# Cholesterol, high-density lipoprotein, glucose index as a novel marker for predicting in-stent restenosis after drug-eluting stent implantation in patients with acute coronary syndrome

**Authors:** Yixiong Lin, Jiaxing Ke, Shuling Chen, Jinghan Yang, Chenxin Liao, Feng Peng, Dajun Chai, Jinxiu Lin

PMC · DOI: 10.3389/fcvm.2026.1740216 · 2026-02-03

## TL;DR

A new metabolic marker called CHG index is linked to a higher risk of in-stent restenosis in patients with acute coronary syndrome who receive drug-eluting stents.

## Contribution

The study identifies the CHG index as a novel predictor of in-stent restenosis after drug-eluting stent implantation in ACS patients.

## Key findings

- A higher CHG index was associated with increased odds of in-stent restenosis.
- The association between CHG index and restenosis risk was linear and statistically significant.
- Patients in the highest tertile of CHG index had over twice the odds of restenosis compared to the lowest tertile.

## Abstract

Acute coronary syndrome (ACS) poses a serious health risk, and drug-eluting stent (DES) implantation is widely used to improve prognosis. However, the risk of in-stent restenosis (ISR) persists in some patients. The CHG index, a novel metabolic marker, has not been clearly linked to ISR risk in ACS patients undergoing DES-based percutaneous coronary intervention (PCI).

This retrospective study enrolled ACS patients who underwent PCI with successful DES implantation from June 2015 to July 2021 and and underwent coronary angiography at 6 to 24 months after successful DES-based PCI. Patients were stratified into tertiles based on CHG index. Logistic regression analysis models were used to evaluate the independent association between CHG index and ISR. Restricted cubic spline (RCS) models were used to examine potential nonlinear relationships, and subgroup analyses explored possible effect modifiers.

A total of 454 patients with ACS were included. In the fully adjusted model, CHG index was positively associated with DES-ISR incidence (per 1-unit increase, odds ratio [OR] = 2.61, 95% confidence interval [CI] 1.28–5.33, P = 0.008). Compared to the lowest tertile, the ORs (95% CI) for the second and third tertiles were 2.33 (1.12–4.85, P = 0.024) and 2.40 (1.05–5.49, P = 0.038), respectively. Furthermore, a linear positive association was observed between CHG index and risk of ISR post-PCI (overall P = 0.016; nonlinear P = 0.118).

For ACS patients treated with DES-PCI, a high CHG index was found to be significantly and linearly associated with an increased risk of DES-ISR.

## Linked entities

- **Diseases:** acute coronary syndrome (MONDO:0005542)

## Full-text entities

- **Genes:** AIP (AHR interacting HSP90 co-chaperone) [NCBI Gene 9049] {aka ARA9, FKBP16, FKBP37, PITA1, SMTPHN, XAP-2}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, FGB (fibrinogen beta chain) [NCBI Gene 2244] {aka HEL-S-78p}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}
- **Diseases:** unstable angina (MESH:D000789), Hyperuricemia (MESH:D033461), neointimal hyperplasia (MESH:D006965), multi-vessel disease (MESH:C564969), CAD (MESH:D003324), heart disease (MESH:D006331), type 2 diabetes (MESH:D003924), Hypercholesterolemia (MESH:D006937), vascular injury (MESH:D057772), IR (MESH:D007333), myocardial infarction (MESH:D009203), Hypertension (MESH:D006973), death (MESH:D003643), atherogenesis (MESH:D050197), CL (MESH:D002971), ISR (MESH:D023903), thrombosis (MESH:D013927), coronary stenosis (MESH:D023921), stenosis (MESH:D003251), metabolic dysfunction (MESH:D008659), liver, respiratory and renal dysfunction (MESH:D012131), left anterior descending artery disease (MESH:D020759), ST-segment elevation (MESH:D000072657), NSTEMI (MESH:D000072658), endothelial dysfunction (MESH:D014652), Diabetes mellitus (MESH:D003920), malignant tumors (MESH:D009369), calcification (MESH:D002114), dyslipidemia (MESH:D050171), ACS (MESH:D054058), inflammation (MESH:D007249), hyperglycemia (MESH:D006943), metabolic disturbances (MESH:D024821)
- **Chemicals:** glucose (MESH:D005947), rosuvastatin (MESH:D000068718), alcohol (MESH:D000438), lipid (MESH:D008055), Tegretol (MESH:D002220), creatine (MESH:D003401), ticagrelor (MESH:D000077486), atorvastatin (MESH:D000069059), clopidogrel (MESH:D000077144), LDL-C (-), Cholesterol (MESH:D002784), nitric oxide (MESH:D009569), blood glucose (MESH:D001786), aspirin (MESH:D001241), TG (MESH:D014280), uric acid (MESH:D014527), ezetimibe (MESH:D000069438)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12909208/full.md

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Source: https://tomesphere.com/paper/PMC12909208