Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Integrative Data Analysis to Identify Persistent Post-Concussion Deficits and Subsequent Musculoskeletal Injury Risk

Award Number: R21NS122033
ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/03/2021
PERIOD OF PERFORMANCE END DATE: 07/31/2024

Group Awards By:

View Award Description

Integrative Data Analysis to Identify Persistent Post-Concussion Deficits and Subsequent Musculoskeletal Injury Risk - PROJECT SUMMARY/ABSTRACT There are an estimated 1.6 – 3.8 million concussion which occur annually in the United States and they have potentially serious complications including second impact syndrome related fatalities, recurrent concussions or other subsequent injuries, and later life neuropathologies. Current findings have successfully focused on the acute diagnosis of concussions; however, sensitive and specific determination of concussion remains to be elucidated and therefore athletes may be returning to participation despite persistent neurophysiological deficits. Furthermore, potentially due to these persistent deficits, recent evidence is suggesting an elevated risk (↑1.5 – 3.0x) of subsequent musculoskeletal injury in the year following concussion. Therefore, the first aim of this study is to quantify post-concussion neurophysiological deficits utilizing the NINDS common data elements (CDEs) and an instrumented single and dual task gait protocol. The second aim of the study will apply a sophisticated high dimensional integrative and censored sufficient dimension reduction (Hi-CSDR) modeling to assess the effectiveness of common data elements in developing a composite risk score for subsequent musculoskeletal injury. This model will be developed from the extensive existing concussion database which includes both the common data elements and portable gait analysis results. The Hi-CSDR modeling has the advantage of operating in the context of longitudinal analysis with a diverse set of grouped variables, censored and missing data While the elevated risk of post-concussion musculoskeletal injury is well established in the literature, the underlying mechanism has not identified, however preliminary results suggest persistent impairments in postural control may be involved. To achieve these aims, we will recruit ~100 concussed student-athletes who will be assessed on the NINDS CDEs at baseline, through clinical recovery, and monthly up to six months post-concussion to determine neurophysiological recovery. To address a major limitation in the literature, we will recruit approximately an even number of male and female participants. These participants will be added to the existing database (N>400) for the developed of the composite risk score through the Hi-CSDR model to identify musculoskeletal injury risk. All participants will be tracked through electronic medical records to identify musculoskeletal injuries in the year following the concussion while controlling for prior concussion history and prior musculoskeletal injury. These findings, if objectively documented, would identify the role of post-concussion neurophysiological impairments and elucidate a potential underlying mechanism of subsequent musculoskeletal injury.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $0 )
2025	2022	UNIVERSITY OF DELAWARE	550 S COLLEGE AVE	NEWARK	DE	19713	NEW CASTLE	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	12/11/2024	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2022 ( Subtotal = $229,746 )
2022	2022	UNIVERSITY OF DELAWARE	220 HULLIHEN HALL	NEWARK	DE	19716	NEW CASTLE	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	2	8/4/2022	NON-COMPETING CONTINUATION	$229,746
														Subtotal = $229,746

Issue Date FY: 2021 ( Subtotal = $190,052 )
2021	2021	UNIVERSITY OF DELAWARE	220 HULLIHEN HALL	NEWARK	DE	19716	NEW CASTLE	USA	Extramural Research Programs in the Neurosciences and Neurological Disorders	000	1	9/3/2021	NEW	$190,052
														Subtotal = $190,052

Grand Total All Awards = $419,798

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Integrative Data Analysis to Identify Persistent Post-Concussion Deficits and Subsequent Musculoskeletal Injury Risk

Award Number: R21NS122033

ORGANIZATION: NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/03/2021

PERIOD OF PERFORMANCE END DATE: 07/31/2024

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer