Correlation of blood lipids, glucose, and inflammatory indices with the occurrence and prognosis of lesion complexity in unstable angina, a retrospective cohort study.

Abstract

Background: In recent years, novel cardiometabolic biomarkers and related pathogenic genes and their heritability have been examined. However, no multitarget predictive evaluation models exist can identify and predict complex lesions in unstable angina (UA) in the early stages before coronary angiography (CAG) or evaluate the prognosis of patients with UA and complex lesions. In this study, we sought to investigate the correlation between blood lipid, glucose, and inflammatory indices and the occurrence and prognosis of UA with complex lesions, and also the risk factors for major adverse cardiocerebrovascular events (MACCEs).

Methods: Patients with UA who underwent percutaneous coronary intervention (PCI) at Chaoyang Hospital between March 2019 and December 2020 were included. Patients with UA who underwent PCI were divided into complex lesion group and noncomplex lesion group according to the CAG results. The blood lipid and glucose levels, inflammatory indices, Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) scores, and clinical outcome events after 3 years follow-up from both groups were calculated.

Results: A total of 523 patients were included, with 248 and 275 patients in the complex and noncomplex lesion groups, respectively. There were no significant differences between the two groups in terms of sex, age, medical history, or demographic characteristics. After 3 years of follow-up, compared with the noncomplex lesion group, the complex lesion group had a higher incidence of target vessel revascularization (TVR) (8.1% vs. 4.0%; P=0.049) and MACCEs (11.7% vs. 5.8%; P=0.02). High remnant lipoprotein cholesterol (RLP-C) level, high small dense low-density lipoprotein cholesterol (sLDL-C) level, high lipoprotein (a) [Lp(a)] level, high high-sensitivity C-reactive protein (hs-CRP) level, low lymphocyte level, low albumin level, and low hs-CRP:albumin ratio (CAR) were found to be risk factors for the occurrence of UA with complex lesions. High RLP-C level, high sLDL-C level, high Lp(a) level, and high neutrophil:lymphocyte ratio (NLR) were independent risk factors for MACCEs in the complex lesion group, from which a new prediction model was created. The area under the curve (AUC) of the new model for predicting MACCEs events after 3 years of follow-up [AUC =0.935; 95% confidence interval (CI): 0.881-0.989] in the complex lesion group was higher than that of the SYNTAX score (AUC =0.671; 95% CI: 0.584-0.757) (P<0.001).

Conclusions: Blood lipid and glucose levels and inflammatory indices may be associated with the occurrence of UA with complex lesions. The new model for UA with complex lesions constructed using high RLP-C level, high sLDL-C level, high Lp(a) level, and high NLR level had a stronger ability to predicts MACCEs during follow-up than did the SYNTAX score. Our findings could enhance early detection of patients with UA and complex lesions, potentially improving prevention and treatment strategies for perioperative UA-PCI patients.