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The Effect of Diabetes Mellitus on Tuberculosis in Eastern China: A Decision-tree Analysis Based on a Real-world Study

Overview
Journal J Diabetes
Specialty Endocrinology
Date 2023 Jul 12
PMID 37434342
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Abstract

Objectives: The public health system faces major challenges due to the double burden of diabetes mellitus (DM) and tuberculosis (TB) in China. We aimed to investigate the prevalence and impact of diabetes on patients with TB.

Methods: Stratified cluster sampling was used to select 13 counties as study sites in the Zhejiang province. Patients who visited designated TB hospitals in these areas participated in this study between 1 January 2017 and 28 February 2019. Multiple logistic regression models were performed to investigate the association between DM and bacteriological and imaging results. A decision tree was used to predict the bacteriology and imaging results under the influence of DM.

Results: Of 5920 patients with newly diagnosed pulmonary tuberculosis, 643 (12.16%) had DM. Patients with pulmonary TB and DM were more likely to have pulmonary cavities (adjusted odds ratio [aOR], 2.81; 95% confidence intervals [95% CI]: 2.35-3.37) and higher rates of positive bacteriological tests (aOR, 2.32; 95% CI:1.87-2.87). Decision-tree analysis showed similar results.

Conclusions: Concurrence of DM and pulmonary TB makes patients more likely to have positive bacteriological results and pulmonary cavities. Therefore, appropriate measures are necessary to promptly identify and manage patients with TB and DM.

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The effect of diabetes mellitus on tuberculosis in eastern China: A decision-tree analysis based on a real-world study.

Ling Y, Chen X, Zhou M, Zhang M, Luo D, Wang W J Diabetes. 2023; 15(11):920-930.

PMID: 37434342 PMC: 10667642. DOI: 10.1111/1753-0407.13444.

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