Chen Liu1,2, Yalin Cao3, Xin He1,2, Chongyu Zhang1,2, Jian Liu4, Lili Zhang5, Dexi Wu1,2, Xiaodong Zhuang1,2, Ruicong Xue1,2, Huiling Huang1,2, Jingzhou Jiang1,2, Bin Dong1,2, Yu Sun1,2, Yugang Dong1,2, Jingjing Zhao1,2. 1. Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, PR China. 2. NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou 510080, PR China. 3. Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang 550001, PR China. 4. Department of Anesthesiology, Southern Medical University Nanfang Hospital, Guangzhou 510515, PR China. 5. Department of Cardiology, Hainan General Hospital, Haikou 570311, PR China.
Abstract
Aim: The protein CCN1/CYR61 exerts critical functions in myocardial ischemic injury. We sought to investigate the prognostic value of CCN1 in patients with acute heart failure (AHF) and coronary heart disease (CAD). Methodology: We prospectively enrolled 113 patients with AHF and CAD. Patients were followed for all-cause mortality during a 30-day follow-up. Logistic models were used to estimate the association of CCN1 concentrations with 30-day mortality. Results: In multivariate logistic regression model, CCN1 was a significant predictor of 30-day mortality independent of current markers. Enhanced Feedback for Effective Cardiac Treatment risk score was recommended as one of the selected multivariable risk scores to predict outcome in AHF. CCN1 improved risk stratification for all-cause mortality when added to the Enhanced Feedback for Effective Cardiac Treatment risk scores at 30 days. Conclusion: We found CCN1 is independently associated with 30-day mortality in patients with AHF and CAD.
Aim: The protein CCN1/CYR61 exerts critical functions in myocardial ischemic injury. We sought to investigate the prognostic value of CCN1 in patients with acute heart failure (AHF) and coronary heart disease (CAD). Methodology: We prospectively enrolled 113 patients with AHF and CAD. Patients were followed for all-cause mortality during a 30-day follow-up. Logistic models were used to estimate the association of CCN1 concentrations with 30-day mortality. Results: In multivariate logistic regression model, CCN1 was a significant predictor of 30-day mortality independent of current markers. Enhanced Feedback for Effective Cardiac Treatment risk score was recommended as one of the selected multivariable risk scores to predict outcome in AHF. CCN1 improved risk stratification for all-cause mortality when added to the Enhanced Feedback for Effective Cardiac Treatment risk scores at 30 days. Conclusion: We found CCN1 is independently associated with 30-day mortality in patients with AHF and CAD.