Association between uric acid to high-density cholesterol ratio (UHR) and in-stent neoatherosclerosis: an optical coherence tomography study

In-stent neoatherosclerosis (ISNA) is the leading cause of in-stent restenosis (ISR) and stent thrombosis, often signifying stent placement failure. Prior studies have demonstrated an association between uric acid (UA) levels and ISNA, while high-density lipoprotein (HDL) dysfunction may contribute to both target lesion revascularization and ISNA progression. However, no comprehensive study has evaluated the combined role of UA and HDL in ISNA. The UA to HDL ratio (UHR), an integrative metabolic-inflammatory biomarker, has been studied across various cardiovascular and metabolic disorders. This study examines the association between UHR and ISNA and assesses whether UHR predicts ISNA more accurately than UA or HDL alone. We conducted a retrospective cross-sectional study using clinical data from the Affiliated Hospital of Zunyi Medical University (2014–2025). Multivariable logistic regression models were employed to assess the association between the UHR and ISNA, with adjustments for clinically relevant confounders. Potential nonlinear relationships were examined using restricted cubic spline (RCS) regression with three knots. To validate the predictive utility of UHR, we performed subgroup analyses stratified by sex, age and comorbidities, along with ROC curve analysis to determine the optimal cutoff value and area under the curve (AUC). In multivariable regression analysis of 514 participants, each unit increase in UHR was associated with a 14.1% increased risk of ISNA (OR 1.141, 95% CI 1.113–1.170; P < 0.001). This association remained significant after adjusting for gender, age, smoking status, diabetes mellitus, hypertension, chronic kidney disease, prior stroke history, triglyceride levels, relevant medication use, as well as stent type, lesion location, and pre-dilation. RCS regression confirmed a linear relationship (P for non-linearity = 0.517). This positive correlation was consistent across most subgroups, further supporting the reliability of the findings. ROC analysis revealed that UHR had superior predictive performance for ISNA (AUC 0.793, 95% CI 0.753–0.832) compared to UA (AUC 0.760) and HDL (AUC 0.688), supporting its potential clinical utility. In OCT-diagnosed ISR patients, elevated UHR levels showed both independent association with NA development and superior predictive performance compared to UA and HDL alone.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-02-27
DOI
https://doi.org/10.1186/s12872-026-05640-z
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between uric acid to high-density cholesterol ratio (UHR) and in-stent neoatherosclerosis: an optical coherence tomography study

Ning Gu, Xiushi Li, Zhenglong Wang, Bei Shi et al.
BMC Cardiovascular Disorders
Gout, Hyperuricemia, Uric Acid
article

Association between uric acid to high-density cholesterol ratio (UHR) and in-stent neoatherosclerosis: an optical coherence tomography study

Ning Gu, Xiushi Li, Zhenglong Wang, Bei Shi, Long Zhang, Xinyu Xu, Deguang Yang, Muhan Xu
article en

Abstract

In-stent neoatherosclerosis (ISNA) is the leading cause of in-stent restenosis (ISR) and stent thrombosis, often signifying stent placement failure. Prior studies have demonstrated an association between uric acid (UA) levels and ISNA, while high-density lipoprotein (HDL) dysfunction may contribute to both target lesion revascularization and ISNA progression. However, no comprehensive study has evaluated the combined role of UA and HDL in ISNA. The UA to HDL ratio (UHR), an integrative metabolic-inflammatory biomarker, has been studied across various cardiovascular and metabolic disorders. This study examines the association between UHR and ISNA and assesses whether UHR predicts ISNA more accurately than UA or HDL alone. We conducted a retrospective cross-sectional study using clinical data from the Affiliated Hospital of Zunyi Medical University (2014–2025). Multivariable logistic regression models were employed to assess the association between the UHR and ISNA, with adjustments for clinically relevant confounders. Potential nonlinear relationships were examined using restricted cubic spline (RCS) regression with three knots. To validate the predictive utility of UHR, we performed subgroup analyses stratified by sex, age and comorbidities, along with ROC curve analysis to determine the optimal cutoff value and area under the curve (AUC). In multivariable regression analysis of 514 participants, each unit increase in UHR was associated with a 14.1% increased risk of ISNA (OR 1.141, 95% CI 1.113–1.170; P < 0.001). This association remained significant after adjusting for gender, age, smoking status, diabetes mellitus, hypertension, chronic kidney disease, prior stroke history, triglyceride levels, relevant medication use, as well as stent type, lesion location, and pre-dilation. RCS regression confirmed a linear relationship (P for non-linearity = 0.517). This positive correlation was consistent across most subgroups, further supporting the reliability of the findings. ROC analysis revealed that UHR had superior predictive performance for ISNA (AUC 0.793, 95% CI 0.753–0.832) compared to UA (AUC 0.760) and HDL (AUC 0.688), supporting its potential clinical utility. In OCT-diagnosed ISR patients, elevated UHR levels showed both independent association with NA development and superior predictive performance compared to UA and HDL alone.

BMC Cardiovascular Disorders
Zunyi Medical University (CN), Affiliated Hospital of Zunyi Medical College (CN)
Good health and well-being
Openalex Percentile: Top 48%
Gout, Hyperuricemia, Uric Acid
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.