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纵向CD4细胞计数数据与复合结局首次出现时间的联合建模。

Joint modeling of longitudinal CD4 count data and time to first occurrence of composite outcome.

作者信息

Iddrisu Abdul-Karim, Iddrisu Wahab Abdul, Azomyan Abu Sambor Gambedu, Gumedze Freedom

机构信息

Department of Mathematics and Statistics, University of Energy and Natural Resources, Ghana.

Department Statistics, Ghana Communication and Technology University, Ghana.

出版信息

J Clin Tuberc Other Mycobact Dis. 2024 Apr 1;35:100434. doi: 10.1016/j.jctube.2024.100434. eCollection 2024 May.

DOI:10.1016/j.jctube.2024.100434
PMID:38584976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10995979/
Abstract

In this study, we jointly modeled longitudinal CD4 count data and survival outcome (time-to-first occurrence of composite outcome of death, cardiac tamponade or constriction) in other to investigate the effects of and the CD4 count measurements on the hazard of the composite outcome among patients with HIV and tuberculous (TB) pericarditis. In this joint modeling framework, the models for longitudinal and the survival data are linked by an association structure. The association structure represents the hazard of the event for 1-unit increase in the longitudinal measurement. Models fitting and parameter estimation were carried out using R version 4.2.3. The association structure that represents the strength of the association between the hazard for an event at time point j and the area under the longitudinal trajectory up to the same time j provides the best fit. We found that 1-unit increase in CD4 count results in 2 % significant reduction in the hazard of the composite outcome. Among HIV and TB pericarditis individuals, the hazard of the composite outcome does not differ between of versus placebo. Application of joint models to investigate the effect of on the hazard of the composite outcome is limited. Hence, this study provides information on the effect of M.indicus pranii on the hazard of the composite outcome among HIV and TB pericarditis patients.

摘要

在本研究中,我们对纵向CD4细胞计数数据和生存结局(首次出现死亡、心脏压塞或缩窄的复合结局的时间)进行联合建模,以研究[未提及的因素]和CD4细胞计数测量对HIV和结核性心包炎患者复合结局风险的影响。在这个联合建模框架中,纵向数据模型和生存数据模型通过一个关联结构相连。该关联结构表示纵向测量值每增加1个单位时事件的风险。使用R版本4.2.3进行模型拟合和参数估计。表示时间点j处事件风险与同一时间j之前纵向轨迹下面积之间关联强度的关联结构提供了最佳拟合。我们发现CD4细胞计数每增加1个单位会使复合结局风险显著降低2%。在HIV和结核性心包炎患者中,[未提及的因素]与安慰剂相比,复合结局的风险没有差异。应用联合模型研究[未提及的因素]对复合结局风险的影响是有限的。因此,本研究提供了关于印度獐牙菜对HIV和结核性心包炎患者复合结局风险影响的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/2f2eac5898a3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/1be661d63352/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/cc3bf3bad559/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/2f2eac5898a3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/1be661d63352/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/cc3bf3bad559/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c605/10995979/2f2eac5898a3/gr3.jpg

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本文引用的文献

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BMC Public Health. 2023 Oct 25;23(1):2091. doi: 10.1186/s12889-023-16977-x.
2
Using joint models to study the association between CD4 count and the risk of death in TB/HIV data.利用联合模型研究 TB/HIV 数据中 CD4 计数与死亡风险之间的关联。
BMC Med Res Methodol. 2022 Nov 18;22(1):295. doi: 10.1186/s12874-022-01775-7.
3
Tuberculous pericarditis-a silent and challenging disease: A case report.
结核性心包炎——一种隐匿且具有挑战性的疾病:病例报告
World J Clin Cases. 2022 Feb 26;10(6):1869-1875. doi: 10.12998/wjcc.v10.i6.1869.
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Bayesian joint modelling of longitudinal and time to event data: a methodological review.纵向数据与事件发生时间数据的贝叶斯联合建模:方法学综述
BMC Med Res Methodol. 2020 Apr 26;20(1):94. doi: 10.1186/s12874-020-00976-2.
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Joint modelling of longitudinal and time-to-event data: an illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy.纵向数据和生存时间数据的联合建模:在接受抗逆转录病毒治疗的患者队列中使用 CD4 计数和死亡率进行说明。
BMC Infect Dis. 2020 Mar 30;20(1):256. doi: 10.1186/s12879-020-04962-3.
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