"Obesity paradox" and Cardiovascular Disease: Myth or a Better Clinical Outcome?
Received: 19-Nov-2015 / Accepted Date: 26-Nov-2015 / Published Date: 03-Dec-2015 DOI: 10.4172/2471-9919.1000e102
41415Introduction
is linked to traditional cardiovascular risk factors like, metabolic syndrome, hypertension, hyperlipidemia and diabetes, dyslipidemia, diabetes mellitus, sleep apnoea syndrome, reduced insulin sensitivity, enhanced free fatty acid turnover, increased basal sympathetic tone, a hypercoagulable state, systemic inflammation and suspected to incur increased morbidity and mortality [1-6].
Body Mass Index (BMI) is a patient's weight in kilograms divided by the square of height in meters. BMI to define underweight, normal weight, overweight, and various classes of obesity (Table 1) [7-10].
| Classification | BMI | Risk of Developing Health Problems |
|---|---|---|
| Underweight | 18.5 | Increased |
| Ideal BMI | 18.5–24.9 | Least |
| Overweight | 25-30 | Increased |
| Obese I | 30.0–34.9 | High |
| Obese II | 35.0–39.9 | Very high |
| Obese III | >40 | Extremely high |
| Super Obese | >50 | Super high |
Table 1: BMI classification.
Hansel and colleagues report a study to explore the relation between BMI and cardiovascular (CV) disease, and the influence of optimal medical therapy (OMT) on this relationship. Patients from the REACH cohort with or at high risk of atherosclerosis, were followed up to 4 years (n=54 285). Patients were categorized according to baseline BMI (underweight to Grade III obesity). OMT was defined as the use of the four cardioprotective medication classes (statins, ACE inhibitors/ angiotensin II receptor blockers, β-blockers, and antiplatelet agents). The main outcomes were all-cause mortality, CV mortality, and CV events. In primary and secondary prevention, a reverse J-shaped curve best described the relationship between BMI categories and the incidence of the various outcomes. In secondary prevention, the highest adjusted risks were observed for underweight patients (1.97, P<0.01, and 1.29, P=0.03, for CV mortality and CV events) and the lowest HRs were observed, respectively, in Grade II and Grade III obese patients (0.73, P<0.01 and 0.80, P<0.01). The patients on OMT increased with BMI from 10.1 to 36% (P<0.001) [11].
Obesity paradox was observed in both primary and secondary CV prevention patients. A large cohort study should be conducted to definitively determine the clinical significance of obesity paradox, its correlation with the primary and secondary prevention. Potential treatments such as lifestyle modification, ectopic fat reduction, and medications should be investigated.
References
- Roever L, Resende ES (2014) Coronary Microvascular Dysfunction. International Journal of Cardiovascular Sciences 28:152-159.
- Roever L, Resende, ES (2015) Cut off Values of Epicardial Fat in Metabolic Syndrome, Cardiovascular Risk Factors, Coronary and Carotid Stenosis. Journal of Metabolic Syndromee 116.
- Akin I, Nienaber CA (2015) "Obesity paradox" in coronary artery disease. World J Cardiol 7:603-608.
- Expert Consultation (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157芒鈧��163.
- Obesity: Preventing and Managing the Global Epidemic: Report of a WHO Consultation. Geneva, Switzerland: World Health Organization, 2000 (WHO technical report series 894).
Citation: Roever L,ACP C(2016) "Obesity paradox" and Cardiovascular Disease: Myth or a Better Clinical Outcome? . Evidence Based Medicine and Practice 1: e102. DOI: 10.4172/2471-9919.1000e102
Copyright: © 2015 Roever L, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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