-encoding genes (stx) prevalence between Ohio, USA and Norwegian dairy cattle. Int J Food Microbiol. 2006;109:19–24.

    Article  CAS  PubMed  Google Scholar 

  68. Urdahl AM, Beutin L, Skjerve E, Wasteson Y. Serotypes and virulence factors of Shiga toxin-producing Escherichia coli isolated from healthy Norwegian sheep. J Appl Microbiol. 2002;93:1026–33.

    Article  CAS  PubMed  Google Scholar 

  69. Urdahl AM, Bruheim T, Cudjoe K, Hofshagen M, Hopp P, Johanessen G, Sunde M: Survey of E. coli in sheep. Veterinærinstituttets rapportserie 2009, 02, [In Norwegian], [http://www.vetinst.no/Publikasjoner/Rapportserie/Rapportserie-2009/2-2009-Kartlegging-av-E.-coli-hos-sau-resultater-fra-proever-samlet-inn-i-2007]

  70. Werber D, Behnke SC, Fruth A, Merle R, Menzler S, Glaser S, et al. Shiga toxin-producing Escherichia coli infection in Germany: different risk factors for different age groups. Am J Epidemiol. 2007;165:425–34.

    Article  PubMed  Google Scholar 

  71. Schimmer B, Nygard K, Eriksen HM, Lassen J, Lindstedt BA, Brandal LT, et al. Outbreak of haemolytic uraemic syndrome in Norway caused by stx2-positive Escherichia coli O103:H25 traced to cured mutton sausages. BMC Infect Dis. 2008;8:41.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Wahl E, Vold L, Lindstedt BA, Bruheim T, Afset JE. Investigation of an Escherichia coli O145 outbreak in a child day-care centre--extensive sampling and characterization of eae- and stx1-positive E. coli yields epidemiological and socioeconomic insight. BMC Infect Dis. 2011;11:238.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We want to thank the staff at the Department of Foodborne Infections at the Norwegian Institute of Public Health for skillful technical assistance, including Torbjørn Bruvik who was involved in molecular serotyping and stx subtyping. We also would like to thank Kirsten Konsmo at the Department of Infectious Disease Epidemiology at the Norwegian Institute of Public Health for quality assurance of the MSIS data. Finally, we will thank all medical microbiological laboratories in Norway for the tremendous work load put into isolating STEC from patient samples and forwarding the isolates to the NIPH for further characterization. Infection control of STEC on both the local and national level relies heavily on their efforts.

Author information

Authors and Affiliations

  1. Department of Foodborne Infections, The Norwegian Institute of Public Health, Oslo, Norway

    Lin T. Brandal, Astrid L. Wester & Inger Løbersli

  2. Department of Infectious Disease Epidemiology, The Norwegian Institute of Public Health, Oslo, Norway

    Heidi Lange & Line Vold

  3. Gene Technology Section, Akershus University Hospital, Lørenskog, Norway

    Bjørn-Arne Lindstedt

  4. Division of Infectious Disease Control, The Norwegian Institute of Public Health, Oslo, Norway

    Georg Kapperud

  5. Department of Food Safety and Infection Biology, Norwegian University of Life Sciences, Oslo, Norway

    Georg Kapperud

  6. Division of Infectious Disease Control, Department of Foodborne Infections, Norwegian Institute of Public Health, P.O. Box 4404, Nydalen, N-0403, Oslo, Norway

    Lin T. Brandal

Authors
  1. Lin T. Brandal
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Astrid L. Wester
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heidi Lange
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Inger Løbersli
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bjørn-Arne Lindstedt
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Line Vold
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Georg Kapperud
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Lin T. Brandal.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

LTB led the design of the study and writing of the manuscript. All authors contributed to the writing and reviewing of the paper. LTB, ALW, LV, and GK were involved in the project design. LTB, ALW, IL, and BAL participated in the design, analyses, and interpretation of the microbiological data. HL and LV were responsible for the patient-related data. GK performed the statistical analyses. LTB, ALW, HL, and GK interpreted the statistical data. All authors read and approved the final manuscript.

Additional files

Additional file 1:

Reported outbreaks of human STEC infections, Norway 1992–2012. Characteristics of both local and nationwide STEC outbreaks detected in Norway from 1992–2012.

Additional file 2:

STEC isolates from HUS patients included in the present study, Norway 1992–2012. Microbiological characteristics of STEC isolates (n = 26) from haemolytic uremic syndrome (HUS) patients and characteristics of patients with HUS (n = 25) in Norway from 1992–2012.

Additional file 3:

Characteristics associated with the most common STEC serogroups, Norway 1992–2012. Demographic, clinical, and virulence characteristics among STEC harbouring the most common serogroups, Norway from 1992–2012.

Additional file 4

Distribution of stx genotypes in STEC O157 compared to non-O157 STEC, Norway 1992–2012. Distribution and combination of stx1 and stx2 subtypes in STEC O157 compared to non-O157 STEC, Norway from 1992–2012.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brandal, L.T., Wester, A.L., Lange, H. et al. Shiga toxin-producing escherichia coli infections in Norway, 1992–2012: characterization of isolates and identification of risk factors for haemolytic uremic syndrome. BMC Infect Dis 15, 324 (2015). https://doi.org/10.1186/s12879-015-1017-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12879-015-1017-6

Keywords

BMC Infectious Diseases

ISSN: 1471-2334

Contact us