References

2017

Asken, Breton M; Clugston, James R; Snyder, Aliyah R; Bauer, Russell M

Baseline Neurocognitive Performance and Clearance for Athletes to Return to Contact Journal Article

In: Journal of Athletic Training, vol. 52, no. 1, pp. 51–57, 2017, ISBN: 10626050.

Abstract | Links | BibTeX | Tags: Brain Injuries, collegiate athletes, Computerized testing, ImPACT

2016

Schulte, S; Rasmussen, N N; McBeth, J W; Richards, P Q; Yochem, E; Petron, D J; Strathmann, F G

Utilization of the clinical laboratory for the implementation of concussion biomarkers in collegiate football and the necessity of personalized and predictive athlete specific reference intervals Journal Article

In: EPMA Journal, vol. 7, no. 1, 2016.

Abstract | Links | BibTeX | Tags: adult, Article, athlete-derived reference interval, biological marker, Biomarker panel, Blood test, clinical decision making, clinical laboratory, college, collegiate athletes, Concussion, controlled study, diagnostic test accuracy study, follow up, football, health program, human, Male, neuron specific enolase, NSE, prediction, Predictive diagnostics, priority journal, protein blood level, protein S100B, rating scale, reference value, S100B, Sport-related concussion, Sports-related concussion, traumatic brain injury, validation study

@article{Schulte2016b,

title = {Utilization of the clinical laboratory for the implementation of concussion biomarkers in collegiate football and the necessity of personalized and predictive athlete specific reference intervals},

author = {Schulte, S and Rasmussen, N N and McBeth, J W and Richards, P Q and Yochem, E and Petron, D J and Strathmann, F G},

doi = {10.1186/s13167-016-0050-x},

year  = {2016},

date = {2016-01-01},

journal = {EPMA Journal},

volume = {7},

number = {1},

abstract = {Background: A continued interest in concussion biomarkers makes the eventual implementation of identified biomarkers into routine concussion assessment an eventual reality. We sought to develop and test an interdisciplinary approach that could be used to integrate blood-based biomarkers into the established concussion management program for a collegiate football team. Methods: We used a CLIA-certified laboratory for all testing and chose biomarkers where clinically validated testing was available as would be required for results used in clinical decision making. We summarized the existing methods and results for concussion assessment across an entire season to identify and demonstrate the challenges with the eventual integration of a parallel process using blood-based tests for concussion management. We analyzed the results of the biomarkers chosen for trends consistent with the outcome assessments provided from the current concussion management protocols. Results: Baseline samples were collected with three additional post-concussion samples collected at three separate time points from players with a diagnosed concussion (n = 12). A summary of results from currently used concussion assessment tools were compared to the representative biomarkers S100B and NSE results. Nine sport-related concussions occurred during practice and three during play. For S100B, 50% had follow-up testing results lower than the post-injury result. In contrast, 92% of NSE follow-up results were lower than post-injury. One hundred percent of the results for S100B and NSE were within the athlete-derived reference intervals upon return-to-play and season end. Conclusions: The reported workflow provides a framework for the eventual implementation of biomarkers for concussion assessment into existing assessment protocols and strengthens the need for reliance on clinical laboratory testing. Athlete-specific reference intervals will be required to adequately interpret results. © 2016 Schulte et al.},

keywords = {adult, Article, athlete-derived reference interval, biological marker, Biomarker panel, Blood test, clinical decision making, clinical laboratory, college, collegiate athletes, Concussion, controlled study, diagnostic test accuracy study, follow up, football, health program, human, Male, neuron specific enolase, NSE, prediction, Predictive diagnostics, priority journal, protein blood level, protein S100B, rating scale, reference value, S100B, Sport-related concussion, Sports-related concussion, traumatic brain injury, validation study},

