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A prehospital scoring system for predicting the need for emergent blood product transfusion.
Avital, Guy; Gelikas, Shaul; Radomislensky, Irina; Tsur, Avishai M; Sorkin, Alex; Shinar, Eilat; Bodas, Moran; Yazer, Mark H; Cap, Andrew P; Chen, Jacob; Glassberg, Elon; Benov, Avi.
Afiliação
  • Avital G; The Trauma and Combat Medicine Branch, Surgeon General's Headquarters, Israel Defense Forces, Ramat Gan, Israel.
  • Gelikas S; Division of Anesthesia, Intensive Care, and Pain Management, Tel-Aviv Medical Center, Tel-Aviv University, Tel-Aviv, Israel.
  • Radomislensky I; The Trauma and Combat Medicine Branch, Surgeon General's Headquarters, Israel Defense Forces, Ramat Gan, Israel.
  • Tsur AM; The National Center for Trauma and Emergency Medicine Research, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel-HaShomer, Israel.
  • Sorkin A; The Trauma and Combat Medicine Branch, Surgeon General's Headquarters, Israel Defense Forces, Ramat Gan, Israel.
  • Shinar E; Department of Medicine 'B'. Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer; affiliated with Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Bodas M; The Trauma and Combat Medicine Branch, Surgeon General's Headquarters, Israel Defense Forces, Ramat Gan, Israel.
  • Yazer MH; Department of Plastic and Reconstructive Surgery, Shamir Medical Centre, Zrifin, Israel.
  • Cap AP; National Blood Services, Magen David Adom, Ramat Gan, Israel.
  • Chen J; The National Center for Trauma and Emergency Medicine Research, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel-HaShomer, Israel.
  • Glassberg E; Department of Emergency Management and Disaster Medicine, Schoole of Public Health, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv-Yafo, Israel.
  • Benov A; Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Transfusion ; 61 Suppl 1: S195-S205, 2021 07.
Article em En | MEDLINE | ID: mdl-34269466
ABSTRACT

BACKGROUND:

Several tools have been proven to predict the need for massive transfusion in trauma casualties, yet tools that are easily applicable in the prehospital setting for predicting the need for any blood product transfusion in the emergency department (ED) are lacking.

METHODS:

A retrospective analysis of the cross-referenced Israeli Defense Forces Trauma Registry and the Israeli National Trauma Registry databases was performed to identify predictors for any blood product transfusion in the ED. A scoring system was developed after internally validating the prediction model. Division to risk groups was performed.

RESULTS:

Seven variables (systolic blood pressure, heart rate, arterial oxygen saturation, trunk involvement, mechanism of injury, chest decompression, and tourniquet application) were included in the scoring system, ranging from 0 to 11.5. Risk groups for ED transfusion included very low (0.8%), low (3.2%), intermediate (8.5%), and high (31.2%) risk.

CONCLUSION:

A scoring system for predicting the need for any blood product transfusion in the ED was developed, based on information readily available in the early stages of prehospital resuscitation, allowing the receiving medical facility to prepare for that need.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ferimentos e Lesões / Transfusão de Sangue Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Transfusion Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Israel

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ferimentos e Lesões / Transfusão de Sangue Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Transfusion Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Israel