| Autor: |
B. Moreillon, B. Krumm, J. J. Saugy, M. Saugy, F. Botrè, J. M. Vesin, R. Faiss |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Physiological Reports, Vol 11, Iss 19, Pp n/a-n/a (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2051-817X |
| DOI: |
10.14814/phy2.15834 |
| Popis: |
Abstract 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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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