肺结核患者早期服药智能工具打卡轨迹与治疗转归的关联

Association analyses of early medication clocking-in trajectory with smart tools and treatment outcome in pulmonary tuberculosis patients

  • 摘要:
    目的 利用智能工具督导肺结核患者服药打卡产生的数据,构建早期服药打卡的组基轨迹模型(GBTM),并分析不同轨迹与患者治疗转归之间的关系。
    方法 选取上海市奉贤区2022年10月1日—2023年9月30日确诊的163名肺结核患者作为研究对象,利用GBTM分析研究对象前4周每周的主动打卡轨迹,并建立不同的轨迹组。采用χ2检验比较组间差异,利用logistic回归分析探索不同轨迹组与治疗转归之间的关系。
    结果 163名研究对象经GBTM分析产生了4个轨迹组,其中,59%服药者打卡始终维持在低水平(A组),6%服药者打卡从低水平快速上升(B组),17%服药者打卡由低水平逐渐上升(C组),18%服药者打卡始终维持在高水平(D组)。将轨迹组按同质性分为低水平服药打卡组(A组)和高水平服药打卡组(B组+C组+D组)。logistic回归分析结果显示:低水平服药打卡[OR(95%CI):3.250(1.089~9.696)]、年龄增长[OR(95%CI):1.030(1.004~1.056)]、5月末未查痰[OR(95%CI):2.746(1.090~7.009)]与不良转归相关。
    结论 肺结核患者前4周服药打卡轨迹与不良结局具有相关性:持续低水平服药打卡与产生不良转归相关,而高水平的服药打卡呈现较低的不良转归。

     

    Abstract:
    Objective To construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in.
    Methods From October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes.
    Results A total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes.
    Conclusion The medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

     

/

返回文章
返回