Body fat percentage and infarct size in patients with non-ST segment elevation myocardial infarction

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 s...

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Bibliographic Details
Published in:Northern Clinics of Istanbul 2023-01, Vol.10 (5), p.567-574
Main Authors: Sungur, Aylin, Sungur, Mustafa Azmi, Simsek, Baris, Tezen, Ozan, Yumurtas, Ahmet Cagdas, Inan, Duygu, Genc, Duygu, Can, Fatma, Karabay, Can Yucel
Format: Article
Language:English
Subjects:
Angiography
Blood cell count
Blood pressure
Body fat
Body mass index
Cardiology
Cardiovascular disease
Care and treatment
Coronary vessels
Creatine
Creatine kinase
Development and progression
Diabetes
Ejection fraction
Heart attack
Heart attacks
Hemoglobin
Hypertension
Leukocytes
Medical imaging
Medical research
Medicine, Experimental
Obesity
Original
Patients
Prognosis
Regression analysis
Type 2 diabetes
Vein & artery diseases
World health
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Summary: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 (CKMB) 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]).sup.2] formula. Patients were dichotomized as obese (BMI [greater than or equal to] 30 kg/[m.sup.2]) and non-obese (BMI
ISSN:2148-4902
2536-4553
DOI:10.14744/nci.2023.87259