Affiliation:
1. From the Department of Pediatrics
2. Department of Infectious Diseases, Infection Control, and Employee Health
3. Department of Biostatistics, The University of Texas MD Anderson Cancer Center
4. Pharmacy Practice and Translational Research, The University of Houston College of Pharmacy, Houston, Texas.
Abstract
Background:
Pediatric oncology patients, who are typically immunosuppressed, exposed to medications associated with increased Clostridioides difficile infection (CDI) risk and hospitalized, are expected to be at substantial risk for infection and complications. Although certain C. difficile ribotypes have been associated with more severe infection in adults, such an association has not been described in children.
Methods:
To characterize CDI epidemiology, including risk factors and complications among pediatric oncology patients, we retrospectively reviewed charts of patients 1–18 years old treated at a designated cancer center during 2000–2017. We used fluorescence-based polymerase chain reaction to identify ribotypes causing disease at our institution.
Results:
In 11,366 total patients, we identified 207 CDI cases during the study period. CDI prevalence in our pediatric oncology population was 18 cases per 1000 patients. CDI was highest among patients with acute myeloid leukemia, neuroblastoma, and desmoplastic small round cell tumor (105, 66 and 111 cases per 1000 patients, respectively; P < 0.01). Fever, leukocytosis, elevated creatinine and abdominal radiation and fluoroquinolone exposure concurrent with treatment of CDI were associated with complications. Patients with severe CDI experienced increased mortality. Ribotypes previously associated with severe infection were observed infrequently and were not associated with mortality.
Conclusions:
This is the largest study of CDI in pediatric oncology patients to date. The study identifies specific oncologic diagnoses with increased CDI risk and factors predictive of poor outcomes. As CDI treatment guidelines are developed for this population, these data will be useful for risk stratification of patients in need of early, aggressive treatment.
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Infectious Diseases,Microbiology (medical),Pediatrics, Perinatology and Child Health
Cited by
1 articles.
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