Obesity is associated with a number of risk factors for cardiovascular disease. Body mass index (BMI) is the most commonly recommended and used anthropometric measure to classify general obesity in clinical and epidemiological studies. It is widely accepted that obesity increases the risk of heart disease and is thought to be a risk factor for adverse outcomes after cardiac surgery. However, recent studies show paradoxical results, wherein obese patients can experience fewer adverse events and lower mortality than patients with normal-low body mass index(BMI) . The discriminative capacity of BMI has been criticized because it cannot distinguish muscle mass from fat mass, or reflect fat distribution . Alternatively, abdominal obesity indices, such as waist circumference (WC) and waist-to-height ratio (WHtR), have been suggested to be better predictor of cardiometabolic abnormalities because they modulate the limitation of BMI. However, they were insufficient in studies.For this reason, scientists turned to find a new anthropometric formula that could better detect obesity-related mortality and morbidity and they developed 2 new methods. Body Shape İndex (ABSI) is calculated using waist circumference, BMI and height parameters. Body Roundness İndex (BRI) is calculated using waist circumference and height parameters. These new indices may reflect visceral adiposity and strongly predict cardiovascular risk, postsurgical outcomes and resource utilisation.
Study Type
OBSERVATIONAL
Enrollment
240
mortality
Number of death at 30 days after surgery
Time frame: within 30 days of the procedure
postoperative stroke
Number of patients with postoperative stroke
Time frame: within 30 days of the procedure
cardiac arrest
number of patients with cardiac arrest
Time frame: within 30 days of the procedure
new atrial fibrillation/flutter
Number of Partients with new atrial fibrillation/flutter
Time frame: within 30 days of the procedure
permanent rhythm device insertion
Number of Patients requiring insertion of a permanent device
Time frame: within 30 days of the procedure
prolonged ventilation
number of patients experiencing prolonged postoperative pulmonary ventilation (\>24 hours)
Time frame: within 30 days of the procedure
sepsis /deep sternal infection
number of patients with sepsis, deep sternal wound infection or mediastinitis
Time frame: within 30 days of the procedure
pulmonary complications
number of patients with pneumonia or pleural effusion
Time frame: within 30 days of the procedure
renal failure / renal dialysis
number of patient with acute renal failure or worsening renal function result
Time frame: within 30 days of the procedure
total intensive care unit (ICU) hours
total intensive care unit (ICU) hours
Time frame: within 30 days of the procedure
intensive care unit (ICU) readmissions
number of patients with intensive care unit readmission
Time frame: within 30 days of the procedure
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