Tartof Sara Y, Rieg Gunter K, Wei Rong, Tseng Hung Fu, Jacobsen Steven J, Yu Kalvin C
1Department of Research and Evaluation,Kaiser Permanente Southern California,Pasadena,California.
2Department of Infectious Diseases,Southern California Permanente Medical Group,Harbor City,California.
Infect Control Hosp Epidemiol. 2015 Dec;36(12):1409-16. doi: 10.1017/ice.2015.220. Epub 2015 Sep 21.
Limitations in sample size, overly inclusive antibiotic classes, lack of adjustment of key risk variables, and inadequate assessment of cases contribute to widely ranging estimates of risk factors for Clostridium difficile infection (CDI).
To incorporate all key CDI risk factors in addition to 27 antibiotic classes into a single comprehensive model.
Retrospective cohort study.
Kaiser Permanente Southern California.
Members of Kaiser Permanente Southern California at least 18 years old admitted to any of its 14 hospitals from January 1, 2011, through December 31, 2012.
Hospital-acquired CDI cases were identified by polymerase chain reaction assay. Exposure to major outpatient antibiotics (10 classes) and those administered during inpatient stays (27 classes) was assessed. Age, sex, self-identified race/ethnicity, Charlson Comorbidity Score, previous hospitalization, transfer from a skilled nursing facility, number of different antibiotic classes, statin use, and proton pump inhibitor use were also assessed. Poisson regression estimated adjusted risk of CDI.
A total of 401,234 patients with 2,638 cases of incident CDI (0.7%) were detected. The final model demonstrated highest CDI risk associated with increasing age, exposure to multiple antibiotic classes, and skilled nursing facility transfer. Factors conferring the most reduced CDI risk were inpatient exposure to tetracyclines and first-generation cephalosporins, and outpatient macrolides. CONCLUSIONS Although type and aggregate antibiotic exposure are important, the factors that increase the likelihood of environmental spore acquisition should not be underestimated. Operationally, our findings have implications for antibiotic stewardship efforts and can inform empirical and culture-driven treatment approaches.
样本量的限制、抗生素类别过于宽泛、关键风险变量未作调整以及病例评估不充分,导致艰难梭菌感染(CDI)风险因素的估计范围差异很大。
将除27种抗生素类别外的所有关键CDI风险因素纳入一个单一的综合模型。
回顾性队列研究。
南加州凯撒医疗机构。
2011年1月1日至2012年12月31日期间入住南加州凯撒医疗机构旗下14家医院中任何一家、年龄至少18岁的成员。
通过聚合酶链反应测定法确定医院获得性CDI病例。评估主要门诊抗生素(10类)和住院期间使用的抗生素(27类)的暴露情况。还评估了年龄、性别、自我认定的种族/族裔、查尔森合并症评分、既往住院史、从专业护理机构转入、不同抗生素类别的数量、他汀类药物使用情况和质子泵抑制剂使用情况。采用泊松回归估计CDI的调整风险。
共检测到401,234例患者,其中2,638例发生CDI(0.7%)。最终模型显示,CDI风险最高与年龄增长、接触多种抗生素类别以及从专业护理机构转入有关。降低CDI风险最显著的因素是住院期间使用四环素和第一代头孢菌素,以及门诊使用大环内酯类药物。结论尽管抗生素的类型和总体暴露很重要,但增加环境孢子获取可能性的因素不应被低估。在实际操作中,我们的研究结果对抗生素管理工作具有启示意义,并可为经验性和基于培养的治疗方法提供参考。