Cargando…

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

BACKGROUND: Haemorrhagic shock is the leading cause of early preventable death in severe trauma. Delayed treatment is a recognized prognostic factor that can be prevented by efficient organization of care. This study aimed to develop and validate Red Flag, a binary alert identifying blunt trauma pat...

Descripción completa

Detalles Bibliográficos
Autores principales: Hamada, Sophie Rym, Rosa, Anne, Gauss, Tobias, Desclefs, Jean-Philippe, Raux, Mathieu, Harrois, Anatole, Follin, Arnaud, Cook, Fabrice, Boutonnet, Mathieu, Attias, Arie, Ausset, Sylvain, Dhonneur, Gilles, Langeron, Olivier, Paugam-Burtz, Catherine, Pirracchio, Romain, Riou, Bruno, de St Maurice, Guillaume, Vigué, Bernard, Rouquette, Alexandra, Duranteau, Jacques
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935988/
https://www.ncbi.nlm.nih.gov/pubmed/29728151
http://dx.doi.org/10.1186/s13054-018-2026-9
Descripción
Sumario:BACKGROUND: Haemorrhagic shock is the leading cause of early preventable death in severe trauma. Delayed treatment is a recognized prognostic factor that can be prevented by efficient organization of care. This study aimed to develop and validate Red Flag, a binary alert identifying blunt trauma patients with high risk of severe haemorrhage (SH), to be used by the pre-hospital trauma team in order to trigger an adequate intra-hospital standardized haemorrhage control response: massive transfusion protocol and/or immediate haemostatic procedures. METHODS: A multicentre retrospective study of prospectively collected data from a trauma registry (Traumabase®) was performed. SH was defined as: packed red blood cell (RBC) transfusion in the trauma room, or transfusion ≥ 4 RBC in the first 6 h, or lactate ≥ 5 mmol/L, or immediate haemostatic surgery, or interventional radiology and/or death of haemorrhagic shock. Pre-hospital characteristics were selected using a multiple logistic regression model in a derivation cohort to develop a Red Flag binary alert whose performances were confirmed in a validation cohort. RESULTS: Among the 3675 patients of the derivation cohort, 672 (18%) had SH. The final prediction model included five pre-hospital variables: Shock Index ≥ 1, mean arterial blood pressure ≤ 70 mmHg, point of care haemoglobin ≤ 13 g/dl, unstable pelvis and pre-hospital intubation. The Red Flag alert was triggered by the presence of any combination of at least two criteria. Its predictive performances were sensitivity 75% (72–79%), specificity 79% (77–80%) and area under the receiver operating characteristic curve 0.83 (0.81–0.84) in the derivation cohort, and were not significantly different in the independent validation cohort of 2999 patients. CONCLUSION: The Red Flag alert developed and validated in this study has high performance to accurately predict or exclude SH. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-018-2026-9) contains supplementary material, which is available to authorized users.