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ORIGINAL RESEARCH article
Front. Med.
Sec. Infectious Diseases: Pathogenesis and Therapy
Volume 12 - 2025 |
doi: 10.3389/fmed.2025.1516207
Risk Factors for Multidrug Resistance in Pulmonary Tuberculosis Patients with Diabetes Mellitus
Provisionally accepted- 1 Department of Clinical Laboratory Medicine, Wenzhou Central Hospital, Wenzhou, China
- 2 Department of Infectious Diseases, Wenzhou Central Hospital, Wenzhou, Zhejiang Province, China
Objective: This study seeks to examine the risk factors and predictive models associated with multidrug resistance (MDR) in patients with pulmonary tuberculosis (PTB) and diabetes mellitus (DM), as well as in patients without a history of TB treatment and those with a history of TB treatment.Methods: A cohort of 489 patients diagnosed with PTB and DM were admitted to Wenzhou Central Hospital from January 2021 to December 2023. Logistic regression analysis was conducted to identify the risk factors associated with multidrug-resistant tuberculosis (MDR-TB). Receiver operating characteristic (ROC) curves were utilized to evaluate the predictive accuracy of the MDR-TB model.Results: History of TB treatment, smoking history, and Hb1Ac were identified as independent risk factors for MDR in patients with PTB and DM (P < 0.05). The area under the ROC curve (AUC) of the predictive model for MDR was 0.809 (95% CI: 0.753-0.865). Specifically, smoking history and Hb1Ac were found to be independent risk factors for MDR in patients with PTB and DM who did not have a history of TB treatment, with an AUC of 0.771 (95% CI: 0.699-0.844). Furthermore, residence and the presence of pulmonary cavity were identified as independent risk factors for MDR in patients with PTB and DM who had a history of TB treatment, with an AUC of 0.802 (95% CI: 0.680-0.923).The predictive model demonstrated significant value in predicting the risk of MDR in patients with PTB and DM.
Keywords: Tuberculosis, Diabetes Mellitus, Multidrug-resistant tuberculosis, Risk factors, Prediction model
Received: 24 Oct 2024; Accepted: 17 Jan 2025.
Copyright: © 2025 Wu, Chen, Xia and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Dandan Xia, Department of Clinical Laboratory Medicine, Wenzhou Central Hospital, Wenzhou, China
Xiangao Jiang, Department of Infectious Diseases, Wenzhou Central Hospital, Wenzhou, 325000, Zhejiang Province, China
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