Phyo Aung Zaw Zaw, Gonzalez-Chica David A, Stocks Nigel P, Woods Robyn L, Tran Thach, Reid Christopher M, Tonkin Andrew M, Nelson Mark R, McNeil John J, Murray Anne M, Gasevic Danijela, Freak-Poli Rosanne, Ryan Joanne
School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Discipline of General Practice, Adelaide Medical School, University of Adelaide, Adelaide, SA 5005, Australia.
Am Heart J Plus. 2022 Jan;13. doi: 10.1016/j.ahjo.2022.100117. Epub 2022 Mar 23.
The aim of this study was to identify whether physical component score (PCS) of health-related quality of life trajectories over 4.7-years predicted subsequent risk of incident fatal and non-fatal CVD events, and all-cause mortality.
This study included 16,871 community-dwelling people aged ≥65 years enrolled in the ASPREE (ASPirin in Reducing Events in the Elderly) trial. PCS was assessed annually using the SF-12 (version-2) over a median 4.7-years (i.e. from baseline (2010-2014) till June 2017). Incident CVD events and all-cause mortality occurring after June 2017 until the second-year after the end of the trial were considered. Growth mixture and logistic regression modelling were used.
Four PCS trajectories were identified: high (66.5%), intermediate (13.3%), decline (13.8%), and low (6.5%), and there was subsequently a total of 406 (2.50%) incident CVD events, 197 (1.17%) fatal CVD, and 751 (4.45%) deaths. The declining PCS trajectory group had the highest risk of incident CVD (adjusted OR, 1.51; 95% CI 1.14, 1.99), while the low PCS trajectory group had the greatest risk of fatal CVD (adjusted OR, 1.74; 95%CI 1.06, 2.85) and all-cause mortality (adjusted OR, 1.83; 95%CI 1.40, 2.40). After further adjustment for the baseline PCS score, only the association between declining PCS trajectory and incident CVD (adjusted OR, 1.51; 95%CI 1.11, 2.07) remained.
Our study strengthens the importance of PCS as a predictive measure of CVD and all-cause mortality in older people and also highlights that a declining PCS trajectory could be considered an early predictor of future CVD events.
本研究旨在确定4.7年期间健康相关生活质量轨迹的身体成分评分(PCS)是否能预测随后发生致命和非致命心血管疾病(CVD)事件以及全因死亡率的风险。
本研究纳入了16871名年龄≥65岁的社区居民,他们参与了ASPREE(老年人阿司匹林减少事件)试验。在中位数为4.7年的时间里(即从基线期(2010 - 2014年)到2017年6月),每年使用SF - 12(第2版)评估PCS。考虑2017年6月之后直至试验结束后第二年发生的CVD事件和全因死亡率。采用生长混合模型和逻辑回归模型。
确定了四条PCS轨迹:高(66.5%)、中(13.3%)、下降(13.8%)和低(6.5%),随后共有406例(2.50%)新发CVD事件、197例(1.17%)致命性CVD事件和751例(4.45%)死亡。PCS轨迹下降组发生新发CVD的风险最高(调整后的比值比,1.51;95%置信区间1.14,1.99),而PCS轨迹低分组发生致命性CVD的风险最大(调整后的比值比,1.74;95%置信区间1.06,2.85)以及全因死亡率风险最大(调整后的比值比,1.83;95%置信区间1.40,2.40)。在进一步调整基线PCS评分后,仅PCS轨迹下降与新发CVD之间的关联(调整后的比值比,1.51;95%置信区间1.11,2.07)仍然存在。
我们的研究强化了PCS作为老年人CVD和全因死亡率预测指标的重要性,同时也强调PCS轨迹下降可被视为未来CVD事件的早期预测指标。