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 |
Files in This Item:
CORE Recommender
SCOPUSTM
Citations
1
checked on Oct 13, 2024
Page view(s)
42
checked on Aug 24, 2024
Download(s)
10
checked on Aug 24, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.