Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47840
Title: The role of triglyceride glucose index in predicting in-hospital adverse cardiovascular outcomes in patients with acute coronary syndrome
Authors: Çetin Şanlıalp, Sara
Nar, Gökay
Keywords: Acute coronary syndrome
Cardiovascular outcomes
GRACE
Triglyceride glucose index
biological marker
creatinine
glucose
hemoglobin
hemoglobin A1c
high density lipoprotein cholesterol
lipid
low density lipoprotein cholesterol
triacylglycerol
acute coronary syndrome
age
aged
analytic method
Article
cardiogenic shock
cardiovascular disease
clinical feature
clinical outcome
coronary angiography
creatinine blood level
current smoker
data analysis software
demographics
diabetes mellitus
fasting
female
follow up
gender
glucose blood level
GRACE risk score
heart arrest
heart arrhythmia
heart death
heart failure
heart left ventricle ejection fraction
heart muscle revascularization
heart rate
hospital patient
human
hypertension
incidence
intermethod comparison
leukocyte
major clinical study
male
non ST segment elevation myocardial infarction
observational study
prediction
recurrent disease
retrospective study
sensitivity and specificity
smoking
ST segment
ST segment elevation myocardial infarction
systolic blood pressure
tertiary care center
triglyceride glucose index
Publisher: Ondokuz Mayis Universitesi
Abstract: Previous studies have shown the association of triglyceride glucose (TyG) index with metabolic syndrome (MetS), cardiovascular disease (CVD) and long-term adverse cardiovascular outcomes. However, to best our knowledge, the relation between the TyG index and in-hospital adverse cardiovascular outcomes in acute coronary syndrome (ACS) has not yet been reported. Hence, in this study, we aimed to evaluate the role of the TyG index in predicting in-hospital adverse cardiovascular outcomes in ACS and to compare its performance with the Global Acute Coronary Events Register (GRACE) risk score. 170 patients diagnosed with ACS and underwent coronary angiography were analyzed retrospectively. The TyG index was calculated using the following formula: ln [fasting triglycerides (mg/dL)×fasting blood glucose (mg/dL)/2]. Receiver operating characteristics (ROC) curve analysis was used to evaluate the performance of the TyG index and GRACE risk score in predicting in-hospital adverse cardiovascular outcomes. A binary logistic regression model was applied to determine the independent predictors for in-hospital adverse cardiovascular outcomes. At the initial analysis, patients with adverse cardiovascular outcomes had higher TyG index and GRACE risk score (p=0.011, p<0.001). In ROC curve analysis, the GRACE score performed better in predicting in-hospital adverse cardiovascular outcomes compared to TyG index (AUC:0.716, p<0.001; AUC:0.588, p=0.054 respectively). In binary logistic regression analysis, left ventricular ejection fraction (LVEF), multi-vessel disease and GRACE risk score were independent predictors for in-hospital adverse cardiovascular outcomes (OR: 0.840, 95% CI: 0.791-0.891, p<0.001; OR: 3.581, 95% CI:1.382-9.282, p=0.009; OR= 1.017, 95% CI: 1.001-1.034, p=0.04 respectively). Our study findings revealed that the TyG index was scant in predicting in-hospital adverse cardiovascular outcomes compared to GRACE risk score. The independent predictors for in-hospital adverse cardiovascular outcomes were LVEF, multivessel disease and GRACE risk score. © 2021 Ondokuz Mayis Universitesi. All rights reserved.
URI: https://doi.org/10.52142/omujecm.38.4.33
https://hdl.handle.net/11499/47840
ISSN: 1309-4483
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tıp Fakültesi Koleksiyonu

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