Predicting the Risk of Stroke in Chinese Internal Carotid Artery Stenosis Patients Underwent Carotid Artery Stenting: Validation and Improvement of Siena Carotid Artery Stenting Risk Score
| Autor: | Lin Shen, Huchuan Zhou, Fei Wei, Jie Shuai |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Blood Glucose
Male China medicine.medical_specialty Time Factors Carotid arteries Risk Assessment Decision Support Techniques 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors medicine.artery Internal medicine medicine Humans Carotid Stenosis Internal carotid artery stenosis Stroke Aged Framingham Risk Score Receiver operating characteristic business.industry Incidence Incidence (epidemiology) Endovascular Procedures Rehabilitation Reproducibility of Results Middle Aged medicine.disease Stenosis Treatment Outcome Cardiology Female Stents Surgery Neurology (clinical) Internal carotid artery Cardiology and Cardiovascular Medicine business Biomarkers Carotid Artery Internal 030217 neurology & neurosurgery |
| Zdroj: | Journal of Stroke and Cerebrovascular Diseases. 28:104369 |
| ISSN: | 1052-3057 |
| DOI: | 10.1016/j.jstrokecerebrovasdis.2019.104369 |
| Popis: | Background: Siena carotid artery stenting (CAS) risk score is developed based on Chinese internal carotid artery (ICA) stenosis patients recruited in Italy, whether it is equally applicable in Chinese remains unknown. We aimed to investigate Siena CAS risk score value for predicting stroke risk in ICA stenosis patients underwent CAS and explore additional factors for improving accuracy of scoring system. Methods: Totally 401 patients with ICA stenosis who underwent CAS were enrolled. The clinical data (including patient characteristics, lesion features, and procedure-related features) were collected and the Siena CAS score was calculated. Stroke incidence with 30 days was documented. Results: The incidence of stroke was 4.5%, and the Siena CAS score in stroke patients was higher compared with nonstroke patients, further receiver operating characteristic (ROC) curve illustrated that Siena CAS score was acceptable at predicting stroke risk with area under curve (AUC) of .743 (95%CI: .638-.848). Multivariate logistic regression model revealed that Siena CAS score and current fasting-blood glucose (FBG) greater than 7.1 mmol/l independently predicted higher stroke risk; followed ROC curve disclosed that Siena CAS score combined with current FBG greater than 7.1 mmol/l was of good value in predicting stroke risk (AUC: .770 (95%CI: .677-.863)), which was numerically increased compared with Siena CAS score alone. Conclusions: Siena CAS risk scoring system exhibits to be a useful tool to predict stroke risk, and the combination of Siena CAS score and current increased FBG might be a more accurate stratification for stroke risk in Chinese ICA stenosis patients after CAS. |
| Databáze: | OpenAIRE |
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