Central Obesity and Survival in Subjects With Coronary Artery Disease

Coutinho, Thais; Goel, Kashish; Sá, Daniel Corrêa de; Kragelund, Charlotte; Kanaya, Alka M.; Zeller, Marianne; Park, Jong Seon; Køber, Lars; Torp‐Pedersen, Christian; Cottin, Yves; Lorgis, Luc; Lee, Sang‐Hee; Kim, Young-Jo; Thomas, Randal J.; Roger, Véronique L.; Somers, Virend K.; López-Jiménez, Francisco

doi:10.1016/j.jacc.2010.11.058

Cited by 349 publications

(153 citation statements)

References 31 publications

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“…While some attempts are made in that direction, fat tissue is still kept out of the picture in most cases, and not evaluated in the scope of its interaction with the former two, possibly because of the difficulties in measuring the infiltrated fat into bone and muscle, as well as of the lack of consensus regarding the obesity classification. Obesity classifications in the clinical setting are often based on body mass index (BMI), and its inadequacy for the classification of individuals into normal weight, overweight and/or obese category has been addressed previously (Coutinho et al 2011). Therefore, more appropriate assessment of overweight/ obesity, especially in older individuals, is to assess the percent body fat using dual-energy X-ray absorptiometry Figure 2 A path of bone, muscle and fat tissues deterioration leading to osteosarcopenic obesity and its consequences.…”

Section: Figurementioning

confidence: 99%

Aging human body: changes in bone, muscle and body fat with consequent changes in nutrient intake

Jafarinasabian

Inglis

Reilly

et al. 2017

Journal of Endocrinology

223

147

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Aging affects almost all physiological processes, but changes in body composition and body phenotype are most observable. In this review, we focus on these changes, including loss of bone and muscle and increase in body fat or redistribution of the latter, possibly leading to osteosarcopenic obesity syndrome. We also address low-grade chronic inflammation, prevalent in aging adults and a cause of many disorders including those associated with body composition. Changes in dietary intake and nutritional requirements of older individuals, that all may lead to some disturbances on tissue and organ levels, are discussed as well. Finally, we discuss the hormonal changes in the aging body, considering each of the tissues, bone, muscle and fat as separate endocrine organs, but yet in the continuous interface and communication with each other. Although there are still many unanswered questions in this field, this review will enable the readers to better understand the aging human body and measures needing to be implemented toward reducing impaired health and disability in older individuals.

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Section: Figurementioning

confidence: 99%

Aging human body: changes in bone, muscle and body fat with consequent changes in nutrient intake

Jafarinasabian

Inglis

Reilly

et al. 2017

Journal of Endocrinology

223

147

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“…After primary PCI, patients were grouped according to anthropometric parameters as follows: BMI (<25.0, 25.0-29.9 and ≥30.0 kg/m² for normal weight, overweight and overall obesity, respectively), WC (<102/88 and ≥102/88 cm for normal weight and central obesity in males/females, respectively), WHR (<0.90/0.85 and ≥0.90/0.85 for normal weight and central obesity in males/females, respectively) and WHtR (<53/49, 53/49-62/57 and ≥63/58 for normal weight, overweight and central obesity in males/females, respectively) 4,9 . Th e groups were analyzed by baseline, as well as severity and prognostic parameters of acute STEMI.…”

Section: Data Collectionmentioning

confidence: 99%

“…While BMI determines overall obesity, other anthropometric parameters are related to central obesity where body fat is primarily located in the abdomen. Central obesity measures, especially WHtR, are stronger predictors of CVD risk than BMI 4,5 . Central obesity correlates with excessive visceral fat, which is directly associated with insulin resistance and compensatory hyperinsulinemia, dyslipidemia and infl ammatory states that synergistically lead to smooth muscle cell proliferation, calcium and cholesterol ester deposition in the artery, and fi nally to atherosclerotic vascular disease 6 .…”

Section: Introductionmentioning

confidence: 96%

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The Role of Anthropometry in Acute St-Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention

