Constructing a diagnosis model and visualizing the risk relationship between biomarkers and overuse injuries in well-trained wrestlers
This study aimed to investigate the association between biomarkers and overuse injuries in well-trained wrestlers. Seventy-six well-trained wrestlers on a national team completed two blood sample collections, two clinical overuse injuries diagnoses, and a questionnaire survey at a 2-week interval. Multivariate logistic regression analysis and receiver operating characteristic curve were used to screen for related factors and construct the prediction probability model of overuse injuries. Using a restricted cubic spline further clarifies the relationship between biomarker levels and the risk of overuse injuries. Creatine kinase (CK), cortisol, rheumatoid factor, testosterone in men, and C-reactive protein (CRP) levels in the overuse injuries group were significantly different compared to those in the non-overuse injuries group. The diagnostic efficiency of the prediction probability model was more valuable than any single variable (area under the curve=0.96, Specificity=0.91, Sensitivity=0.89, high accuracy). A J-shaped relationship was noted between biomarkers (cortisol, CRP, and CK) and the risk of overuse injuries (cutoff point: 17.95 µg·dL-1, 4.72 mg·L-1, and 344 U·L-1; p for nonlinearity:<0.001, 0.025, and 0.043, respectively). In conclusion, a predictive model based on biomarkers (cortisol, CRP, and CK) predicted the overuse injuries risk of well-trained wrestlers. High levels of these three biomarkers were associated with a higher risk of overuse injuries, and a J-shaped relationship was observed between them.
© Copyright 2023 International Journal of Sports Medicine. Thieme. All rights reserved.
| Subjects: | |
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| Notations: | biological and medical sciences combat sports |
| Tagging: | Biomarker |
| Published in: | International Journal of Sports Medicine |
| Language: | English |
| Published: |
2023
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| Online Access: | https://doi.org/10.1055/a-2063-0134 |
| Volume: | 44 |
| Issue: | 9 |
| Pages: | 642-649 |
| Document types: | article |
| Level: | advanced |