Analysis of Factors Associated with TyG-BMI in Drug-Resistant Pulmonary Tuberculosis

Issue  JCB, Volume 30, Number 3, 2025  Article 

Li Yuanpei
Department of Clinical Medicine, North Sichuan Medical College
Xie Li
Department of Clinical Medicine, North Sichuan Medical College
Wang Lu
Department of Infectious Diseases, Suining Central Hospital
Li Yi
Department of Infectious Diseases, Suining Central Hospital
Zhao Chuan
Department of Infectious Diseases, Suining Central Hospital

Abstract:

Objective: To analyze the risk factors of drug - resistant pulmonary tuberculosis and explore the relationship between triglyceride - glucose - body mass index (TyG-BMI) and drug - resistant pulmonary tuberculosis (DR-PTB). Methods: A retrospective study was conducted on 295 pulmonary tuberculosis patients admitted to Suining Central Hospital from June 2019 to June 2024. According to their sensitivity to tuberculosis drugs, they were divided into a drug - sensitive group (n=206) and a drug - resistant pulmonary tuberculosis group (n=89), among which the multi - drug - resistant pulmonary tuberculosis group had 60 cases. General data were collected and TyG - BMI was calculated, and the differences in general data were compared between the drug - sensitive group and the drug - resistant pulmonary tuberculosis group. All enrolled patients were divided into four groups according to the quartiles of TyG-BMI. Logistic regression analysis was used to evaluate the independent predictive value of TyG-BMI, and a model was established to control confounding factors. Restricted cubic splines were used to explore the nonlinear relationship between TyG-BMI and drug - resistant pulmonary tuberculosis group and multi - drug - resistant pulmonary tuberculosis (MDR-PTB) group. Two - segment logistic regression analyses on both sides of the inflection point were constructed, and stratified analysis was used to evaluate whether there was an interaction among subgroups. Results: General data analysis showed that age, duration of tuberculosis, retreatment status, fibrinogen, pulmonary cavity formation, and serum creatinine were statistically significant between the drug - sensitive group and the drug - resistant pulmonary tuberculosis group (P<0.05), and there were no statistically significant differences in the remaining general data. Through restricted cubic splines, it was found that there was a U - shaped association between TyG-BMI and DR - PTB, and an L - shaped association between TyG-BMI and MDR-PTB. The inflection points of DR-PTB and MDR-PTB were determined to be 177.28 and 161.14, respectively (LRT P-value<0.05). Stratified analysis results showed that there was no significant interaction between TyG - BMI and stratified variables. Conclusion: TyG - BMI can be used as a risk factor for drug - resistant pulmonary tuberculosis and multi - drug - resistant pulmonary tuberculosis. Measuring TyG - BMI may help to assess the risk of drug resistance in the pulmonary tuberculosis population.

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