ArticleJournal of clinical medicine2020
Validation of the mTICCS Score as a Useful Tool for the Early Prediction of a Massive Transfusion in Patients with a Traumatic Hemorrhage.
Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Validation of the FASILA Score for Predicting Interventions and Outcomes in Traumatic Abdominal and Pelvic Injuries: A Prospective Clinical Study.World journal of surgery · 2025Article
- [Prehospital blood transfusion : Opportunities and challenges for the German emergency medical services].Die Anaesthesiologie · 2024Review
- Correlations between coagulation abnormalities and inflammatory markers in trauma-induced coagulopathy.Frontiers in physiology · 2024Article
- Patients at Risk for Transfusion-A Six-Year Multicentre Analysis of More Than 320,000 Helicopter Emergency Medical Service Missions.Journal of clinical medicine · 2023Article
- A prediction model for massive hemorrhage in trauma: a retrospective observational study.BMC emergency medicine · 2022Observational
- mTICCS and its inter-rater reliability to predict the need for massive transfusion in severely injured patients.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022Article
- New Diagnostic and Therapeutic Approaches for the Care of the Severely Injured Patient.Journal of clinical medicine · 2020Article
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The modified Trauma-Induced Coagulopathy Clinical Score (mTICCS) presents a new scoring system for the early detection of the need for a massive transfusion (MT). While validated in a large trauma cohort, the comparison of mTICCS to established scoring systems is missing. This study therefore validated the ability of six scoring systems to stratify patients at risk for an MT at an early stage after trauma. A dataset of severely injured patients (ISS ≥ 16) derived from the database of a level I trauma center (2010-2015) was used. Scoring systems assessed were Trauma-Associated Severe Hemorrhage (TASH) score, Prince of Wales Hospital (PWH) score, Larson score, Assessment of Blood Consumption (ABC) score, Emergency Transfusion Score (ETS), and mTICCS. Demographics, diagnostic data, mechanism of injury, injury pattern (graded by AIS), and outcome (length of stay, mortality) were analyzed. Scores were calculated, and the area under the receiver operating characteristic curves (AUCs) were evaluated. From the AUCs, the cut-off point with the best relationship of sensitivity-to-specificity was used to recalculate sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV). A total of 479 patients were included; of those, blunt trauma occurred in 92.3% of patients. The mean age of patients was 49 ± 22 years with a mean ISS of 25 ± 29. The overall MT rate was 8.4% (
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