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Prediction of Blood Product Donor Characteristics using a Machine Learning Algorithm

Prediction of Blood Product Donor Characteristics using a Machine Learning Algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00037928
Enrollment
200
Registered
2025-09-16
Start date
2023-07-18
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

This study validates a computational method that could be applied to diagnosis, prognosis or predictions in a wide variety of immune-mediated diseases

Interventions

Group 1: This is a single arm observational study. Clinical results and a peripheral blood sample were obtained from healthy blood donors at a single timepoint before donation. Blood samples were anal

Sponsors

University Hospital Regensburg
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Eligibility for thrombocyte donation in the Department of Transfusion Medicine at UKR

Exclusion criteria

Exclusion criteria: No additional criteria

Design outcomes

Primary

MeasureTime frame
No conventional primary endpoint was defined. The objective of this study was to collect information about peripheral blood T cell distributions that could be used to predict a variety of clinical features of the donors or blood products obtained from those donors; in particular, we focus on predicting CMV-IgG serostatus, age and recorded sex.

Secondary

MeasureTime frame
In addition to CMV-IgG serostatus, age and recorded sex, the following demographic and clinical results are recorded for each donor: ABO, RHD, Kell, IABS, HCV_PCR, HIV_PCR, HBV_PCR, HEV_PCR, WNV_PCR, A_AB, B_AB, WBC, RBC, HB, HCT, MCV, MCH, MCHC, PLT, RDWSD, RDWCV, PDW, MPV, NEUT_p, LYMPH_p, MONO_p, EOS_p, BASO_p, IGS_p, NRBC_p, RETI_p, NEUT_c, LYMPH_c, MONO_c, EOS_c, BASO_c, IGS_c, NRBC_c

Countries

Germany

Contacts

Public ContactJames Alexander Hutchinson

University Hospital Regensburg

james.hutchinson@ukr.de09419446831

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026