医学
破折号
治疗饮食
危险系数
心肌梗塞
内科学
血压
混淆
比例危险模型
随机对照试验
冲程(发动机)
观察研究
物理疗法
置信区间
机械工程
计算机科学
工程类
操作系统
作者
Nadia E Bonekamp,Esther Cruijsen,Frank L.J. Visseren,Yvonne T. van der Schouw,Johanna M. Geleijnse,Charlotte Koopal
标识
DOI:10.1016/j.clnu.2023.06.033
摘要
Background & Aims The Dietary Approaches to Stop Hypertension (DASH) diet has been shown to effectively reduce blood pressure and body weight, but its effectiveness for reducing (cardiovascular) mortality rates has never been assessed in a clinical trial. Causal effects of dietary interventions are difficult to measure, due to practical limitations of randomized controlled diet trials. Target trial emulation can be used to improve causal inference in observational data. The aim of this study was to emulate a target trial assessing the relationship between compliance with the DASH diet and cardiovascular and all-cause mortality risk in patients with established CVD. Methods Using data from the Alpha Omega Cohort, we emulated a DASH diet trial in patients with a history of myocardial infarction (MI). Inverse probability of treatment weighting (IPTW) was used to balance confounders over DASH-compliant and non-DASH-compliant participants. Hazard ratios (HRs) were estimated with IPT-weighted Cox models. Results Of 4,365 patients (79% male, median age 69 years, >80% treated with lipid- and blood pressure-lowering medication), 598 were classified as DASH-compliant (compliance score ≥5 out of 9). During a median follow-up of 12.4 years, 2,035 deaths occurred of which 903 (44%) were of cardiovascular origin. DASH compliance was not associated with all-cause mortality (HR 0.92, 95%CI 0.0.80-1.06) and cardiovascular mortality (HR 0.90, 95%CI 0.72-1.11). Conclusions In an emulated target trial on the DASH diet in the Alpha Omega cohort no relation was found between DASH compliance and risk of all-cause and cardiovascular mortality in patients with a history of MI. The DASH diet’s effects may have been modified in this population by concomitant use of blood pressure-lowering medications.
科研通智能强力驱动
Strongly Powered by AbleSci AI