Dong Chenyu, Zhang Renfang, Li Shenyang, Chen Jun, Liu Yunhe, Xia Xiaoqiong, Liu Gang, Shen Yinzhong, Liu Lei, Zeng Liyan
Institutes of Biomedical Sciences, Intelligent Medicine Institute, Fudan University, Shanghai, China.
Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Ther Adv Infect Dis. 2025 Feb 24;12:20499361241308641. doi: 10.1177/20499361241308641. eCollection 2025 Jan-Dec.
At present, there is a need for more substantial real-world evidence on the factors influencing the effectiveness of tuberculosis (TB) treatment in HIV/TB co-infected patients.
This retrospective study aims to identify factors affecting TB treatment effectiveness in HIV/TB co-infected patients.
Retrospective cross-sectional study.
We included 461 HIV/TB co-infected patients, deriving 742 samples based on each initial positive TB test period. A total of 7788 valid treatment records corresponding to 17 TB drug compositions and 150 clinical indicators (each > 100 records) were used for analysis. Data mining techniques were employed, including consensus clustering, Fisher's exact test, stratified analysis, multivariate logistic regression analysis, and three modeling approaches (logistic regression, support vector machine, and random forest).
The TB treatment effectiveness of CD4 T cell count ⩽ 42 is significantly lower than that of the sample group > 42 (aOR: 1.77, 95% CI: 1.15-2.74, = 0.010). The TB treatment effectiveness of the "rifabutin and levofloxacin alone or in combination" group is significantly higher than that of the "other first- and second-line anti-TB drugs in combination" group (aOR: 0.10, 95% CI: 0.01-0.64, = 0.022). Significant differences exist in factors between TB treatment effective and ineffective groups, including age (aOR: 2.12, 95% CI: 1.10-4.20, = 0.027), pre-treatment high-density lipoprotein (HDL) cholesterol (aOR: 0.47, 95% CI: 0.25-0.89, = 0.022), pre-treatment CD8 T cell count (aOR: 0.55, 95% CI: 0.33-0.90, = 0.019), pre-treatment neutrophil percentage (aOR: 0.68, 95% CI: 0.48-0.96, = 0.030), rifabutin (aOR: 1.59, 95% CI: 1.09-2.32, = 0.016), and cycloserine (aOR: 0.21, 95% CI: 0.03-0.77, = 0.041). The best area under the receiver operating characteristic curve of the test set under three modeling methods is 0.560-0.763. Rate of lymphocyte percentage recovering to normal is significantly higher in the TB treatment-effective group than in the treatment-ineffective group (aOR: 1.83, 95% CI: 1.09-3.10, = 0.022).
CD4 T cell count of 42/μL assists TB treatment effectiveness evaluation. Rifabutin and levofloxacin show more therapeutic benefits. Lymphocyte percentage can serve as an effective TB therapeutic and diagnostic target. Age, pre-treatment factors (HDL cholesterol, CD8 T cell count, and neutrophil percentage), rifabutin, and cycloserine are significantly associated with TB treatment effectiveness. Factors affecting TB treatment effectiveness for HIV/TB co-infected patients need more evidence.
目前,需要更多关于影响艾滋病毒/结核病合并感染患者结核病治疗效果因素的实质性真实世界证据。
这项回顾性研究旨在确定影响艾滋病毒/结核病合并感染患者结核病治疗效果的因素。
回顾性横断面研究。
我们纳入了461例艾滋病毒/结核病合并感染患者,根据每个初始结核菌素试验阳性期获得742个样本。总共7788条对应17种抗结核药物组合和150项临床指标(每项>100条记录)的有效治疗记录用于分析。采用了数据挖掘技术,包括一致性聚类、Fisher精确检验、分层分析、多变量逻辑回归分析以及三种建模方法(逻辑回归、支持向量机和随机森林)。
CD4 T细胞计数≤42的结核病治疗效果显著低于>42的样本组(调整后比值比:1.77,95%置信区间:1.15 - 2.74,P = 0.010)。“利福布汀和左氧氟沙星单用或联用”组的结核病治疗效果显著高于“其他一线和二线抗结核药物联用”组(调整后比值比:0.10,95%置信区间:0.01 - 0.64,P = 0.022)。结核病治疗有效组和无效组之间在年龄(调整后比值比:2.12,95%置信区间:1.10 - 4.20,P = 0.027)、治疗前高密度脂蛋白(HDL)胆固醇(调整后比值比:0.47,95%置信区间:0.25 - 0.89,P = 0.022)、治疗前CD8 T细胞计数(调整后比值比:0.55,95%置信区间:0.33 - 0.90,P = 0.019)、治疗前中性粒细胞百分比(调整后比值比:0.68,95%置信区间:0.48 - 0.96,P = 0.030)、利福布汀(调整后比值比:1.59,95%置信区间:1.09 - 2.32,P =