OBJECTIVE: The purpose of this study was to explore the efficacy of the triglyceride glucose (TyG) index on in-hospital mortality in nondiabetic coronavirus disease 2019 (COVID-19) patients with myocardial injury. METHODS: This was a retrospective study, which included 218 nondiabetic COVID-19 patients who had myocardial injury. The TyG index was derived using the following equation: log [serum triglycerides (mg/dL) ×fasting blood glucose (mg/dL)/2]. RESULTS: Overall, 49 (22.4%) patients died during hospitalization. Patients who did not survive had a higher TyG index than survivors. In multivariate Cox regression analysis, it was found that the TyG index was independently associated with in-hospital death. A TyG index cutoff value greater than 4.97 was predicted in-hospital death in nondiabetic COVID-19 patients with myocardial damage, with 82% sensitivity and 66% specificity. A pairwise evaluation of receiver operating characteristic (ROC) curves demonstrated that the TyG index (AUC: 0.786) had higher discriminatory performance than both triglyceride (AUC: 0.738) and fasting blood glucose (AUC: 0.660) in predicting in-hospital mortality among these patients. CONCLUSIONS: The TyG index might be used to identify high-risk nondiabetic COVID-19 patients with myocardial damage.
OBJECTIVE: The purpose of this study was to explore the efficacy of the triglyceride glucose (TyG) index on in-hospital mortality in nondiabetic coronavirus disease 2019 (COVID-19) patients with myocardial injury. METHODS: This was a retrospective study, which included 218 nondiabetic COVID-19 patients who had myocardial injury. The TyG index was derived using the following equation: log [serum triglycerides (mg/dL) ×fasting blood glucose (mg/dL)/2]. RESULTS: Overall, 49 (22.4%) patients died during hospitalization. Patients who did not survive had a higher TyG index than survivors. In multivariate Cox regression analysis, it was found that the TyG index was independently associated with in-hospital death. A TyG index cutoff value greater than 4.97 was predicted in-hospital death in nondiabetic COVID-19 patients with myocardial damage, with 82% sensitivity and 66% specificity. A pairwise evaluation of receiver operating characteristic (ROC) curves demonstrated that the TyG index (AUC: 0.786) had higher discriminatory performance than both triglyceride (AUC: 0.738) and fasting blood glucose (AUC: 0.660) in predicting in-hospital mortality among these patients. CONCLUSIONS: The TyG index might be used to identify high-risk nondiabetic COVID-19 patients with myocardial damage.
Authors: Matthew P Cheng; Alessandro Cau; Todd C Lee; Daniel Brodie; Arthur Slutsky; John Marshall; Srin Murthy; Terry Lee; Joel Singer; Koray K Demir; John Boyd; Hyejee Ohm; David Maslove; Alberto Goffi; Isaac I Bogoch; David D Sweet; Keith R Walley; James A Russell Journal: Crit Care Med Date: 2021-04-19 Impact factor: 7.598
Authors: María M Adeva-Andany; Julia Martínez-Rodríguez; Manuel González-Lucán; Carlos Fernández-Fernández; Elvira Castro-Quintela Journal: Diabetes Metab Syndr Date: 2019-02-22