中国全科医学 ›› 2026, Vol. 29 ›› Issue (05): 606-611.DOI: 10.12114/j.issn.1007-9572.2024.0678

• 论著 • 上一篇    下一篇

结核性支气管扩张症患者转归情况及其影响因素研究

汪雪1, 杨程茗1, 王子云1, 周忠1,2,*()   

  1. 1.561113 贵州省贵安新区,贵州医科大学公共卫生与健康学院 环境污染与疾病监控教育部重点实验室
    2.550001 贵州省贵阳市公共卫生救治中心呼吸与危重症科
  • 收稿日期:2024-12-10 修回日期:2025-03-13 出版日期:2026-02-15 发布日期:2026-01-05
  • 通讯作者: 周忠

  • 作者贡献:

    汪雪提出主要研究目标,负责研究的构思与设计,研究的实施,统计学处理,图、表的绘制与展示,撰写论文;汪雪、杨程茗进行数据的收集与整理;王子云、周忠进行论文的修订;周忠负责文章的质量控制与审查,对文章整体负责,监督管理。

  • 基金资助:
    贵阳市科技局计划项目(筑科合同〔2022〕4-9号)

Analysis on Prognosis and Influencing Factors in Patients with Post-tuberculosis Bronchiectasis

WANG Xue1, YANG Chengming1, WANG Ziyun1, ZHOU Zhong1,2,*()   

  1. 1. School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guian New Area 561113, China
    2. Department of Respiratory and Critical Care, Guiyang Medical Center for Public Health, Guiyang 550001, China
  • Received:2024-12-10 Revised:2025-03-13 Published:2026-02-15 Online:2026-01-05
  • Contact: ZHOU Zhong

摘要: 背景 结核性支气管扩张症是结核病的重要后遗症之一,目前关于结核性支气管扩张症患者预后的具体影响因素尚未十分明确。 目的 了解结核性支气管扩张症患者转归情况及影响因素,为改善患者预后提供科学依据。 方法 选取2023年4月—2024年4月在贵阳市公共卫生救治中心住院的结核性支气管扩张症患者337例,对其出院后6个月的转归情况进行电话随访,并将其分为转归良好和转归不良。自制资料采集表,通过查阅病历收集临床资料。使用随机森林模型和LASSO回归筛选和分析转归情况的影响因素并对其重要性进行排序。 结果 337例结核性支气管扩张症患者转归不良发生率为41.2%(139/337)。转归良好和转归不良患者年龄、文化程度、BMI、既往吸烟、第1秒用力呼气量占预计值的百分比(FEV1%pred)、肺泡灌洗、合并慢性肺源性心脏病、合并慢性阻塞性肺疾病、合并高血压、铜绿假单胞菌感染、出院后吸烟、出院后饮酒、缺乏日常运动、独居、未按医嘱服药及出院白介素6(IL-6)、出院超敏C反应蛋白(hs-CRP)水平比较,差异均有统计学意义(P<0.05)。将单因素分析中有意义的变量进行LASSO回归模型分析,共筛选出9个变量。随机森林模型结果显示,各影响因素重要性排序依次为:未按医嘱服药、出院后吸烟、缺乏日常运动、文化程度、合并慢性肺源性心脏病、出院IL-6、年龄、出院后饮酒、独居。多因素Logistic回归分析结果显示,未按医嘱服药(OR=8.394,95%CI=3.323~21.203)、出院后吸烟(OR=5.294,95%CI=2.313~12.116)、缺乏日常运动(OR=4.555,95%CI=2.206~9.406)、合并慢性肺源性心脏病(OR=4.331,95%CI=2.012~9.323)、出院IL-6(OR=1.054,95%CI=1.018~1.091)和年龄≥80岁(OR=5.246,95%CI=1.097~25.077)是结核性支气管扩张症患者转归的危险因素(P<0.05),文化程度为初等教育(OR=0.358,95%CI=0.143~0.898)和中等教育(OR=0.202,95%CI=0.074~0.554)是结核性支气管扩张症患者转归的保护因素(P<0.05)。 结论 结核性支气管扩张症患者转归不良发生率较高,未按医嘱服药、出院后吸烟、缺乏日常运动、合并慢性肺源性心脏病、出院IL-6、年龄≥80岁、文化程度是结核性支气管扩张症的重要影响因素,可根据影响因素采取针对性措施。

关键词: 结核性支气管扩张症, 转归, 影响因素, 随机森林模型

Abstract:

Background

Post-tuberculosis bronchiectasis is one of the significant sequelae of tuberculosis. At present, the specific impact on the prognosis of patients with tuberculous bronchiectasis has not been fully understood.

Objective

To understand the prognosis and influencing factors of patients with post-tuberculosis bronchiectasis and provide scientific basis for improving the prognosis of these patients.

Methods

A total of 337 patients with post-tuberculosis bronchiectasis who were hospitalized in Guiyang Public Health Treatment Center from April 2023 to April 2024 were selected. Telephone follow-up was conducted on their prognosis 6 months after discharge, and they were divided into the good prognosis group and the poor prognosis group. The random forest model and LASSO regression were used to screen and analyze the influencing factors of the prognosis and rank their importance.

Results

The incidence of poor prognosis in 337 patients with post-tuberculosis bronchiectasis was 41.2% (139/337). There were statistically significant differences in age, educational level, BMI, previous smoking, the percentage of forced expiratory volume in one second (FEV1%pred), alveolar lavage, combined chronic pulmonary heart disease, combined chronic obstructive pulmonary disease, combined hypertension, Pseudomonas aeruginosa infection, post-discharge smoking, post-discharge drinking, lack of daily exercise, living alone, non-compliance with medication as prescribed, and levels of interleukin-6 (IL-6) and high-sensitivity C-reactive protein (hs-CRP) at discharge between the two groups (P<0.05). LASSO regression model analysis was conducted on the variables with significant differences in the univariate analysis, and a total of 9 variables were selected. The results of the random forest model showed that the order of importance of each influencing factor was as follows: non-compliance with medication as prescribed, post-discharge smoking, lack of daily exercise, educational level, combined chronic pulmonary heart disease, discharge IL-6, age, post-discharge drinking, and living alone. The results of the multivariate Logistic regression analysis showed that non-compliance with medication as prescribed (OR=8.394, 95%CI=3.323-21.203), post-discharge smoking (OR=5.294, 95%CI=2.313-12.116), lack of daily exercise (OR=4.555, 95%CI=2.206-9.406), combined chronic pulmonary heart disease (OR=4.331, 95%CI=2.012-9.323), discharge IL-6 (OR=1.054, 95%CI=1.018-1.091), and age ≥ 80 years (OR=5.246, 95%CI=1.097-25.077) were risk factors for the prognosis of patients with post-tuberculosis bronchiectasis (P<0.05), while primary education (OR=0.358, 95%CI=0.143-0.898) and secondary education (OR=0.202, 95%CI=0.074-0.554) were protective factors for the prognosis of patients with post-tuberculosis bronchiectasis (P<0.05).

Conclusion

Patients with post-tuberculosis bronchiectasis have a relatively high incidence of poor prognosis. Non-compliance with medication as prescribed, smoking after discharge, lack of daily exercise, combined chronic obstructive pulmonary disease, IL-6 at discharge, age ≥80 years old, and educational level are important influencing factors for tuberculous bronchiectasis. Targeted measures can be taken based on these influencing factors.

Key words: Post-tuberculosis bronchiectasis, Prognosis, Influencing factors, Random forest model