Department of Global Health and Division of Infectious Diseases, Amsterdam Infection and Immunity Institute and Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
J Acquir Immune Defic Syndr. 2021 Jan 1;86(1):110-118. doi: 10.1097/QAI.0000000000002532.
We previously demonstrated a higher prevalence of frailty among AGEhIV-cohort participants with HIV (PWH) than among age- and lifestyle-comparable HIV-negative participants. Furthermore, frailty was associated with the development of comorbidities and mortality. As frailty may be a dynamic state, we evaluated the frequency of transitions between frailty states, and explored which factors were associated with transition toward frailty in this cohort.
The study enrolled 598 PWH and 550 HIV-negative participants aged ≥45 years. Of those, 497 and 479 participants, respectively, participated in ≥2 consecutive biennial study-visits between October 2010 and October 2016, contributing 918 and 915 visit-pairs, respectively. We describe the frequency, direction, and risk factors of frailty transitions. Logistic regression models with generalized estimating equations were used to evaluate determinants for transition to frailty, including HIV-status, socio-demographic, behavioral, HIV-related factors, and various inflammatory and related biomarkers.
Transitioning between frailty states in any direction occurred in 36% of a total of 1833 visit-pairs. The odds of nonfrail participants transitioning toward frailty were significantly higher for PWH, occurring in 35 PWH (7.3%) and 25 (5.2%) HIV-negative nonfrail participants, respectively (odd ratioHIV 2.19, 95% confidence interval 1.28 to 3.75). The increased risk among PWH was attenuated when sequentially adjusting for waist-hip ratio, number of pre-existent comorbidities, and the presence of depressive symptoms.
PWH are at increased risk of transitioning to frailty, and thereby at increased risk of adverse health outcomes. Whether optimizing the management of obesity, comorbidity, or depressive symptoms may modify the risk of becoming frail requires further investigation.
我们之前的研究表明,与年龄和生活方式相匹配的 HIV 阴性参与者相比,患有 HIV 的 AGEhIV 队列参与者中衰弱的患病率更高。此外,衰弱与合并症的发生和死亡率有关。由于衰弱可能是一种动态状态,我们评估了衰弱状态之间的转变频率,并探讨了在该队列中哪些因素与向衰弱状态的转变有关。
这项研究纳入了 598 名 HIV 阳性和 550 名 HIV 阴性年龄≥45 岁的参与者。其中,分别有 497 名和 479 名参与者在 2010 年 10 月至 2016 年 10 月期间参加了≥2 次连续的两年一次的研究访问,分别贡献了 918 次和 915 次就诊对。我们描述了衰弱状态转变的频率、方向和危险因素。使用广义估计方程的逻辑回归模型来评估向衰弱转变的决定因素,包括 HIV 状态、社会人口统计学、行为、HIV 相关因素以及各种炎症和相关生物标志物。
在总共 1833 次就诊对中,有 36%的就诊对出现了衰弱状态的任何方向的转变。非衰弱的 HIV 阳性参与者向衰弱转变的可能性明显高于 HIV 阴性非衰弱参与者,分别有 35 名 HIV 阳性参与者(7.3%)和 25 名 HIV 阴性非衰弱参与者(5.2%)(HIV 的比值比 2.19,95%置信区间 1.28 至 3.75)。当依次调整腰围-臀围比、预先存在的合并症数量和抑郁症状的存在时,HIV 阳性者的风险增加得到缓解。
HIV 阳性者向衰弱转变的风险增加,因此不良健康结局的风险增加。是否通过优化肥胖、合并症或抑郁症状的管理来改变衰弱的风险需要进一步研究。