Suppr超能文献

HIV感染个体中CD4 + T淋巴细胞减少的动态变化:一种马尔可夫建模方法。

The dynamics of CD4+ T-lymphocyte decline in HIV-infected individuals: a Markov modeling approach.

作者信息

Longini I M, Clark W S, Gardner L I, Brundage J F

机构信息

Division of Biostatistics, School of Public Health, Emory University, Atlanta, Georgia 30322.

出版信息

J Acquir Immune Defic Syndr (1988). 1991;4(11):1141-7.

PMID:1684387
Abstract

We modeled the decline of CD4+ T-lymphocytes (T4 cells) in HIV-infected individuals with a continuous-time Markov process. The model partitions the HIV infection period into six progressive T4-cell count intervals (states), followed by a seventh state: a definitive HIV-infection end point, i.e., AIDS diagnosis or Walter Reed stage 6 (opportunistic infections). The Markov model was used to estimate the state-specific progression rates from data as functions of important progression cofactors. We applied the model to data on 1,796 HIV-positive individuals in the U.S. Army. The estimated mean waiting time from seroconversion to when the T4-cell count persistently drops below 500/mm3, but is greater than 349/mm3, is 4.1 years, and the waiting time to a T4-cell count of less than 200/mm3 is estimated at 8.0 years. The estimated rate of T4-cell decline was higher for HIV-infected individuals with initially high numbers of T4 cells, but the estimated rate of decline remains relatively uniform when the T4-cell count dropped persistently below 500/mm3. The opportunistic infection incubation period, i.e., the time from seroconversion to opportunistic infection diagnosis, is estimated at 9.6 years. Age is found to be an important cofactor. The estimated mean opportunistic infection incubation periods are 11.1, 10.0, and 8.9 years for the youngest (less than or equal to 25 years old), the middle (26-30 years old), and the oldest (greater than 30 years old) age groups, respectively.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

我们用连续时间马尔可夫过程对HIV感染个体中CD4 + T淋巴细胞(T4细胞)的减少进行了建模。该模型将HIV感染期划分为六个渐进的T4细胞计数区间(状态),随后是第七个状态:明确的HIV感染终点,即艾滋病诊断或沃尔特·里德6期(机会性感染)。马尔可夫模型用于根据重要进展辅助因素的数据估计特定状态的进展率。我们将该模型应用于美国陆军1796名HIV阳性个体的数据。从血清转化到T4细胞计数持续降至低于500/mm3但大于349/mm3的估计平均等待时间为4.1年,而T4细胞计数低于200/mm3的等待时间估计为8.0年。初始T4细胞数量较高的HIV感染个体的T4细胞下降估计速率更高,但当T4细胞计数持续低于500/mm3时,下降估计速率保持相对一致。机会性感染潜伏期,即从血清转化到机会性感染诊断的时间,估计为9.6年。发现年龄是一个重要的辅助因素。最年轻(小于或等于25岁)、中间(26 - 30岁)和最年长(大于30岁)年龄组的机会性感染估计平均潜伏期分别为11.1年、10.0年和8.9年。(摘要截断于250字)

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验