Prediction of plasma volume and total hemoglobin mass with machine learning.

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State: Public
Version: author
License: CC BY 4.0
Serval ID
serval:BIB_0A1CFCC7BBFC
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Prediction of plasma volume and total hemoglobin mass with machine learning.
Journal
Physiological reports
Author(s)
Moreillon B., Krumm B., Saugy J.J., Saugy M., Botrè F., Vesin J.M., Faiss R.
ISSN
2051-817X (Electronic)
ISSN-L
2051-817X
Publication state
Published
Issued date
10/2023
Peer-reviewed
Oui
Volume
11
Number
19
Pages
e15834
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
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 < 0.001) with a coefficient of determination (R <sup>2</sup> ) 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.
Keywords
Male, Humans, Female, Plasma Volume, Hemoglobins/analysis, Doping in Sports, Anthropometry, Anemia, blood, machine learning, plasma volume, prediction, total hemoglobin mass
Pubmed
Open Access
Yes
Create date
13/12/2023 15:43
Last modification date
17/07/2024 7:09
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