Related Experiment Video
Updated: Aug 20, 2025
A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
Published on: August 18, 2015
Novel predictors and a predictive model of cerebrovascular atherosclerotic ischemic stroke based on clinical
He Li1,2, Pei Liu2, Hong-Yu Ma2
1Emergency Department, Naval Hospital of Eastern Theater, Zhoushan, China.
Insights
Predicting cerebrovascular atherosclerotic ischemic stroke is crucial. A new model identifies predictors like age and atherosclerosis, showing acceptable efficacy for early stroke diagnosis.
Area of Science:
- Neurology
- Cardiovascular Medicine
- Biostatistics
Background:
- Early identification of cerebrovascular atherosclerotic ischemic stroke is essential for effective treatment and research.
- Developing predictive tools can improve patient outcomes and clinical trial design.
Purpose of the Study:
- To identify novel predictors of ischemic stroke caused by cerebrovascular atherosclerosis.
- To construct and validate a predictive model for this condition.
Main Methods:
- Utilized the MIMIC-IV database for patient data analysis.
- Employed logistic regression to identify predictors and build the model.
- Validated the model using clinical data from Changhai Hospital.
Main Results:
- Advanced age, peripheral atherosclerosis, and transient ischemia history correlated with increased risk.
- Atrial fibrillation history, NIH Stroke Scale, serum potassium, and aPTT showed negative correlations.
- The predictive model achieved an AUC of 0.764, with varying sensitivity and specificity during validation.
Conclusions:
- The developed predictive model demonstrates acceptable efficacy.
- This model can serve as an aid in predicting cerebrovascular atherosclerotic ischemic stroke.
Background And Purpose:
Early identification of cerebrovascular atherosclerotic ischemic stroke is necessary for accurate treatment and clinical research.
Aims:
To identify novel predictors and build a predictive model of ischemic strokes due to cerebrovascular atherosclerosis.
Method:
MIMIC-IV database was used to search for clinical data of patients with ischemic stroke. Included patients were divided into two groups according to their etiologies. Univariate and multivariate logistic regressions were used to build the predictive model, and the model reliability parameters were calculated. The cut-off value for the model was selected according to the Youden index. Clinical data from the Neurovascular Center of Changhai Hospital were used to verify the predictive model.
Results:
Logistical regressions showed a positive correlation between advanced age, peripheral atherosclerosis, history of transient ischemia, and the diagnosis of ischemic strokes due to cerebrovascular atherosclerosis. The history of atrial fibrillation, levels of the National Institutes of Health Stroke Scale, serum potassium, and activated partial thromboplastin time were negatively correlated to the diagnosis of cerebrovascular atherosclerotic ischemic stroke. The predictive model was constructed from logistic regression results, and the area under the curve was 0.764. The cut-off value for the model was set at 0.089 to achieve the highest Youden index, with sensitivity and specificity of 75.9% and 64.1%. Clinical verification of the model revealed that the sensitivity and specificity of the model were 52.5% and 93.0% respectively.
Conclusion:
The efficacy of the predictive model was acceptable as an aid in predicting cerebrovascular atherosclerotic ischemic stroke.
More Related Videos
05:32Author Spotlight: Assessing Ischemic Stroke Damage Through Middle Cerebral Artery Occlusion Model
Published on: August 11, 2023
05:12A Mouse Model for Vascular Cognitive Impairment and Dementia Based on Needle-guided Asymmetric Bilateral Common Carotid Artery Stenosis
Published on: November 22, 2024
Related Concept Videos
01:27Atherosclerosis II: Clinical Manifestations and Diagnostic Tests
01:27Regulation of Stroke Volume
Preload refers to the degree of stretch on the heart before it contracts. It's analogous to the stretching of a rubber band; the more it's stretched, the more forcefully it snaps back. This concept is encapsulated in the Frank-Starling law of the...
01:17Ischemic Heart Disease: Overview
Atherosclerosis, the primary malefactor, orchestrates this dangerous condition. It manifests as the accumulation of fatty deposits, akin to insidious plaques, within arterial walls. As time elapses, these plaques metamorphose, hardening and...
01:21Aneurysm II: Clinical Manifestations and Diagnostic Studies