Parisotto Robin, Ashenden Michael J, Gore Christopher J, Sharpe Ken, Hopkins Will, Hahn Allan G
Department of Physiology, Australian Institute of Sport, PO Box 176, Belconnen ACT 2616, Australia.
Haematologica. 2003 Aug;88(8):931-40.
Algorithms that combine scores from multiple blood parameters are demonstrably effective in highlighting recombinant human erythropoietin (rHuEPO) administration, and have been used to deter rHuEPO use by athletes. These models are sensitive to atypical levels of blood parameters encountered during altered states of red cell production. Because hematologic abnormalities can also result in unusual blood profiles, the aim of this study was to document the incidence and magnitude of such abnormalities in an elite athlete population.
We screened blood samples obtained from 413 female and 739 male elite athletes from 12 countries for known hematologic abnormalities, and compared the algorithm scores for these athletes with those of their healthy counterparts. We also established the magnitude of blood parameters required for model scores to exceed cut-offs associated with rHuEPO use.
We found that 0.7% of male and 2.4% of female athletes were iron deficient either with our without anemia. An additional 1.4% of males and 1.0% of females had hemoglobinopathies. On average these athletes' model scores were at or below the score of their healthy counterparts. The greatest influence on our models was hemoglobin concentration. Values of other parameters must exceed normal ranges by a substantial margin in order for model scores to approach levels associated with rHuEPO use.
The hematologic disorders we encountered in elite athletes were not associated with model scores that exceeded the nominal cut-offs that we have previously recommended to delineate rHuEPO use. We did not find any abnormalities among elite endurance athletes that were associated with high model scores.
结合多个血液参数得分的算法在突出重组人促红细胞生成素（rHuEPO）使用方面已被证明是有效的，并已被用于阻止运动员使用rHuEPO。这些模型对红细胞生成状态改变期间遇到的非典型血液参数水平敏感。由于血液学异常也可能导致异常的血液特征，本研究的目的是记录精英运动员群体中此类异常的发生率和严重程度。
我们对来自12个国家的413名女性和739名男性精英运动员的血液样本进行筛查，以检测已知的血液学异常，并将这些运动员的算法得分与其健康对照者的得分进行比较。我们还确定了模型得分超过与rHuEPO使用相关的临界值所需的血液参数幅度。
我们发现，0.7%的男性运动员和2.4%的女性运动员存在缺铁情况，无论是否伴有贫血。另外，1.4%的男性和1.0%的女性患有血红蛋白病。平均而言，这些运动员的模型得分等于或低于其健康对照者的得分。对我们模型影响最大的是血红蛋白浓度。为使模型得分接近与rHuEPO使用相关的水平，其他参数的值必须大幅超过正常范围。
我们在精英运动员中遇到的血液学疾病与超过我们之前建议用于界定rHuEPO使用的名义临界值的模型得分无关。我们在精英耐力运动员中未发现任何与高模型得分相关的异常情况。
