Bacterial distribution and drug resistance patterns of urinary tract infection in tuberculosis patients: a 5-year retrospective study.

Jian Shui, Aichun Tan, Jianhua Pan, Guomin Shi

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In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Jian ShuiDepartment of Clinical Laboratory, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.

Aichun TanDepartment of Clinical Laboratory, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.

Jianhua PanDepartment of Clinical Laboratory, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.

Guomin ShiDepartment of Clinical Laboratory, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the bacterial distribution and drug resistance profile of urinary tract infections (UTIs) in tuberculosis patients, and to provide evidence-based support for the rational clinical use of antimicrobial agents in this specific patient population. Methods: A retrospective analysis was performed on bacterial identification and antimicrobial susceptibility test results of tuberculosis patients complicated with UTIs in our hospital from January 2020 to December 2024. Data were processed via WHONET 5.6 and SPSS 21.0. Results: A total of 1,151 strains were isolated, including 878 Gram-negative strains (76.3%, mainly Conclusion: Continuous monitoring of bacterial distribution and drug resistance in tuberculosis patients with UTIs is essential to improve diagnosis and treatment accuracy and guide rational clinical medication use.

Indexed as

antimicrobial agentsbacterial distributiondrug resistancetuberculosisurinary tract infections

Identifiers

PMID42039817

DOI10.3389/fmicb.2026.1749129

PMCPMC13102592

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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.