부산대학교 도서관

Chang Su,1– 3 Zeyu Wang,4 Zhen Qin,1– 3 Yan Lv,1– 3 Yachen Hou,1– 3 Ge Zhang,1– 3 Mengdie Cheng,1– 3 Xinyue Cui,1– 3 Zhiyu Liu,1– 3 Pengchong Du,1– 3 Tianding Liu,1– 3 Peiyu Yuan,1– 3 Junnan Tang,1– 3 Jinying Zhang1– 3 1Department of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 2Key Laboratory of Cardiac Injury and Repair of Henan Province, Zhengzhou, Henan, People’s Republic of China; 3Henan Province Clinical Research Center for Cardiovascular Diseases, Zhengzhou, Henan, People’s Republic of China; 4Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of ChinaCorrespondence: Junnan Tang; Jinying Zhang, Department of Cardiology, First Affiliated Hospital of Zhengzhou University, No. 1 Eastern Jianshe Road, Zhengzhou, Henan, 450052, People’s Republic of China, Tel +86 15890696166 ; +86 13503830283, Email fcctangjn@zzu.edu.cn; jyzhang@zzu.edu.cnBackground: The triglyceride-glucose (TYG) index is a novel and reliable marker reflecting insulin resistance. Its predictive ability for cardiovascular disease onset and prognosis has been confirmed. However, for advanced chronic heart failure (acHF) patients, the prognostic value of TYG is challenged due to the often accompanying renal dysfunction (RD). Therefore, this study focuses on patients with aHF accompanied by RD to investigate the predictive value of the TYG index for their prognosis.Methods and Results: 717 acHF with RD patients were included. The acHF diagnosis was based on the 2021 ESC criteria for acHF. RD was defined as the eGFR < 90 mL/(min/1.73 m2). Patients were divided into two groups based on their TYG index values. The primary endpoint was major adverse cardiovascular events (MACEs), and the secondary endpoints is all-cause mortality (ACM). The follow-up duration was 21.58 (17.98– 25.39) months. The optimal cutoff values for predicting MACEs and ACM were determined using ROC curves. Hazard factors for MACEs and ACM were revealed through univariate and multivariate COX regression analyses. According to the univariate COX regression analysis, high TyG index was identified as a risk factor for MACEs (hazard ratio = 5.198; 95% confidence interval [CI], 3.702– 7.298; P < 0.001) and ACM (hazard ratio = 4.461; 95% CI, 2.962– 6.718; P < 0.001). The multivariate COX regression analysis showed that patients in the high TyG group experienced 440.2% MACEs risk increase (95% CI, 3.771– 7.739; P < 0.001) and 406.2% ACM risk increase (95% CI, 3.268– 7.839; P < 0.001). Kaplan-Meier survival analysis revealed that patients with high TyG index levels had an elevated risk of experiencing MACEs and ACM within 30 months.Conclusion: This study found that patients with high TYG index had an increased risk of MACEs and ACM, and the TYG index can serve as an independent predictor for prognosis.Keywords: TyG index, advanced chronic heart failure, renal dysfunction, prognosis factor