Key result
Higher body fat percentage linked to smaller infarct size in NSTEMI patients.
Why the study?
Although obesity increases coronary artery disease risk, obese patients often have a more favorable prognosis once disease develops (the obesity paradox). The authors evaluated the effect of obesity assessed by body fat percentage and relative fat mass, beyond BMI, on infarct size in NSTEMI.
Does higher body fat percentage reduce infarct size in patients with NSTEMI?
Observational (n=748)
No
Does higher body fat percentage reduce infarct size in patients with NSTEMI?
Higher body fat percentage is independently associated with smaller infarct size in NSTEMI patients, supporting the obesity paradox.
Answers are grounded in this paper and cite their sources.
Higher body fat percentage was associated with smaller infarct size in NSTEMI; leaves open whether this reflects protection or confounding and requires prospective confirmation.
O besity is a growing global health issue with in- creased mortality in the general population [1].The World Health Organization reported that, in 2016, over 650 million adults (13% of the adult population) were obese [2].Obesity, abnormal accumulation of fat in the body, is defined as body mass index (BMI) ≥30 kg/m 2 .BMI is calculated from weight and height measurements and is widely used as an indicator of obesity, although it does not consider body composition or fat distribution.Therefore, a need to consider other indices in addition ABSTRACT OBJECTIVE: Obesity is a global health problem that increases the risk of coronary artery disease (CAD).However in studies, it has been observed that when the disease develops, obese patients have a more favorable prognosis than leaner patients.This is called the "obesity paradox."This study aims to evaluate the effect of obesity assessed with body fat percentage (BFP) and relative fat mass (RFM) besides body mass index (BMI) on infarct size (IS) estimated from peak creatine kinase-MB (CK-MB) levels in patients with non-ST-segment elevation myocardial infarction (NSTEMI). METHODS:Patients with a diagnosis of NSTEMI who underwent coronary angiography between January 2017 and January 2022 were retrospectively evaluated.Patients without available anthropometric data to calculate BMI, BFP, and RFM and serial CK-MB measurements were excluded from the study.BMI was calculated using weight(kg)/(height[m]) 2 formula.Patients were dichotomized as obese (BMI≥30 kg/m 2 ) and non-obese (BMI<30 kg/m 2 ) to compare baseline characteristics.BFP and RFM were calculated from anthropometric data.Linear regression analysis was performed to define predictors of IS. RESULTS:Final study population consisted of 748 NSTEMI patients (mean age was 59.3±11.2years, 76.3% were men, 36.1% of the patients were obese).Obese patients were more likely to be female, hypertensive, and diabetic.Smoking was less frequently observed in obese patients.Peak CK-MB levels were similar among groups.Obese patients had higher in-hospital left ventricular ejection fraction, and less severe CAD was observed in coronary angiographies of these patients.Multivariable regression analysis identified diabetes mellitus, systolic blood pressure, white blood cell count, hemoglobin, and BFP (β=-4.8,95% CI=-8.7;-0.3, p=0.03) as independent predictors of IS.CONCLUSION: Higher BFP is associated with smaller IS in NSTEMI patients.These findings support the obesity paradox in this patient group, but further, randomized controlled studies are required.
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A 2023 study conducted an observational in Non-ST-segment elevation myocardial infarction (NSTEMI) (n=748). Body fat percentage vs. Lower body fat percentage was evaluated on Infarct size estimated from peak CK-MB levels (β=-4.8, 95% CI -8.7 to -0.3, p=0.03). Higher body fat percentage was independently associated with smaller infarct size (β=-4.8) in patients with non-ST-segment elevation myocardial infarction.
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