Suppr超能文献

VACS 指数与 NA-ACCORD 中 HIV 感染者住院的相关性。

Association of the VACS Index With Hospitalization Among People With HIV in the NA-ACCORD.

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD.

出版信息

J Acquir Immune Defic Syndr. 2022 Jan 1;89(1):9-18. doi: 10.1097/QAI.0000000000002812.

Abstract

BACKGROUND

People with HIV (PWH) have a higher hospitalization rate than the general population. The Veterans Aging Cohort Study (VACS) Index at study entry well predicts hospitalization in PWH, but it is unknown if the time-updated parameter improves hospitalization prediction. We assessed the association of parameterizations of the VACS Index 2.0 with the 5-year risk of hospitalization.

SETTING

PWH ≥30 years old with at least 12 months of antiretroviral therapy (ART) use and contributing hospitalization data from 2000 to 2016 in North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) were included. Three parameterizations of the VACS Index 2.0 were assessed and categorized by quartile: (1) "baseline" measurement at study entry; (2) time-updated measurements; and (3) cumulative scores calculated using the trapezoidal rule.

METHODS

Discrete-time proportional hazard models estimated the crude and adjusted associations (and 95% confidence intervals [CIs]) of the VACS Index parameterizations and all-cause hospitalizations. The Akaike information criterion (AIC) assessed the model fit with each of the VACS Index parameters.

RESULTS

Among 7289 patients, 1537 were hospitalized. Time-updated VACS Index fitted hospitalization best with a more distinct dose-response relationship [score <43: reference; score 43-55: aHR = 1.93 (95% CI: 1.66 to 2.23); score 55-68: aHR = 3.63 (95% CI: 3.12 to 4.23); score ≥68: aHR = 9.98 (95% CI: 8.52 to 11.69)] than study entry and cumulative VACS Index after adjusting for known risk factors.

CONCLUSIONS

Time-updated VACS Index 2.0 had the strongest association with hospitalization and best fit to the data. Health care providers should consider using it when assessing hospitalization risk among PWH.

摘要

背景

HIV 感染者(PWH)的住院率高于一般人群。研究入组时的退伍军人老龄化队列研究(VACS)指数很好地预测了 PWH 的住院情况,但尚不清楚时间更新参数是否能改善住院预测。我们评估了 VACS 指数 2.0 的参数化与 5 年住院风险的相关性。

设置

纳入了年龄≥30 岁、至少使用 12 个月抗逆转录病毒治疗(ART)且在 2000 年至 2016 年期间有贡献住院数据的北美的艾滋病队列合作研究和设计(NA-ACCORD)中的 PWH。评估了 VACS 指数 2.0 的三种参数化,并按四分位数进行分类:(1)研究入组时的“基线”测量;(2)时间更新的测量;(3)使用梯形规则计算的累积分数。

方法

离散时间比例风险模型估计了 VACS 指数参数化的粗和调整关联(和 95%置信区间 [CI])以及全因住院。Akaike 信息准则(AIC)评估了每个 VACS 指数参数的模型拟合情况。

结果

在 7289 名患者中,有 1537 人住院。时间更新的 VACS 指数与住院的相关性最佳,具有更明显的剂量反应关系[评分<43:参考;评分 43-55:aHR=1.93(95%CI:1.66-2.23);评分 55-68:aHR=3.63(95%CI:3.12-4.23);评分≥68:aHR=9.98(95%CI:8.52-11.69)],优于研究入组和累积 VACS 指数,调整了已知的风险因素。

结论

时间更新的 VACS 指数 2.0 与住院的相关性最强,与数据的拟合度最佳。医疗保健提供者在评估 PWH 的住院风险时应考虑使用它。

相似文献

本文引用的文献

7
Anemia and acute coronary syndrome: current perspectives.贫血与急性冠状动脉综合征:当前观点
Vasc Health Risk Manag. 2018 May 30;14:109-118. doi: 10.2147/VHRM.S140951. eCollection 2018.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验