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Effect of donor, component, and recipient characteristics on hemoglobin increments following red blood cell transfusion.
Roubinian, Nareg H; Plimier, Colleen; Woo, Jennifer P; Lee, Catherine; Bruhn, Roberta; Liu, Vincent X; Escobar, Gabriel J; Kleinman, Steven H; Triulzi, Darrell J; Murphy, Edward L; Busch, Michael P.
Afiliação
  • Roubinian NH; Kaiser Permanente Northern California Division of Research, Oakland, CA.
  • Plimier C; Vitalant Research Institute, San Francisco, CA.
  • Woo JP; Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA.
  • Lee C; Kaiser Permanente Northern California Division of Research, Oakland, CA.
  • Bruhn R; Department of Pathology and Laboratory Medicine, University of California, Irvine, Irvine, CA.
  • Liu VX; Kaiser Permanente Northern California Division of Research, Oakland, CA.
  • Escobar GJ; Vitalant Research Institute, San Francisco, CA.
  • Kleinman SH; Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA.
  • Triulzi DJ; Kaiser Permanente Northern California Division of Research, Oakland, CA.
  • Murphy EL; Kaiser Permanente Northern California Division of Research, Oakland, CA.
  • Busch MP; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada; and.
Blood ; 134(13): 1003-1013, 2019 09 26.
Article em En | MEDLINE | ID: mdl-31350268
ABSTRACT
Significant research has focused individually on blood donors, product preparation and storage, and optimal transfusion practice. To better understand the interplay between these factors on measures of red blood cell (RBC) transfusion efficacy, we conducted a linked analysis of blood donor and component data with patients who received single-unit RBC transfusions between 2008 and 2016. Hemoglobin levels before and after RBC transfusions and at 24- and 48-hour intervals after transfusion were analyzed. Generalized estimating equation linear regression models were fit to examine hemoglobin increments after RBC transfusion adjusting for donor and recipient demographic characteristics, collection method, additive solution, gamma irradiation, and storage duration. We linked data on 23 194 transfusion recipients who received one or more single-unit RBC transfusions (n = 38 019 units) to donor demographic and component characteristics. Donor and recipient sex, Rh-D status, collection method, gamma irradiation, recipient age and body mass index, and pretransfusion hemoglobin levels were significant predictors of hemoglobin increments in univariate and multivariable analyses (P < .01). For hemoglobin increments 24 hours after transfusion, the coefficient of determination for the generalized estimating equation models was 0.25, with an estimated correlation between actual and predicted values of 0.5. Collectively, blood donor demographic characteristics, collection and processing methods, and recipient characteristics accounted for significant variation in hemoglobin increments related to RBC transfusion. Multivariable modeling allows the prediction of changes in hemoglobin using donor-, component-, and patient-level characteristics. Accounting for these factors will be critical for future analyses of donor and component factors, including genetic polymorphisms, on posttransfusion increments and other patient outcomes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hemoglobinas / Transfusão de Eritrócitos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hemoglobinas / Transfusão de Eritrócitos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article