Abstract
OBJECTIVE: This study aims to analyze the characteristics of multidrug-resistant Mycobacterium tuberculosis isolates and to identify the factors influencing multidrug resistance in the Nanning area. METHODS: This study retrospectively analyzed all sputum specimens from pulmonary tuberculosis patients collected at the Fourth People's Hospital of Nanning from January 2021 to June 2022, including a total of 337 strains of Mycobacterium tuberculosis. Univariate analysis and binary logistics regression analysis were used to identify factors influencing multidrug resistance. A predictive model was constructed with SPSS software, and the predictive value of the model was evaluated with the Receiver Operating Characteristic (ROC) curve. RESULTS: The results of binary logistics regression analysis indicated that treatment status and high-risk population were independent factors influencing multidrug resistance (p < 0.05). According to the logistics regression analysis results, the model was constructed as follows: Logit(P) = -1.874 + (1.187X(1)) + (0.837X(2)). ROC analysis showed that the area under the curve (AUC) of the model was 0.936. In the validation group, the AUC was 0.853. CONCLUSION: This study results provide a basis for precise prevention and control of multidrug-resistant tuberculosis bacteria in Nanning, help reduce the risk of transmission, and ensure public health safety of local and surrounding populations.