From: Factors Confounding the Athlete Biological Passport: A Systematic Narrative Review
Authors | Subjects | Interventions | [Hb] | Ret% | OFFs | Hct | PV |
---|---|---|---|---|---|---|---|
Haematological disorders and medical interventions | Â | Â | Â | Â | Â | Â | Â |
Parisotto et al. [69] | Elite athletes (n = 1152) | Blood samples were obtained from elite athletes from 12 countries with known haematologic abnormalities (G1). The algorithm scores for these athletes were compared with those of their healthy counterparts (G2) in terms of anaemia, iron deficiency and haemoglobinopathies | Lower (G1) | Higher (G1) | Lower (G1) | Lower (G1) | - |
Stangerup et al. [70] | Recreational athletes (n = 18) | Blood variables were measured at baseline and + 3, + 7, + 14, + 21 and + 28 d after blood donation in 18 iron-sufficient women | ↓ − 8% (3 d) | ↑ + 27% (7 d) *Ret count | - | ↓ − 8% (3 d) | – |
Meurrens [71] | Recreational athletes (n = 24) | Twenty-four moderately trained subjects were randomly divided into a donation (n = 16) and a placebo (n = 8) group. The three donations were spaced 3 months apart, and the recovery of endurance capacity and haematological parameters was monitored up to 1 month after the donation | ↓ − 12% (2 d) | – | – | ↓ − 11% (2 d) | – |
Ryan et al. [72] | Recreational athletes (n = 7) | Haematological values were measured for seven healthy, recreationally active men before (T1), 5 h after (T2) and 5 d (T3) after 4 d of head-down tilt bed rest | ↑ + 11% (T2) | = (NS) *Ret count | – | ↑ + 11% (T2) | ↓ − 14% (T2) |