Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study.
Cardiovasc Diabetol
; 21(1): 142, 2022 07 29.
Article
en En
| MEDLINE
| ID: mdl-35906587
ABSTRACT
BACKGROUND:
Premature coronary artery disease (PCAD) has become more common in recent years and is often associated with poor outcomes. Triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance (IR) and is an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients with PCAD remains uncertain. Thus, this study aimed to investigate the prognostic value and predictive performance of the TyG index in patients with PCAD.METHODS:
A total of 526 young subjects (male < 45 years, female < 55 years) with angiographically proven CAD from January 2013 to December 2018 were included consecutively in this study. Their clinical and laboratory parameters were collected, and the TyG index was calculated as [Formula see text]. The follow-up time after discharge was 40-112 months (median, 68 months; interquartile range, 49â83 months). The primary endpoint was the occurrence of the major adverse cardiovascular events (MACE), defined as the composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and non-fatal stroke.RESULTS:
The TyG index was significantly associated with traditional cardiovascular risk factors and the Gensini score (GS). Kaplan-Meier survival (MACE-free) curves by tertiles of the TyG index showed statistically significant differences (log-rank test, p = 0.001). In the fully adjusted Cox regression model, the Hazard ratio (95% CI) of MACE was 2.17 (1.15-4.06) in tertile 3 and 1.45 (1.11-1.91) for per SD increase in the TyG index. Time-dependent ROC analyses of the TyG for prediction of MACE showed the area under the curves (AUC) reached 0.631 at 3 years, 0.643 at 6 years, and 0.710 at 9 years. Furthermore, adding TyG index to existing risk prediction model could improve outcome prediction [C-statistic increased from 0.715 to 0.719, p = 0.007; continuous net reclassification improvement (NRI) = 0.101, p = 0.362; integrated discrimination improvement (IDI) = 0.011, p = 0.017].CONCLUSION:
The TyG index is an independent predictor of MACE in patients with PCAD, suggesting that the TyG index has important clinical implications for risk stratification and early intervention of PCAD.Palabras clave
Texto completo:
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Bases de datos:
MEDLINE
Asunto principal:
Enfermedad de la Arteria Coronaria
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Male
Idioma:
En
Revista:
Cardiovasc Diabetol
Asunto de la revista:
ANGIOLOGIA
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CARDIOLOGIA
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ENDOCRINOLOGIA
Año:
2022
Tipo del documento:
Article