Advertising Disclaimer
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bell, B. P.
Right arrow Articles by Tarr, P. I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bell, B. P.
Right arrow Articles by Tarr, P. I.
Related Collections
Right arrow Infectious Disease & Immunity
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

PEDIATRICS Vol. 100 No. 1 July 1997, p. e12
Copyright ©1997 by the American Academy of Pediatrics

ELECTRONIC ARTICLE:
Predictors of Hemolytic Uremic Syndrome in Children During a Large Outbreak of Escherichia coli O157:H7 Infections

Beth P. Bell*, Patricia M. GriffinDagger , Paula Lozano§, #, Dennis L. Christie§, #, John M. Kobayashipar , and Phillip I. Tarr§, , #

From the * Epidemic Intelligence Service and the Division of Field Epidemiology, Epidemiology Program Office, and the Dagger  Foodborne and Diarrheal Diseases Branch, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia; the § Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington; the par  Washington State Department of Health, Seattle, Washington; the  Department of Microbiology, University of Washington School of Medicine, Seattle, Washington; and the # Children's Hospital and Medical Center, Seattle, Washington.

ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
FOOTNOTES
ACKNOWLEDGMENTS
ABBREVIATIONS
REFERENCES

ABSTRACT

Objective.  To evaluate risk factors for progression of Escherichia coli O157:H7 infection to the hemolytic uremic syndrome (HUS).

Study Design.  We conducted a retrospective cohort study among 278 Washington State children <16 years old who developed symptomatic culture-confirmed E coli O157:H7 infection during a large 1993 outbreak. The purpose of the study was to determine the relative risk (RR) of developing HUS according to demographic characteristics, symptoms, laboratory test results, and medication use in the first 3 days of illness.

Results.  Thirty-seven (14%) children developed HUS. In univariate analysis, no associations were observed between HUS risk and any demographic characteristic, the presence of bloody diarrhea or of fever, or medication use. In multivariate analysis, HUS risk was associated with, in the first 3 days of illness, use of antimotility agents (odds ratio [OR] = 2.9; 95% confidence interval [CI] 1.2-7.5) and, among children <5.5 years old, vomiting (OR = 4.2; 95% CI 1.4-12.7). Among the 128 children tested, those whose white blood cell (WBC) count was >= 13 000/µL in the first 3 days of illness had a 7-fold increased risk of developing HUS (RR 7.2; 95% CI 2.8-18.5). Thirteen (38%) of the 34 patients with a WBC count >= 13 000/µL developed HUS, but only 5 (5%) of the 94 children whose initial WBC count was <13 000/µL progressed to HUS. Among children who did not develop HUS, use of antimotility agents in the first 3 days of illness was associated with longer duration of bloody diarrhea.

Conclusions.  Prospective studies are needed to further evaluate measures to prevent the progression of E coli O157:H7 infection to HUS and to assess further clinical and laboratory risk factors. These data argue against the use of antimotility agents in acute childhood diarrhea. Our finding that no intervention decreased HUS risk underscores the importance of preventing E coli O157:H7 infections.

Key words: antibiotics, antimotility agents, Escherichia coli O157:H7, kidney failure, leukocytosis.

INTRODUCTION

Escherichia coli O157:H7 causes bloody and nonbloody diarrhea that progresses to hemolytic uremic syndrome (HUS) in a subset of patients.1,2 Though the gastrointestinal manifestations of infection with E coli O157:H7 can be severe, HUS accounts for the major acute and chronic morbidity and mortality caused by this organism.

Associations between certain host-specific factors and the risk of progression of enteric infection with E coli O157:H7 to HUS have been reported. In population-based studies of HUS, age-specific incidence was highest among children <5 years of age, but these studies did not evaluate risk factors for progression of diarrhea or hemorrhagic colitis to HUS.3 In some studies of children with E coli O157:H7 infection, girls were more likely than boys to develop HUS.7,8 Patients who are infected with E coli O157:H7 and at the time of presentation to medical care have elevated white blood cell counts, fever, or bloody stools also have been noted to have a higher risk of progression to HUS than patients without these findings.9

Considerable interest has been focused on the effect of antimicrobial agents on the risk of patients with E coli O157:H7 infections developing HUS. In one prospective, randomized controlled trial, antimicrobial agents administered to 47 children late in the course of infection failed to demonstrate any effect.13

In 1993, a large outbreak of E coli O157:H7 infections resulted from the consumption of inadequately cooked hamburgers in restaurants of Chain A in Washington State, resulting in more than 500 cases.14 Using interviews and medical-record review, we conducted a study among the cohort of children who sought medical attention during the outbreak to evaluate possible risk factors for progression of E coli O157:H7 infection to HUS.