pubstate = {published},

tppubtype = {article}

}

Background: A continued interest in concussion biomarkers makes the eventual implementation of identified biomarkers into routine concussion assessment an eventual reality. We sought to develop and test an interdisciplinary approach that could be used to integrate blood-based biomarkers into the established concussion management program for a collegiate football team. Methods: We used a CLIA-certified laboratory for all testing and chose biomarkers where clinically validated testing was available as would be required for results used in clinical decision making. We summarized the existing methods and results for concussion assessment across an entire season to identify and demonstrate the challenges with the eventual integration of a parallel process using blood-based tests for concussion management. We analyzed the results of the biomarkers chosen for trends consistent with the outcome assessments provided from the current concussion management protocols. Results: Baseline samples were collected with three additional post-concussion samples collected at three separate time points from players with a diagnosed concussion (n = 12). A summary of results from currently used concussion assessment tools were compared to the representative biomarkers S100B and NSE results. Nine sport-related concussions occurred during practice and three during play. For S100B, 50% had follow-up testing results lower than the post-injury result. In contrast, 92% of NSE follow-up results were lower than post-injury. One hundred percent of the results for S100B and NSE were within the athlete-derived reference intervals upon return-to-play and season end. Conclusions: The reported workflow provides a framework for the eventual implementation of biomarkers for concussion assessment into existing assessment protocols and strengthens the need for reliance on clinical laboratory testing. Athlete-specific reference intervals will be required to adequately interpret results. © 2016 Schulte et al.

2015

Merritt, V C; Meyer, J E; Arnett, P A

A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale Journal Article

In: Journal of Clinical and Experimental Neuropsychology, vol. 37, no. 7, pp. 764–775, 2015.

Abstract | Links | BibTeX | Tags: Adolescent, Athletic Injuries, brain concussion, CLASSIFICATION, collegiate athletes, Female, human, Humans, Male, neuropsychological test, Neuropsychological Tests, Post-Concussion Syndrome, postconcussion symptoms, self report, SEVERITY of illness index, Sports-related concussion, symptom assessment, Young Adult

@article{Merritt2015b,

title = {A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale},

author = {Merritt, V C and Meyer, J E and Arnett, P A},

doi = {10.1080/13803395.2015.1060950},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Clinical and Experimental Neuropsychology},

volume = {37},

number = {7},

pages = {764--775},

abstract = {Introduction: Self-report measures such as the Post-Concussion Symptom Scale (PCSS) are frequently used during baseline and postconcussion testing to evaluate athletes symptom profiles. However, the common approach of evaluating the total symptom score and/or symptom clusters may not allow for a complete understanding of the nature of athletes symptom reporting patterns. The primary objective of this study was to apply three "global indices of distress" variables, derived from the Symptom Checklist-90-Revised (SCL-90-R) framework, to the PCSS at baseline and postconcussion. We aimed to evaluate the utility of these symptom indices in relation to four PCSS symptom clusters and the total PCSS symptom score. Method: Participants included college athletes evaluated at baseline (N = 846) and postconcussion (N = 86). Athletes underwent neuropsychological testing at both time points, including completion of the PCSS and a paper/pencil and computerized test battery. Eight symptom indices were derived from the PCSS, and a postconcussion neurocognitive composite score was calculated. Results: Results showed that there were significant mean increases from baseline to postconcussion on four of the eight symptom indices evaluated. Furthermore, a significant proportion of athletes showed no change from baseline to postconcussion when evaluating the total symptom score, but showed at least a one standard deviation increase in symptom reporting from baseline to postconcussion when evaluating at least one other symptom index (i.e., a global index of distress or symptom cluster). Finally, the three global indices of distress variables, two of the four symptom clusters, and the total symptom score significantly predicted a postconcussion neurocognitive composite score, such that greater postconcussion symptoms were associated with lower postconcussion neurocognitive performance. Conclusions: These findings suggest that, in addition to evaluating the postconcussion total symptom score, there may be value in examining more specific symptom indices such as the global indices of distress variables and symptom clusters. © 2015 Taylor \& Francis.},

keywords = {Adolescent, Athletic Injuries, brain concussion, CLASSIFICATION, collegiate athletes, Female, human, Humans, Male, neuropsychological test, Neuropsychological Tests, Post-Concussion Syndrome, postconcussion symptoms, self report, SEVERITY of illness index, Sports-related concussion, symptom assessment, Young Adult},

