Literature DB >> 31270827

The impact of recipient factors on the lower-than-expected hemoglobin increment in transfused outpatients with hematologic diseases.

Matthew S Karafin1,2, Roberta Bruhn3, Nareg H Roubinian3,4, Dhuly Chowdhury5, Lirong Qu6, Edward L Snyder7, Edward L Murphy3,8, Don Brambilla5, Ritchard G Cable9, Joan F Hilton8, Elizabeth St Lezin8,10.   

Abstract

BACKGROUND: Patients with cancer or chronic hematologic disorders frequently receive red blood cell (RBC) transfusions. Based on long-standing assumptions, each RBC unit is thought to increase recipient hemoglobin by 1 g/dL, but smaller increments can occur. A better understanding of recipient factors affecting hemoglobin increments could help providers manage these patients.
METHODS: Data were collected as a part of the observational Red Cells in Outpatients Transfusion Outcomes (RETRO) study of outpatients with hematologic or cancer-related diagnoses. Hemoglobin was measured before transfusion and 30 minutes after transfusion. A classification and regression tree (CART) analysis was performed to identify statistically significant associations with clinical variables. A corresponding prediction equation was developed and validated using linear regression.
RESULTS: A total of 195 participants had both pre- and posttransfusion hemoglobin values for analysis. The median age was 66 years, and patients received one (73%) or two (27%) RBC units during the transfusion episode. The overall median change in hemoglobin was 0.6 g/dL per RBC unit. Both CART analysis and linear regression identified the following significant predictors of hemoglobin increment: number of units received (positive correlation), patient estimated circulating blood volume (negative correlation), pretransfusion hemoglobin (negative correlation), and patient age (negative correlation).
CONCLUSION: In this study of outpatients with hematologic disease, most patients had a hemoglobin increment of less than 1 g/dL/unit. Recipient-specific factors influenced the hemoglobin increment at 30 minutes, and providers should consider circulating blood volume, pretransfusion hemoglobin, and recipient age, when developing patient-specific RBC transfusion plans for this unique cohort.
© 2019 AABB.

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Year:  2019        PMID: 31270827     DOI: 10.1111/trf.15439

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  5 in total

1.  Diversity in a blood bag: application of omics technologies to inform precision Transfusion Medicine.

Authors:  Tamir Kanias; Michael P Busch
Journal:  Blood Transfus       Date:  2019-06-05       Impact factor: 3.443

2.  Methodological considerations for linked blood donor-component-recipient analyses in transfusion medicine research.

Authors:  Nareg Roubinian; Steven Kleinman; Edward L Murphy; Simone A Glynn; Gustaf Edgren
Journal:  ISBT Sci Ser       Date:  2019-08-28

3.  A rose is a rose is a rose, or not.

Authors:  Steven L Spitalnik
Journal:  Blood       Date:  2019-09-26       Impact factor: 22.113

4.  Additive effects of blood donor smoking and gamma irradiation on outcome measures of red blood cell transfusion.

Authors:  Robert A DeSimone; Colleen Plimier; Catherine Lee; Tamir Kanias; Melissa M Cushing; Bruce S Sachais; Steven Kleinman; Michael P Busch; Nareg H Roubinian
Journal:  Transfusion       Date:  2020-05-01       Impact factor: 3.337

5.  Donor genetic and nongenetic factors affecting red blood cell transfusion effectiveness.

Authors:  Nareg H Roubinian; Sarah E Reese; Hannah Qiao; Colleen Plimier; Fang Fang; Grier P Page; Ritchard G Cable; Brian Custer; Mark T Gladwin; Ruchika Goel; Bob Harris; Jeanne E Hendrickson; Tamir Kanias; Steve Kleinman; Alan E Mast; Steven R Sloan; Bryan R Spencer; Steven L Spitalnik; Michael P Busch; Eldad A Hod
Journal:  JCI Insight       Date:  2022-01-11
  5 in total

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