A novel network analysis tool to identify relationships between disease states and risks for red blood cell alloimmunization.
We hypothesized that diagnoses may be associated with alloantibody 'responder' status and examined associations between disease states and alloimmunization. Patients with ≥1 alloantibody and non-alloimmunized controls were analysed. Pearson's coefficients were calculated to determine associations between alloimmunization and diseases; significant correlations were selected to construct a network. Inflammatory disorders and diseases requiring chronic transfusion support were associated with responder status. Mitigation steps may be considered in patients with these disorders.
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
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R
Celli
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.
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W
Schulz
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.|Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA.
J E
http://orcid.org/0000-0002-7928-3132
JE
Hendrickson
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, CT, USA.|Pathology & Laboratory Medicine Service, VA Connecticut Healthcare System, West Haven, CT, USA.
C A
http://orcid.org/0000-0003-1785-2245
CA
Tormey
D000368:Aged; D064591:Allografts; D017707:Erythrocyte Transfusion / Q000009:adverse effects*; D004912:Erythrocytes / Q000276:immunology*; D006801:Humans; D007518:Isoantibodies / Q000097:blood*; D008297:Male; D018570:Risk Assessment; D012307:Risk Factors
D007518:Isoantibodies
RBC antibodies; alloimmunization; immunohaematology