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Predicting the need for massive transfusion in the prehospital setting
Thaddeus J Puzio1, Kyle Kalkwarf2, Bryan A Cotton1
1Department of Surgery and the Center for Translational Injury Research, University of Texas Health Science Center , Houston, TX, USA.
Expert Review of Hematology
|August 5, 2020
Summary
Massive transfusion (MT) prediction scores help identify patients needing large blood volumes. Adapting these scores for pre-hospital use could improve early trauma care and patient triage.
Area of Science:
- Trauma care
- Emergency medicine
- Resuscitation science
Background:
- Massive transfusion (MT) prediction scores aid early identification of patients with massive hemorrhage.
- Current MT scoring systems face limitations in the pre-hospital setting due to complexity and resource constraints.
Purpose of the Study:
- To review the utility of MT scoring systems in predicting the need for massive transfusion.
- To discuss the potential application and effectiveness of MT scoring systems in the pre-hospital setting.
Main Methods:
- Literature search of the PubMed database.
- Review of studies on blood-based resuscitation and MT scoring systems.
- Focus on pre-hospital applicable MT scoring systems.
Main Results:
- MT scores are valuable for hospital resource allocation and alerting to trauma severity.
- Clinical judgment remains essential and should not be replaced by scoring systems.
- Extending MT score utility to the pre-hospital setting offers opportunities for earlier notification and improved patient triage.
Conclusions:
- Pre-hospital MT scoring systems can enhance early trauma patient identification and triage.
- Further development and validation of pre-hospital MT scoring systems are warranted.
- Optimizing MT scoring for pre-hospital use can improve patient outcomes by facilitating timely transfer to appropriate trauma centers.
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