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BackgroundIt is uncertain whether the duration of red-cell storage affects mortality after transfusion among critically ill adults.MethodsIn an international, multicenter, randomized, double-blind trial, we assigned critically ill adults to receive either the freshest available, compatible, allogeneic red cells (short-term storage group) or standard-issue (oldest available), compatible, allogeneic red cells (long-term storage group). The primary outcome was 90-day mortality.ResultsFrom November 2012 through December 2016, at 59 centers in five countries, 4994 patients underwent randomization and 4919 (98.5%) were included in the primary analysis. Among the 2457 patients in the short-term storage group, the mean storage duration was 11.8 days. Among the 2462 patients in the long-term storage group, the mean storage duration was 22.4 days. At 90 days, there were 610 deaths (24.8%) in the short-term storage group and 594 (24.1%) in the long-term storage group (absolute risk difference, 0.7 percentage points; 95% confidence interval [CI], -1.7 to 3.1; P=0.57). At 180 days, the absolute risk difference was 0.4 percentage points (95% CI, -2.1 to 3.0; P=0.75). Most of the prespecified secondary measures showed no significant between-group differences in outcome.ConclusionsThe age of transfused red cells did not affect 90-day mortality among critically ill adults. (Funded by the Australian National Health and Medical Research Council and others; TRANSFUSE Australian and New Zealand Clinical Trials Registry number, ACTRN12612000453886 ; ClinicalTrials.gov number, NCT01638416 .).

More information Original publication

DOI

10.1056/nejmoa1707572

Type

Journal article

Publication Date

2017-11-01T00:00:00+00:00

Volume

377

Pages

1858 - 1867

Total pages

9

Addresses

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Keywords

TRANSFUSE Investigators and the Australian and New Zealand Intensive Care Society Clinical Trials Group, Humans, Critical Illness, Blood Preservation, Treatment Outcome, Erythrocyte Transfusion, Transplantation, Homologous, Double-Blind Method, Time Factors, Adult, Middle Aged, Female, Male, Intention to Treat Analysis, Kaplan-Meier Estimate