The Relationship between Body Mass Index and the Severity of Coronary Artery Disease in Patients Referred for Coronary Angiography.
Anne B GregoryKendra K LesterDeborah M GregoryLaurie K TwellsWilliam K MidodziNeil J PearcePublished in: Cardiology research and practice (2017)
Background and Aim. Obesity is associated with an increased risk of cardiovascular disease and may be associated with more severe coronary artery disease (CAD); however, the relationship between body mass index [BMI (kg/m2)] and CAD severity is uncertain and debatable. The aim of this study was to examine the relationship between BMI and angiographic severity of CAD. Methods. Duke Jeopardy Score (DJS), a prognostic tool predictive of 1-year mortality in CAD, was assigned to angiographic data of patients ≥18 years of age (N = 8,079). Patients were grouped into 3 BMI categories: normal (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (≥30 kg/m2); and multivariable adjusted hazard ratios for 1-year all-cause and cardiac-specific mortality were calculated. Results. Cardiac risk factor prevalence (e.g., diabetes, hypertension, and hyperlipidemia) significantly increased with increasing BMI. Unadjusted all-cause and cardiac-specific 1-year mortality tended to rise with incremental increases in DJS, with the exception of DJS 6 (p < 0.001). After adjusting for potential confounders, no significant association of BMI and all-cause (HR 0.70, 95% CI .48-1.02) or cardiac-specific (HR 1.11, 95% CI .64-1.92) mortality was found. Conclusions. This study failed to detect an association of BMI with 1-year all-cause or cardiac-specific mortality after adjustment for potential confounding variables.
Keyphrases
- coronary artery disease
- body mass index
- end stage renal disease
- cardiovascular events
- cardiovascular disease
- weight gain
- risk factors
- type diabetes
- chronic kidney disease
- left ventricular
- ejection fraction
- newly diagnosed
- blood pressure
- weight loss
- metabolic syndrome
- peritoneal dialysis
- prognostic factors
- insulin resistance
- physical activity
- percutaneous coronary intervention
- skeletal muscle
- risk assessment
- patient reported outcomes
- heart failure
- bariatric surgery
- high fat diet induced
- artificial intelligence
- electronic health record
- big data
- deep learning
- drug induced
- patient reported
- transcatheter aortic valve replacement
- glycemic control