Ali Salman, Muhammad Saad, Ruqiat Masooma Batool, Zainab Siddiqua Ibrahim, Saad Ahmed Waqas, Syed Zaeem Ahmed, Syed Ibad Ahsan, Eliza Aisha, Haiqa Aamer, Muhammad Umer Sohail, Ifrah Ansari, Muhammad Khalid Afridi, Fatima Aman Makda, Jazza Aamir
{"title":"Obesity paradox in coronary artery disease: national inpatient sample analysis.","authors":"Ali Salman, Muhammad Saad, Ruqiat Masooma Batool, Zainab Siddiqua Ibrahim, Saad Ahmed Waqas, Syed Zaeem Ahmed, Syed Ibad Ahsan, Eliza Aisha, Haiqa Aamer, Muhammad Umer Sohail, Ifrah Ansari, Muhammad Khalid Afridi, Fatima Aman Makda, Jazza Aamir","doi":"10.1097/MCA.0000000000001479","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Although existing literature highlights obesity as a significant predictor for coronary artery disease (CAD), the impact of BMI on hospital outcomes among CAD patients remains unclear.</p><p><strong>Methods: </strong>We extracted data from the National Inpatient Sample database for adult patients with CAD from 2018 to 2020. The study cohort was stratified into six BMI categories: underweight, normal weight, overweight, class I obesity, class II obesity, and class III obesity. Using multivariable logistic and linear regression, we assessed the impact of BMI on in-hospital mortality, length of stay (LOS), and inflation-adjusted total charges.</p><p><strong>Results: </strong>We identified a total of 3 693 570 hospitalizations (mean age: 69 ± 12 years). Underweight individuals had the highest in-hospital mortality rate (6.8%), followed by normal weight (5.2%), overweight (3.2%), class III obese (2.5%), class I obese (1.9%), and class II obese (1.8%) individuals. After adjusting for covariates, underweight patients had higher odds of in-hospital mortality compared to normal-weight individuals [odds ratio (OR), 1.38; 95% confidence interval (CI), 1.31-1.45; P < 0.001], while overweight or obese individuals had lower odds: overweight (OR, 0.75; 95% CI, 0.70-0.79; P < 0.001), obese class I: (OR, 0.54; 95% CI, 0.51-0.57; P < 0.001), obese class II: (OR, 0.56; 95% CI, 0.53-0.59; P < 0.001), obese class III: (OR, 0.78; 95% CI, 0.74-0.82; P < 0.001). Normal weight and underweight patients had the longest median LOS [5 days (3.0-9.0)]. Overweight patients incurred the highest total charges [$53 730 (28 587-105 184)].</p><p><strong>Conclusion: </strong>Underweight patients experienced higher, while overweight and obese patients experienced lower in-hospital mortality than normal-weight patients, suggesting a protective effect of higher BMI against mortality in CAD.</p>","PeriodicalId":10702,"journal":{"name":"Coronary artery disease","volume":"36 4","pages":"294-302"},"PeriodicalIF":1.5000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Coronary artery disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MCA.0000000000001479","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Although existing literature highlights obesity as a significant predictor for coronary artery disease (CAD), the impact of BMI on hospital outcomes among CAD patients remains unclear.
Methods: We extracted data from the National Inpatient Sample database for adult patients with CAD from 2018 to 2020. The study cohort was stratified into six BMI categories: underweight, normal weight, overweight, class I obesity, class II obesity, and class III obesity. Using multivariable logistic and linear regression, we assessed the impact of BMI on in-hospital mortality, length of stay (LOS), and inflation-adjusted total charges.
Results: We identified a total of 3 693 570 hospitalizations (mean age: 69 ± 12 years). Underweight individuals had the highest in-hospital mortality rate (6.8%), followed by normal weight (5.2%), overweight (3.2%), class III obese (2.5%), class I obese (1.9%), and class II obese (1.8%) individuals. After adjusting for covariates, underweight patients had higher odds of in-hospital mortality compared to normal-weight individuals [odds ratio (OR), 1.38; 95% confidence interval (CI), 1.31-1.45; P < 0.001], while overweight or obese individuals had lower odds: overweight (OR, 0.75; 95% CI, 0.70-0.79; P < 0.001), obese class I: (OR, 0.54; 95% CI, 0.51-0.57; P < 0.001), obese class II: (OR, 0.56; 95% CI, 0.53-0.59; P < 0.001), obese class III: (OR, 0.78; 95% CI, 0.74-0.82; P < 0.001). Normal weight and underweight patients had the longest median LOS [5 days (3.0-9.0)]. Overweight patients incurred the highest total charges [$53 730 (28 587-105 184)].
Conclusion: Underweight patients experienced higher, while overweight and obese patients experienced lower in-hospital mortality than normal-weight patients, suggesting a protective effect of higher BMI against mortality in CAD.
期刊介绍:
Coronary Artery Disease welcomes reports of original research with a clinical emphasis, including observational studies, clinical trials, translational research, novel imaging, pharmacology and interventional approaches as well as advances in laboratory research that contribute to the understanding of coronary artery disease. Each issue of Coronary Artery Disease is divided into four areas of focus: Original Research articles, Review in Depth articles by leading experts in the field, Editorials and Images in Coronary Artery Disease. The Editorials will comment on selected original research published in each issue of Coronary Artery Disease, as well as highlight controversies in coronary artery disease understanding and management.
Submitted artcles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.