Mid-life antihypertensive initiation and incident dementia: a machine learning-weighted target trial emulation in the health and retirement study.

IF 1.4
American journal of cardiovascular disease Pub Date : 2026-04-15 eCollection Date: 2026-01-01 DOI:10.62347/KEXT8146
Sajjad Hajihosseini, Reza Khademi, Anita Fatehi, Behnoosh Taghvaei, Yousef Dowlatabadi, Serve Mamkhezri, Taher Fanihagh, Mohaddeseh Belbasi, Maryam Gholizadeh, Atiye Rashidi, Danyal Yarahmadi, Saeid Najafi
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Abstract

Background: Mid-life hypertension is a treatable vascular risk for dementia, yet trial evidence on whether starting antihypertensives in middle age lowers late-life dementia remains mixed. This study aimed to emulate a randomized trial to estimate whether initiating antihypertensive therapy at mid-life reduces subsequent dementia risk.

Methods: We emulated a randomized target trial of antihypertensive initiation using Health and Retirement Study data (2002-2020; 18-year follow-up). Eligible adults aged 45-65 with incident hypertension and dementia-free at baseline (n = 2,491) were classified in 2002 as antihypertensive treatment initiators or non-initiators. Inverse probability weights combined (I) a Firth-penalized logistic model for treatment initiation and (II) biennial censoring models; weighted Cox regression estimated hazard ratios (HRs) for incident dementia. To probe model dependence, we re-estimated treatment weights with a Super Learner ensemble and repeated all analyses.

Results: Groups differed on several baseline covariates, but weighting brought every standardized mean difference to <0.10. During follow-up, cumulative dementia incidence reached 15% in non-initiators and 13% in initiators. The intention-to-treat risk ratio (RR) was 0.89 (95% confidence interval [CI], 0.57-1.62); biennial RRs were likewise close to the null. Re-estimating treatment weights with a Super Learner ensemble yielded comparable covariate balance and a year-18 RR of 1.05 (0.74-1.70), essentially reproducing the primary result. Analyses accounting for competing risks of death or dropout did not materially change the estimates.

Conclusions: In this nationally representative cohort, starting antihypertensive therapy in mid-life did not meaningfully change dementia risk across 18 years. Agreement between conventional and machine-learning propensity approaches makes a large protective or harmful effect unlikely and underscores the need to explore additional strategies for dementia prevention beyond routine blood pressure pharmacotherapy.

中年降压起始与痴呆:健康与退休研究中的机器学习加权目标试验模拟。
背景:中年高血压是一种可治疗的血管性痴呆风险,但关于中年开始抗高血压药物是否能降低老年痴呆的试验证据仍不一致。本研究旨在模拟一项随机试验,以估计中年开始抗高血压治疗是否会降低随后的痴呆风险。方法:我们采用健康与退休研究数据(2002-2020年;18年随访)模拟了一项随机目标试验。2002年,年龄在45-65岁、基线时无高血压和痴呆的合格成年人(n = 2491)被分为抗高血压治疗起始者和非起始者。逆概率权重组合(I)处理启动的firth惩罚逻辑模型和(II)两年一次的审查模型;加权Cox回归估计痴呆发生率的风险比(hr)。为了探索模型依赖性,我们使用超级学习者集合重新估计处理权重,并重复所有分析。结果:各组在几个基线协变量上存在差异,但加权使每个标准化平均值差异得出结论:在这个具有全国代表性的队列中,中年开始抗高血压治疗在18年内没有显著改变痴呆风险。传统方法和机器学习倾向方法之间的一致使得不太可能产生大的保护或有害效果,并强调了探索常规血压药物治疗之外的其他预防痴呆症策略的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American journal of cardiovascular disease
American journal of cardiovascular disease CARDIAC & CARDIOVASCULAR SYSTEMS-
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