Are pre‐race serum blood biomarkers associated with the 24‐h ultramarathon race performance?

The 24‐h ultramarathon (UM) race is one of the most demanding competitive sports in terms of muscular and physiological exertion. In this context, predictors of UM athletes' physical performance are in high demand; however, data on the predictive capabilities of hematological variables are still sparse. In the present paper, we retrospectively took into consideration the pre‐race blood biomarker levels (including basic blood count, leukocyte subpopulations, markers of inflammation and organ function, metabolic profile, and electrolytes) of 50 UM athletes (M = 33, F = 17) who completed a 24‐h competition in order to identify a combination of analytes capable of predicting the athletic performance in terms of distance covered during the 24‐h run. The multiple regression analysis produced a model that explained a significant portion of the variance in the dependent variable, with an adjusted R‐squared value of 0.783 (F(13, 36) = 14.58, p < 0.001). A greater race distance was correlated with higher pre‐race values of hematocrit, lactate dehydrogenase (LDH), total cholesterol, HDL/LDL ratio, and triglycerides and lower levels of monocytes, eosinophils, alanine aminotransferase (ALT), gamma‐glutamyl transferase (GGT), total proteins, and sodium. This study represents the first of its kind conducted on 24‐h UM athletes that investigated the association between blood markers and endurance performance. Our model, given its promising predictive power, would serve as a starting point that will require refinement and integration with other traditional performance prediction measures, in order to support athletes and coaches in better managing the training loads during the race‐approaching phases. Highlights: A combination of pre‐race hematological parameters was found to predict the 24‐h ultramarathon race distance in ultra‐endurance athletes.A greater race distance was correlated with higher pre‐race values of hematocrit, lactate dehydrogenase, total cholesterol, HDL/LDL ratio, and triglycerides, and lower levels of monocytes, eosinophils, alanine aminotransferase, gamma‐glutamyl transferase, total proteins, and sodium.The predictive model generated by the multiple regression analysis explained a significant portion of the variance in the dependent variable (race distance), with an adjusted R‐squared value of 0.783. [ABSTRACT FROM AUTHOR]