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A simple assessment of haemothoraces thickness predicts abundant transfusion: a series of 525 blunt trauma patients.
Gignon, Lucile; Charbit, Jonathan; Maury, Camille; Latry, Pascal; Taourel, Patrice; Millet, Ingrid; Capdevila, Xavier.
Afiliação
  • Gignon L; Trauma Intensive Care Unit, Lapeyronie University Hospital, Montpellier, France. Electronic address: lucile.gignon@gmail.com.
  • Charbit J; Trauma Intensive Care Unit, Lapeyronie University Hospital, Montpellier, France.
  • Maury C; Trauma Intensive Care Unit, Lapeyronie University Hospital, Montpellier, France.
  • Latry P; Department of Hemovigilance and Transfusion, Lapeyronie University Hospital, Montpellier, Cedex 5, F-34295, France.
  • Taourel P; Department of Radiology, Lapeyronie University Hospital, Montpellier, France.
  • Millet I; Department of Radiology, Lapeyronie University Hospital, Montpellier, France.
  • Capdevila X; Trauma Intensive Care Unit, Lapeyronie University Hospital, Montpellier, France; Institut National de la Santé et de la Recherche Médicale, Equipe soutenue par la Région et l'Inserm U1046, Montpellier, Cedex 5, F-34295, France.
Injury ; 46(1): 54-60, 2015 Jan.
Article em En | MEDLINE | ID: mdl-25260981
ABSTRACT

BACKGROUND:

The goal of this study was to evaluate the performance of haemothorax quantification to predict an abundant transfusion in blunt thoracic trauma patients.

METHODS:

This study included all severe trauma patients admitted into our trauma centre from January 2005 to January 2010, who presented a blunt thoracic trauma (thoracic AIS ≥1) and had a CT scan within the first hour following admission. For each haemothorax, thickness of dominant side and the cumulated thicknesses of both sides (Dominant-t, Cumulated-t), as well as lengths (Dominant-l, Cumulated-l) and the calculated volumes (Dominant-v, Cumulated-v provided by a previously validated formula) were retrospectively measured by CT scan. A multiple logistic regression was performed to define the independent risk factors for an abundant transfusion (≥5 packed red blood cells in the first 24h). Finally, ROC curves have been drawn on an isolated thoracic trauma subgroup to predict abundant transfusion. The more specific cut-offs were extracted from this analysis.

RESULTS:

From the 525 blunt thoracic trauma patients (75% males, mean age 38.2 (SD18.7) years, mean ISS 22.5 (SD16.4)), 31% received an abundant transfusion. In multivariable analysis, Cumulated-t was significantly associated with an abundant transfusion (OR 1.3 [95% CI 1.1-1.4], P=0.002). In isolated thoracic trauma subgroup (n=251), the global abilities of different CT measurements to predict abundant transfusion were significantly comparable (AUCs 0.69-0.70). The more specific cut-offs were established at 28mm for Cumulated-t (specificity 92%, positive predictive value 47%) and at 24mm for Dominant-t (specificity 92%; positive predictive value 43%).

CONCLUSION:

The haemothorax quantification upon admission may help to predict transfusion needs. Cumulated-t was found independent risk factor for abundant transfusion in a large population of severe trauma patients. Beyond a Cumulated-t of 28mm or a Dominant-t of 24mm, abundant transfusion will be very frequently necessary. LEVEL OF EVIDENCE Retrospective review, level III.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Traumatismos Torácicos / Centros de Traumatologia / Ferimentos não Penetrantes / Transfusão de Sangue / Tomografia Computadorizada por Raios X / Hemotórax Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Traumatismos Torácicos / Centros de Traumatologia / Ferimentos não Penetrantes / Transfusão de Sangue / Tomografia Computadorizada por Raios X / Hemotórax Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article