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中国防痨杂志 ›› 2025, Vol. 47 ›› Issue (10): 1268-1278.doi: 10.19982/j.issn.1000-6621.20250237

• 论著 • 上一篇    下一篇

2010—2023年中国肺结核合并症患者治疗依从性及治疗结局影响因素分析

严天心1, 马文斌2, 王嘉1, 李涛1, 张慧1, 赵雁林1(), 屈燕1(), 罗小峰2()   

  1. 1中国疾病预防控制中心(中国预防医学科学院)结核病预防控制中心,北京 102206
    2兰州大学公共卫生学院,兰州 730000
  • 收稿日期:2025-06-03 出版日期:2025-10-10 发布日期:2025-09-29
  • 通信作者: 赵雁林,Email: zhaoyl@chinacdc.cn;屈燕,Email: quyan@chinacdc.cn;罗小峰,Email: luoxiaof@lzu.edu.cn
  • 作者简介:注:马文斌与严天心对本研究具有同等贡献,为并列第一作者
  • 基金资助:
    结核病预防控制项目(2428)

Analysis of the factors influencing adherence and treatment outcomes among pulmonary tuberculosis patients with comorbidities in China from 2010 to 2023

Yan Tianxin1, Ma Wenbin2, Wang Jia1, Li Tao1, Zhang Hui1, Zhao Yanlin1(), Qu Yan1(), Luo Xiaofeng2()   

  1. 1National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China
    2School of Public Health, Lanzhou University, Lanzhou 730000, China
  • Received:2025-06-03 Online:2025-10-10 Published:2025-09-29
  • Contact: Zhao Yanlin, Email: zhaoyl@chinacdc.cn; Qu Yan, Email: quyan@chinacdc.cn; Luo Xiaofeng, Email: luoxiaof@lzu.edu.cn
  • Supported by:
    National Tuberculosis Control and Prevention Programme(2428)

摘要:

目的: 分析2010—2023年中国肺结核合并症患者的治疗依从性、治疗结局及相关影响因素,为进一步提升肺结核合并症患者治疗效果提供科学依据。方法: 采用回顾性研究方法,从“中国疾病预防控制信息系统”子系统“结核病管理信息系统”中提取2010—2023年登记的合并单一疾病的肺结核患者病案信息,剔除重复登记、无完整治疗记录、菌种鉴定为非结核分枝杆菌感染、药物敏感性试验结果为非利福平耐药的耐药肺结核患者,最终纳入339411例肺结核合并症患者,计算其不规则服药和不良治疗结局的发生率,并采用多因素logistic回归模型分析影响患者治疗依从性和治疗结局的相关因素。结果: 2010—2023年,中国肺结核合并症患者的不规则服药率为4.26%(14463/339411),不良治疗结局发生率为9.86%(33456/339411)。多因素logistic回归分析显示,男性、职业为商业及服务业和其他职业、被动就诊、合并HIV/AIDS或其他疾病、复治、病原学检测阳性、自服药,以及耐药结核病均是影响肺结核合并症患者治疗依从性的独立危险因素[OR(95%CI)值分别为1.153(1.107~1.201)、1.269(1.102~1.455)、1.135(1.086~1.186)、1.214(1.166~1.265)、1.568(1.419~1.730)、1.173(1.130~1.217)、1.261(1.198~1.327)、1.138(1.096~1.181)、1.440(1.390~1.492)、4.100(3.811~4.409)];男性、被动就诊、复治、病原学检测阳性、自服药、未使用固定剂量复合剂(FDC)、耐药结核病及治疗依从性低均是肺结核合并症患者发生不良治疗结局的独立危险因素[OR(95%CI)值分别为1.264(1.224~1.306)、1.076(1.043~1.111)、1.128(1.083~1.173)、1.585(1.531~1.642)、1.057(1.027~1.088)、1.046(1.017~1.075)、23.811(22.341~25.385)、28.468(27.329~29.659)]。结论: 中国肺结核合并症患者的治疗依从性和治疗结局受到合并相关疾病的明显影响,应结合影响肺结核合并症患者治疗依从性和治疗结局的人群特征与合并症类型,制定有针对性的措施,强化男性、公共服务人员患者的主动发现,加强复治、病原学阳性和耐药合并症患者的精准治疗管理,推广方便智能的服药管理工具,进一步促进患者完成全程服药治疗、降低不良治疗结局、提高治疗康复水平。

关键词: 结核,肺, 合并症, 治疗依从性, 治疗结局

Abstract:

Objective: To analyse the treatment adherence, treatment outcomes, and associated influencing factors among pulmonary tuberculosis (PTB) patients with comorbidities in China from 2010 to 2023 and provide a scientific basis for improving treatment effectiveness in these patients. Methods: Using a retrospective research method, medical records of PTB patients with single comorbidity registered between 2010 and 2023 was extracted from “China Tuberculosis Information Management System” subsystem of the “China Center for Disease Control and Prevention Information System”. The study excluded patients with duplicate registrations, incomplete treatment records, mycobacterial species identification indicating non-tuberculosis mycobacterial infections, and drug-resistant PTB cases other than rifampin resistance. Finally, a cohort of 339411 PTB patients with comorbidities was obtained. The incidence rates of non-adherence and unfavorable treatment outcomes were calculated. Multivariable logistic regression models were conducted to identify factors associated with treatment adherence and treatment outcomes. Results: The incidence rate of irregular medication adherence among PTB patients with comorbidities was 4.26% (14463/339411), while the incidence rate of unfavorable treatment outcomes was 9.86% (33456/339411). Multivariable logistic regression models revealed that male gender, occupations in commercial and other services, and other unspecified categories, passive healthcare-seeking behavior, co-infection with HIV/AIDS or other comorbidities, re-treatment status, bacteriologically positive results, self-medication practices, and the diagnosis of drug-resistant PTB were all independent risk factors influencing treatment non-adherence (odds ratio (OR) with 95% confidence intervals (CI): 1.153 (1.107-1.201), 1.269 (1.102-1.455), 1.135 (1.086-1.186), 1.214 (1.166-1.265), 1.568 (1.419-1.730), 1.173 (1.130-1.217), 1.261 (1.198-1.327), 1.138 (1.096-1.181), 1.440 (1.390-1.492), and 4.100 (3.811-4.409), respectively). Additionally, male gender, passive healthcare-seeking behavior, re-treatment status, positive etiological detection, self-medication, non-use of fixed-dose combination (FDC) drugs, a diagnosis of drug-resistant PTB, and low treatment adherence were identified as independent risk factors for unfavorable treatment outcomes (OR (95%CI): 1.264 (1.224-1.306), 1.076 (1.043-1.111), 1.128 (1.083-1.173), 1.585 (1.531-1.642), 1.057 (1.027-1.088), 1.046 (1.017-1.075), 23.811 (22.341-25.385), and 28.468 (27.329-29.659), respectively). Conclusion: The treatment adherence and treatment outcomes of patients with PTB complicated by other diseases in China are influenced by the co-existing related diseases, targeted measures should be developed by integrating an analysis of population characteristics and the types of comorbidities that influence treatment adherence and outcomes among PTB patients with comorbid conditions. Efforts should be strengthened to actively detect cases of male and public service personnel, and enhance precise treatment management for re-treated, bacteriologically positive patients, and individuals with drug resistant comorbidities. To encourage patients to complete their full course of treatment, such that it reduces unfavorable treatment outcomes and improve overall treatment efficacy and rehabilitation levels, convenient and intelligent medication management tools should be promoted.

Key words: Tuberculosis, pulmonary, Comorbidity, Treatment adherence, Treatment outcomes

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