Clostridioides difficile Infections During the COVID-19 Pandemic

Author:

Kaura Abhimanyu1,Stanton Daniel2,Villasante-Tezanos Alejandro3,Halder Debopriyo4,Reynoso David5

Affiliation:

1. Division of Addiction Medicine, University of Maryland, Baltimore, MD

2. Internal Medicine

3. Biostatistics and Data Science

4. School of Medicine

5. Department of Infectious Diseases, University of Texas Medical Branch, Galveston, TX

Abstract

Objective To compare rates of prepandemic Clostridioides difficile infection (CDI) during the COVID-19 pandemic and the rates of antibacterial use prepandemic and during the COVID-19 pandemic. Design This was a retrospective data review. Setting This study was performed at an academic medical center. Patients Patients were all adult patients admitted to the hospital between April 1, 2019, and December 31, 2019, who were tested for CDI and admitted in the same time frame in 2020, and who were tested for CDI were included in the study. Methods Retrospective data analysis was conducted across 5 hospitals from April 1 to December 31, 2019 (prepandemic), and on the same dates in 2020 during the pandemic. The standardized infection ratio (SIR) for hospital-acquired CDI (HA-CDI) was calculated for both groups. The mean and normal distributions were calculated for all values in both the groups. The 2 groups were compared using unpaired t tests for continuous variables and χ 2 tests for discrete variables. Results Thirty-six patients were diagnosed with HA-CDI before the pandemic (2019), and 45 patients during the pandemic (2020). The 2019 HA-CDI SIRs were 0.47 in 2019 and 0.56 in 2020. Days of therapy per 1000 patient-days of antibiotics increased from 337.1 to 364.6 (P = 0.0057). Analysis of 153 inpatients with diarrhea revealed no positive association between COVID and CDI. Conclusion During the COVID-19 pandemic, empiric broad-spectrum antibacterial use increased in our system, as did HA-CDI SIR compared with the national standards. We did not observe a positive correlation between COVID-19 and CDI.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Infectious Diseases,Microbiology (medical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3