METHODS

Inclusion Criteria

Patients were eligible for inclusion in the study if they had either symptomatic, culture-confirmed E coli O157:H7 infection or HUS beginning in January or February 1993, were <16 years of age, and resided in Washington State. They were considered to have primary cases of infection if illness began within 10 days of eating at a Chain A restaurant. Patients who became ill within 10 days of close contact with a case-patient and who had not eaten at Chain A during that time were considered to have secondary cases.

Data Collection

Data were collected from three sources. First, county health department staff, using a standard questionnaire, interviewed by telephone a parent of each patient within 2 weeks of illness onset and collected demographic data, the dates of illness onset and signs and symptoms of the illness, and the date of eating and food consumed at Chain A. Second, interviewers contacted patients' parents again by telephone 2 to 4 months later. Using a different standard questionnaire, they verified information obtained by the county health department and recorded more detailed information on patients' signs and symptoms, medication use, physician visits and hospitalization. Third, a study coordinator or one of the authors (B.P.B. or P.L.), using a standard data collection form, abstracted recorded signs and symptoms, medications, and test results from medical records.

Case Definition and Variables Examined

We used the onset dates of illness and signs and symptoms first reported by the parent. Diarrhea and vomiting were determined to be present if the family or patient reported these signs. Bloody diarrhea was defined as visible blood in the stool, also by parental report. Fever was defined as any temperature >= 38.5°C at any site. When the parent offered different dates at the time of the second interview, we compared the dates collected from the three sources and used those on which two sources agreed. When considering prescription medication use, we included only those patients where parental report and the medical record agreed on whether the medication was taken. We used the date the medication was started and the number of days taken as reported by the parent for both prescription and nonprescription medication.

Treatment was defined as at least 2 doses of therapy begun within 3 days of first symptoms. Antimotility agents included dicyclomine, diphenoxylate, Donnatal (phenobarbital, hyoscyamine sulfate, atropine sulfate, scopolamine [A.H. Robins, Richmond, VA]), hyoscyamine sulfate, loperamide, and opioid narcotics. Adsorptive agents were considered to be attapulgite or kaolin-pectin. Continuous variables were also considered as categorical variables by dividing at the median or quartile values.

Complete HUS was defined as a platelet count <150 000/µL, hematocrit <30% with evidence of intravascular hemolysis on peripheral blood smear, and blood urea nitrogen (BUN) >20 mg/dL. Incomplete HUS was defined as two of these criteria. Complete and incomplete HUS were combined to form the outcome measure, termed HUS in this study. For children who subsequently developed HUS, only signs and symptoms occurring, and laboratory tests obtained, before HUS developed were included.

Microbiology

Stool samples were submitted to local laboratories, and tested for the presence of E coli O157:H7 by inoculation onto sorbitol-MacConkey agar. Serotyping, confirmation, and toxin typing of E coli O157:H7 recovered were performed as previously reported.14

Statistics

The chi 2 test, Fisher's exact test, Student's t test, and Pearson correlation coefficients were used to examine relationships among independent variables and HUS. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated using standard methods or the exact method of Martin and Austin where appropriate.15,16 Normality was assessed using the Shapiro-Wilk statistic, and for data that were not normally distributed, the Wilcoxon 2-sample and Kruskal-Wallis tests were used. In stratified analyses, possible differences in associations among strata were examined using Cochran-Mantel-Haenzel statistics and the Breslow-Day test. Logistic regression modelling was conducted using SAS (SAS Institute, Inc, Cary, NC) software.17 Variables associated with the outcome in the univariate analysis at P <=  .1 and possible confounding variables were included in the initial model. The most parsimonious model was developed by evaluating the effects of covariates using the -2 Log Likelihood criteria.

