Event Title

Correlating Biomarkers with Muscular Properties in Stroke

Session Number

P880

Advisor(s)

Kristen Jakubowski, Northwestern University
Sabrina Lee, Northwestern University

Location

A-117

Start Date

28-4-2016 8:25 AM

End Date

28-4-2016 8:50 AM

Disciplines

Medicine and Health Sciences

Abstract

Stroke is one of the leading causes of long-term disability in the United States. Studying altered neuromuscular mechanics in stroke patients has significant applications in enabling physicians to treat changes related to muscle function. This study aims to correlate biomarker data from stroke patients with their biographical data and muscle architecture data-- quantified by clinical tests and measurements of muscle material properties in the upper extremity. A select set of inflammatory markers and regular biomarkers were first plotted in a scatterplot graph against biographical data. This same set of inflammatory and biomarkers were plotted against shear wave velocity and echogenicity data and then again against data from various clinical tests. The relationship between the data was analyzed using linear regression analysis and generated an r2 value for each graph. Significant correlations were found involving the variables Ostepontin, echogenicity, upper extremity Fugl-Meyer test, passive and active range of motion tests, shear wave velocity, and potassium. Finding these correlations contribute to developing a set of markers to be included in annual blood analysis. This application allows physicians to determine and diagnose onset or severity of stroke, revolutionizing methods for a leading global disability


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Apr 28th, 8:25 AM Apr 28th, 8:50 AM

Correlating Biomarkers with Muscular Properties in Stroke

A-117

Stroke is one of the leading causes of long-term disability in the United States. Studying altered neuromuscular mechanics in stroke patients has significant applications in enabling physicians to treat changes related to muscle function. This study aims to correlate biomarker data from stroke patients with their biographical data and muscle architecture data-- quantified by clinical tests and measurements of muscle material properties in the upper extremity. A select set of inflammatory markers and regular biomarkers were first plotted in a scatterplot graph against biographical data. This same set of inflammatory and biomarkers were plotted against shear wave velocity and echogenicity data and then again against data from various clinical tests. The relationship between the data was analyzed using linear regression analysis and generated an r2 value for each graph. Significant correlations were found involving the variables Ostepontin, echogenicity, upper extremity Fugl-Meyer test, passive and active range of motion tests, shear wave velocity, and potassium. Finding these correlations contribute to developing a set of markers to be included in annual blood analysis. This application allows physicians to determine and diagnose onset or severity of stroke, revolutionizing methods for a leading global disability