scholarly journals Study of relation between Body Mass Index (BMI) and Angiographically severity of Coronary Artery Disease

KYAMC Journal ◽  
2013 ◽  
Vol 1 (2) ◽  
pp. 39-42
Author(s):  
Md. Saiful Islam ◽  
Ranjan Talukder ◽  
Annaz Mus Sakib ◽  
AKM Mokhlesuzzaman

Background: Increased body mass index (BMI) is known to be related to ischaemic heart disease (IHD) in populations where many are overweight (BMI ? 25 kg/m2) or obese (BMI ? 30). Substantial uncertainty remains, however, about the relationship between BMI and severity of Coronary artery disease. Methods and Results: Total 152 patients undergoing coronary angiography for clinical indication (eg; stable angina, unstable angina, STEMI, NSTEMI). Among them 88.15% male and 11.84% female.6.57% were under weight, 69.07% were normal weight, 20.39% were over weight and 3.94% were obese or morbid obese. Normal & minimal coronary artery disease more common in under weight & normal weight patient ( 60% in underweight patient, 21.88% in normal weight patient compare to 16.12% in over weight & obese person). Tripple Vessel disease are more common in over weight and obese person (45.16% in over weight and 50% in obese person compare to 10% in under weight and 33.33% in nonmal weight person). Conclusion: In patients with established Ischemic heart disease, Increase BMI was associated with increase number of coronary lesion ( doable and tripple vessel disease more common in over weight and obese person). DOI: http://dx.doi.org/10.3329/kyamcj.v1i2.13312KYAMC Journal Vol.1(2) 2011 pp.39-42

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

2021 ◽  
Vol 10 (5) ◽  
pp. 943
Author(s):  
Bartosz Hudzik ◽  
Justyna Nowak ◽  
Janusz Szkodzinski ◽  
Aleksander Danikiewicz ◽  
Ilona Korzonek-Szlacheta ◽  
...  

Background and Aims: Body-mass index (BMI) is a popular method implemented to define weight status. However, describing obesity by BMI may result in inaccurate assessment of adiposity. The Body Adiposity Index (BAI) is intended to be a directly validated method of estimating body fat percentage. We set out to compare body weight status assessment by BMI and BAI in a cohort of elderly patients with stable coronary artery disease (CAD). Methods: A total of 169 patients with stable CAD were enrolled in an out-patient cardiology clinic. The National Research Council (US) Committee on Diet and Health classification was used for individuals older than 65 years as underweight BMI < 24 kg/m2, normal weight BMI 24–29 kg/m2, overweight BMI 29–35 kg/m2, and obesity BMI > 35 kg/m2. In case of BAI, we used sex- and age-specific classification of weight status. In addition, body fat was estimated by bioelectrical impedance analysis (BImpA). Results: Only 72 out of 169 patients (42.6%) had concordant classification of weight status by both BMI and BAI. The majority of the patients had their weight status either underestimated or overestimated. There were strong positive correlations between BMI and BImpA (FAT%) (R = 0.78 p < 0.001); BAI and BImpA (FAT%) (R = 0.79 p < 0.001); and BMI and BAI (R = 0.67 p < 0.001). BMI tended to overestimate the rate of underweight, normal weight or overweight, meanwhile underestimating the rate of obesity. Third, BMI exhibited an average positive bias of 14.4% compared to the reference method (BImpA), whereas BAI exhibited an average negative bias of −8.3% compared to the reference method (BImpA). Multivariate logistic regression identified independent predictors of discordance in assessing weight status by BMI and BAI: BImpA (FAT%) odds ratio (OR) 1.29, total body water (%) OR 1.61, fat mass index OR 2.62, and Controlling Nutritional Status (CONUT) score OR 1.25. Conclusions: There is substantial rate of misclassification of weight status between BMI and BAI. These findings have significant implications for clinical practice as the boundary between health and disease in malnutrition is crucial to accurately define criteria for intervention. Perhaps BMI cut-offs for classifying weight status in the elderly should be revisited.


1970 ◽  
Vol 1 (2) ◽  
pp. 169-173 ◽  
Author(s):  
MS Kabir ◽  
AAs Majumder ◽  
MS Bari ◽  
AW Chowdhury ◽  
AM Islam

Background: Besides conventional classic risk factors of ischaemic heart disease other variables that have come under scrutiny for their potential contribution include estrogen deficiency, lipoprotein (a), plasma fibrinogen, plasminogen-activator inhibitor type I, endogenous tissue plasminogen activator (tPA), C-reactive protein and homocysteine. A number of studies have been undertaken worldwide shows strong correlation of raised fasting plasma homocysteine level with the development of atherosclerotic vascular diseases, myocardial infarction or increasing severity of coronary artery diseases. Objective: To find out the correlation of fasting plama homocysteine level with the severity of coronary artery disease in our population. Method: We undertook a study involving 100 patients of ischaemic heart disease (determined clinically & by non-invasive tests) in National Institute of Cardiovascular Diseases, Dhaka, Bangladesh, over the period of one year from January 2003 to December 2003. Out of 100 patients, 50 patients having normal homocysteine level were considered as control and another 50 patients having raised plasma homocysteine level were taken as cases. Result: Out of 50 patients, 20% had single vessel disease, 48% had double vessel disease and 32% had 3 vessel diseases. On the other hand in control group 10% patients had normal coronary artery disease, 40% had single vessel disease, 32% had double vessel disease and 18% had triple vessel disease. Conclusion: The study showed significant increase in number of coronary artery involvement by atherosclerotic lesions with increasing levels of plasma homocysteine level. Key words: Homocysteine; Coronary artery disease; Coronary angiogram. DOI: http://dx.doi.org/10.3329/cardio.v1i2.8124 Cardiovasc. j. 2009; 1(2) : 169-173


2018 ◽  
Vol 15 (2) ◽  
pp. 21-24
Author(s):  
Ravi Sahi ◽  
Arun Sayami ◽  
Ratna Mani Gajurel ◽  
Chandra Mani Poudel ◽  
Hemant Shrestha ◽  
...  

Background and Aims: Coronary artery disease (CAD) constitute a major cause of cardiovascular morbidity and mortality worldwide with an enormous burden on healthcare resources. Prevalence and pattern of CAD in patients of rheumatic and non-rhemuatic valvular heart diseases varies widely with limited data on optimal strategies for diagnosis and treatment.Methods: This study includes 97 patients with rheumatic and non-rheumatic valvular heart disease who underwent coronary angiogram (CAG) before cardiac surgery. Patients were divided into two groups based on rheumatic heart disease (RHD) & non-rheumatic disease (Non-RHD) and correlate the patterns of CAD.Results: Out of 97 patients, 22 (22.6%) patients were found to have significant CAD. In patients with non-rheumatic origin CAD was common (15 patients, 68.1%) as compared to rheumatic origin (7 patients, 31. 8%). In rheumatic origin, the prevalence was 7(12.2%) out of 57 patients while in non-rheumatic origin, was 15(37.5%) out of 40 patients. In RHD group, all patients with CAD were found to have single vessel diease (SVD) while, in non-RHD group, 11 patients (73.3%) had SVD, 3 patients (16.7%) had double vessel disease (DVD) and one patient (5.6%) had triple vessel disease (TVD).Conclusions: Prevalence of CAD is higher in patients with non-RHD in comparison to those with RHD. We also found SVD to be the most common pattern of CAD in both rheumatic and non-rheumatic valvular heart disease.


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 ◽  
...  

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