{"title":"Association of cardiometabolic index and risk of stroke: A systematic review and meta-analysis","authors":"Prakasini Satapathy , Muhammed Shabil , Mahalaqua Nazli Khatib , Subbulakshmi Ganesan , Mandeep Kaur , Manish Srivastava , Amit Barwal , G.V. Siva Prasad , Pranchal Rajput , Syed Rukshar , Kamal Kundra , Kratika Sharma , Diptismitha Jena , Frederick Sidney Correa , Abhinav Rathour , Ganesh Bushi , Rachana Mehta , Sanjit Sah , Shilpa Gaidhane , Shailesh Kumar Samal","doi":"10.1016/j.jstrokecerebrovasdis.2025.108337","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Stroke remains a leading cause of morbidity and mortality worldwide, contributing significantly to public health burdens. Cardiovascular and metabolic risk factors such as diabetes, hypertension, obesity, and dyslipidaemia are strongly associated with an increased risk of stroke. The cardio-metabolic index (CMI), which integrates these factors into a single measure, has emerged as a potential predictor of stroke. This systematic review and meta-analysis intended to examine the link between CMI and risk of stroke, offering an in-depth evaluation of its predictive value</div></div><div><h3>Methods</h3><div>A systematic search was conducted in PubMed, Embase, and Web of Science until 10 December 2024. The inclusion criteria focused on observational studies (cohort, cross-sectional, and case-control) that reported original data on the association of CMI and stroke risk. Data extraction was standardized, and quality was assessed using the Newcastle-Ottawa Scale. Meta-analysis was performed using a random effects model in R software version 4.4</div></div><div><h3>Results</h3><div>From 545 articles initially retrieved, with 5 studies met inclusion criteria, encompassing over 100,000 participants. Meta-analysis showed a significant association between elevated CMI and stroke risk with a pooled RR of 1.66 (95 % CI: 1.25 to 2.20). A subgroup analysis of cohort studies yielded a pooled HR of 1.63 (95 % CI: 1.21 to 2.21). There was no significant heterogeneity across studies (I² = 0 %).</div></div><div><h3>Conclusion</h3><div>Our findings demonstrated a strong association between elevated CMI and an increased risk of stroke. CMI, by integrating multiple cardiovascular and metabolic factors, serves as a comprehensive predictor of stroke risk. Incorporating CMI into routine health screenings could enhance early identification and prevention efforts, ultimately aiding in the reduction of stroke incidence.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"34 8","pages":"Article 108337"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stroke & Cerebrovascular Diseases","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1052305725001156","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Stroke remains a leading cause of morbidity and mortality worldwide, contributing significantly to public health burdens. Cardiovascular and metabolic risk factors such as diabetes, hypertension, obesity, and dyslipidaemia are strongly associated with an increased risk of stroke. The cardio-metabolic index (CMI), which integrates these factors into a single measure, has emerged as a potential predictor of stroke. This systematic review and meta-analysis intended to examine the link between CMI and risk of stroke, offering an in-depth evaluation of its predictive value
Methods
A systematic search was conducted in PubMed, Embase, and Web of Science until 10 December 2024. The inclusion criteria focused on observational studies (cohort, cross-sectional, and case-control) that reported original data on the association of CMI and stroke risk. Data extraction was standardized, and quality was assessed using the Newcastle-Ottawa Scale. Meta-analysis was performed using a random effects model in R software version 4.4
Results
From 545 articles initially retrieved, with 5 studies met inclusion criteria, encompassing over 100,000 participants. Meta-analysis showed a significant association between elevated CMI and stroke risk with a pooled RR of 1.66 (95 % CI: 1.25 to 2.20). A subgroup analysis of cohort studies yielded a pooled HR of 1.63 (95 % CI: 1.21 to 2.21). There was no significant heterogeneity across studies (I² = 0 %).
Conclusion
Our findings demonstrated a strong association between elevated CMI and an increased risk of stroke. CMI, by integrating multiple cardiovascular and metabolic factors, serves as a comprehensive predictor of stroke risk. Incorporating CMI into routine health screenings could enhance early identification and prevention efforts, ultimately aiding in the reduction of stroke incidence.
期刊介绍:
The Journal of Stroke & Cerebrovascular Diseases publishes original papers on basic and clinical science related to the fields of stroke and cerebrovascular diseases. The Journal also features review articles, controversies, methods and technical notes, selected case reports and other original articles of special nature. Its editorial mission is to focus on prevention and repair of cerebrovascular disease. Clinical papers emphasize medical and surgical aspects of stroke, clinical trials and design, epidemiology, stroke care delivery systems and outcomes, imaging sciences and rehabilitation of stroke. The Journal will be of special interest to specialists involved in caring for patients with cerebrovascular disease, including neurologists, neurosurgeons and cardiologists.