Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials

被引:11
作者
Baggs, James [1 ]
Yousey-Hindes, Kimberly [2 ]
Ashley, Elizabeth Dodds [3 ]
Meek, James [2 ]
Dumyati, Ghinwa [3 ]
Cohen, Jessica [1 ,4 ]
Wise, Matthew E. [1 ]
McDonald, L. Clifford [1 ]
Lessa, Fernanda C. [1 ]
机构
[1] Ctr Dis Control & Prevent, Div Healthcare Qual Promot, Atlanta, GA USA
[2] Yale Univ, Sch Publ Hlth, Connecticut Emerging Infect Program, New Haven, CT USA
[3] Univ Rochester, Med Ctr, Rochester, NY 14642 USA
[4] Atlanta Res & Educ Fdn, Atlanta, GA USA
关键词
Clostridium difficile infection; Administrative data; Health care-associated infections; Anti-bacterial agents; Vaccines; PREDICTION MODEL; UNITED-STATES; VALIDATION; ONSET;
D O I
10.1016/j.vaccine.2015.09.078
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background: Efforts to develop a Clostridium difficile vaccine are underway; identification of patients at risk for C. difficile infection (CDI) is critical to inform vaccine trials. We identified groups at high risk of CDI >= 28 days after hospital discharge. Methods: Hospital discharge data and pharmacy data from two large academic centers, in New York and Connecticut, were linked to active population-based CDI surveillance data from the Emerging Infections Program (EIP). Adult residents of the EIP surveillance area were included if they had an inpatient stay at a study hospital without prior history of CDI. The primary outcome was CDI by either toxin or molecular assay >= 28 days after an index hospitalization. Important predictors of CDI >= 28 days post discharge were initially identified through a Cox proportional hazards model (stepwise backward selection) using a derivation cohort; final model parameters were used to develop a risk score evaluated in the validation cohort. Results: Of the 35,186 index hospitalizations, 288 (0.82%) had CDI >= 28 days post discharge. After parameter selection, age, number of hospitalizations in the prior 90 days, admission diagnosis, and the use of 3rd/4th generation cephalosporin, clindamycin or fluoroquinolone antibiotic classes remained in the model. Using the validation cohort, the risk score was predictive (p < 0.001) with a c-score of 0.75. Based on the distribution of scores in the derivation cohort, we divided the patients into low and high risk groups. In the high risk group, 1.6% experienced CDI >= 28 days post discharge compared to 0.3% among our low risk group. Conclusions: Our study identified specific parameters for a risk score that can be applied at discharge to identify a patient population whose risk of CDI >= 28 days following an acute care hospitalization was 5 times greater than other patients. Published by Elsevier Ltd.
引用
收藏
页码:6241 / 6249
页数:9
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