The Essential and Optimal Analgesic and Anti-Inflammatory Medicines for Athletes at the Olympic Games.

BACKGROUND: In 2019, the International Olympic Committee published the first Olympic and Paralympic Model Formulary (OPF), which defined the standardised set of medications required at every Olympic and Paralympic Games for the treatment of athletes. This study aimed to test the OPF to determine whether it meets the clinical needs of the athlete population with respect to medications used for pain and/or inflammation (PI), and to present a revised set of essential PI medications for the OPF based on prevalence of athlete use. Medication-use data of athletes at the Tokyo 2020 and Beijing 2022 Olympic Games (n = 6155) from three sources were used to establish prevalence of PI medicine use and to revise the OPF: (i) doping control forms, (ii) pharmacy dispensing reports, and (iii) injection declaration forms. This revised list was further validated through (iv) medication importation declarations by teams (n = 156), and (v) survey of team physicians (n = 382). RESULTS: Overall prevalence of PI medication use was 36.7%, with higher use by female athletes (female: 44.1%; male: 30.0%; p < 0.001), with non-steroidal anti-inflammatory drugs being the most used class (27%). Use of medications with safety risks were identified, including nimesulide, piroxicam and metamizole. A revised list of 48 PI medications was recommended for the OPF. CONCLUSION: The research led to a revised set of essential medications for the treatment of pain and inflammation to be available for athletes at the Olympic Games, which would lead to a 7% improvement in the numbers of athletes who could have their exact PI medication requirements met by the OPF.

Untargeted Metabolomics Identifies a Novel Panel of Markers for Autologous Blood Transfusion.

Untargeted metabolomics was used to analyze serum and urine samples for biomarkers of autologous blood transfusion (ABT). Red blood cell concentrates from donated blood were stored for 35−36 days prior to reinfusion into the donors. Participants were sampled at different time points post-donation and up to 7 days post-transfusion. Metabolomic profiling was performed using ACQUITY ultra performance liquid chromatography (UPLC), Q-Exactive high resolution/accurate mass spectrometer interfaced with a heated electrospray ionization (HESI-II) source and Orbitrap mass analyzer operated at 35,000 mass resolution. The markers of ABT were determined by principal component analysis and metabolites that had p < 0.05 and met ≥ 2-fold change from baseline were selected. A total of 11 serum and eight urinary metabolites, including two urinary plasticizer metabolites, were altered during the study. By the seventh day post-transfusion, the plasticizers had returned to baseline, while changes in nine other metabolites (seven serum and two urinary) remained. Five of these metabolites (serum inosine, guanosine and sphinganine and urinary isocitrate and erythronate) were upregulated, while serum glycourdeoxycholate, S-allylcysteine, 17-alphahydroxypregnenalone 3 and Glutamine conjugate of C6H10O2 (2)* were downregulated. This is the first study to identify a panel of metabolites, from serum and urine, as markers of ABT. Once independently validated, it could be universally adopted to detect ABT.