Related Experiment Video
Updated: Sep 13, 2025
A Mouse Model of Hemorrhagic Transformation Induced by Acute Hyperglycemia Combined with Transient Focal Ischemia
Published on: November 15, 2024
Association between glucose-to-albumin ratio and ischemic stroke risk in patients with coronary heart disease: a
Ling Hou1,2, Yuanhong Li3, Qianfei Liu4
1Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, People's Republic of China.
Insights
The glucose-to-albumin ratio (GAR) is a significant predictor of ischemic stroke (IS) risk in patients with coronary heart disease (CHD). Elevated GAR levels are strongly associated with a higher likelihood of IS in this population.
Area of Science:
- Cardiology
- Neurology
- Biomarker Discovery
Background:
- Coronary heart disease (CHD) and ischemic stroke (IS) share common risk factors like hypertension, hyperlipidemia, and diabetes.
- Identifying novel predictive markers for IS in CHD patients is crucial for clinical risk stratification.
Purpose of the Study:
- To investigate the glucose-to-albumin ratio (GAR) as a novel predictor of IS risk in patients with CHD.
- To develop and validate a predictive model for IS using machine learning techniques.
Main Methods:
- Retrospective analysis of 1,885 CHD patients.
- Feature selection using the Boruta algorithm and prediction using a multilayer perceptron (MLP) model.
- Model performance evaluation with ROC curves, calibration plots, SHAP values, and partial dependence plots (PDP).
Main Results:
- Patients with IS were older and had higher rates of hypertension and diabetes.
- The glucose-to-albumin ratio (GAR) was significantly elevated in the IS group.
- GAR, hyperlipidemia, and hypertension history were key predictors identified by the Boruta algorithm; SHAP and PDP confirmed GAR as an independent IS predictor.
Conclusions:
- The glucose-to-albumin ratio (GAR) is a significant independent predictor of IS risk in CHD patients.
- Elevated GAR levels are strongly associated with an increased risk of ischemic stroke in this cohort.
Background:
Coronary heart disease (CHD) and ischemic stroke (IS) share several pathophysiological mechanisms and risk factors, such as hypertension, hyperlipidemia, and diabetes. Investigating novel markers, such as the glucose-to-albumin ratio (GAR), for predicting the risk of IS in CHD patients holds significant clinical value.
Methods:
We retrospectively enrolled 1,885 patients diagnosed with CHD who were treated at our hospital from January 1, 2022, to July 31, 2024. Feature selection was conducted using the Boruta algorithm, and a multilayer perceptron (MLP) model was employed to predict the risk of IS in CHD patients. The performance of the model was evaluated using ROC curves and calibration plots. SHAP values and partial dependence plots (PDP) were used to interpret the model's predictions.
Results:
The study showed that patients in the IS group were older and had significantly higher rates of hypertension and diabetes compared to those without AIS. Additionally, the AIS group had a higher prevalence of triple-vessel disease and right coronary artery lesions. GAR was significantly elevated in the IS group compared to the non-IS group. Key features identified by the Boruta algorithm included GAR, hyperlipidemia, and a history of hypertension. SHAP analysis indicated that GAR was significantly associated with IS risk, and PDP analysis further confirmed GAR as an independent predictor of IS.
Conclusion:
GAR is a significant independent predictor of IS risk in CHD patients, with elevated GAR levels being strongly associated with an increased risk of IS.
More Related Videos
05:32Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model
Published on: August 11, 2023
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
Related Concept Videos
01:30Coronary Artery Disease I: Introduction
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT