DeSilva Malini B, Merry Stephen P, Fischer Philip R, Rohrer James E, Isichei Christian O, Cha Stephen S
Mayo Clinic College of Medicine, Mayo Medical School, Rochester, MN, USA.
AIDS Care. 2009 Jan;21(1):70-7. doi: 10.1080/09540120802017636.
This retrospective study identifies risk factors for mortality in a cohort of HIV-positive adult patients treated with highly active antiretroviral therapy (HAART) in Jos, Nigeria. We analyzed clinical data from a cohort of 1552 patients enrolled in a HIV/acquired immune deficiency syndrome treatment program and started on HAART between December 2004 and 30 April 2006. Death was our study endpoint. Patients were followed in the study until death, being lost to follow-up, or the end of data collection, 1 December 2006. Baseline patient characteristics were compared using Wilcoxon Rank Sum Test for continuous variables and Pearson Chi-Square test for categorical variables to determine if certain demographic factors were associated with more rapid progression to death. The Cox proportional hazard multivariate model analysis was used to find risk factors. As of 1 December 2006, a total of 104 cases progressed to death. In addition to the expected association of CD4 count less than 50 at initiation of therapy and active tuberculosis with mortality, the patient characteristics independently associated with a more rapid progression to death after initiation of HAART were male gender, age less than 30 years old, and unemployment or unknown occupation status. Future research is needed to identify the confounding variables that may be amenable to targeted interventions aimed at ameliorating these health disparities.
这项回顾性研究确定了在尼日利亚乔斯接受高效抗逆转录病毒疗法(HAART)治疗的一组HIV阳性成年患者的死亡风险因素。我们分析了1552名参加HIV/获得性免疫缺陷综合征治疗项目并于2004年12月至2006年4月30日开始接受HAART治疗的患者的临床数据。死亡是我们的研究终点。在研究中对患者进行随访,直至死亡、失访或数据收集结束(2006年12月1日)。使用Wilcoxon秩和检验对连续变量进行基线患者特征比较,使用Pearson卡方检验对分类变量进行比较,以确定某些人口统计学因素是否与更快进展至死亡相关。使用Cox比例风险多变量模型分析来寻找风险因素。截至2006年12月1日,共有104例患者进展至死亡。除了治疗开始时CD4细胞计数低于50以及活动性结核病与死亡率的预期关联外,与HAART治疗开始后更快进展至死亡独立相关的患者特征为男性、年龄小于30岁以及失业或职业状况不明。需要进一步研究以确定可能适合进行针对性干预以改善这些健康差异的混杂变量。