Low-density lipoprotein triglyceride predicts outcomes in patients with chronic coronary syndrome following percutaneous coronary intervention according to inflammatory status.

Background: Low-density lipoprotein-triglyceride (LDL-TG), a novel lipid marker, has been reported to be associated with cardiovascular events (CVEs). However, whether inflammatory status has a combined effect with LDL-TG on CVEs in patients with chronic coronary syndrome (CCS) receiving percutaneous coronary intervention (PCI) remains uncertain.
Methods: A total of 4,415 patient with coronary angiography were primarily enrolled. Among them, 2,215 patients undergoing PCI were finally classified into subgroups according to LDL-TG and high-sensitivity C-reactive protein (hs-CRP) concentrations. Patients were followed up for up to 7 y for CVEs. The associations between LDL-TG, hs-CRP and CVEs were analyzed.
Results: Patients with CVEs showed higher concentrations of LDL-TG compared to those without. In Cox regression analysis, LDL-TG was independently associated with CVEs (hazard ratio [HR]: 2.003, 95 % confidence intervals [CI]: 1.365-2.940, p < 0.001). Interestingly, when patients were further categorized into six subgroups according to hs-CRP and LDL-TG concentrations, LDL-TG was correlated with increased events only in patients with high hs-CRP concentrations (HR: 1.726, 95 %CI: 1.055-2.826, p = 0.030). Moreover, the Kaplan-Meier survival curves indicated that patients in the higher plasma concentrations of hs-CRP in combination with the highest LDL-TG concentrations were associated with the highest risk of CVEs.
Conclusions: LDL-TG was associated with increased CVEs among patients receiving PCI with increased hs-CRP concentrations, suggesting that measurement of LDL-TG combined with hs-CRP facilitates prognostic utility for cardiovascular risks.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023. Published by Elsevier B.V.)