Comparison of Body Mass Index and Waist/Height Ratio in Predicting Definite Coronary Artery Disease

2008 ◽  
Vol 53 (3-4) ◽  
pp. 162-166 ◽  
Author(s):  
M. Siavash ◽  
M. Sadeghi ◽  
F. Salarifar ◽  
M. Amini ◽  
F. Shojaee-Moradie
2014 ◽  
Vol 7 (1) ◽  
pp. 246 ◽  
Author(s):  
Khandker MD Sabah ◽  
Abdul Chowdhury ◽  
HI Luftur Khan ◽  
ATM Hasan ◽  
Serajul Haque ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 449-P
Author(s):  
TAKESHI KOMATSU ◽  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
TAKAAKI SATO ◽  
MASARU KITAZAWA ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Mostafa Q. Alshamiri ◽  
Faisal Mohd A Habbab ◽  
Saad Saeed AL-Qahtani ◽  
Khalil Abdullah Alghalayini ◽  
Omar Mohammed Al-Qattan ◽  
...  

This study aims to study the efficiency of the Waist-to-Height Ratio (WHtR) for determining coronary artery disease. It compares the frequency of abnormal WHtR, as a proxy for abdominal obesity, to that of body mass index (BMI) and waist circumference (WC). It also relates the findings to other cardiometabolic risk factors in University Hospital patients. A cross-sectional study design was used, where a sample of 200 patients (142 males and 58 females) who attended the adult cardiac clinic were purposively included. BMI, WC, and WHtR were measured, where frequencies of WHtR were compared to those of BMI and WC. The findings were related to the history of coronary artery disease (CAD) and history of cardiometabolic risk factors, including diabetes mellitus (DM), hypertension (HTN), and hyperlipidemia. Majority of the male patients were older, taller, and had a lower BMI value. It also showed that the prevalence of dyslipidemia and CAD was higher in male patients. No significant difference between both genders was noticed for weight, WC, WHtR, hypertension, or DM. BMI was least associated with high-risk cardiac population in both males and females (39.4% and 60.3%), followed by WC (84.5% and 96.6%, respectively). WHtR showed the highest association with gender (male 98.6% and females 98.3%). These findings were noticed in patients with all risk factors. WHtR is superior to BMI and WC for determining the elevated risk of diabetes, hypertension, dyslipidemia, and CAD in a single university institute. The role of WHtR in both normal and diseased Saudi population should be delineated.


2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Anne B. Gregory ◽  
Kendra K. Lester ◽  
Deborah M. Gregory ◽  
Laurie K. Twells ◽  
William K. Midodzi ◽  
...  

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.


Heart Asia ◽  
2015 ◽  
Vol 7 (2) ◽  
pp. 12-18 ◽  
Author(s):  
Hirofumi Hioki ◽  
Takashi Miura ◽  
Hirohiko Motoki ◽  
Hideki Kobayashi ◽  
Masanori Kobayashi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document