{"title":"Risk factors for multidrug resistance in pulmonary tuberculosis patients with diabetes mellitus.","authors":"Lianpeng Wu, Na Chen, Dandan Xia, Xiangao Jiang","doi":"10.3389/fmed.2025.1516207","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to investigate the risk factors for multidrug resistance (MDR) in patients with pulmonary tuberculosis (PTB) and diabetes mellitus (DM), including those with and without prior TB treatment.</p><p><strong>Methods: </strong>A retrospective study was conducted from 1 January 2021, to 31 December 2023, at Wenzhou Central Hospital. Patients diagnosed with PTB and DM were included, with multidrug-resistant tuberculosis (MDR-TB) defined as resistance to at least rifampicin and isoniazid. Data on demographics, clinical symptoms, laboratory tests, and treatment history were collected. Multivariate logistic regression analysis was used to identify independent risk factors for MDR, and receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of these factors.</p><p><strong>Results: </strong>A total of 318 patients were analyzed, with 253 in the non-MDR group and 65 in the MDR group. Significant independent predictors of MDR included a history of TB treatment, smoking, and elevated hemoglobin A1c (HbA1c) levels. ROC curve analysis showed that the combination of TB treatment history, smoking history, and HbA1c levels had an area under the curve (AUC) of 0.809, with 64.62% sensitivity and 82.61% specificity. In patients without prior TB treatment, smoking history and HbA1c were identified as independent risk factors, with an AUC of 0.771 for their combination. For patients with prior TB treatment, place of residence and pulmonary cavity were independent predictors, with an AUC of 0.802 for their combination.</p><p><strong>Conclusion: </strong>This study highlights the importance of smoking history, HbA1c levels, place of residence, and pulmonary cavity as risk factors for MDR in PTB and DM patients. Early identification of these risk factors can aid in the timely diagnosis and treatment of MDR-TB, potentially reducing its burden. Further research is needed to develop targeted interventions based on these findings.</p>","PeriodicalId":12488,"journal":{"name":"Frontiers in Medicine","volume":"12 ","pages":"1516207"},"PeriodicalIF":3.1000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11825338/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fmed.2025.1516207","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aimed to investigate the risk factors for multidrug resistance (MDR) in patients with pulmonary tuberculosis (PTB) and diabetes mellitus (DM), including those with and without prior TB treatment.
Methods: A retrospective study was conducted from 1 January 2021, to 31 December 2023, at Wenzhou Central Hospital. Patients diagnosed with PTB and DM were included, with multidrug-resistant tuberculosis (MDR-TB) defined as resistance to at least rifampicin and isoniazid. Data on demographics, clinical symptoms, laboratory tests, and treatment history were collected. Multivariate logistic regression analysis was used to identify independent risk factors for MDR, and receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of these factors.
Results: A total of 318 patients were analyzed, with 253 in the non-MDR group and 65 in the MDR group. Significant independent predictors of MDR included a history of TB treatment, smoking, and elevated hemoglobin A1c (HbA1c) levels. ROC curve analysis showed that the combination of TB treatment history, smoking history, and HbA1c levels had an area under the curve (AUC) of 0.809, with 64.62% sensitivity and 82.61% specificity. In patients without prior TB treatment, smoking history and HbA1c were identified as independent risk factors, with an AUC of 0.771 for their combination. For patients with prior TB treatment, place of residence and pulmonary cavity were independent predictors, with an AUC of 0.802 for their combination.
Conclusion: This study highlights the importance of smoking history, HbA1c levels, place of residence, and pulmonary cavity as risk factors for MDR in PTB and DM patients. Early identification of these risk factors can aid in the timely diagnosis and treatment of MDR-TB, potentially reducing its burden. Further research is needed to develop targeted interventions based on these findings.
期刊介绍:
Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate
- the use of patient-reported outcomes under real world conditions
- the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines
- the scientific bases for guidelines and decisions from regulatory authorities
- access to medicinal products and medical devices worldwide
- addressing the grand health challenges around the world