# Discordance of Circulating Non-HDL Cholesterol with LDL Cholesterol Concerning Long-Term Prognosis in Statin-Treated Individuals with Acute Coronary Syndrome and Previous Coronary Artery Bypass Grafting Undergoing Percutaneous Coronary Intervention

**Authors:** Chuang Li, Kuizheng He, Yixing Yang, Kuibao Li, Mulei Chen, Lefeng Wang, Yuanfeng Gao, Xiaorong Xu

PMC · DOI: 10.31083/j.rcm2409263 · 2023-09-21

## TL;DR

This study shows that even with low LDL cholesterol, high non-HDL cholesterol can predict future heart problems in patients who have had bypass surgery and are on statins.

## Contribution

The study introduces the clinical relevance of non-HDL-C/LDL-C discordance in predicting residual cardiovascular risk in statin-treated patients with prior CABG.

## Key findings

- Non-HDL-C and LDL-C levels were both independent risk indicators for MACEs.
- Discordant high non-HDL-C/low LDL-C levels were associated with a 2.44-fold higher risk of MACEs.
- Non-HDL-C showed a linear relationship with MACEs, while LDL-C showed a nonlinear relationship.

## Abstract

Some individuals who maintain desirable low-density 
lipoprotein cholesterol (LDL-C) levels still experience the progression of 
atherosclerosis, which may eventually lead to cardiovascular events. 
Non-high-density lipoprotein cholesterol (non-HDL-C) levels are quantified to 
assess residual risk in statin-treated patients with coronary heart disease. The 
study aimed to estimate the predictive performance of discordance between 
non-HDL-C and LDL-C on clinical prognosis in statin-treated patients with 
previous coronary artery bypass grafting (CABG).

468 
statin-treated patients with previous CABG undergoing percutaneous coronary 
intervention (PCI) as a secondary coronary treatment due to acute coronary 
syndrome (ACS) were retrospectively enrolled in this study. The definition of 
major adverse cardiovascular events (MACEs) was a composite endpoint of 
cardiovascular death, recurring myocardial infarction, and a need for repeat 
revascularization. Cox proportional hazards modeling, restricted cubic splines 
regression, and discordance analysis were conducted to the association between 
all lipid parameters and the occurrence of MACEs. Discordant values were defined 
as LDL-C concentrations ≤1.8 mmol/L accompanied by non-HDL-C >2.6 
mmol/L.

MACEs occurred in 95 patients over a median follow-up 
period of 744.5 days. Cox models demonstrated that increased concentrations of 
non-HDL-C and LDL-C levels were independent risk indicators of MACEs (p
< 0.001). The restricted cubic spline analysis revealed a linear relationship 
between non-HDL-C concentrations and MACEs (p-nonlinear: 0.26), whereas a 
nonlinear relationship was observed between LDL-C concentrations and MACEs 
(p
< 0.01). In the subgroup analysis, the spline curves revealed that 
the odds of the individuals with desirable LDL-C levels suffering MACEs emerged 
when non-HDL-C levels were above 2.07 mmol/L. Individuals who exhibited 
discordance involving high non-HDL-C/low LDL-C levels had an elevated risk of 
experiencing MACEs compared to those with concordantly low LDL-C and low 
non-HDL-C levels [hazard ratios (HRs) = 2.44, 95% confidence interval (CI) = 
1.14–5.22, p = 0.02].

Non-HDL-C levels could 
predict the residual risk of MACEs in ACS patients with previous CABG and statin 
therapy that underwent percutaneous coronary intervention. A discordance between 
non-HDL-C and LDL-C in individuals with desirable LDL-C levels could be useful in 
identifying those with a residual risk of cardiovascular complications.

## Linked entities

- **Diseases:** atherosclerosis (MONDO:0005311), acute coronary syndrome (MONDO:0005542)

## Full-text entities

- **Diseases:** coronary heart disease (MESH:D003327), atherosclerosis (MESH:D050197), myocardial infarction (MESH:D009203), ACS (MESH:D054058), cardiovascular complications (MESH:D002318)
- **Chemicals:** lipid (MESH:D008055), Non-HDL Cholesterol (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11270103/full.md

---
Source: https://tomesphere.com/paper/PMC11270103