pubstate = {published},

tppubtype = {article}

}

Introduction: Self-report measures such as the Post-Concussion Symptom Scale (PCSS) are frequently used during baseline and postconcussion testing to evaluate athletes symptom profiles. However, the common approach of evaluating the total symptom score and/or symptom clusters may not allow for a complete understanding of the nature of athletes symptom reporting patterns. The primary objective of this study was to apply three "global indices of distress" variables, derived from the Symptom Checklist-90-Revised (SCL-90-R) framework, to the PCSS at baseline and postconcussion. We aimed to evaluate the utility of these symptom indices in relation to four PCSS symptom clusters and the total PCSS symptom score. Method: Participants included college athletes evaluated at baseline (N = 846) and postconcussion (N = 86). Athletes underwent neuropsychological testing at both time points, including completion of the PCSS and a paper/pencil and computerized test battery. Eight symptom indices were derived from the PCSS, and a postconcussion neurocognitive composite score was calculated. Results: Results showed that there were significant mean increases from baseline to postconcussion on four of the eight symptom indices evaluated. Furthermore, a significant proportion of athletes showed no change from baseline to postconcussion when evaluating the total symptom score, but showed at least a one standard deviation increase in symptom reporting from baseline to postconcussion when evaluating at least one other symptom index (i.e., a global index of distress or symptom cluster). Finally, the three global indices of distress variables, two of the four symptom clusters, and the total symptom score significantly predicted a postconcussion neurocognitive composite score, such that greater postconcussion symptoms were associated with lower postconcussion neurocognitive performance. Conclusions: These findings suggest that, in addition to evaluating the postconcussion total symptom score, there may be value in examining more specific symptom indices such as the global indices of distress variables and symptom clusters. © 2015 Taylor & Francis.

Reference Search

Asken, Breton M; Clugston, James R; Snyder, Aliyah R; Bauer, Russell M

Baseline Neurocognitive Performance and Clearance for Athletes to Return to Contact Journal Article

In: Journal of Athletic Training, vol. 52, no. 1, pp. 51–57, 2017, ISBN: 10626050.

Abstract | Links | BibTeX

Schulte, S; Rasmussen, N N; McBeth, J W; Richards, P Q; Yochem, E; Petron, D J; Strathmann, F G

In: EPMA Journal, vol. 7, no. 1, 2016.

Abstract | Links | BibTeX

@article{Schulte2016b,

title = {Utilization of the clinical laboratory for the implementation of concussion biomarkers in collegiate football and the necessity of personalized and predictive athlete specific reference intervals},

author = {Schulte, S and Rasmussen, N N and McBeth, J W and Richards, P Q and Yochem, E and Petron, D J and Strathmann, F G},

doi = {10.1186/s13167-016-0050-x},

year  = {2016},

date = {2016-01-01},

journal = {EPMA Journal},

volume = {7},

number = {1},

abstract = {Background: A continued interest in concussion biomarkers makes the eventual implementation of identified biomarkers into routine concussion assessment an eventual reality. We sought to develop and test an interdisciplinary approach that could be used to integrate blood-based biomarkers into the established concussion management program for a collegiate football team. Methods: We used a CLIA-certified laboratory for all testing and chose biomarkers where clinically validated testing was available as would be required for results used in clinical decision making. We summarized the existing methods and results for concussion assessment across an entire season to identify and demonstrate the challenges with the eventual integration of a parallel process using blood-based tests for concussion management. We analyzed the results of the biomarkers chosen for trends consistent with the outcome assessments provided from the current concussion management protocols. Results: Baseline samples were collected with three additional post-concussion samples collected at three separate time points from players with a diagnosed concussion (n = 12). A summary of results from currently used concussion assessment tools were compared to the representative biomarkers S100B and NSE results. Nine sport-related concussions occurred during practice and three during play. For S100B, 50% had follow-up testing results lower than the post-injury result. In contrast, 92% of NSE follow-up results were lower than post-injury. One hundred percent of the results for S100B and NSE were within the athlete-derived reference intervals upon return-to-play and season end. Conclusions: The reported workflow provides a framework for the eventual implementation of biomarkers for concussion assessment into existing assessment protocols and strengthens the need for reliance on clinical laboratory testing. Athlete-specific reference intervals will be required to adequately interpret results. © 2016 Schulte et al.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Merritt, V C; Meyer, J E; Arnett, P A

A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale Journal Article

In: Journal of Clinical and Experimental Neuropsychology, vol. 37, no. 7, pp. 764–775, 2015.