Jelavić¹,

Babić

Pintarić³

et al. 2016

ACC

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SUMMARY -Th e aim of this study was to investigate the controversial infl uence of anthropometry on clinical severity and prognosis of acute ST-elevation myocardial infarction (STEMI). We prospectively analyzed 250 patients with acute STEMI treated with primary percutaneous coronary intervention (September 2011 -September 2012. Th ey were grouped according to the following anthropometric parameters: body mass index (BMI) (<25.0, 25.0-29.9, ≥30.0 kg/m²), waist circumference (WC) (<102/88, ≥102/88 cm), waist-to-hip ratio (WHR) (<0.90/0.85, ≥0.90/0.85) and waistto-height ratio (WHtR) (<53/49, 53/49-62/57, ≥63/58). Th e groups were analyzed by baseline, as well as severity (clinical, laboratory, echocardiography, coronary angiography, in-hospital complications) and prognostic parameters (major adverse cardiovascular events and sick leave duration during 12-month follow up). Patients with BMI <25.0 kg/m 2 had the highest rates of dyspnea and those with BMI ≥30.0 kg/m² had the longest hospitalization and widest stents; patients with WHR ≥0.90/0.85 had higher rates of signifi cantly stenosed proximal/middle coronary segments, while those with WHtR ≥63/58 had the highest rates of heart failure and total in-hospital complications (p<0.05). BMI <25.0 kg/m 2 increased (odds ratio (OR) 2.00, confi dence interval (CI) [1.09-3.68], p=0.026) and BMI 25.0-29.9 kg/m 2 reduced (OR 0.52, CI [0.30-0.91], p=0.022) the risk of dyspnea; WHR ≥0.90/0.85 increased the risk of signifi cant proximal/middle coronary segment stenosis (OR 3.34,.86], p=0.029) and WHtR ≥63/58 the risk of heart failure (OR 2.05, CI [1.13-3.71], p=0.017) and total in-hospital complications (OR 1.94,], p=0.017) (p<0.05). In conclusion, WHR and WHtR are better anthropometric parameters than BMI in predicting acute STEMI severity, while WC has no infl uence on it. Anthropometry has no infl uence on prognosis.

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“…В 2013 г. T. Coutinho и соавт. [14] продемонстрировали, что ИМТ без учета ОТ не мо-жет быть критерием риска сердечно-сосудистой смертности. В исследовании участвовали 15 547 па-циентов с ИБС, причем наибольший риск смерти имели пациенты с нормальным ИМТ и абдоминаль-ным ожирением [объем талии/объем бедер -ОТ/ ОБ -0,98 -1-я группа]: риск смерти среди этих па-циентов был выше, чем у пациентов с нормальным ИМТ и ОТ/ОБ -0,89.…”

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The new paradigm of obesity

Samorodskaya¹

2014

Probl Endokrinol (Mosk)

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Despite the well-proved relationship between obesity and a number of chronic diseases, the information about the influence of the body weight on the life expectancy is contradictory. A wealth of literature publications deal with the paradoxical relation of the survival rate to obesity that manifests itself among the patients with the elevated body mass index (BMI) and moderate obesity as opposed to the patients having the normal or lowered BMI. The American Association of Endocrinologists proposed the new paradigm of the evaluation of BMI and obesity. The consensus of the Russian specialists as regards this paradigm needs to be reached in conjunction with the development of the relevant guidelines for practicing healthcare providers.

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Central Obesity and Survival in Subjects With Coronary Artery Disease

Abstract: In subjects with CAD, including those with normal and high BMI, central obesity but not BMI is directly associated with mortality.

Cited by 349 publications

References 31 publications

Aging human body: changes in bone, muscle and body fat with consequent changes in nutrient intake

Aging human body: changes in bone, muscle and body fat with consequent changes in nutrient intake

The Role of Anthropometry in Acute St-Elevation Myocardial Infarction Treated With Primary Percutaneous Coronary Intervention

The new paradigm of obesity

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