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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
Multiple biomarkers covering distinct pathways for predicting outcomes after ischemic stroke
Chongke Zhong1, Zhengbao Zhu1, Aili Wang1
1From the Department of Epidemiology (C.Z., Z.Z., A.W., Tan Xu, X.B., H.P., J.Y., L.H., Tian Xu, Y.Z.), School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology (C.Z., J.C., J.H.), Tulane University School of Public Health and Tropical Medicine, New Orleans, LA; Department of Epidemiology (J.Y.), School of Public Health, Guizhou Medical University, Guiyang; Department of Preventive Medicine (L.H.), Zhejiang Provincial Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, Ningbo, China; Department of Medicine (J.C., J.H.), Tulane University School of Medicine, New Orleans, LA; Department of Neurology (Tian Xu), Affiliated Hospital of Nantong University, Nantong; Department of Neurology (Y.P.), Affiliated Hospital of North China University of Science and Technology; Department of Neurology (J.W.), Yutian County Hospital, Tangshan; Department of Epidemiology (Q.L.), School of Public Health, Taishan Medical College, Taian; Department of Neurology (Z.J.), Kerqin District First People's Hospital of Tongliao City, Tongliao; and Department of Neurology (D.G.), Affiliated Hospital of Xuzhou Medical College, Xuzhou, China.
Combining multiple novel biomarkers significantly improves risk prediction for adverse outcomes in ischemic stroke patients, including death, disability, and vascular events.
Area of Science:
- Neurology
- Biomarker Discovery
- Cardiovascular Research
Background:
- Ischemic stroke poses a significant global health burden, necessitating improved prognostic tools.
- Current risk stratification models for stroke outcomes often lack precision.
- Novel biomarkers may offer enhanced predictive capabilities for post-stroke complications.
Purpose of the Study:
- To evaluate the combined prognostic value of multiple novel biomarkers in predicting outcomes after acute ischemic stroke.
- To assess the impact of incorporating these biomarkers into existing risk prediction models.
Main Methods:
- Analysis of data from 3,405 participants in the China Antihypertensive Trial in Acute Ischemic Stroke.
- Measurement of 12 informative biomarkers, with a focus on high-sensitive C-reactive protein, complement C3, matrix metalloproteinase-9, hepatocyte growth factor, and antiphosphatidylserine antibodies.
- Multivariable analyses to determine associations with primary (death/major disability) and secondary outcomes (major disability, death, vascular events) at 3 months.
Main Results:
- Elevated levels of specific biomarkers (hs-CRP, C3, MMP-9, HGF, anti-PS antibodies) were individually linked to adverse outcomes.
- A dose-dependent relationship was observed: participants with more elevated biomarkers showed significantly increased risks.
- Individuals with 5 elevated biomarkers had substantially higher odds of the primary outcome (aOR 3.88), major disability (aOR 2.81), death (aOR 5.67), and vascular events (aOR 4.00).
Conclusions:
- A clear gradient exists between the number of elevated novel biomarkers and the risk of major disability, mortality, and vascular events post-stroke.
- Integrating a panel of these biomarkers significantly enhances risk stratification for adverse outcomes in ischemic stroke patients.
- These findings support the clinical utility of multi-biomarker panels for improved stroke outcome prediction.
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