Abstract:
Objective To evaluate the effect of cumulative remnant cholesterol (cumRC) on new-onset heart failure in hypertensive patients.
Methods A total of 27 839 hypertensive patients who participated in three consecutive health examination of Kailuan Group in 2006, 2008 and 2010 and had no history of heart failure were selected. The patients were divided into 4 groups according to the quartiles of cumRC levels: Q1 (cumRC<2.86 mmol/L, n=6 959), Q2 (2.86 to <4.25 mmol/L, n=6 960), Q3 (4.25 to <5.90 mmol/L, n=6 960), Q4 (cumRC≥5.90 mmol/L, n=6 960). The cumulative incidence of heart failure in the 4 groups were calculated. The effect of cumRC on the new onset of heart failure in hypertensive patients was analyzed by multivariate Cox regression model.
Results During a median follow-up of 9.94 (9.52, 10.26) years, a total of 903 cases (3.24%) developed heart failure. Kaplan-Meier curves showed a progressively higher cumulative incidence of heart failure in quartiles 1 to 4 (Log-rank test, χ2 =28.96, P<0.01). Multivariate Cox regression analysis showed that the risk of heart failure increased progressively with the increase of cumRC, the HR was the highest in the Q4 group compared with Q1 group (HR=1.48; 95%CI 1.21-1.80). Based on traditional risk factors, single residual cholesterol (RC) in 2006 (RC2006), single RC at baseline (RC2010) and cumRC were added to construct risk prediction models. The results showed that the C-index of cumRC model was 75.09%, improved by 0.0018, 0.0014, and 0.0018, respectively compared with the C-index of the basic prediction model (74.91%), RC2006 prediction model (74.95%), and RC2010 prediction model (74.91%). In addition, sensitivity analysis deleting patients with myocardial infarction and atrial fibrillation showed that cumRC was significantly associated with the occurrence of new-onset heart failure.
Conclusions High cumRC is associated with an increased risk of developing heart failure in hypertensive patients. The predictive power of cumRC for heart failure risk is better than that of single RC measurement.