McGinnis Kathleen A, Justice Amy C, Marconi Vincent C, Rodriguez-Barradas Maria C, Hauser Ronald G, Oursler Krisann K, Brown Sheldon T, Bryant Kendall J, Tate Janet P
VA Connecticut Healthcare System, West Haven, CT, United States.
Yale School of Medicine, New Haven, CT, United States.
Front Med (Lausanne). 2024 Jan 31;10:1342466. doi: 10.3389/fmed.2023.1342466. eCollection 2023.
As people age with HIV (PWH), many comorbid diseases are more common than among age matched comparators without HIV (PWoH). While the Veterans Aging Cohort (VACS) Index 2.0 accurately predicts mortality in PWH using age and clinical biomarkers, the only included comorbidity is hepatitis C. We asked whether adding comorbid disease groupings from the Charlson Comorbidity Index (CCI) improves the accuracy of VACS Index.
To maximize our ability to model mortality among older age groups, we began with PWoH in Veterans Health Administration (VA) from 2007-2017, divided into development and validation samples. Baseline predictors included age, and components of CCI and VACS Index (excluding CD4 count and HIV RNA). Patients were followed until December 31, 2021. We used Cox models to develop the VACS-CCI score and estimated mortality using a parametric (gamma) survival model. We compared accuracy using C-statistics and calibration curves in validation overall and within subgroups (gender, age </≥65 years, race/ethnicity, and CCI score). We then applied VACS-CCI in PWH and compared its accuracy to age, VACS Index 2.0, CCI and VACS-CCI with CD4 and HIV RNA added.
The analytic sample consisted of 6,588,688 PWoH and 30,539 PWH. Among PWoH/PWH, median age was 65/55 years; 6%/3% were women; 15%/48% were Black and 5%/7% Hispanic. VACS-CCI provided the best discrimination (C-statistic = 0.81) with excellent calibration (predicted and observed mortality largely overlapped) overall and within subgroups. When VACS-CCI was applied to PWH it demonstrated similar discrimination as VACS Index 2.0 (C-statistic = 0.77 for both) but superior calibration among those with CD4 < 200. Discrimination was improved when CD4 and HIV RNA were added VACS-CCI (C-statistic = 0.79). Liver and kidney disease, congestive heart failure, malignancy, and dementia were negatively associated with CD4 (-trends all <0.0001).
Among PWH and PWoH in VA care, age alone weakly discriminates risk of mortality. VACS Index 2.0, CCI, and VACS-CCI all provide better discrimination, but VACS-CCI is more consistently calibrated. The association of comorbid diseases with lower CD4 underscores the likely role of HIV in non-AIDS conditions. Future work will include adding CD4 and HIV RNA to VACS-CCI and validating it in independent data.
随着感染艾滋病毒的人(PWH)年龄增长,许多合并症比未感染艾滋病毒的年龄匹配对照人群(PWoH)更为常见。虽然退伍军人老龄化队列(VACS)指数2.0使用年龄和临床生物标志物准确预测了PWH的死亡率,但唯一纳入的合并症是丙型肝炎。我们询问添加来自Charlson合并症指数(CCI)的合并症分组是否能提高VACS指数的准确性。
为了最大限度地提高我们对老年人群死亡率建模的能力,我们从2007年至2017年退伍军人健康管理局(VA)的PWoH开始,分为开发样本和验证样本。基线预测因素包括年龄、CCI和VACS指数的组成部分(不包括CD4计数和HIV RNA)。对患者进行随访直至2021年12月31日。我们使用Cox模型开发VACS - CCI评分,并使用参数(伽马)生存模型估计死亡率。我们通过C统计量和校准曲线在总体验证以及亚组(性别、年龄</≥65岁、种族/民族和CCI评分)中比较准确性。然后我们将VACS - CCI应用于PWH,并将其准确性与年龄、VACS指数2.0、CCI以及添加了CD4和HIV RNA的VACS - CCI进行比较。
分析样本包括6588688名PWoH和30539名PWH。在PWoH/PWH中,年龄中位数为65/55岁;6%/3%为女性;15%/48%为黑人,5%/7%为西班牙裔。VACS - CCI总体和亚组内均提供了最佳的区分度(C统计量 = 0.81),校准良好(预测死亡率和观察到的死亡率基本重叠)。当VACS - CCI应用于PWH时,它表现出与VACS指数2.0相似的区分度(两者C统计量均 = 0.77),但在CD4<200的人群中校准更佳。当在VACS - CCI中添加CD4和HIV RNA时,区分度得到改善(C统计量 = 0.79)。肝脏和肾脏疾病、充血性心力衰竭、恶性肿瘤和痴呆与CD4呈负相关(所有趋势均<0.0001)。
在接受VA护理的PWH和PWoH中,仅年龄对死亡风险的区分能力较弱。VACS指数2.0、CCI和VACS - CCI都提供了更好的区分度,但VACS - CCI的校准更一致。合并症与较低CD4的关联强调了艾滋病毒在非艾滋病相关病症中可能发挥的作用。未来的工作将包括在VACS - CCI中添加CD4和HIV RNA并在独立数据中进行验证。