Prediction and impact of personalized donation intervals.
blood collection
donor health
haemoglobin measurement
Journal
Vox sanguinis
ISSN: 1423-0410
Titre abrégé: Vox Sang
Pays: England
ID NLM: 0413606
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
revised:
02
11
2021
received:
18
06
2021
accepted:
02
11
2021
pubmed:
27
11
2021
medline:
15
4
2022
entrez:
26
11
2021
Statut:
ppublish
Résumé
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. 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. 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. 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.
Sections du résumé
BACKGROUND AND OBJECTIVES
OBJECTIVE
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
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
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
CONCLUSIONS
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.
Identifiants
pubmed: 34825380
doi: 10.1111/vox.13223
pmc: PMC9299493
doi:
Substances chimiques
Hemoglobins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
504-512Subventions
Organisme : Finnish Red Cross Blood Service (FRCBS)
Organisme : European Blood Alliance
ID : 2019-02
Informations de copyright
© 2021 The Authors. Vox Sanguinis published by John Wiley & Sons Ltd on behalf of International Society of Blood Transfusion.
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