Characterizing red blood cell age exposure in massive transfusion therapy: the scalar age of blood index (SBI).


Journal

Transfusion
ISSN: 1537-2995
Titre abrégé: Transfusion
Pays: United States
ID NLM: 0417360

Informations de publication

Date de publication:
08 2019
Historique:
received: 22 01 2019
revised: 10 04 2019
accepted: 18 04 2019
pubmed: 6 5 2019
medline: 2 6 2020
entrez: 4 5 2019
Statut: ppublish

Résumé

The mortality of trauma patients requiring massive transfusion to treat hemorrhagic shock approaches 17% at 24 hours and 26% at 30 days. The use of stored RBCs is limited to less than 42 days, so older RBCs are delivered first to rapidly bleeding trauma patients. Patients who receive a greater quantity of older RBCs may have a higher risk for mortality. Characterizing blood age exposure requires accounting for the age of each RBC unit and the quantity of transfused units. To address this challenge, a novel Scalar Age of Blood Index (SBI) that represents the relative distribution of RBCs received is introduced and applied to a secondary analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios (PROPPR) randomized controlled trial (NCT01545232, https://clinicaltrials.gov/ct2/show/NCT01545232). The effect of the SBI is assessed on the primary PROPPR outcome, 24-hour and 30-day mortality. The distributions of blood storage ages successfully maps to a parameter (SBI) that fully defines the blood age curve for each patient. SBI was a significant predictor of 24-hour and 30-day mortality in an adjusted model that had strong predictive ability (odds ratio, 1.15 [1.01-1.29], p = 0.029, C-statistic, 0.81; odds ratio, 1.14 [1.02-1.28], p = 0.019, C-statistic, 0.88, respectively). SBI is a simple scalar metric of blood age that accounts for the relative distribution of RBCs among age categories. Transfusion of older RBCs is associated with 24-hour and 30-day mortality, after adjustment for total units and clinical covariates.

Sections du résumé

BACKGROUND
The mortality of trauma patients requiring massive transfusion to treat hemorrhagic shock approaches 17% at 24 hours and 26% at 30 days. The use of stored RBCs is limited to less than 42 days, so older RBCs are delivered first to rapidly bleeding trauma patients. Patients who receive a greater quantity of older RBCs may have a higher risk for mortality.
METHODS AND MATERIALS
Characterizing blood age exposure requires accounting for the age of each RBC unit and the quantity of transfused units. To address this challenge, a novel Scalar Age of Blood Index (SBI) that represents the relative distribution of RBCs received is introduced and applied to a secondary analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios (PROPPR) randomized controlled trial (NCT01545232, https://clinicaltrials.gov/ct2/show/NCT01545232). The effect of the SBI is assessed on the primary PROPPR outcome, 24-hour and 30-day mortality.
RESULTS
The distributions of blood storage ages successfully maps to a parameter (SBI) that fully defines the blood age curve for each patient. SBI was a significant predictor of 24-hour and 30-day mortality in an adjusted model that had strong predictive ability (odds ratio, 1.15 [1.01-1.29], p = 0.029, C-statistic, 0.81; odds ratio, 1.14 [1.02-1.28], p = 0.019, C-statistic, 0.88, respectively).
CONCLUSION
SBI is a simple scalar metric of blood age that accounts for the relative distribution of RBCs among age categories. Transfusion of older RBCs is associated with 24-hour and 30-day mortality, after adjustment for total units and clinical covariates.

Identifiants

pubmed: 31050809
doi: 10.1111/trf.15334
pmc: PMC6679795
mid: NIHMS1025621
doi:

Banques de données

ClinicalTrials.gov
['NCT01545232']

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2699-2708

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM074902
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003167
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01HL77864
Pays : United States

Informations de copyright

© 2019 AABB.

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Auteurs

Stacia M DeSantis (SM)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas.

Derek W Brown (DW)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas.

Allison R Jones (AR)

Department of Acute, Chronic and Continuing Care, School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama.

Jose-Miguel Yamal (JM)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, Houston, Texas.

Jean-Francois Pittet (JF)

Department of Pathology and Center for Free Radical Biology, University of Alabama at Birmingham, Birmingham, Alabama.

Rakesh P Patel (RP)

Department of Pathology and Center for Free Radical Biology, University of Alabama at Birmingham, Birmingham, Alabama.

Charles E Wade (CE)

Department of Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.

John B Holcomb (JB)

Department of Surgery, The University of Texas Health Science Center at Houston, Houston, Texas.

Henry Wang (H)

Department of Emergency Medicine, The University of Texas Health Science Center at Houston, Houston, Texas.

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Classifications MeSH