Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania.
Departments of Medicine and Pharmacology and Physiology, College of Medicine, Drexel University, Philadelphia, Pennsylvania.
Infect Control Hosp Epidemiol. 2021 Aug;42(8):948-954. doi: 10.1017/ice.2020.1324. Epub 2020 Dec 7.
To investigate associations between healthcare-associated Clostridioides difficile infection and patient demographics at an urban safety-net hospital and compare findings with national surveillance statistics.
Study participants were selected using a case-control design using medical records collected between August 2014 and May 2018 at Hahnemann University Hospital in Philadelphia. Controls were frequency matched to cases by age and length of stay. Final sample included 170 cases and 324 controls. Neighborhood-level factors were measured using American Community Survey data. Multilevel models were used to examine infection by census tract, deprivation index, race/ethnicity, insurance type, referral location, antibiotic use, and proton-pump inhibitor use.
Patients on Medicare compared to private insurance had 2.04 times (95% CI, 1.31-3.20) the odds of infection after adjusting for all covariables. Prior antibiotic use (2.70; 95% CI, 1.64-4.46) was also associated with infection, but race or ethnicity and referral location were not. A smaller proportion of hospital cases occurred among white patients (25% vs 44%) and patients over the age of 65 (39% vs 56%) than expected based on national surveillance statistics.
Medicare and antibiotics were associated with Clostridioides difficile infection, but evidence did not indicate association with race or ethnicity. This finding diverges from national data in that infection is higher among white people compared to nonwhite people. Furthermore, a greater proportion of hospital cases were aged <65 years than expected based on national data. National surveillance statistics on CDI may not be transportable to safety-net hospitals, which often disproportionately serve low-income, nonwhite patients.
在一家城市医疗保障医院调查与医疗保健相关的艰难梭菌感染和患者人口统计学特征之间的关联,并将调查结果与全国监测统计数据进行比较。
研究参与者通过病历记录采用病例对照设计选取,记录时间为 2014 年 8 月至 2018 年 5 月在费城哈内曼大学医院收集。对照病例通过年龄和住院时间进行频数匹配。最终样本包括 170 例病例和 324 例对照。使用美国社区调查数据测量社区环境因素。使用多水平模型检验感染与普查区、贫困指数、种族/族裔、保险类型、转诊地点、抗生素使用和质子泵抑制剂使用的关系。
与私人保险相比,医疗保险患者在调整所有协变量后感染的几率为 2.04 倍(95%置信区间,1.31-3.20)。先前使用抗生素(2.70;95%置信区间,1.64-4.46)也与感染相关,但种族或民族和转诊地点则没有。医院病例中白人患者(25%比 44%)和 65 岁以上患者(39%比 56%)的比例低于全国监测统计数据预期。
医疗保险和抗生素与艰难梭菌感染相关,但没有证据表明与种族或民族相关。这一发现与全国数据不同,因为感染白人患者比非白人患者更高。此外,根据全国数据,医院病例中年龄<65 岁的比例高于预期。全国艰难梭菌感染监测统计数据可能不适用于医疗保障医院,因为这些医院通常不成比例地服务于低收入、非白人患者。