1. Predictive value of non-fasting remnant cholesterol for short-term outcome of diabetics with new-onset stable coronary artery disease.
- Author
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Hong LF, Yan XN, Lu ZH, Fan Y, Ye F, Wu Q, Luo SH, Yang B, and Li JJ
- Subjects
- Aged, Biomarkers blood, C-Reactive Protein, Cholesterol, HDL blood, Cholesterol, LDL blood, Clopidogrel, Cohort Studies, Coronary Angiography, Coronary Artery Disease complications, Coronary Artery Disease drug therapy, Coronary Artery Disease mortality, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 drug therapy, Diabetes Mellitus, Type 2 mortality, Female, Fibrinogen metabolism, Follow-Up Studies, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Male, Middle Aged, Neutrophils cytology, Prognosis, Proportional Hazards Models, ROC Curve, Ticlopidine analogs & derivatives, Ticlopidine therapeutic use, Treatment Outcome, Cholesterol blood, Coronary Artery Disease diagnosis, Diabetes Mellitus, Type 2 diagnosis, Glycated Hemoglobin metabolism
- Abstract
Background: The relationship between non-fasting remnant cholesterol and cardiovascular outcome in the era of potent statin therapy remained to be elucidated., Methods: A cohort study of three hundred and twenty eight diabetics diagnosed with new-onset stable coronary artery disease (CAD) by coronary angiography were enrolled. All cases were followed up for an average duration of twelve months. The association between baseline remnant cholesterol levels and major cardiovascular outcomes were evaluated using the receivers operating characteristic (ROC) curves and Cox proportional hazards regression analysis., Results: During a period of 12-month's follow-up, 14.3% patients (47/328) underwent pre-specified adverse outcomes. The remnant cholesterol associated with high sensitivity C-reactive protein, neutrophil count and fibrinogen (R
2 = 0.20, 0.12 and 0.14; P = 0.000, 0.036 and 0.010 respectively). Area under the ROC curves (AUC) indicated discriminatory power of the remnant cholesterol to predict the adverse outcomes for this population (AUC = 0.64, P < 0.005). Kaplan-Meier curve suggested that the lower levels of remnant cholesterol showed relatively lower cardiac events for diabetic patients with stable CAD (Log rank X2 = 8.94, P = 0.04). However, according to multivariate Cox proportional hazards regression, apart from hemoglobin A1C (Hazard ratio [H.R.] =1.38, 95% CI: 1.14-1.66, P = 0.001) and Gensini scores (H.R. = 1.00, 95% CI: 1.00-1.02; P = 0.035), remnant cholesterol did not qualify as an independent predictor of adverse prognosis in these settings (H.R. = 1.05, 95% CI: 0.46-2.37, P = 0.909)., Conclusions: Non-fasting remnant cholesterol was associated with inflammatory biomarkers and high incidence of revascularization, but not qualified as an independent predictor for short-term prognosis of diabetics with new-onset stable coronary artery disease.- Published
- 2017
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