Construction of a Risk Prediction Model for Subsequent Bloodstream Infection in Intestinal Carriers of Carbapenem-Resistant Enterobacteriaceae: A Retrospective Study in Hematology Department and Intensive Care Unit

Yue Wang,1 Qun Lin,1 Zhongju Chen,1 Hongyan Hou,1 Na Shen,1 Zhen Wang,2 Feng Wang,1 Ziyong Sun1 1Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of China; 2Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, People’s Republic of ChinaCorrespondence: Ziyong SunDepartment of Laboratory Medicine, Tongji Hospital, No. 1095 Jiefang Avenue, Wuhan, Hubei Province, 430030, People’s Republic of ChinaEmail zysun@tjh.tjmu.edu.cnBackground: To establish a risk prediction model for carbapenem-resistant Enterobacteriaceae (CRE) bloodstream infection (BSI) in intestinal carriers.Methods: CRE screenings were performed every two weeks in hematology department and intensive care unit (ICU). Patients with positive CRE rectal swab screening were identified using electronic medical records from 15 May 2018 to 31 December 2019. Intestinal carriers who developed CRE BSI were compared with those who did not develop CRE infection. A 1:1 matched case-control study was conducted. The control group was selected by stratified random sampling based on the department to ensure that all the departments were represented. Univariate logistic analysis, multivariate logistic analysis and stepwise regression analysis were carried on a variety of patient factors and microbial factors.Results: A total of 42 cases were included. Multivariate analysis showed that gastrointestinal injury (OR 86.819, 95% CI 2.584– 2916.592, P=0.013), tigecycline exposure (OR 14.991, 95% CI 1.816– 123.737, P=0.012) and carbapenem resistance score (OR 11.236, 95% CI 1.811– 69.700, P=0.009) were independent risk factors for CRE BSI in intestinal carriers (P< 0.050). They were included in the Logistic regression model to predict BSI. According to receiver operating characteristic (ROC) curve analysis, the cut-off value of the model was 0.722, and the sensitivity, specificity and area under the curve (AUC) were 90.5%, 85.7% and 0.921, respectively.Conclusion: The risk prediction model based on gastrointestinal injury, tigecycline exposure and carbapenem resistance score of colonizing strain can effectively predict CRE BSI in patients with CRE colonization. Early CRE screening and detection for inpatients in key departments may promote early warning and reduce the risk of nosocomial infection of CRE.Keywords: carbapenem-resistant Enterobacteriaceae, colonization, bloodstream infection, risk factor, risk prediction model