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比较三种基于证据的减轻心血管疾病负担的策略:基于个体的心脏代谢政策模拟

Comparing 3 Evidence-Based Strategies to Reduce Cardiovascular Disease Burden: An Individual-Based Cardiometabolic Policy Simulation.

作者信息

Lutze Sylvia, Bachmeier Steve, Bowman Alison, DeCleene Nicole, Jafari Hussain, Kappel Matthew, Kinuthia Caroline, Lindstedt Paulina, Lindstrom Megan, Mudambi Rajan, Razo Christian, Swedin Kjell, Flaxman Abraham, Roth Gregory

机构信息

Institute for Health Metrics and Evaluation University of Washington Seattle WA USA.

Department of Health Metrics Sciences University of Washington Seattle WA USA.

出版信息

J Am Heart Assoc. 2025 Jun 3;14(11):e039204. doi: 10.1161/JAHA.124.039204. Epub 2025 May 22.

Abstract

BACKGROUND

Understanding the real-world impact of clinical trials that change risk factors is important for health policy. We developed a microsimulation that estimates the population-level benefits in each US state of cardiometabolic interventions.

METHODS

We designed a state-specific agent-based simulation model with 51 million in silico individuals and estimated results for 2023 to 2040. Input data reflected current cardiometabolic health and the effects of interventions and risk factors. We constructed 3 health policy intervention scenarios based on randomized controlled trials proven to improve cardiometabolic population health: improved access to fixed-dose combination antihypertensive medication, a pharmacist-led intervention with phone-based reminders to increase adherence to statin and antihypertensive medications at the time they are initiated, and a community-based lifestyle and behavior intervention designed to prevent diabetes. Outcomes included CVD events, deaths, and disability-adjusted life years (DALYs).

RESULTS

Our simulation included a representative population of the United States, accurate at the age, sex, and state level. By 2040, the fixed-dose combination intervention was estimated to have prevented 776 000 (95% uncertainty interval, 578 000-956 000) CVD DALYs and 44 600 (95% uncertainty interval, 32 700-55 600) deaths annually. The pharmacist-led intervention prevented 170 000 (95% uncertainty interval, 129 000-208 000) CVD DALYs, and the community-based intervention prevented 152 000 (95% uncertainty interval, 128 000-173 000) CVD DALYs.

CONCLUSIONS

A fixed-dose combination of antihypertensives could prevent 1.2% of total CVD DALYs, with smaller benefits from adherence and lifestyle-focused programs. Impact of interventions varied by state. Providing accurate population-level estimates can help local health policy decision-makers implement the most impactful interventions.

摘要

背景

了解改变风险因素的临床试验对现实世界的影响对于卫生政策至关重要。我们开发了一种微观模拟模型,用于估计美国各州心脏代谢干预措施在人群层面的益处。

方法

我们设计了一个基于个体的特定州模拟模型,包含5100万虚拟个体,并估计了2023年至2040年的结果。输入数据反映了当前的心脏代谢健康状况以及干预措施和风险因素的影响。我们根据已证实可改善心脏代谢人群健康的随机对照试验构建了3种卫生政策干预情景:改善固定剂量复方降压药物的可及性;由药剂师主导的干预措施,通过电话提醒增加他汀类药物和降压药物起始时的依从性;以及旨在预防糖尿病的社区生活方式和行为干预。结果包括心血管疾病(CVD)事件、死亡和伤残调整生命年(DALY)。

结果

我们的模拟涵盖了具有美国代表性的人群,在年龄、性别和州层面都较为准确。到2040年,估计固定剂量复方干预措施每年可预防77.6万(95%不确定区间,57.8万 - 95.6万)心血管疾病伤残调整生命年和4.46万(95%不确定区间,3.27万 - 5.56万)例死亡。药剂师主导的干预措施预防了17万(9

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6169/12229188/947d4909f4ee/JAH3-14-e039204-g005.jpg

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