Abstract | Links | BibTeX

@article{Merritt2015b,

title = {A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale},

author = {Merritt, V C and Meyer, J E and Arnett, P A},

doi = {10.1080/13803395.2015.1060950},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Clinical and Experimental Neuropsychology},

volume = {37},

number = {7},

pages = {764--775},

abstract = {Introduction: Self-report measures such as the Post-Concussion Symptom Scale (PCSS) are frequently used during baseline and postconcussion testing to evaluate athletes symptom profiles. However, the common approach of evaluating the total symptom score and/or symptom clusters may not allow for a complete understanding of the nature of athletes symptom reporting patterns. The primary objective of this study was to apply three "global indices of distress" variables, derived from the Symptom Checklist-90-Revised (SCL-90-R) framework, to the PCSS at baseline and postconcussion. We aimed to evaluate the utility of these symptom indices in relation to four PCSS symptom clusters and the total PCSS symptom score. Method: Participants included college athletes evaluated at baseline (N = 846) and postconcussion (N = 86). Athletes underwent neuropsychological testing at both time points, including completion of the PCSS and a paper/pencil and computerized test battery. Eight symptom indices were derived from the PCSS, and a postconcussion neurocognitive composite score was calculated. Results: Results showed that there were significant mean increases from baseline to postconcussion on four of the eight symptom indices evaluated. Furthermore, a significant proportion of athletes showed no change from baseline to postconcussion when evaluating the total symptom score, but showed at least a one standard deviation increase in symptom reporting from baseline to postconcussion when evaluating at least one other symptom index (i.e., a global index of distress or symptom cluster). Finally, the three global indices of distress variables, two of the four symptom clusters, and the total symptom score significantly predicted a postconcussion neurocognitive composite score, such that greater postconcussion symptoms were associated with lower postconcussion neurocognitive performance. Conclusions: These findings suggest that, in addition to evaluating the postconcussion total symptom score, there may be value in examining more specific symptom indices such as the global indices of distress variables and symptom clusters. © 2015 Taylor \& Francis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Most Referenced Keywords

Show all

2017

Asken, Breton M; Clugston, James R; Snyder, Aliyah R; Bauer, Russell M

Baseline Neurocognitive Performance and Clearance for Athletes to Return to Contact Journal Article

In: Journal of Athletic Training, vol. 52, no. 1, pp. 51–57, 2017, ISBN: 10626050.

Abstract | Links | BibTeX | Tags: Brain Injuries, collegiate athletes, Computerized testing, ImPACT

2016

Schulte, S; Rasmussen, N N; McBeth, J W; Richards, P Q; Yochem, E; Petron, D J; Strathmann, F G

In: EPMA Journal, vol. 7, no. 1, 2016.

@article{Schulte2016b,

title = {Utilization of the clinical laboratory for the implementation of concussion biomarkers in collegiate football and the necessity of personalized and predictive athlete specific reference intervals},

author = {Schulte, S and Rasmussen, N N and McBeth, J W and Richards, P Q and Yochem, E and Petron, D J and Strathmann, F G},

