Association between multiple inflammatory biomarkers and remnant cholesterol levels in patients with percutaneous coronary intervention: A large-scale real-world study

Abstract

Background and aimRemnant cholesterol (RC) has garnered increasing attention recently due to its association with adverse cardiovascular events. However, the relationship between RC levels and inflammation remains unclear. The goal of this study was to investigate and compare the predictive value of multiple inflammatory biomarkers for high RC in patients with percutaneous coronary intervention (PCI). Methods and resultsInitially, a total of 10,724 consecutive individuals hospitalized for PCI at Fu Wai Hospital in 2013 were enrolled. Finally, 9983 patients receiving dual antiplatelet therapy and drug-eluting stent were selected for analysis. The inflammatory biomarkers included high-sensitivity C-reactive protein (hs-CRP), hs-CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), lymphocyte-to-hs-CRP ratio (LCR), and systemic immune-inflammation index (SII). Patients were divided into higher RC and lower RC groups based on the median RC level. Multivariate logistic regression showed that hs-CRP (OR per SD: 1.254), CAR (OR per SD: 1.245), PLR (OR per SD: 1.139), and SII (OR per SD: 1.077) were associated with high RC (≥median), while LCR (OR per SD: 0.792) was associated with low RC (<median). However, NLR and LMR were not associated with RC levels. After comparing these inflammatory biomarkers, hs-CRP demonstrated the highest predictive ability for high RC (AUC: 0.612). ConclusionsIn PCI patients, hs-CRP, CAR, PLR, LCR, and SII were independently associated with RC levels. Among these inflammatory biomarkers, hs-CRP conferred better prediction for high RC. This investigation further supports the close relationship between inflammation and residual lipid risk biomarker RC.