Ecologic analysis of antimicrobial use in South Carolina hospitals during 2020–2022

Pamela L. Bailey, Shujie Chen, M. Al-Hasan, B. Olatosi, Xiaoming Li, Jiajia Zhang
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Abstract

Abstract Background: Factors influencing excessive antimicrobial utilization in hospitalized patients remain poorly understood, particularly with the COVID-19 pandemic. Methods: In this retrospective cohort, we compared administrative data regarding antimicrobial prescriptions in hospitalized patients in South Carolina from March 2020 through September 2022. The study examined variables associated with antimicrobial use across demographics, COVID status, and length of stay, among other variables. Results: Significant relationships were seen with antimicrobial use in COVID-19 positive patients (OR 2.00, 95% Confidence Interval (CI): 1.9–2.1), young adults (OR 1.08, 95% CI: 0.99–1.12, COVID-19 positive Blacks and Hispanics (OR 1.06, 95% CI: 1.01–1.11, OR 1.05, 95% CI: 0.89–1.23), and COVID-19 positive patients with ≥2 comorbid conditions (OR 1.55, 95% CI: 1.43–1.68). Discussion: Further analysis in more than one healthcare system should explore these ecologic relationships further to understand if these are common trends to inform ongoing stewardship interventions.
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2020-2022 年南卡罗来纳州医院抗菌药物使用生态分析
背景:影响住院患者过度使用抗菌药物的因素仍然知之甚少,特别是在COVID-19大流行的情况下。方法:在这一回顾性队列研究中,我们比较了2020年3月至2022年9月期间南卡罗来纳州住院患者抗菌药物处方的管理数据。该研究调查了人口统计学、COVID状态、住院时间等与抗菌药物使用相关的变量。结果:在COVID-19阳性患者(OR 2.00, 95%可信区间(CI): 1.9-2.1)、年轻人(OR 1.08, 95% CI: 0.99-1.12)、COVID-19阳性黑人和西班牙裔(OR 1.06, 95% CI: 1.01-1.11, OR 1.05, 95% CI: 0.89-1.23)和COVID-19阳性患者(OR 1.55, 95% CI: 1.43-1.68)中,抗菌药物的使用与抗菌药物的使用有显著关系。讨论:对不止一个医疗保健系统的进一步分析应该进一步探索这些生态关系,以了解这些是否为正在进行的管理干预提供信息的共同趋势。
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