Multidrug-resistant bacterial infections in cirrhotic patients: an epidemiological study
Ruihong Zhao1, Jianke Ma1, Pengcheng Li1
1a State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine , Zhejiang University , Hangzhou , Zhejiang Province , China.
Background:
The purpose of this study is to describe the epidemiological features of bacterial infections caused by multidrug-resistant (MDR) bacteria in cirrhotic patients and their impact on mortality.
Methods:
A retrospective study of cirrhotic patients with culture-confirmed bacterial infections was performed between 2011 and 2017.
Results:
A total of 635 episodes in 563 patients with cirrhosis were included. Bacterial infections caused by MDR isolates accounted for 44.1% (280/635) of the episodes, nearly half of which were hospital acquired (48.4%). The most common MDR isolation site was the respiratory tract (36.4%, 102 episodes), followed by the abdominal cavity (35.4%, 99 episodes). Of the MDR isolates, carbapenem-resistant Enterobacteriaceae (CRE) (91 episodes) were the most common. Patients infected with MDR bacteria had significantly higher mortality than those not infected (25.1% vs 17.4%, p = 0.025). However, this increased mortality could be largely attributed to methicillin-resistant Staphylococcus aureus (MRSA). After adjustment for age, sex, and the model for end-stage liver disease (MELD) score, only MRSA infection was an independent risk factor for 28-day mortality in the multivariable Cox proportional hazard regression model analysis (HR, 2.964, 95% CI (1.175-7.478), p = 0.021).
Conclusions:
MDR bacterial infections, especially CRE, have become frequent in patients with cirrhosis in recent years, with MRSA infections significantly increasing short-term mortality.
Related Concept Videos
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Introduction to Epidemiology
Causality in Epidemiology
Bacterial Transformation
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...


