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324134

Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department

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Last updated: 24 Dec 2024

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Clinical Research (Medical)

Abstract

  Background: Early identification of patients with critical bleeding and coagulopathy who may need massive blood transfusion remains a major challenge, owing to its significant association with high morbidity and mortality in severely injured patients. Aim: We aimed to compare the accuracy of five prediction models of massive transfusion scores; Trauma trauma-associated severe Hemorrhage (TASH) score, Assessment of Blood Consumption (ABC) score, Risk assessment and prediction tool (RAPT) score, and Emergency Transfusion Score (ETS) for the early prediction of the requirement for massive transfusion. Patients and Methods: A prospective observational and Comparative study was carried out at the Emergency Department of Suez Canal University Hospital in Ismailia and Maadi Military Complex in Cairo, on sixty trauma patients fulfilling the inclusion and exclusion criteria. Correlation of all scoring systems with the requirement of massive transfusion, and severity of injuries. The area under the curve (AUROC) was used to compare the scoring systems, Sensitivity, specificity, and positive and negative predictive values were calculated for each prediction model. Results: 83.13% of the patients received massive transfusion. The accuracy was higher for the TASH score (70%) than the ETS score (53.3%). Also, the Area under the curve (AUC) was greater in the TASH score (0.82) than in the ETS score (0.64). Conclusion: The TASH score is an easy and accurate scoring system that could predict the trauma patient's requirement for massive transfusion and thus life-threatening hemorrhage could be predicted at a very early stage.  
 
 

DOI

10.21608/scumj.2023.324134

Keywords

Trauma-induced coagulopathy, Massive blood transfusion scores, TASH, ETS

Authors

First Name

Khaled M.

Last Name

Salama

MiddleName

-

Affiliation

Department of Emergency Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Email

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City

-

Orcid

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First Name

Mohamed A.

Last Name

Ali

MiddleName

-

Affiliation

Department of Emergency Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Email

-

City

-

Orcid

-

First Name

Reda M.

Last Name

Omar

MiddleName

-

Affiliation

Department of Emergency Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Email

-

City

-

Orcid

-

First Name

Yahya B.

Last Name

Mohammed

MiddleName

-

Affiliation

Department of Emergency Medicine, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.

Email

dr.rezk2@gmail.com

City

-

Orcid

0000-0003-2412-4158

Volume

26

Article Issue

9

Related Issue

44148

Issue Date

2023-09-01

Receive Date

2023-11-01

Publish Date

2023-09-01

Print ISSN

1110-6999

Online ISSN

2090-2581

Link

https://scumj.journals.ekb.eg/article_324134.html

Detail API

https://scumj.journals.ekb.eg/service?article_code=324134

Order

9

Type

Original Article

Type Code

938

Publication Type

Journal

Publication Title

Suez Canal University Medical Journal

Publication Link

https://scumj.journals.ekb.eg/

MainTitle

Predictive Factors and Bio-Clinical Scoring Systems of Massive Blood Transfusion in Trauma Patients Attending Emergency Department

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Article

Created At

24 Dec 2024