RESULTS

Study Population

The study population consisted of 278 (86%) of the 324 children eligible for participation. Of the 46 children who did not participate, the parents of 10 (22%) refused to be interviewed, 25 (54%) refused medical record review, 8 (17%) could not be located, and 3 (7%) had either no medical record or had not visited a physician. The median age of study subjects was 6 years (range 0 to 15); 145 (52%) were female; 245 (88%) were white. Two hundred eighteen (78%) acquired their infection by eating a hamburger at Chain A and 30 (11%) had cases of secondary infection. The source of infection could not be determined in 30 (11%). Ninety-two (33%) patients were hospitalized.

Outcomes Identified

There were 33 children (12%) with complete HUS and 4 (2%) with incomplete HUS. These 4 patients had anemia (median hematocrit 27%; range 23-29) and thrombocytopenia (median 42 000/µL; range 29 000 to 122 000), but no azotemia; 3 had proteinuria or hematuria. The median interval between onset of the first symptom to hospitalization for HUS was 6 days (range 1 to 12).

Demographic Risk Factors Analyzed

We found no association between the risk of HUS and age, sex, or annual household income (Table 1). Although 2 of the 3 fatalities (all from complications of HUS) occurred in children who had secondary cases of infection, patients with secondary cases were no more likely to develop HUS (3/30; 10%) than were patients with primary cases (30/218; 14%). A similar proportion of patients with mental retardation or developmental delay developed HUS (1/8; 13%) as patients without these conditions (36/169; 21%).

Table 1. Risk of HUS by Selected Demographic Characteristics

[View Table]

Clinical Risk Factors Analyzed

We initially examined clinical characteristics present at any time before HUS developed. Children whose parents reported vomiting had 3 times the risk of developing HUS (29/153 [19%]) compared with children who did not (8/125 [6%]; RR = 3.0; 95% CI 1.4-6.2). HUS developed in a larger proportion of children with bloody diarrhea compared with children who had diarrhea without blood, and in a larger proportion of children with fever, but the differences were not statistically significant: 34/243 (14%) with bloody diarrhea developed HUS vs 2/28 (7%) without bloody diarrhea (RR = 2.0; 95% CI .5-7.7); 11/56 (20%) with fever developed HUS vs. 20/169 (12%) without fever (RR = 1.8; 95% CI .8-4.1).

To investigate early predictors of HUS, we evaluated the risk of HUS by clinical characteristics measured within the first 3 days of illness (Table 2). Vomiting during this interval was again significantly associated with HUS, conferring nearly twice the risk. This association was modified by age. Among children <5.5 years old, vomiting in the first 3 days of illness was strongly associated with HUS risk (RR = 3.5; 95% CI 1.4-9.4). In contrast, no association was observed between vomiting in the first 3 days of illness and HUS risk among children >= 5.5 years old (RR = 1.0; 95% CI .4-2.4).

Table 2. Risk of HUS by Selected Clinical Characteristics Beginning <= 3 Days After Diarrheal Illness Onset and by Laboratory Values Among Children Tested Within 3 Days of Diarrheal Illness Onset

[View Table]

Medication Risk Factors Analyzed

Fifty (18.0%) children received an antimicrobial agent, and 34 (12.5%) received an antimotility agent during the first 3 days of illness. No association was observed between treatment with any of these agents and age, sex, or hospitalization. Children treated with antimicrobial agents were more likely to live in households that had annual household incomes of more than $29 000 per year (RR = 1.7; 95% CI 1.0-2.8).

Thirty-one (62%) of the 50 children who received antimicrobial agents were treated with trimethoprim/sulfamethoxazole (TMP/SMZ), 13 (26%) received ampicillin or amoxicillin, 6 (12%) received a cephalosporin, and 4 (8%) received metronidazole. Tetracycline, erythromycin, ciprofloxacin, and gentamicin each were given to 1 child. Eleven children received more than 1 antimicrobial agent. There was no association between treatment with any antimicrobial agent or with TMP/SMZ, and HUS risk (Table 3).

Table 3. Risk of HUS by Medications Begun Within 3 Days of Diarrheal Illness Onset

[View Table]

In univariate analysis, children treated with antimotility agents had twice the risk of developing HUS, but this finding failed to reach statistical significance (Table 3). There was no association between receiving antimotility agents and the risk of developing HUS when these analyses were restricted to children <5.5 years old. No patients treated with adsorbents alone developed HUS.

