Gezie Lemma Derseh
Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
BMC Res Notes. 2016 Jul 30;9:377. doi: 10.1186/s13104-016-2182-4.
The response of HIV patients to antiretroviral therapy could be measured by its strong predictor, the CD4+ T cell (CD4) count for the initiation of antiretroviral therapy and proper management of disease progress. However, in addition to HIV, there are other factors which can influence the CD4 cell count. Patient's socio-economic, demographic, and behavioral variables, accessibility, duration of treatment etc., can be used to predict CD4 count.
A retrospective cohort study was conducted to examine the predictors of CD4 count among ART users enrolled in the first 6 months of 2010 and followed upto mid 2014. The covariance components model was employed to determine the predictors of CD4 count over time.
A total of 1196 ART attendants were used to analyze their data descriptively. Eight hundred sixty-one of the attendants had two or more CD4 count measurements and were used in modeling their data using the linear mixed method. Thus, the mean rates of incensement of CD4 counts for patients with ambulatory/bedridden and working baseline functional status were 17.4 and 30.6 cells/mm(3) per year, respectively. After adjusting for other variables, for each additional baseline CD4 count, the gain in CD4 count during treatment was 0.818 cells/mm(3) (p value <0.001). Patient's age and baseline functional status were also statistically significantly associated with CD4 count.
In this study, higher baseline CD4 count, younger age, working functional status, and time in treatment contributed positively to the increment of the CD4 count. However, the observed increment at 4 year was unsatisfactory as the proportion of ART users who reached the normal range of CD4 count was very low. To see their long term treatment outcome, it requires further research with a sufficiently longer follow up data. In line with this, the local CD4 count for HIV negative persons should also be investigated for better comparison and proper disease management.
HIV患者对抗逆转录病毒疗法的反应可以通过其强有力的预测指标——启动抗逆转录病毒疗法时的CD4+T细胞(CD4)计数以及对疾病进展的恰当管理来衡量。然而,除了HIV之外,还有其他因素会影响CD4细胞计数。患者的社会经济、人口统计学和行为变量、可及性、治疗持续时间等,都可用于预测CD4计数。
开展一项回顾性队列研究,以检查2010年前6个月登记入组并随访至2014年年中的接受抗逆转录病毒治疗者的CD4计数预测因素。采用协方差成分模型来确定随时间变化的CD4计数预测因素。
总共1196名接受抗逆转录病毒治疗者的数据用于描述性分析。其中861名接受治疗者有两次或更多次CD4计数测量结果,并使用线性混合法对其数据进行建模。因此,门诊/卧床和工作基线功能状态患者的CD4计数年平均增加率分别为每年17.4个和30.6个细胞/mm³。在对其他变量进行校正后,每增加一个基线CD4计数,治疗期间CD4计数的增加量为0.818个细胞/mm³(p值<0.001)。患者年龄和基线功能状态也与CD4计数有统计学显著关联。
在本研究中,较高的基线CD4计数、较年轻的年龄、工作功能状态以及治疗时间对CD4计数的增加有积极作用。然而,4年时观察到的增加并不理想,因为达到CD4计数正常范围的接受抗逆转录病毒治疗者比例非常低。要了解他们的长期治疗结果,需要进行进一步研究并获取足够长的随访数据。与此一致的是,还应调查HIV阴性者的本地CD4计数,以便进行更好的比较和恰当的疾病管理。