Related Experiment Video

Updated: Feb 1, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.7K

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.

Neurology
|December 16, 2018
PubMed

Insights

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.
Abstract

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.0K
Evaluating Cell Death Signaling by Immunofluorescence in a Rat Model of Ischemic Stroke11:32

Evaluating Cell Death Signaling by Immunofluorescence in a Rat Model of Ischemic Stroke

Published on: January 3, 2025

1.6K

Related Concept Videos

Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
10.8K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Outcomes of Glycolysis01:13

Outcomes of Glycolysis

Nearly all the energy used by cells comes from the bonds that make up complex organic compounds. These organic compounds are broken down into simpler molecules, such as glucose. As a result, cells extract energy from glucose over many chemical reactions—a process called cellular respiration.
Cellular respiration can occur aerobically (with oxygen) or anaerobically (without oxygen). In the presence of oxygen, cellular respiration starts with glycolysis and continues with pyruvate...
107.2K
C4 Pathway and CAM01:27

C4 Pathway and CAM

Most plants use the C3 pathway for carbon fixation. However, some plants, such as sugar cane, corn, and cacti that grow in hot conditions, use alternative pathways to fix carbon and conserve energy loss due to photorespiration. Photorespiration is the process that occurs when the oxygen concentration is high. Under such conditions, the rubisco enzyme in the Calvin cycle binds O2 instead of CO2, which halts photosynthesis and consumes energy.
C4 Pathway
The C4 pathway is used by plants such as...
49.2K
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.9K