Performance and blood monitoring in sports: the artificial intelligence evoking target testing in antidoping (AR.I.E.T.T.A.) project.

AIM: Substances and methods used to increase oxygen blood transport and physical performance can be detected in the blood, but the screening of the athletes to be tested remains a critical issue for the International Federations. This project, AR.I.E.T.T.A., aimed to develop a software capable of analysing athletes' hematological and performance profiles to detect abnormal patterns. METHODS: One-hundred eighty athletes belonging to the International Biathlon Union gave written informed consent to have their hematological data, previously collected according to anti-doping rules, used to develop the AR.I.E.T.T.A. software. RESULTS: Software was developed with the included sections: 1) log-in; 2) data-entry: where data are loaded, stored and grouped; 3) analysis: where data are analysed, validated scores are calculated, and parameters are simultaneously displayed as statistics, tables and graphs, and individual or subpopulation profiles; 4) screening: where an immediate evaluation of the risk score of the present sample and/or the athlete under study is obtained. The sample risk score or AR.I.E.T.T.A. score is calculated by a simple computational system combining different parameters (absolute values and intra-individual variations) considered concurrently. The AR.I.E.T.T.A. score is obtained by the sum of the deviation units derived from each parameter, considering the shift of the present value from the reference values, based on the number of standard deviations. CONCLUSION: AR.I.E.T.T.A. enables a quick evaluation of blood results assisting surveillance programs and perform timely target testing controls on athletes by the International Federations. Future studies aiming to validate the AR.I.E.T.T.A. score and improve the diagnostic accuracy will improve the system.

Blood parameters and biathlon performance.

AIM: Biathlon is a sport that combines cross-country skiing with rifle shooting. There is no well-described model of performance in this multi-sport event. This study aimed to identify the parameters influencing biathlon performance. In addition, the study aimed to search for a relationship between performance and measured blood parameters and to determine whether higher hemoglobin concentration [Hb] was associated with improved performance. METHODS: Eighty-three male biathletes underwent pre-competition blood sampling in selected World Cup competitions. For all athletes (N=83) and for a subgroup of top-athletes (N=37), performance parameters identified were related to final standings by univariate and multiple regression analyses and, subsequently, to blood parameters measured on the same day. In athletes tested twice with different [Hb], performance corresponding to competitions with lower and higher [Hb] was compared. RESULTS: Among the parameters considered, the percent variation for both groups in best skiing time and percent of missed targets were independent determinants of performance (R2=0.853, 0.834, respectively) and were not correlated to blood parameters. In athletes with two samples, despite significantly different (Hb), no corresponding changes in performance were observed. CONCLUSIONS: In this study, the determinants of biathlon performance were identified. A relationship between measured blood parameters was not found, and the individual (Hb) variations observed were not associated with improved performance.