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Risk Factors of Severe Clostridioides difficile Infection; Sequential Organ Failure Assessment Score, Antibiotics, and Ribotypes

Authors
 Min Hyuk Choi  ;  Dokyun Kim  ;  Seok Hoon Jeong  ;  Hyuk Min Lee  ;  Heejung Kim 
Citation
 FRONTIERS IN MICROBIOLOGY, Vol.13 : 900681, 2022-05 
Journal Title
FRONTIERS IN MICROBIOLOGY
Issue Date
2022-05
Keywords
CDI ; Clostridioides difficile ; antibiotics ; machine learning ; ribotyping ; sequential organ failure assessment score
Abstract
We aimed to determine whether the Sequential Organ Failure Assessment (SOFA) score predicts the prognosis of patients with Clostridioides difficile infection (CDI). In addition, the association between the type of antibiotic used and PCR ribotypes was analyzed. We conducted a propensity score (PS)-matched study and machine learning analysis using clinical data from all adult patients with confirmed CDI in three South Korean hospitals. A total of 5,337 adult patients with CDI were included in this study, and 828 (15.5%) were classified as having severe CDI. The top variables selected by the machine learning models were maximum body temperature, platelet count, eosinophil count, oxygen saturation, Glasgow Coma Scale, serum albumin, and respiratory rate. After propensity score-matching, the SOFA score, white blood cell (WBC) count, serum albumin level, and ventilator use were significantly associated with severe CDI (P < 0.001 for all). The log-rank test of SOFA score ≥ 4 significantly differentiated severe CDI patients from the non-severe group. The use of fluoroquinolone was more related to CDI patients with ribotype 018 strains than to ribotype 014/020 (P < 0.001). Even after controlling for other variables using propensity score matching analysis, we found that the SOFA score was a clinical predictor of severe CDI. We also demonstrated that the use of fluoroquinolones in hospital settings could be associated with the PCR ribotype in patients with CDI.
Files in This Item:
T202201705.pdf Download
DOI
10.3389/fmicb.2022.900681
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dokyun(김도균) ORCID logo https://orcid.org/0000-0002-0348-5440
Kim, Heejung(김희정) ORCID logo https://orcid.org/0000-0002-0190-703X
Lee, Hyuk Min(이혁민) ORCID logo https://orcid.org/0000-0002-8523-4126
Jeong, Seok Hoon(정석훈) ORCID logo https://orcid.org/0000-0001-9290-897X
Choi, Min Hyuk(최민혁) ORCID logo https://orcid.org/0000-0001-9801-9874
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188777
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