Skanda Moorthy , Zhuo Chen , Tong Zhang , Sai Rahul Ponnana , Santosh Kumar Sirasapalli , Kanimozhi Shivanantham , Haitham Khraishah , Jean-Eudes Dazard , Sadeer G. Al-Kindi , Salil V. Deo , Sanjay Rajagopalan
{"title":"美国退伍军人心血管疾病的建筑环境和不良心血管事件","authors":"Skanda Moorthy , Zhuo Chen , Tong Zhang , Sai Rahul Ponnana , Santosh Kumar Sirasapalli , Kanimozhi Shivanantham , Haitham Khraishah , Jean-Eudes Dazard , Sadeer G. Al-Kindi , Salil V. Deo , Sanjay Rajagopalan","doi":"10.1016/j.scitotenv.2025.179596","DOIUrl":null,"url":null,"abstract":"<div><h3>Question</h3><div>Can AI-extracted interpretable built environment features predict major adverse cardiovascular events (MACE) in a national veteran population?</div></div><div><h3>Findings</h3><div>In this cohort study of 770,990 U.S. veterans, seven built environment features were significantly associated with an increased risk of MACE. Two features, old/dilapidated buildings and visible wire, were associated with a decreased risk. Greenery was only linked to increased risk in higher social deprivation index quartiles.</div></div><div><h3>Meaning</h3><div>Built environment features can serve as predictors of MACE, highlighting the potential role of neighborhood characteristics in cardiovascular risk stratification beyond traditional factors.</div></div><div><h3>Importance</h3><div>The relationship between built environment features and major adverse cardiovascular events (MACE) in patients with atherosclerotic cardiovascular disease (ASCVD) remains understudied. Our study aims to discover what specific built environmental features influence cardiovascular mortality.</div></div><div><h3>Design</h3><div>Retrospective cohort study of US Veterans (2016–2021) (98 % male, 86 % white) with stable ASCVD (coronary artery disease, cerebrovascular disease, or peripheral artery disease).</div></div><div><h3>Exposures</h3><div>Built environment features were assessed using 164 million Google Street View images (2019) sampled every 50 m across the US. Eleven features, including greenery, sidewalks, and non-single-family homes, were analyzed as the percentage of images containing each element. These were summarized at the census tract level and linked to participant healthcare data via residential addresses.</div></div><div><h3>Outcome</h3><div>The primary outcome was first MACE occurrence (non-fatal myocardial infarction, non-fatal stroke, or cardiovascular mortality). Associations were analyzed using multivariable Fine Gray models, adjusting for demographics, clinical factors, the social deprivation index, and competing risks.</div></div><div><h3>Results</h3><div>Over a 4-year median follow-up, features associated with increased MACE risk included greenery (subHR: 1.054, 95 % CI: 1.047–1.061), single-lane roads (subHR: 1.059, 95 % CI: 1.054–1.065), sidewalks (subHR: 1.023, 95 % CI: 1.020–1.026), crosswalks (subHR: 1.062, 95 % CI: 1.040–1.083), non-single-family homes (subHR: 1.088, 95 % CI: 1.083–1.094), and two or more cars (subHR: 1.013, 95 % CI: 1.006–1.019). Features linked to lower MACE risk included old buildings (subHR: 0.976, 95 % CI: 0.971–0.982) and visible wiring (subHR: 0.972, 95 % CI: 0.967–0.976).</div></div><div><h3>Conclusions</h3><div>Built environment features influence MACE risk in US Veterans with ASCVD, emphasizing the role of the exposome in cardiovascular health.</div></div>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"980 ","pages":"Article 179596"},"PeriodicalIF":8.0000,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The built environment and adverse cardiovascular events in US veterans with cardiovascular disease\",\"authors\":\"Skanda Moorthy , Zhuo Chen , Tong Zhang , Sai Rahul Ponnana , Santosh Kumar Sirasapalli , Kanimozhi Shivanantham , Haitham Khraishah , Jean-Eudes Dazard , Sadeer G. Al-Kindi , Salil V. Deo , Sanjay Rajagopalan\",\"doi\":\"10.1016/j.scitotenv.2025.179596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Question</h3><div>Can AI-extracted interpretable built environment features predict major adverse cardiovascular events (MACE) in a national veteran population?</div></div><div><h3>Findings</h3><div>In this cohort study of 770,990 U.S. veterans, seven built environment features were significantly associated with an increased risk of MACE. Two features, old/dilapidated buildings and visible wire, were associated with a decreased risk. Greenery was only linked to increased risk in higher social deprivation index quartiles.</div></div><div><h3>Meaning</h3><div>Built environment features can serve as predictors of MACE, highlighting the potential role of neighborhood characteristics in cardiovascular risk stratification beyond traditional factors.</div></div><div><h3>Importance</h3><div>The relationship between built environment features and major adverse cardiovascular events (MACE) in patients with atherosclerotic cardiovascular disease (ASCVD) remains understudied. Our study aims to discover what specific built environmental features influence cardiovascular mortality.