Research and Expertise in anti-Doping Sciences (REDs), Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Union Cycliste Internationale, World Cycling Centre, Aigle, Switzerland.
Physiol Rep. 2023 Oct;11(19):e15834. doi: 10.14814/phy2.15834.
Hemoglobin concentration ([Hb]) is used for the clinical diagnosis of anemia, and in sports as a marker of blood doping. [Hb] is however subject to significant variations mainly due to shifts in plasma volume (PV). This study proposes a newly developed model able to accurately predict total hemoglobin mass (Hbmass) and PV from a single complete blood count (CBC) and anthropometric variables in healthy subject. Seven hundred and sixty-nine CBC coupled to measures of Hbmass and PV using a CO-rebreathing method were used with a machine learning tool to calculate an estimation model. The predictive model resulted in a root mean square error of 33.2 g and 35.6 g for Hbmass, and 179 mL and 244 mL for PV, in women and men, respectively. Measured and predicted data were significantly correlated (p < 0.001) with a coefficient of determination (R ) ranging from 0.76 to 0.90 for Hbmass and PV, in both women and men. The Bland-Altman bias was on average 0.23 for Hbmass and 4.15 for PV. We herewith present a model with a robust prediction potential for Hbmass and PV. Such model would be relevant in providing complementary data in contexts such as the epidemiology of anemia or the individual monitoring of [Hb] in anti-doping.
血红蛋白浓度 ([Hb]) 用于贫血的临床诊断，在运动中则作为血液兴奋剂的标志物。[Hb] 受到明显的变化，主要是由于血浆容量 (PV) 的变化。本研究提出了一种新的模型，该模型能够从单个全血细胞计数 (CBC) 和健康受试者的人体测量变量中准确预测总血红蛋白质量 (Hbmass) 和 PV。使用机器学习工具，将 769 次 CBC 与使用 CO 再呼吸法测量的 Hbmass 和 PV 相结合，计算出估算模型。预测模型在女性和男性中分别使 Hbmass 的均方根误差达到 33.2g 和 35.6g，使 PV 的均方根误差达到 179mL 和 244mL。测量值和预测值均具有显著相关性 (p<0.001)，决定系数 (R) 范围从 0.76 到 0.90，适用于女性和男性的 Hbmass 和 PV。Bland-Altman 偏差平均为 0.23，适用于 Hbmass，4.15 适用于 PV。我们在此提出了一种具有强大预测潜力的 Hbmass 和 PV 模型。此类模型在贫血的流行病学或反兴奋剂中 [Hb] 的个体监测等方面提供补充数据时会很有帮助。
