Chinese Health Care · Apr 2026
Analysis and Study on the Impact of Multi Drug Resistant Bacteria Detection on Survival Time in Long term Bedridden Elderly Patients in Traditional Chinese Medicine Diagnosis and Treatment Institutions
By SU Z, XIE J, LI M et al.
ABSTRACT: OBJECTIVE: To investigate the impact of the detection of multidrug-resistant bacteria (MDRO) on survival time in long-term bedridden elderly patients in traditional Chinese medicine diagnosis and treatment institutions. METHODS: A total of 300 long-term bedridden elderly patients admitted to the Department of Geriatrics at Guangyuan Hospital of Traditional Chinese Medicine from January 2020 to December 2024 were retrospectively selected as study subjects and divided into an infection group (150 patients) and a non-infection group (150 patients) according to whether MDRO were detected. Patients' clinical data were collected, survival curves were plotted using the Kaplan-Meier method, and Cox regression and random forest models were used to analyze the impact of MDRO infection on survival time. RESULTS: Carbapenem-resistant Enterobacteriaceae were the predominant strains causing MDRO infections, accounting for 36.12%. The median survival time in the infection group was [98 (85, 112)] d, lower than that in the non-infection group at [215 (198, 230)] d, and the difference was statistically significant (P<0.001). Cox proportional hazards regression analysis showed that MDRO infection, advanced age, tracheal intubation, elevated procalcitonin, and decreased albumin were independent risk factors affecting survival time in long-term bedridden elderly patients, with all differences being statistically significant (P<0.05). The predictive accuracy of the random forest model was 86.33%, and its area under the receiver operating characteristic (ROC) curve (AUC) was higher than that of the Cox regression model. CONCLUSIONS: MDRO infection shortens survival time in long-term bedridden elderly patients in traditional Chinese medicine diagnosis and treatment institutions, and advanced age, tracheal intubation, elevated procalcitonin, and decreased albumin are important independent risk factors. In clinical practice, the random forest model should be used to precisely identify high-risk patients and strengthen MDRO screening, prevention, and control.