热带病与寄生虫学

热带病与寄生虫学 ›› 2026, Vol. 24 ›› Issue (3): 172-176,封三.doi: 10.20199/j.issn.1672-2302.2026.03.008

• 防治研究 • 上一篇    下一篇

2017—2023年四川省利福平耐药肺结核患者治疗转归及影响因素分析

钟引(), 夏岚, 李运葵, 熊燕, 王丹霞, 李婷()   

  1. 四川省疾病预防控制中心， 四川成都 610041
  • 收稿日期:2026-03-26 出版日期:2026-06-20 发布日期:2026-07-31
  • 通信作者: 李婷，E-mail: 625037231@qq.com
  • 作者简介:钟引，女，硕士，主管医师，研究方向：结核病防控。E-mail: 2306571450@qq.com

The treatment outcomes and influencing factors in rifampicin-resistant pulmonary tuberculosis patients in Sichuan Province, 2017-2023

ZHONG Yin(), XIA Lan, LI Yunkui, XIONG Yan, WANG Danxia, LI Ting()   

  1. Sichuan Center for Disease Control and Prevention, Chengdu 610041, Sichuan Province, China
  • Received:2026-03-26 Online:2026-06-20 Published:2026-07-31
  • Contact: LI Ting, E-mail: 625037231@qq.com

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摘要：

目的 分析四川省利福平耐药肺结核（rifampicin-resistant pulmonary tuberculosis, RR-PTB）患者的登记治疗情况、治疗转归及影响因素。方法 从中国疾病预防控制信息系统获取2017—2023年四川省登记的RR-PTB患者信息，分析其登记和治疗转归情况，采用Joinpoint回归模型分析指标变化趋势，运用多因素logistic回归模型分析成功治疗的影响因素。结果 2017—2023年四川省共登记RR-PTB患者4 561例，登记率为0.78/10万，整体呈上升趋势（AAPC=13.760%，95%CI：4.453%~24.065%，t=3.545，P<0.05）；RR-PTB患者纳入治疗率为91.78%，总体呈上升趋势（AAPC=5.240%，95%CI：4.050%~6.368%，t=5.574，P<0.001）；RR-PTB患者成功治疗率为78.28%。多因素logistic回归分析显示，RR-PTB患者中，男性（OR=1.379，95%CI：1.142~1.665）、少数民族（OR=2.652，95%CI：1.850~3.803）、流动户籍（OR=2.056，95%CI：1.628~2.597）、川西地区（OR=2.006，95%CI：1.389~2.897）、复治（OR=1.191，95%CI：1.018~1.394）、耐多药（OR=1.278，95%CI：1.082~1.508）及准广泛/广泛耐药（OR=1.595，95%CI：1.104~2.304）等患者成功治疗率更低；15~39岁（OR=0.375，95%CI：0.190~0.743），职业为学生（OR=0.348，95%CI：0.216~0.560）或工人（OR=0.398，95%CI：0.177~0.856）等患者成功治疗率更高。结论 四川省RR-PTB登记率及纳入治疗率持续提升，但存在人群与区域差异，应针对男性、少数民族、川西地区、流动和复治患者等人群强化精准防控与全程管理，优化资源配置，持续提升规范化诊疗与管理水平。

关键词: 结核病, 利福平耐药, 治疗转归, 影响因素, 四川省

Abstract:

Objective To analyze the registration and medication status, treatment outcome and influencing factors among patients with rifampicin-resistant pulmonary tuberculosis (RR-PTB) in Sichuan Province. Methods The data of RR-PTB patients registered in Sichuan Province from 2017 to 2023 was obtained from the Chinese Disease Prevention and Control Information System, with the registration and treatment outcomes of these patients analyzed. Joinpoint regression model analysis was performed to identify the changing trends of related indicators, and multivariate logistic regression analysis was applied to determine the influencing factors of successful treatment. Results From 2017 to 2023, a total of 4 561 RR-PTB patients were registered in Sichuan Province, with a registration rate of 0.78/100 000. The registration rate showed an overall upward trend (AAPC=13.760%, 95%CI: 4.453% to 24.065%, t=3.545, P<0.05); The enrollment rate of RR-PTB patients in treatment was 91.78%, which presented an overall increasing trend (AAPC=5.240%, 95%CI: 4.050% to 6.368%, t=5.574, P<0.001). The successful treatment rate of RR-PTB patients was 78.28%. Multivariate logistic regression analysis showed that RR-PTB patients with characteristics of male sex(OR=1.379, 95%CI: 1.142 to 1.665), ethnic minority status (OR=2.652, 95%CI:1.850 to 3.803), migrant household registration (OR=2.056, 95%CI: 1.628 to 2.597), residence in western Sichuan (OR=2.006, 95%CI: 1.389 to 2.897), retreatment history (OR=1.191, 95%CI: 1.018 to 1.394), multidrug resistance (OR=1.278, 95%CI: 1.082 to 1.508), and quasi-extensive/extensive resistance (OR=1.595, 95%CI: 1.104 to 2.304) had a lower treatment success rate. Patients with PTB who were in the 15-39 age group (OR=0.375, 95%CI: 0.190 to 0.743), whose occupations were student (OR=0.348, 95%CI: 0.216 to 0.560) or worker (OR=0.398, 95%CI: 0.177 to 0.856), had a higher treatment success rate. Conclusion The registration rate and treatment enrollment rate of RR-PTB patients in Sichuan Province have continued to increase, yet there are differences in population and regions. These findings suggest that it is necessary to strengthen precise prevention and full-course management for male, ethnic minorities, floating population, retreated patients and those residing in western Sichuan, as well as to optimize resource allocation and continuously improve the levels of standardized diagnosis, treatment and case management.

Key words: Tuberculosis, Rifampicin resistance, Treatment outcome, Influencing factors, Sichuan Province

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