ArticleVox sanguinis2025
Electronic health records reveal variations in the use of blood units by hour and medical specialty.
Article in Vox sanguinis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Real-World Luspatercept Evidence in Myelodysplastic Neoplasms: A Systematic Review and Bayesian Meta-Analysis.Hematological oncology · 2026Pooled it
- Circadian patterns in transfusion-associated circulatory overload.Transfusion medicine (Oxford, England) · 2026Article
- Fundamentals of big data and artificial intelligence in transfusion medicine.Vox sanguinis · 2026Review
- Electronic health records reveal variations in the use of blood units by hour and medical specialty.Vox sanguinis · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
BACKGROUND AND
objectivesEfficient blood supply chain requires accurate demand estimates. Blood demand is created by clinicians making transfusion decisions based on patient status. To better understand the use of blood units, we tracked their use hourly and across a large hospital organization. MATERIALS AND
methodsWe analysed blood use in adult patients over 2021-2022 at HUS Helsinki University Hospital, serving a population of 1.7 million and consuming a third of blood units used in Finland. We utilized electronic health records (EHR) to map transfusions to patient demographics, diagnoses, medical specialties, treatment events, surgical procedures and laboratory values. Data were matched to transfusions of red blood cells, platelets and plasma using timestamps and treatment episodes.
resultsIn total, 107,331 units were transfused to 19,637 unique patients in 50,978 transfusion episodes. Most transfusions occurred in emergency settings, with 61.5% of use driven by emergency department admissions. The most common diagnoses were malignant neoplasms, anaemia and cardiovascular diseases. In total, 47.9% of transfusions were associated with a surgical procedure. Of these, 72.9% were for urgent surgery. Blood use peaked in the early evening and was lowest during morning office hours.
conclusionThe study offers a comprehensive picture of blood use in one of the largest European hospital organizations. In addition to elective use, a significant portion of blood demand is driven by urgent and emergency needs, which introduce some uncertainty in predicting blood use. Future studies should aim to understand both elective and emergency blood use to help improve demand estimates.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.