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Clostridium difficile Infections in Children: Impact of the Diagnostic Method on Infection Rates

Published online by Cambridge University Press:  06 June 2016

Mohammad AlGhounaim
Affiliation:
Infectious Disease Division, Departments of Pediatrics & Medical Microbiology, Montreal Children’s Hospital of the McGill University Health Center, McGill University, Montreal, Canada
Yves Longtin
Affiliation:
Infection Prevention & Control Service, Department of Medicine, Jewish General Hospital, McGill University, Montreal, Canada
Milagros Gonzales
Affiliation:
Research Institute of the McGill University Health Center, Montreal, Canada
Joanna Merckx
Affiliation:
Infectious Disease Division, Departments of Pediatrics & Medical Microbiology, Montreal Children’s Hospital of the McGill University Health Center, McGill University, Montreal, Canada Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada
Nicholas Winters
Affiliation:
Research Institute of the McGill University Health Center, Montreal, Canada
Caroline Quach*
Affiliation:
Infectious Disease Division, Departments of Pediatrics & Medical Microbiology, Montreal Children’s Hospital of the McGill University Health Center, McGill University, Montreal, Canada Research Institute of the McGill University Health Center, Montreal, Canada Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada
*
Address correspondence to Caroline Quach, MD, MSc, McGill University Health Center, 1001 Decarie Blvd, Ste EE05-1954, Montreal (QC) H4A 3J1, Canada (caroline.quach@mcgill.ca).
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Abstract

BACKGROUND

Polymerase chain reaction (PCR) assays based on the detection of the toxin B gene are replacing enzyme-linked immunosorbent assay (ELISA)–based toxin production detection or cell cytotoxicity assay in most laboratories.

OBJECTIVE

To determine the proportion of pediatric patients diagnosed with Clostridium difficile infection by PCR who would have also been diagnosed by ELISA and to compare the clinical characteristics of PCR+/ELISA+ vs PCR+/ELISA− patients.

METHODS

Using the microbiology laboratory information system, stool samples positive for C. difficile by PCR between October 2010 and July 2014 were identified. Using frozen stool specimens, an ELISA for toxin A and B was performed. A retrospective medical chart review was conducted to obtain demographic and clinical data. Duplicate samples were excluded.

RESULTS

A total of 136 PCR-positive samples underwent ELISA testing: 54 (40%) were positive for toxin A or B. The mean (SD) age of the entire cohort was 8.5 (6.2) years. There was no difference in age, gender, clinical manifestation, previous medical problems, and management between patients positive or negative by ELISA. However, patients positive by ELISA were more likely to have had a recent exposure to antibiotics (67.9% vs 50%; crude odds ratio, 2.1 [95% CI, 1.03–4.28]).

CONCLUSION

In our pediatric population, 60% of patients with C. difficile diagnosed by PCR had no toxin detectable by ELISA. ELISA-negative patients were less likely to have received an antibiotic recently compared with ELISA-positive patients. These results highlight the need to standardize laboratory criteria for the diagnosis of C. difficile infections in children.

Infect Control Hosp Epidemiol 2016;37:1087–1093

Information

Type
Original Articles
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 
Figure 0

TABLE 1 Demographic and Clinical Characteristics of 136 Patients With Clostridium difficile Detected by PCR, Montreal Children Hospital, Canada, 2010–2014

Figure 1

FIGURE 1 Flowchart of specimens tested and results. C. difficile, Clostridium difficile; EIA, enzyme immunoassay; PCR, polymerase chain reaction.

Figure 2

FIGURE 2 Proportion of stool samples that were positive for Clostridium difficile at the Montreal Children’s Hospital, by month (April 1, 2009, to August 1, 2014). The arrow indicates when polymerase chain reaction testing for C. difficile was implemented.

Figure 3

TABLE 2 Proportion of Specimens Found to Total Samples in the Microbiology Laboratory Database

Figure 4

TABLE 3 Characteristics of Patients With Lost vs Retrieved Specimens