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논문 기본 정보

자료유형
학술저널
저자정보
Mert İlker Hayıroğlu (Department of Cardiology Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research) Tufan Çınar (Department of Cardiology Haydarpasa Sultan II. Abdulhamid Han Training and Research Hospital Istanb) Vedat Çiçek (Department of Cardiology Haydarpasa Sultan II. Abdulhamid Han Training and Research Hospital Istanb) Ali Palice (Department of Cardiology Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research) Görkem Ayhan (Department of Cardiology Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research) Ahmet İlker Tekkeşin (Department of Cardiology Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research)
저널정보
한국지질동맥경화학회(구 한국지질학회) 지질·동맥경화학회지 지질·동맥경화학회지 제11권 제3호
발행연도
2022.9
수록면
280 - 287 (8page)
DOI
10.12997/jla.2022.11.3.280

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Objective There is an evidence gap regarding the predictive accuracy of the triglyceride-glucose (TyG) index for long-term major adverse cardiovascular events (MACEs) in individuals with high cardiovascular risk. The aim of this investigation was to evaluate the predictive value of the TyG index for long-term MACEs in patients at high cardiovascular risk. Methods In total, 483 patients with high cardiovascular risk were included in this analysis. The study population was separated into 2 groups depending on the occurrence of long-term MACEs. The independent predictors of long-term MACEs in patients with high cardiovascular risk were investigated. The long-term prognostic value of the TyG index in these patients was evaluated in terms of MACEs. Results Age, male sex, diabetes mellitus, and the TyG index were demonstrated to be independent predictors of long-term MACE occurrence in patients with high cardiovascular risk. The TyG index was independently related to long-term MACEs in patients with high cardiovascular risk (hazard ratio, 1.003; 95% confidence interval [CI], 1.001?1.006; p=0.011). The receiver operating characteristic curve revealed that the optimum value of the TyG index to predict long-term MACEs in the overall study cohort was >9.68, with 65% sensitivity and 63% specificity (area under the curve, 0.71; 95% CI, 0.65?0.77; p<0.001). Conclusion The TyG index was demonstrated to be an independent predictor of long-term MACE occurrence in patients with high cardiovascular risk who had not been previously diagnosed with cardiovascular disease.

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