Mulitivariate Modeling

In multivariate modeling, children who were treated with antimotility agents were more likely to develop HUS than were children who did not receive them (odds ratio [OR] = 2.9; 95% CI 1.2-7.5). The relationship between vomiting during the first 3 days of illness and HUS risk identified in the univariate analysis was also observed in the multivariate model, but the adjusted OR for the risk of HUS among children younger than 5.5 years with vomiting was larger (OR = 4.2; 95% CI 1.4-12.7). There was no association between vomiting and HUS risk among children at least 5.5 years old (OR = 1.0; 95% CI .4-3.0).

Laboratory Risk Factors Analyzed

Among the 128 children who had a laboratory test in the first 3 days of illness, patients with a total white blood (WBC) cell count >10 500/µL were at a 5-fold increased risk of HUS (Table 2); this association was not modified by age. The risk increased to 7-fold among children with a WBC count >= 13 000/µL, the upper quartile in this population. No other laboratory test result on specimens obtained during the first 3 days of illness was associated with the subsequent development of HUS.

Less Severe Outcomes

Among children who did not develop HUS, we examined possible relationships between more common, but less severe, outcomes and treatment with antimicrobial or antimotility agents in the first 3 days of illness. We found no statistically significant associations between the number of days of diarrhea or of bloody diarrhea and antimicrobial agent use (Table 4). There was no difference in the median duration of diarrhea among children treated with antimotility agents compared with those who did not receive them, but the median duration of bloody diarrhea was longer (4 vs 3 days, respectively, P < .05) (Table 4).

Table 4. Duration of Diarrhea and Bloody Diarrhea by Medications Begun Within the First 3 Days of Illness Among Patients Who Did Not Develop HUS

[View Table]

DISCUSSION

We demonstrate that an elevated total WBC count early in the course of E coli O157:H7 infection is strongly associated with the development of HUS. Vomiting, the only sign associated with HUS risk, was not previously noted to be a factor for progression of E coli O157:H7 infection to HUS8,9,11,18,19. Vomiting may indicate severe gastrointestinal injury, higher intestinal concentrations of Shiga toxin (Stx), host susceptibility, or systemic toxemia with central nervous system effects.20 We were unable to demonstrate an association between developmental delay and risk of progression to HUS, as has been previously noted.21

Reduced power may have contributed to our failure to associate bloody diarrhea or fever with HUS risk, because almost all children studied had bloody diarrhea, and parental recall might have caused imprecise reporting of fever. Also, we found no relationship between age, female sex, or higher socioeconomic status and HUS risk among infected patients. However, these risk factors for HUS might reflect differential exposure to E coli O157:H7 or ascertainment of HUS patients rather than increased risk of HUS among clinically infected patients. Because there were few nonwhite children in this study population, the relationship of race/ethnicity and HUS risk could not be assessed.

Our study had limited power to associate antimotility agents and HUS risk because few patients received these agents. Nonetheless, on multivariate analysis, there was a statistically significantly increased risk of progression of E coli O157:H7 infection to HUS among children who took agents that slowed peristalsis. Among children who did not develop HUS, antimotility agent use was associated with longer duration of bloody diarrhea. On the basis of these data, and in consideration of similar data from British Columbia,8,19 we advise against administering agents that slow peristalsis to children with bloody diarrhea or E coli O157:H7 infection. In addition, because nonbloody diarrhea precedes bloody diarrhea in most E coli O157:H7 infections,22 the absence of visible blood in stools does not indicate that a patient is not infected with E coli O157:H7 or another Stx-producing organism. In view of the lack of any demonstrated therapeutic benefit from these agents, we advise against administering agents that slow peristalsis to any child with acute diarrhea.

