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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Risk assessment model for endpoints of ischemic stroke: A study protocol for a registry study
Yin Zhang1, Guiqian Wang1, Shuailing Sun1
1Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
This study develops a novel risk assessment model for ischemic stroke endpoints by integrating Traditional Chinese Medicine (TCM) and modern medicine indicators. The model aims to improve early detection and management of stroke events.
Area of Science:
- Neurology
- Integrative Medicine
- Epidemiology
Background:
- Ischemic stroke poses a significant health burden globally.
- Current risk assessment models primarily rely on conventional Western medicine indicators.
- There is a need to incorporate complementary approaches like Traditional Chinese Medicine (TCM) for comprehensive risk evaluation.
Purpose of the Study:
- To develop and validate a risk assessment model for ischemic stroke endpoints.
- To integrate Traditional Chinese Medicine (TCM) indicators with modern medicine data.
- To enhance the early detection, intervention, and management of ischemic stroke.
Main Methods:
- A registry-based survey involving 3000 ischemic stroke patients across seven Chinese hospitals.
- One-year follow-up including on-site and telephone monitoring for endpoint events.
- Statistical analyses including frequency analysis, X2 tests, rank-sum tests, and multivariate Cox proportional hazard models.
Main Results:
- Comparative analysis of endpoint event prevalence across different patient groups.
- Correlation analysis between endpoint events and integrated TCM and modern medicine factors.
- Development of a novel, combined risk assessment model.
Conclusions:
- The integrated risk assessment model incorporating both TCM and modern medicine indicators shows promise for improving ischemic stroke management.
- This novel approach has the potential to facilitate earlier warning, intervention, and control of stroke endpoints.
- Further validation and implementation of this model could significantly benefit patient outcomes.
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