Prediction and impact of personalized donation intervals

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Toivonen , J , Koski , Y , Turkulainen , E , Prinsze , F , della Briotta Parolo , P , Heinonen , M & Arvas , M 2022 , ' Prediction and impact of personalized donation intervals ' , Vox Sanguinis , vol. 117 , no. 4 , pp. 504-512 . https://doi.org/10.1111/vox.13223

Title: Prediction and impact of personalized donation intervals
Author: Toivonen, Jarkko; Koski, Yrjö; Turkulainen, Esa; Prinsze, Femmeke; della Briotta Parolo, Pietro; Heinonen, Markus; Arvas, Mikko
Contributor organization: Department of Computer Science
Institute for Molecular Medicine Finland
Genomics of Neurological and Neuropsychiatric Disorders
Kernel Machines, Pattern Analysis and Computational Biology research group / Juho Rousu
Date: 2022-04
Language: eng
Number of pages: 9
Belongs to series: Vox Sanguinis
ISSN: 0042-9007
DOI: https://doi.org/10.1111/vox.13223
URI: http://hdl.handle.net/10138/345963
Abstract: Background and Objectives: Deferral of blood donors due to low haemoglobin (Hb) is demotivating to donors, can be a sign for developing anaemia and incurs costs for blood establishments. The prediction of Hb deferral has been shown to be feasible in a number of studies based on demographic, Hb measurement and donation history data. The aim of this paper is to evaluate how state-of-the-art computational prediction tools can facilitate nationwide personalized donation intervals. Materials and Methods: Using donation history data from the last 20 years in Finland, FinDonor blood donor cohort data and blood service Biobank genotyping data, we built linear and non-linear predictors of Hb deferral. Based on financial data from the Finnish Red Cross Blood Service, we then estimated the economic impacts of deploying such predictors. Results: We discovered that while linear predictors generally predict Hb relatively well, they have difficulties in predicting low Hb values. Overall, we found that non-linear or linear predictors with or without genetic data performed only slightly better than a simple cutoff based on previous Hb. However, if any of our deferral prediction methods are used to assign temporary prolongations of donation intervals for females, then our calculations indicate cost savings while maintaining the blood supply. Conclusion: We find that even though the prediction accuracy is not very high, the actual use of any of our predictors in blood collection is still likely to bring benefits to blood donors and blood establishments alike.
Description: Publisher Copyright: © 2021 The Authors. Vox Sanguinis published by John Wiley & Sons Ltd on behalf of International Society of Blood Transfusion.
Subject: blood collection
donor health
haemoglobin measurement
3121 General medicine, internal medicine and other clinical medicine
1182 Biochemistry, cell and molecular biology
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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