doi = {10.1186/s13167-016-0050-x},

year  = {2016},

date = {2016-01-01},

journal = {EPMA Journal},

volume = {7},

number = {1},

abstract = {Background: A continued interest in concussion biomarkers makes the eventual implementation of identified biomarkers into routine concussion assessment an eventual reality. We sought to develop and test an interdisciplinary approach that could be used to integrate blood-based biomarkers into the established concussion management program for a collegiate football team. Methods: We used a CLIA-certified laboratory for all testing and chose biomarkers where clinically validated testing was available as would be required for results used in clinical decision making. We summarized the existing methods and results for concussion assessment across an entire season to identify and demonstrate the challenges with the eventual integration of a parallel process using blood-based tests for concussion management. We analyzed the results of the biomarkers chosen for trends consistent with the outcome assessments provided from the current concussion management protocols. Results: Baseline samples were collected with three additional post-concussion samples collected at three separate time points from players with a diagnosed concussion (n = 12). A summary of results from currently used concussion assessment tools were compared to the representative biomarkers S100B and NSE results. Nine sport-related concussions occurred during practice and three during play. For S100B, 50% had follow-up testing results lower than the post-injury result. In contrast, 92% of NSE follow-up results were lower than post-injury. One hundred percent of the results for S100B and NSE were within the athlete-derived reference intervals upon return-to-play and season end. Conclusions: The reported workflow provides a framework for the eventual implementation of biomarkers for concussion assessment into existing assessment protocols and strengthens the need for reliance on clinical laboratory testing. Athlete-specific reference intervals will be required to adequately interpret results. © 2016 Schulte et al.},

keywords = {adult, Article, athlete-derived reference interval, biological marker, Biomarker panel, Blood test, clinical decision making, clinical laboratory, college, collegiate athletes, Concussion, controlled study, diagnostic test accuracy study, follow up, football, health program, human, Male, neuron specific enolase, NSE, prediction, Predictive diagnostics, priority journal, protein blood level, protein S100B, rating scale, reference value, S100B, Sport-related concussion, Sports-related concussion, traumatic brain injury, validation study},

pubstate = {published},

tppubtype = {article}

}

2015

Merritt, V C; Meyer, J E; Arnett, P A

A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale Journal Article

In: Journal of Clinical and Experimental Neuropsychology, vol. 37, no. 7, pp. 764–775, 2015.

@article{Merritt2015b,

title = {A novel approach to classifying postconcussion symptoms: The application of a new framework to the Post-Concussion Symptom Scale},

author = {Merritt, V C and Meyer, J E and Arnett, P A},

doi = {10.1080/13803395.2015.1060950},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Clinical and Experimental Neuropsychology},

volume = {37},

number = {7},

pages = {764--775},

abstract = {Introduction: Self-report measures such as the Post-Concussion Symptom Scale (PCSS) are frequently used during baseline and postconcussion testing to evaluate athletes symptom profiles. However, the common approach of evaluating the total symptom score and/or symptom clusters may not allow for a complete understanding of the nature of athletes symptom reporting patterns. The primary objective of this study was to apply three "global indices of distress" variables, derived from the Symptom Checklist-90-Revised (SCL-90-R) framework, to the PCSS at baseline and postconcussion. We aimed to evaluate the utility of these symptom indices in relation to four PCSS symptom clusters and the total PCSS symptom score. Method: Participants included college athletes evaluated at baseline (N = 846) and postconcussion (N = 86). Athletes underwent neuropsychological testing at both time points, including completion of the PCSS and a paper/pencil and computerized test battery. Eight symptom indices were derived from the PCSS, and a postconcussion neurocognitive composite score was calculated. Results: Results showed that there were significant mean increases from baseline to postconcussion on four of the eight symptom indices evaluated. Furthermore, a significant proportion of athletes showed no change from baseline to postconcussion when evaluating the total symptom score, but showed at least a one standard deviation increase in symptom reporting from baseline to postconcussion when evaluating at least one other symptom index (i.e., a global index of distress or symptom cluster). Finally, the three global indices of distress variables, two of the four symptom clusters, and the total symptom score significantly predicted a postconcussion neurocognitive composite score, such that greater postconcussion symptoms were associated with lower postconcussion neurocognitive performance. Conclusions: These findings suggest that, in addition to evaluating the postconcussion total symptom score, there may be value in examining more specific symptom indices such as the global indices of distress variables and symptom clusters. © 2015 Taylor \& Francis.},

keywords = {Adolescent, Athletic Injuries, brain concussion, CLASSIFICATION, collegiate athletes, Female, human, Humans, Male, neuropsychological test, Neuropsychological Tests, Post-Concussion Syndrome, postconcussion symptoms, self report, SEVERITY of illness index, Sports-related concussion, symptom assessment, Young Adult},

pubstate = {published},

tppubtype = {article}

}

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