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Qian Xie,1,* Chang Liu,1,* Fen Liu,2 Xuehe Zhang,1 Zhiyang Zhang,1 Xin An,1 Yining Yang,3– 6 Xiaomei Li1 1Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 2State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Clinical Medical Research Institute, the First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 3Department of Cardiology, People’s Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, People’s Republic of China; 4Xinjiang Key Laboratory of Cardiovascular Homeostasis and Regeneration Research, Urumqi, People’s Republic of China; 5State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, Urumqi, People’s Republic of China; 6Key Laboratory of Cardiovascular Disease Research, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yining Yang, Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, 91 Tianchi Road, Urumqi, 830054, People’s Republic of China, Tel +86-991-4361690, Email yangyn5126@163.com Xiaomei Li, Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, 137 Liyushan South Road, Urumqi, 830054, People’s Republic of China, Tel +86-991-4362611, Email lixm505@163.comPurpose: Metabolic Syndrome (MS) greatly increases the risk of heart disease and Heart Failure(HF). Insulin Resistance (IR) is considered to be the key to the pathophysiology of MS. The purpose of this study was to evaluate the predictive effect of different alternative indicators of IR on adverse cardiovascular events in patients with MS complicated with HF.Methods: Patients with HF who were diagnosed with MS in the heart center of the first affiliated Hospital of Xinjiang Medical University were selected continuously. The baseline data of the patients in the group were compared. The diagnostic value of alternative indexes of IR was evaluated by the working characteristic curve of subjects. The relationship between different alternative indicators of IR and survival rate was evaluated by survival curve. COX regression was used to analyze the effects of different alternative indicators of IR on the risk of end-point events.Results: The levels of TyG, TyG-BMI, TyG-WC, TG/HDL-C and METS-IR were significantly increased in patients with Major Adverse Cardiovascular Events (MACEs). Among the five alternative indexes of IR, METS-IR had the highest AUC (0.691, 95% CI:0.657– 0.752, P < 0.001) in predicting MACEs. No matter which alternative index of IR was used, the survival rate of MACEs in High group was significantly decreased. TyG, TyG-BMI, TyG-WC, TG/HDL-C and METS-IR can independently predict the occurrence of MACEs events, even if some confounding factors are adjusted.Conclusion: Our study shows that alternative indicators of IR, especially METS-IR, are independently associated with adverse cardiovascular events in patients with MS and HF.Keywords: insulin resistance indexes, metabolic syndrome, heart failure, predictive |
