Predictive value of remnant cholesterol level for all-cause mortality in heart failure patients

• DOI: 10.3389/fcvm.2023.1063562
• Publication Date: 2023-02-15T10:18:36Z
• Authors: Lang Zhao; Xuemei Zhao; Pengchao Tian; Lin Liang; Boping Huang; Liyan Huang; Jiayu Feng; Yuhui Zhang; Jian Zhang
• Keywords: Quartile

Background Lower cholesterol levels are associated with increased mortality in heart failure (HF) patients. Remnant corresponds to all not found high-density lipoprotein (HDL) and low-density (LDL). The prognostic role of remnant HF remains unknown. Objective To reveal the relationship between baseline level all-cause Methods This study enrolled 2,823 patients hospitalized for HF. Kaplan–Meier analysis, Cox regression, C-statistic, net reclassification improvement (NRI), integrated discrimination (IDI) were used evaluate value Results rate was lowest fourth quartile cholesterol, which had an adjusted hazard ratio (HR) death 0.56 [HR: 0.39, 95% confidence interval (CI): 0.46–0.68, p < 0.001] relative first quartile. After adjustment, a one-unit increase 41% decrease risk (HR: 0.59, CI: 0.47–0.73, 0.001). A refinement prediction observed after adding original model (ΔC-statistic = 0.010, 0.003–0.017; NRI 0.036, 0.003–0.070; IDI 0.025, 0.018–0.033; 0.05). Conclusion Low addition improved predictive over traditional factors. Clinical Trial Registration ClinicalTrials.gov, Unique Identifier: NCT02664818.