Literature DB >> 26727091

Utilizing Group-based Trajectory Modeling to Understand Patterns of Hemorrhage and Resuscitation.

Stephanie A Savage1, Joshua J Sumislawski, Teresa M Bell, Ben L Zarzaur.   

Abstract

OBJECTIVE: The purpose of this study was to describe variations in blood-based resuscitation in an injured cohort. We hypothesize that distinct transfusion trajectories are present.
BACKGROUND: Retrospective studies of hemorrhage utilize the concept of massive transfusion, where a set volume of blood is required. Patterns of hemorrhage vary and massive transfusion does little to describe these differences.
METHODS: Patients were prospectively included from June 2012 to 2013. Time of transfusion for each packed red blood cell (PRBC) transfused was recorded, in minutes, for all patients. Additional measures included demographic and injury data, admission laboratory values, and vital signs and outcomes including mortality, tempo of transfusion, and operative requirements. Group-based trajectory modeling was utilized to describe transfusion trajectories throughout the cohort.
RESULTS: Three hundred sixteen patients met the inclusion criteria. Among them, 72% were men and median age was 35 years (interquartile range [IQR] 24-50), median injury severity score was 13 (IQR 9-22), median 24-hour transfusion volume was 4 units of PRBCs (IQR 2-8), and mortality was 14%. Six transfusion trajectories were identified. Among the patients, 35% received negligible transfusions (group 1). Groups 2 and 3 received greater than 15 units PRBCs-the former as early resuscitation, whereas the latter intermittently throughout the day. Groups 4 and 5 had similar small resuscitations with distinct demographic differences. Group 6 suffered blunt injuries and required rapid resuscitation.
CONCLUSIONS: Traditional definitions of massive transfusion are broad and imprecise. In cohorts of severely injured patients, there are distinct, identifiable transfusion trajectories. Identification of subgroups is important in understanding clinical course and to anticipate resuscitative and therapeutic needs.

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Year:  2016        PMID: 26727091     DOI: 10.1097/SLA.0000000000001555

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  5 in total

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2.  Association of Early, High Plasma-to-Red Blood Cell Transfusion Ratio With Mortality in Adults With Severe Bleeding After Trauma.

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4.  Development and validation of a pre-hospital "Red Flag" alert for activation of intra-hospital haemorrhage control response in blunt trauma.

Authors:  Sophie Rym Hamada; Anne Rosa; Tobias Gauss; Jean-Philippe Desclefs; Mathieu Raux; Anatole Harrois; Arnaud Follin; Fabrice Cook; Mathieu Boutonnet; Arie Attias; Sylvain Ausset; Mathieu Boutonnet; Gilles Dhonneur; Jacques Duranteau; Olivier Langeron; Catherine Paugam-Burtz; Romain Pirracchio; Guillaume de St Maurice; Bernard Vigué; Alexandra Rouquette; Jacques Duranteau
Journal:  Crit Care       Date:  2018-05-05       Impact factor: 9.097

5.  Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns.

Authors:  Makoto Mori; Cornell Brooks; Erica Spatz; Bobak J Mortazavi; Sanket S Dhruva; George C Linderman; Lawrence A Grab; Yawei Zhang; Arnar Geirsson; Sarwat I Chaudhry; Harlan M Krumholz
Journal:  BMJ Open       Date:  2020-09-01       Impact factor: 2.692

  5 in total

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