Risk of Rhabdomyolysis and Kidney Injury after Intensive Exercise. Potential of Novel Biomarkers of Kidney Injury: A Narrative Review

High-intensity interval training (HIIT), CrossFit®, strength training, and others, develop athletes' strength, speed, and endurance within a very short period of time, enabling competition at the highest sporting level. At present, they constitute one of the most widely practiced training modalities, used both in competitive and recreational sports. However, excessive intensity of such training sessions provokes substantial muscle damage (rhabdomyolysis) and may lead to renal injury, which in severe cases is diagnosed as acute kidney injury (AKI). This necessitates hospitalization and renal replacement therapy, thereby affecting athletes' health status and limiting their ability to participate in sports activities. The present work is a review of current knowledge on the phenomenon of rhabdomyolysis, its etiological factors, pathomechanisms, and health consequences, accompanied by a concise overview of emerging biomarkers of renal injury. The assessment of these biomarkers following physical exercise may provide new insights into the dynamics of post-exercise changes, indicate the severity and localization of exercise-induced renal damage, and contribute to a deeper understanding of structural kidney injury associated with strenuous physical activity-knowledge that may be applied in the prevention of exertional kidney injuries.

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Publication Details

Journal
Journal of Human Kinetics
Published
2026-04-02
DOI
https://doi.org/10.5114/jhk/218100
Primary Topic
Muscle and Compartmental Disorders
Type
article
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article

Risk of Rhabdomyolysis and Kidney Injury after Intensive Exercise. Potential of Novel Biomarkers of Kidney Injury: A Narrative Review

Eugenia Murawska‐Ciałowicz, Maria Ciałowicz, E Bakońska-Pacoń, Gilmara Gomes de Assis
Journal of Human Kinetics
Muscle and Compartmental Disorders
article

Risk of Rhabdomyolysis and Kidney Injury after Intensive Exercise. Potential of Novel Biomarkers of Kidney Injury: A Narrative Review

Eugenia Murawska‐Ciałowicz, Maria Ciałowicz, E Bakońska-Pacoń, Gilmara Gomes de Assis
article en

Abstract

High-intensity interval training (HIIT), CrossFit®, strength training, and others, develop athletes' strength, speed, and endurance within a very short period of time, enabling competition at the highest sporting level. At present, they constitute one of the most widely practiced training modalities, used both in competitive and recreational sports. However, excessive intensity of such training sessions provokes substantial muscle damage (rhabdomyolysis) and may lead to renal injury, which in severe cases is diagnosed as acute kidney injury (AKI). This necessitates hospitalization and renal replacement therapy, thereby affecting athletes' health status and limiting their ability to participate in sports activities. The present work is a review of current knowledge on the phenomenon of rhabdomyolysis, its etiological factors, pathomechanisms, and health consequences, accompanied by a concise overview of emerging biomarkers of renal injury. The assessment of these biomarkers following physical exercise may provide new insights into the dynamics of post-exercise changes, indicate the severity and localization of exercise-induced renal damage, and contribute to a deeper understanding of structural kidney injury associated with strenuous physical activity-knowledge that may be applied in the prevention of exertional kidney injuries.

Journal of Human KineticsVol. 101(Spec Issue)
Sprint (United States) (US), Universidade Politécnica de Viana do Castelo (PT), Wroclaw University of Health and Sport Sciences (PL), Gdansk University of Physical Education and Sport (PL)
Good health and well-being
Openalex Percentile: Top 21%
Muscle and Compartmental Disorders
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Risk of Rhabdomyolysis and Kidney Injury after Intensive Exercise. Potential of Novel Biomarkers of Kidney Injury: A Narrative Review — Eugenia Murawska‐Ciałowicz, Maria Ciałowicz, et al. · Journal of Human Kinetics (2026) | TGRS Research Map | TGRS