Changes in multimorbidity burden over a 3–5 year period among people with HIV

Luxsena Sukumaran, D. De Francesco, A. Winston, P. Mallon, N. Doyle, Jane Anderson, M. Boffito, I. Williams, F. Post, J. Vera, M. Sachikonye, Margaret A. Johnson, C. Sabin
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Abstract

Introduction: As people living with HIV age, the increasing burden of multimorbidity poses a significant health challenge. The aims of this study were to identify common patterns of multimorbidity and examine changes in their burden, as well as their associations with risk factors, over a 3–5 year period in people with HIV, enrolled in the Pharmacokinetic and clinical Observations in PeoPle over fiftY (POPPY) study. Methods: Common multimorbidity patterns were identified in POPPY participants with HIV using principal component analysis, based on Somers’ D statistic. Multimorbidity burden scores were calculated for each participant/pattern at study entry/follow-up and were standardised relative to the mean in the sample at baseline (scores >0 thus reflect a greater number of comorbidities relative to the mean). Two multivariable linear regression models were fitted to examine the associations between risk factors and burden z-scores at baseline and change in z-scores over a 3–5 year period. Results: Five patterns were identified among the 1073 POPPY participants with HIV {median age [interquartile range (IQR)], 52 (47–59) years; 85% male and 84% white}: Cardiovascular diseases (CVDs), Sexually transmitted diseases (STDs), Neurometabolic, Cancer and Mental-gastro-joint. The multivariable linear regression showed that older age, behavioural factors (i.e., body mass index (BMI), history of injection drug use, current recreational drug use and sex between men), and HIV-specific factors (i.e., duration since HIV diagnosis and a prior AIDS diagnosis) were associated with higher multimorbidity burden at baseline. However, only three of the factors (age, BMI and duration since HIV diagnosis) were significantly associated with an increase in burden across specific patterns over time. Discussion: Key modifiable and non-modifiable factors contributing to an increase in burden of multimorbidity were identified. Our findings may inform the development of more targeted interventions and guidelines to effectively prevent and manage the rising burden of multimorbidity in people with HIV.
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HIV感染者3-5年多发病负担的变化
随着艾滋病毒感染者年龄的增长,多重疾病负担的增加对健康构成了重大挑战。本研究的目的是在参加50岁以上人群药代动力学和临床观察(POPPY)研究的HIV感染者中,确定多发病的常见模式,并检查其负担的变化及其与风险因素的关联。方法:采用基于Somers ' D统计量的主成分分析,确定罂粟参与者中常见的多发病模式。在研究开始/随访时计算每个参与者/模式的多重疾病负担评分,并相对于基线时样本的平均值进行标准化(因此评分>0反映了相对于平均值更多的合并症)。我们拟合了两个多变量线性回归模型,以检验危险因素与基线时的负担z分数以及3-5年期间z分数变化之间的关系。结果:在1073名HIV感染者中发现了五种模式{中位年龄[四分位数间距(IQR)], 52(47-59)岁;85%为男性,84%为白人}:心血管疾病(cvd)、性传播疾病(std)、神经代谢疾病、癌症和精神-胃关节疾病。多变量线性回归显示,年龄较大、行为因素(即身体质量指数(BMI)、注射吸毒史、目前使用娱乐性药物和男性之间的性行为)和艾滋病毒特异性因素(即自艾滋病毒诊断和既往艾滋病诊断的持续时间)与基线时较高的多重疾病负担相关。然而,随着时间的推移,只有三个因素(年龄、体重指数和自艾滋病毒诊断以来的持续时间)与特定模式的负担增加显著相关。讨论:确定了导致多重疾病负担增加的关键可改变和不可改变因素。我们的研究结果可能为制定更有针对性的干预措施和指南提供信息,以有效预防和管理艾滋病毒感染者多重疾病日益增加的负担。
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