Evidence map›Paper›PMID 40671759›Full record

ArticleInfection and drug resistance2025

Trends in Drug Resistance and Epidemiological Patterns of Tuberculosis in Elderly Patients in Wenzhou, China (2014-2023).

Lianpeng Wu, Xiyue Cai, Shuya Xu, Xuefeng Lin, Tingting Peng, Xiangao Jiang

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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Lianpeng WuDepartment of Clinical Laboratory Medicine, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People's Republic of China.ORCID 0000-0002-7537-6622
Xiyue CaiMedical Management Office, Wenzhou Municipal Public Hospital Management Center, Wenzhou, Zhejiang, 325000, People's Republic of China.
Shuya XuDepartment of Tuberculosis Clinic, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People's Republic of China.
Xuefeng LinDepartment of Clinical Laboratory Medicine, Yueqing People's Hospital, Wenzhou, Zhejiang, 325600, People's Republic of China.
Tingting PengDepartment of Clinical Laboratory Medicine, The Ding Li Clinical College of Wenzhou Medical University, Wenzhou Central Hospital, Wenzhou, Zhejiang, 325000, People's Republic of China.
Xiangao JiangKey Laboratory of Diagnosis and Treatment of New and Recurrent Infectious Diseases of Wenzhou, Wenzhou Sixth People's Hospital, Wenzhou, Zhejiang, 325000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to elucidate the epidemiological features, drug resistance patterns, and temporal trends among elderly tuberculosis (TB) patients in Wenzhou, China, from 2014 to 2023, providing insights for targeted TB control strategies. Patients and Methods: Data were extracted from 10,993 TB patients registered in the Laboratory Information System of Wenzhou Central Hospital and the Tuberculosis Information Management System of the Chinese Center for Disease Control and Prevention. Patients were divided into elderly (≥60 years, n=2,727) and non-elderly (<60 years, n=8,266) groups. Sociodemographic, clinical, and phenotypic drug susceptibility testing data were analyzed using chi-square tests. Temporal trends in drug resistance were assessed via Joinpoint regression to estimate annual percentage changes (APC). Results: The elderly group had higher proportions of males (79.65% vs 69.66%), Han ethnicity (99.63% vs 96.35%), and lesions involving ≥3 lung fields (42.35% vs 32.62%), but lower proportions of migrants (20.32% vs 51.20%), urban residents (41.03% vs 53.41%), employed individuals (8.98% vs 32.91%), and pulmonary cavitation (46.75% vs 53.54%). The overall drug-resistant tuberculosis (DR-TB) rate was similar between the elderly and non-elderly groups (20.76% vs 20.30%). However, the elderly group had lower rates of streptomycin (SM) resistance (11.07% vs 12.62%), rifampicin (RFP) resistance (6.20% vs 8.06%), and multidrug-resistant tuberculosis (MDR-TB) (5.39% vs 7.10%). From 2014 to 2023, the overall DR-TB rate among elderly patients decreased from 31.58% to 20.64% (-34.63%), with a significant decline in MDR-TB (APC of -9.9%). Resistance to isoniazid (INH) decreased from 2016 to 2023 (APC -4.0%), and RFP resistance decreased from 2014 to 2021 (APC -10.7%). Significant decreases were also observed among migrant populations (APC -10.1%, 2014-2020), urban residents (APC -8.7%, 2014-2021), and unemployed individuals (APC -4.3%, 2014-2023). Conclusion: Our study revealed that drug resistance among elderly TB patients in Wenzhou has decreased over the past decade, particularly for MDR-TB and key first-line drugs. However, the elderly group still exhibited distinct epidemiological and drug resistance profiles compared to younger patients. These findings offer clear suggestions for public health policy-making and clinical practice, which can help further reduce the burden of tuberculosis and drug resistance in the elderly population.

Indexed as

drug resistanceelderly populationepidemiologyjoinpoint regression modeltuberculosis

Identifiers

PMID40671759
PMCPMC12266078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.