Antibiotics might injure or lyse intracolonic E coli O157:H7, liberating more Stx for systemic absorption,23,24 or eliminate competitive colonic flora. Conversely, antibiotic-induced clearance of E coli O157:H7 might decrease the risk of progression to HUS. However, we demonstrate no benefit of antibiotics in E coli O157:H7 infection. In two E coli O157:H7 outbreaks, antimicrobials, particularly TMP/SMZ, increased the risk of HUS or of death,9,11 a trend, albeit not statistically significant, also noted in Washington State in 1987.22 Prolonged antimicrobial therapy was associated with reduced risk of HUS among patients in a case series from British Columbia, Canada, but the timing of administration with respect to illness onset was not reported,8 and this outcome may reflect a bias toward continuation of antibiotics in children who were not destined to develop HUS. In an expanded case series, antimicrobial use and HUS risk were not associated.20 In two prospective randomized, controlled studies, antimicrobial agents had no effect on the risk of HUS, but the sample sizes were small,9 and therapy was commenced late.13

Our study has several strengths. By interviewing parents and reviewing medical records, we verified that prescribed antimicrobial agents were actually given, and, like Akashi et al,12 we focused on the early stage of illness. By assessing the effect of early antimicrobial therapy, we may have reduced the possible confounding inherent in retrospective studies: antimicrobial agents may appear to have a deleterious effect because physicians prescribed them for sicker children (ie, those "destined" to develop HUS) as their illnesses became more severe. Furthermore, medication administered or continued8 late in the course, once the pathophysiologic processes resulting in HUS have either begun or been avoided, might not affect illness outcome.

This is the largest study of its kind to date, and has additional strengths that improve the ability to generalize our findings. Because of the publicity surrounding this community-wide outbreak, a diverse group of children with a broad spectrum of disease severity may have been brought to medical attention. Only culture-confirmed cases of E coli O157:H7 infection were included and in almost all cases infection was caused by the same strain,25 reducing bias from the inclusion of infections caused by E coli O157:H7 strains with varying virulence traits.26

This study has several limitations. Parental recall of the child's symptoms and of medications used, and completeness and accuracy of medical records, may have varied with the severity of the child's illness. Such differential reporting would bias toward an association between the factor and the risk of HUS. Second, the data in this retrospective study may have been imprecise. The information contained in the medical record was not collected in a standardized manner, and recall was requested for an event several weeks or months before the interview. Such nondifferential inaccuracies would reduce power and decrease the likelihood of finding an association. Third, power to detect an effect of antimicrobial agents on HUS risk would have been greater if a larger proportion of children had been treated; however, the study had sufficient power to detect a difference in risk of approximately 2.5-fold or greater. Finally, the results may not apply to disease caused by E coli O157:H7 that produces Stx 2 but not Stx 1. However, most E coli O157:H7 strains, like the outbreak strain, produce both Stx 1 and Stx 2.26

Our results may help clinicians. Only 5 of the 94 children with E coli O157:H7 infection tested in the first 3 days of illness who had a WBC count <13 000/µL subsequently developed HUS (negative predictive value of 95%). This finding should be confirmed in other populations, but a low WBC count early in the course of E coli O157:H7 infection in children may indicate low HUS risk. Obtaining a WBC count early in the course of illness is possible; 49 (86%) of the 57 children who sought medical attention before the outbreak was publicized presented within 3 days of illness onset. A high WBC count was a moderately sensitive predictor of the likelihood to progression to HUS in our study; 13 (38%) of 34 children with a WBC count >= 13 000/µL in the first 3 days of illness subsequently developed HUS compared with 18 (14%) of the total of 128 children tested. However, because a normal WBC count does not absolutely indicate a benign course, all patients should be followed closely until diarrhea is resolved for several days to confirm that urine output remains adequate and mental status is normal.

These data may help plan trials to evaluate interventions to prevent HUS following E coli O157:H7 infection. Most infected patients recover spontaneously within approximately 1 week. If patients with a higher likelihood of developing HUS could be identified at presentation, this group could be studied in prospective, randomized, controlled trials to assess the role of antimicrobial agents, toxin binders, antitoxins, or other modalities to prevent HUS. Using the criteria of a WBC count >= 13 000/µL in the first 3 days of illness, we would have identified 13 (72%) of the 18 patients who developed HUS among the 128 patients in whom the laboratory test was obtained. Twenty-one (16%) patients meeting this criterion failed to develop HUS.

No intervention decreased the risk of developing HUS. Factors that reflect the host's early response to infection (vomiting and leukocytosis in the first three days of illness) predicted the subsequent development of HUS. These findings suggest that the pathophysiologic processes resulting in HUS often are initiated by the time medical attention is initially sought. These findings underscore the importance of preventing E coli O157:H7 infection as the most effective way to prevent HUS.

