Background: Non-ischemic cardiomyopathy (NICM) has been associated with a better left ventricle reverse remodeling response and improved clinical outcomes after cardiac resynchronization therapy (CRT). The aims of our study were to identify the predictors of mortality and heart failure hospitalization in patients treated with CRT and design a risk score for prognosis.
Methods: A cohort of 422 consecutive NICM patients with CRT was retrospectively enrolled between January 2010 and December 2017. The primary endpoint was all-cause mortality and heart transplantation. Results: In a multivariate analysis, the predictors of all-cause death were left atrial diameter [Hazard ratio (HR): 1.056, 95% confidence interval (CI): 1.020-1.093, P=0.002]; non-left bundle branch block [HR: 1.793, 95% CI: 1.131-2.844, P =0.013]; high sensitivity C-reactive protein [HR: 1.081, 95% CI: 1.029-1.134 P= 0.002]; and N-terminal pro-B-type natriuretic peptide [HR: 1.018, 95% CI: 1.007-1.030, P =0.002]; and New York Heart Association class IV [HR: 1.018, 95% CI: 1.007-1.030, P =0.002]. The Alpha-score ( A trial diameter, non-L BBB, P ro-BNP, H s-CRP, NYH A class IV) was derived from each independent risk factor. The novel score had good calibration (Hosmer-Lemeshow, P >0.05) and discrimination for both primary endpoints [c-statistics: 0.749 (95% CI: 0.694-0.804), P <0.001] or heart failure hospitalization [c-statistics: 0.692 (95% CI: 0.639-0.745), P <0.001]. Conclusion: The Alpha-score may enable improved discrimination and accurate prediction of longterm outcomes among NICM patients with CRT. Background Cardiac resynchronization therapy (CRT) improves cardiac function and decreases hospital admissions and mortality among patients with advanced heart failure (HF) and left ventricular dyssynchrony [1-3]. However, based on data derived from numerous large-sample, randomized trials, approximately one-third of all CRT recipients fail to achieve the expected benefit from the device [4]. Since the implantation of CRT devices is an invasive approach with a relatively high the economic burden, the application of a risk model for candidate stratification could aide in the optimal selection of patients and in identifying eligible patients likely to receive the greatest benefit. Non-ischemic cardiomyopathy Ueyama T, Morita N, Nitta T et al: Trends and determinant factors in the use of cardiac resynchronization therapy devices in Japan: Analysis of the Japan cardiac device treatment registry database. J Arrhythm 2016, 32(6):486-490. 22. Pan C et al: A new score system for predicting response to cardiac resynchronization therapy. Cardiol J 2015, 22(2):179-187.
23.Bleeker GB, Kaandorp TA, Lamb HJ, Boersma E, Steendijk P, de Roos A, van der Wall EE, Schalij MJ, Bax JJ: Effect of posterolateral scar tissue on clinical and