Individualised reference ranges for markers of muscle recovery assessment in soccer

Publication type:
Journal article
Metadata:
Autoren
  • Sabrina Skorski
  • Werner Pitsch
  • Vanessa Barth
  • Max Walter
  • Mark Pfeiffer
  • Alexander Ferrauti
  • Michael Kellmann
  • Anne Hecksteden
  • Tim Meyer
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000882856800001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1080/17461391.2022.2134052
eISSN
1536-7290
Externe Identifier
  • Clarivate Analytics Document Solution ID: S3UO2
  • PubMed Identifier: 36226544
ISSN
1746-1391
Ausgabe der Veröffentlichung
9
Zeitschrift
EUROPEAN JOURNAL OF SPORT SCIENCE
Schlüsselwörter
  • Recovery
  • monitoring
  • fatigue
  • football
Paginierung
1829 - 1837
Datum der Veröffentlichung
2023
Status
Published
Titel
Individualised reference ranges for markers of muscle recovery assessment in soccer
Sub types
  • Article
Ausgabe der Zeitschrift
23

Data source: Web of Science (Lite)

Other metadata sources:
Abstract
<jats:title>ABSTRACT</jats:title><jats:p>Recently an individualisation algorithm has been developed and shown to significantly improve the diagnostic accuracy of creatine kinase (CK) and urea in endurance sports and Badminton. In this study, the applicability and benefit of this algorithm was evaluated using repeated measures data from 161 professional German soccer players monitored during the 2015–2017 seasons. Venous blood samples were collected after a day off (recovered state) and after a minimum of two strenuous training sessions within 48 h (non‐recovered state) and analysed for CK and urea. Group‐based reference ranges were derived from that same dataset to ensure the best possible reference for comparison. A <jats:italic>z</jats:italic>‐test was conducted to analyse differences in error rates between individualised and group‐based classifications. CK values for the individualised approach showed significantly lower error rates in the assessment of muscle recovery compared to both a population‐based (<jats:italic>p</jats:italic> &lt; .001; <jats:italic>z</jats:italic>‐value: −17.01; test‐pass error rate: 21 vs. 67%; test‐fail: 19 vs. 64%) and a group‐based cut‐off (<jats:italic>p</jats:italic> &lt; .001; <jats:italic>z</jats:italic>‐value: −15.29; test‐pass error rate: 65%; test‐fail: 67%). It could be concluded that the assessment of muscle recovery in soccer using individualised interpretations of blood‐borne markers may offer higher diagnostic accuracy than a population‐based and a sample‐specific group‐based approach.</jats:p>
Autoren
  • Sabrina Skorski
  • Werner Pitsch
  • Vanessa Barth
  • Max Walter
  • Mark Pfeiffer
  • Alexander Ferrauti
  • Michael Kellmann
  • Anne Hecksteden
  • Tim Meyer
DOI
10.1080/17461391.2022.2134052
eISSN
1536-7290
ISSN
1746-1391
Ausgabe der Veröffentlichung
9
Zeitschrift
European Journal of Sport Science
Sprache
en
Online publication date
2022
Paginierung
1829 - 1837
Datum der Veröffentlichung
2023
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1080/17461391.2022.2134052
Datum der Datenerfassung
2024
Titel
Individualised reference ranges for markers of muscle recovery assessment in soccer
Ausgabe der Zeitschrift
23