FOOTNOTES

   Dr Bell's present address is: Hepatitis Branch, Division of Viral and Rickettsial Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd NE, Atlanta, GA 30333.
   Send correspondence and reprint requests to Phillip I. Tarr, MD, Children's Hospital and Medical Center, Division of Gastroenterology and Nutrition, CH-24, 4800 Sand Point Way NE, Seattle, WA 98105.

Received for publication Jul 15, 1996; accepted Mar 4, 1997.

ACKNOWLEDGMENTS

This research was supported by grants from the Children's Hospital Foundation (Seattle) and the American College of Gastroenterology.

We wish to thank Charla deBolt, RN, Marcia Goldoft, MD, MPH, Gail Hansen, DVM, Steven Hooker, MD, MPH, Kathy Carroll, RN, Carole Winegar, RN, Cynthia Miron, RN, Annette Fitzpatrick for assistance in the collection of the data, and the medical record staffs, attending physicians, and family members of patients for supplying clinical information used in this investigation.

ABBREVIATIONS

HUS, hemolytic uremic syndrome. BUN, blood urea nitrogen. RR, relative risk. CI, confidence interval. TMP/SMZ, trimethoprim/sulfamethoxazole. OR, odds ratio. WBC, white blood cell. Stx, Shiga toxin.

REFERENCES

  1. Cohen MB Escherichia coli O157:H7 infections: a frequent cause of bloody diarrhea and the hemolytic-uremic syndrome. Adv Pediatr. 1996; 43:171-207[Medline]
  2. Boyce TG, Swerdlow DL, Griffin PM Escherichia coli O157:H7 and the hemolytic-uremic syndrome. N Engl J Med 1995; 333:364-368[Free Full Text]
  3. Tarr PI, Hickman RO Hemolytic uremic syndrome epidemiology: a population-based study in King County, Washington, 1971-1980. Pediatrics. 1987; 80:41-45[Abstract/Free Full Text]
  4. Rogers MJ, Rutherford GW, Alexander SR, A population-based study of hemolytic uremic syndrome in Oregon, 1979-1982. Am J Epidemiol. 1986; 123:137-142[Abstract/Free Full Text]
  5. Martin DL, MacDonald KL, White KE, Soler JT, Osterholm MT The epidemiology and clinical aspects of the hemolytic uremic syndrome in Minnesota. N Engl J Med 1990; 323:1161-1167[Abstract]
  6. Rowe PC, Orrbine E, Wells GA, Epidemiology of hemolytic uremic syndrome in Canadian children from 1986-1988. J Pediatr. 1991; 119:218-224[CrossRef][Medline]
  7. Rowe PC, Walop W, Lior H, Hemolytic anemia after childhood Escherichia coli O157:H7 infection: are females at increased risk? Epidemiol Infect. 1991; 106:523-530[Medline]
  8. Cimolai N, Carter JE, Morrison BJ, Anderson JD Risk factors for the progression of Escherichia coli O157:H7 enteritis to hemolytic-uremic syndrome. J Pediatr. 1990; 116:589-592[CrossRef][Medline]
  9. Pavia AT, Nichols CR, Green DP, Hemolytic-uremic syndrome during an outbreak of Escherichia coli O157:H7 infections in institutions for mentally retarded persons: clinical and epidemiologic observations. J Pediatr. 1990; 116:544-551[CrossRef][Medline]
  10. Gransden WR, Damm MAS, Anderson JD, Further evidence associating hemolytic uremic syndrome with infection by verotoxin-producing Escherichia coli O157:H7. J Infect Dis. 1986; 154:522-524[Medline]
  11. Carter AO, Borczyk AA, Carlson JAK, A severe outbreak of Escherichia coli O157:H7-associated hemorrhagic colitis in a nursing home. N Engl J Med. 1987; 317:1496-1500[Abstract]
  12. Akashi S, Joh K, Tsuji A, A severe outbreak of haemorrhagic colitis and haemolytic uraemic syndrome associated with Escherichia coli O157:H7 in Japan. Eur J Pediatr. 1994; 153:65-655
  13. Proulx F, Turgeon JP, Delage G, Lafleur L, Chicoine L Randomized, controlled trial of antibiotic therapy for Escherichia coli O157:H7 enteritis. J Pediatr 1992; 121:299-303[CrossRef][Medline]