</div></div><div><h3>Design</h3><div>Retrospective cohort study of US Veterans (2016–2021) (98 % male, 86 % white) with stable ASCVD (coronary artery disease, cerebrovascular disease, or peripheral artery disease).</div></div><div><h3>Exposures</h3><div>Built environment features were assessed using 164 million Google Street View images (2019) sampled every 50 m across the US. Eleven features, including greenery, sidewalks, and non-single-family homes, were analyzed as the percentage of images containing each element. These were summarized at the census tract level and linked to participant healthcare data via residential addresses.</div></div><div><h3>Outcome</h3><div>The primary outcome was first MACE occurrence (non-fatal myocardial infarction, non-fatal stroke, or cardiovascular mortality). Associations were analyzed using multivariable Fine Gray models, adjusting for demographics, clinical factors, the social deprivation index, and competing risks.</div></div><div><h3>Results</h3><div>Over a 4-year median follow-up, features associated with increased MACE risk included greenery (subHR: 1.054, 95 % CI: 1.047–1.061), single-lane roads (subHR: 1.059, 95 % CI: 1.054–1.065), sidewalks (subHR: 1.023, 95 % CI: 1.020–1.026), crosswalks (subHR: 1.062, 95 % CI: 1.040–1.083), non-single-family homes (subHR: 1.088, 95 % CI: 1.083–1.094), and two or more cars (subHR: 1.013, 95 % CI: 1.006–1.019). Features linked to lower MACE risk included old buildings (subHR: 0.976, 95 % CI: 0.971–0.982) and visible wiring (subHR: 0.972, 95 % CI: 0.967–0.976).</div></div><div><h3>Conclusions</h3><div>Built environment features influence MACE risk in US Veterans with ASCVD, emphasizing the role of the exposome in cardiovascular health.</div></div>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\"980 \",\"pages\":\"Article 179596\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2025-05-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0048969725012379\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0048969725012379","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The built environment and adverse cardiovascular events in US veterans with cardiovascular disease
Question
Can AI-extracted interpretable built environment features predict major adverse cardiovascular events (MACE) in a national veteran population?
Findings
In this cohort study of 770,990 U.S. veterans, seven built environment features were significantly associated with an increased risk of MACE. Two features, old/dilapidated buildings and visible wire, were associated with a decreased risk. Greenery was only linked to increased risk in higher social deprivation index quartiles.
Meaning
Built environment features can serve as predictors of MACE, highlighting the potential role of neighborhood characteristics in cardiovascular risk stratification beyond traditional factors.
Importance
The relationship between built environment features and major adverse cardiovascular events (MACE) in patients with atherosclerotic cardiovascular disease (ASCVD) remains understudied. Our study aims to discover what specific built environmental features influence cardiovascular mortality.
Design
Retrospective cohort study of US Veterans (2016–2021) (98 % male, 86 % white) with stable ASCVD (coronary artery disease, cerebrovascular disease, or peripheral artery disease).
Exposures
Built environment features were assessed using 164 million Google Street View images (2019) sampled every 50 m across the US. Eleven features, including greenery, sidewalks, and non-single-family homes, were analyzed as the percentage of images containing each element. These were summarized at the census tract level and linked to participant healthcare data via residential addresses.
Outcome
The primary outcome was first MACE occurrence (non-fatal myocardial infarction, non-fatal stroke, or cardiovascular mortality). Associations were analyzed using multivariable Fine Gray models, adjusting for demographics, clinical factors, the social deprivation index, and competing risks.
Results
Over a 4-year median follow-up, features associated with increased MACE risk included greenery (subHR: 1.054, 95 % CI: 1.047–1.061), single-lane roads (subHR: 1.059, 95 % CI: 1.054–1.065), sidewalks (subHR: 1.023, 95 % CI: 1.020–1.026), crosswalks (subHR: 1.062, 95 % CI: 1.040–1.083), non-single-family homes (subHR: 1.088, 95 % CI: 1.083–1.094), and two or more cars (subHR: 1.013, 95 % CI: 1.006–1.019). Features linked to lower MACE risk included old buildings (subHR: 0.976, 95 % CI: 0.971–0.982) and visible wiring (subHR: 0.972, 95 % CI: 0.967–0.976).
Conclusions
Built environment features influence MACE risk in US Veterans with ASCVD, emphasizing the role of the exposome in cardiovascular health.
期刊介绍:
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.