Data source: Crossref

Abstract
Recently an individualisation algorithm has been developed and shown to significantly improve the diagnostic accuracy of creatine kinase (CK) and urea in endurance sports and Badminton. In this study, the applicability and benefit of this algorithm was evaluated using repeated measures data from 161 professional German soccer players monitored during the 2015-2017 seasons. Venous blood samples were collected after a day off (recovered state) and after a minimum of two strenuous training sessions within 48 h (non-recovered state) and analysed for CK and urea. Group-based reference ranges were derived from that same dataset to ensure the best possible reference for comparison. A <i>z</i>-test was conducted to analyse differences in error rates between individualised and group-based classifications. CK values for the individualised approach showed significantly lower error rates in the assessment of muscle recovery compared to both a population-based (<i>p</i> < .001; <i>z</i>-value: -17.01; test-pass error rate: 21 vs. 67%; test-fail: 19 vs. 64%) and a group-based cut-off (<i>p</i> < .001; <i>z</i>-value: -15.29; test-pass error rate: 65%; test-fail: 67%). It could be concluded that the assessment of muscle recovery in soccer using individualised interpretations of blood-borne markers may offer higher diagnostic accuracy than a population-based and a sample-specific group-based approach.<b>Highlights</b>Assessing muscle recovery via CK using individualised ranges seems to offer a higher diagnostic accuracy than a sample-specific group-based analysis.Using an individualised algorithm seems to be a promising approach to overcome diagnostic problems arising from large inter- and intraindividual variability in blood parameters as it significantly improved the diagnostic accuracy of CK as a recovery marker.As recovery assessment in elite soccer ultimately aims at the accurate detection of differences in the individual player this algorithm seems to offer coaches and sport scientists a more sensitive approach compared to group-specific evaluations.
Addresses
  • Institute of Sport and Preventive Medicine, Saarland University, Saarbruecken, Germany.
Autoren
  • Sabrina Skorski
  • Werner Pitsch
  • Vanessa Barth
  • Max Walter
  • Mark Pfeiffer
  • Alexander Ferrauti
  • Michael Kellmann
  • Anne Hecksteden
  • Tim Meyer
DOI
10.1080/17461391.2022.2134052
eISSN
1536-7290
Externe Identifier
  • PubMed Identifier: 36226544
Funding acknowledgements
  • Bundesinstitut für Sportwissenschaft: IIA1-081901/12-20
  • Bundesinstitut für Sportwissenschaft: IIA1–081901/12–20
Open access
false
ISSN
1746-1391
Ausgabe der Veröffentlichung
9
Zeitschrift
European journal of sport science
Schlüsselwörter
  • Muscles
  • Humans
  • Urea
  • Creatine Kinase
  • Reference Values
  • Sports
  • Soccer
Sprache
eng
Medium
Print-Electronic
Online publication date
2022
Paginierung
1829 - 1837
Datum der Veröffentlichung
2023
Status
Published
Datum der Datenerfassung
2022
Titel
Individualised reference ranges for markers of muscle recovery assessment in soccer.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
23

Data source: Europe PubMed Central

Abstract
Recently an individualisation algorithm has been developed and shown to significantly improve the diagnostic accuracy of creatine kinase (CK) and urea in endurance sports and Badminton. In this study, the applicability and benefit of this algorithm was evaluated using repeated measures data from 161 professional German soccer players monitored during the 2015-2017 seasons. Venous blood samples were collected after a day off (recovered state) and after a minimum of two strenuous training sessions within 48 h (non-recovered state) and analysed for CK and urea. Group-based reference ranges were derived from that same dataset to ensure the best possible reference for comparison. A z-test was conducted to analyse differences in error rates between individualised and group-based classifications. CK values for the individualised approach showed significantly lower error rates in the assessment of muscle recovery compared to both a population-based (p < .001; z-value: -17.01; test-pass error rate: 21 vs. 67%; test-fail: 19 vs. 64%) and a group-based cut-off (p < .001; z-value: -15.29; test-pass error rate: 65%; test-fail: 67%). It could be concluded that the assessment of muscle recovery in soccer using individualised interpretations of blood-borne markers may offer higher diagnostic accuracy than a population-based and a sample-specific group-based approach.HighlightsAssessing muscle recovery via CK using individualised ranges seems to offer a higher diagnostic accuracy than a sample-specific group-based analysis.Using an individualised algorithm seems to be a promising approach to overcome diagnostic problems arising from large inter- and intraindividual variability in blood parameters as it significantly improved the diagnostic accuracy of CK as a recovery marker.As recovery assessment in elite soccer ultimately aims at the accurate detection of differences in the individual player this algorithm seems to offer coaches and sport scientists a more sensitive approach compared to group-specific evaluations.
Autoren
  • Sabrina Skorski
  • Werner Pitsch
  • Vanessa Barth
  • Max Walter
  • Mark Pfeiffer
  • Alexander Ferrauti
  • Michael Kellmann
  • Anne Hecksteden
  • Tim Meyer
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/36226544
DOI
10.1080/17461391.2022.2134052
eISSN
1536-7290
Ausgabe der Veröffentlichung
9
Zeitschrift
Eur J Sport Sci
Schlüsselwörter
  • Recovery
  • fatigue
  • football
  • monitoring
  • Humans
  • Soccer
  • Reference Values
  • Sports
  • Muscles
  • Creatine Kinase
  • Urea
Sprache
eng
Country
Germany
Paginierung
1829 - 1837
Datum der Veröffentlichung
2023
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2023
Titel
Individualised reference ranges for markers of muscle recovery assessment in soccer.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
23

Data source: PubMed

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