  14. Bell BP, Goldoft M, Griffin PM, A multistate outbreak of Escherichia coli O157:H7-associated bloody diarrhea and hemolytic uremic syndrome from hamburgers: the Washington experience. JAMA. 1994; 272:1349-1353[Abstract/Free Full Text]
  15. Kleinbaum DG, Kupper LL, Morgenstern H. Epidemiologic Research: Principles and Quantitative Methods. Belmont, CA: Wadsworth, Inc; 1982:299
  16. Martin D, Austin H An efficient program for computing conditional maximum likelihood estimates and exact confidence limits for a common odds ratio. Epidemiology. 1991; 2:359-362[Medline]
  17. SAS Institute, Inc. SAS/STAT User's Guide. Version 6.08. Cary, NC: SAS Institute, Inc; 1989
  18. Gianviti A, Rosmini F, Caprioli A, Haemolytic-uraemic syndrome in childhood: surveillance and case-control studies in Italy. Italian HUS study group. Pediatr Nephrol. 1994; 8:705-709[CrossRef][Medline]
  19. Cimolai N, Basalyga S, Mah DG, Morrison BJ, Carter JE A continuing assessment of risk factors for the development of Escherichia coli O157:H7-associated hemolytic uremic syndrome. Clin Nephrol. 1994; 42:85-89[Medline]
  20. Fujii J, Kita T, Yoshida S, Direct evidence of neuron impairment by oral infection with verotoxin-producing Escherichia coli O157:H7 in mitomycin-treated mice. Infect Immunol. 1994; 62:3447-3453[Abstract/Free Full Text]
  21. Abu-Arafeh IA, Auchterlonie IA, Smail PJ. Risk of hemolytic-uremic syndrome in children with neurologic disorders. J Pediatr. 1992;120:834-835. Letter
  22. Ostroff SM, Kobayashi JM, Lewis JH Infections with Escherichia coli O157:H7 in Washington State: the first year of statewide disease surveillance. JAMA 1989; 262:355-359[Abstract/Free Full Text]
  23. Karch H, Stockbine N, O'Brien A Growth of Escherichia coli in the presence of trimethoprim-sulfamethoxazole facilitates detection of Shiga-like toxin producing strains by colony blot assay. FEMS Microbiol Lett. 1986; 35:141-145[CrossRef]
  24. Walterspiel JN, Ashkenazi S, Morrow AL, Cleary TG Effect of subinhibitory concentrations of antibiotics on extracellular Shiga-like toxin I.  Infection. 1992; 20:25-29[CrossRef][Medline]
  25. Grimm LM, Goldoft M, Kobayashi J, Molecular epidemiology of a fast-food restaurant-associated outbreak of Escherichia coli O157:H7 in Washington State. J Clin Microbiol. 1995; 33:2155-2158[Abstract/Free Full Text]
  26. Ostroff SM, Tarr PI, Neill MA, Hargrett-Bean N, Kobayashi JM Toxin genotypes and plasmid profiles as determinants of systemic sequelae in Escherichia coli O157:H7 infections. J Infect Dis. 1989; 160:994-998[Medline]
Pediatrics (ISSN 0031 4005). Copyright ©1997 by the American Academy of Pediatrics

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 J. Clin. Microbiol.Home page
P. J. Gavin, L. R. Peterson, A. C. Pasquariello, J. Blackburn, M. G. Hamming, K. J. Kuo, and R. B. Thomson Jr.
Evaluation of Performance and Potential Clinical Impact of ProSpecT Shiga Toxin Escherichia coli Microplate Assay for Detection of Shiga Toxin-Producing E. coli in Stool Samples
J. Clin. Microbiol., April 1, 2004; 42(4): 1652 - 1656.
[Abstract] [Full Text] [PDF]

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bell, B. P.
Right arrow Articles by Tarr, P. I.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bell, B. P.
Right arrow Articles by Tarr, P. I.
Related Collections
Right arrow Infectious Disease & Immunity
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?