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. 2023 Aug;51(8):879-883.
doi: 10.1016/j.ajic.2022.12.004. Epub 2022 Dec 16.

Predictors of hospital-onset Clostridioides difficile infection in children with antibiotic-associated diarrhea

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Predictors of hospital-onset Clostridioides difficile infection in children with antibiotic-associated diarrhea

Meltem Polat et al. Am J Infect Control. 2023 Aug.

Abstract

Background: This study aimed to determine the predictors of hospital-onset Clostridioides difficile infection (CDI) in pediatric patients with antibiotic-associated diarrhea (AAD) and to develop a predictive scoring system to identify at-risk patients.

Methods: This retrospective case-control study included patients aged ≥2-18 years with AAD who underwent C. difficile polymerase chain reaction testing >3 days after hospital admission. Patients with hospital-onset CDI were selected as cases and matched with the control patients without CDI. Univariate and multivariate logistic regressions were used to determine predictors of CDI and to construct a prediction score for the outcomes of interest.

Results: Sixty-five patients with hospital-onset CDI and 130 controls were enrolled. Independent predictors for CDI identified and combined into the prediction score included abdominal pain (adjusted odds ratio [95% confidence interval]: 7.940 [3.254-19.374]), hospitalization for ≥14 days before the onset of diarrhea (3.441 [1.034-11.454]), antibiotic use for ≥10 days before the onset of diarrhea (6.775 [1.882-24.388]), receipt of meropenem (4.001 [1.098-14.577]) and clindamycin (14.842 [4.496-49.000]). The area under the receiver operating characteristic curve for this score was 0.883.

Conclusions: The presented scoring system can be easily applied by clinicians at the bedside to decide which patients with AAD are likely to have CDI.

Keywords: Antibiotic-associated diarrhea; Children; Clostridioides difficile infection; Hospital-onset.

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