Wenzhou Center for Disease Control and Prevention, Wenzhou 325000, Zhejiang, China.
Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, Zhejiang, China.
Aging (Albany NY). 2021 May 7;13(9):13061-13072. doi: 10.18632/aging.202987.
Previous studies concerning the effect of plasma hemoglobin (HB) and other factors that may modify the risk of death in people living with HIV/AIDS (PLHIV) treated with antiretroviral therapy (ART) are limited.
Higher HB was independently linked to a lower death risk in PLHIV, with a decrease of 29% (13%, 43%) per standard deviation (SD) increment after adjusting for CD4, VL and other potential factors [hazard ratio (HR): 0.71, 95% confidence interval (CI): 0.57-0.87, P<0.001]. In addition, the addition of HB to the predictive model containing VL and CD4 significantly improved the C-index, by 0.69% (95% CI: 0.68%-0.71%), and net discrimination, by 0.5% (95% CI: 0.0%-1.6%, P=0.040), when predicting the death risk of PLHIV.
A lower level of HB was an independent risk factor for HIV/AIDS-associated death in PLHIV. HB combined with VL and CD4 may be an appropriate predictive model of the death risk of PLHIV.
A propensity-score matching (PSM) approach was applied to select a total of 750 PLHIV (150 deceased and 600 living) from the AIDS prevention and control information system in the Wenzhou area from 2006 to 2018. Multivariable Cox proportional hazards regression models were formulated to estimate the effect of HB. The predictive performance improvement contributed by HB was evaluated using the C-index and net reclassification improvement.
既往关于接受抗反转录病毒治疗(ART)的艾滋病毒/艾滋病(HIV/AIDS)感染者(PLHIV)中血浆血红蛋白(HB)等可能改变死亡风险的因素的影响的研究有限。
在调整 CD4、VL 和其他潜在因素后,HB 每增加一个标准差(SD),PLHIV 的死亡风险降低 29%(13%,43%),与死亡风险呈负相关[风险比(HR):0.71,95%置信区间(CI):0.57-0.87,P<0.001]。此外,HB 加入包含 VL 和 CD4 的预测模型可显著提高 C 指数,增加 0.69%(95%CI:0.68%-0.71%),净判别力增加 0.5%(95%CI:0.0%-1.6%),P=0.040),用于预测 PLHIV 的死亡风险。
HB 水平较低是 PLHIV 与 HIV/AIDS 相关死亡的独立危险因素。HB 联合 VL 和 CD4 可能是预测 PLHIV 死亡风险的合适预测模型。
采用倾向评分匹配(PSM)方法,从 2006 年至 2018 年温州市艾滋病防治信息系统中选择了共 750 例 PLHIV(150 例死亡和 600 例存活)。使用多变量 Cox 比例风险回归模型来估计 HB 的作用。通过 C 指数和净重新分类改善来评估 HB 所带来的预测性能改善。