Prehospital identification of trauma patients with early acute coagulopathy and massive bleeding: results of a prospective non-interventional clinical trial evaluating the Trauma Induced Coagulopathy Clinical Score (TICCS).

TONGLET, Martin; Minon, Jean-Marc; SEIDEL, Laurence; Poplavsky, Jean Louis; Vergnion, Michel

doi:10.1186/s13054-014-0648-0

Article (Scientific journals)

Prehospital identification of trauma patients with early acute coagulopathy and massive bleeding: results of a prospective non-interventional clinical trial evaluating the Trauma Induced Coagulopathy Clinical Score (TICCS).

TONGLET, Martin; Minon, Jean-Marc; SEIDEL, Laurence et al.

2014 • In Critical Care

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/202166

DOI
10.1186/s13054-014-0648-0

PubMed
25425230

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Keywords :

trauma; coagulopathy; transfusion

Abstract :

[en] Introduction: Identifying patients who need damage control resuscitation (DCR) early after trauma is pivotal for adequate management of their critical condition. Several trauma-scoring systems have been developed to identify such patients, but most of them are not simple enough to be used in prehospital settings in the early post-traumatic phase. The Trauma Induced Coagulopathy Clinical Score (TICCS) is an easy-to-measure and strictly clinical trauma score developed to meet this medical need. Methods: TICCS is a 3-item clinical score (range: 0 to 18) based on the assessment of general severity, blood pressure and extent of body injury and calculated by paramedics on-site for patients with severe trauma. This non-interventional prospective study was designed to assess the ability of TICCS to discern patients who need DCR. These patients were patients with early acute coagulopathy of trauma (EACT), haemorrhagic shock, massive transfusion and surgical or endovascular haemostasis during hospitalization. Diagnosis of EACT was assessed by both thromboelastometry and conventional coagulation tests. Results: During an 18-month period, 89 severe trauma patients admitted to the general emergency unit at our hospital were enrolled in the study, but 7 were excluded for protocol violations. Of the 82 remaining patients, 8 needed DCR and 74 did not. With receiver operating characteristic curve analysis, TICCS proved to be a powerful discriminant test (area under the curve = 0.98; 95% CI: 0.92 to 1.0). A cutoff of 10 on the TICCS scale provided the best balance between sensitivity (100%; 95% CI: 53.9 to 100) and specificity (95.9%; 95% CI: 88.2 to 99.2). The positive predictive value was 72.7%, and the negative predictive value was 100.0%. Conclusion: TICCS can be easily and rapidly measured by paramedics at the trauma site. In this study of blunt trauma patients, TICCS was able to discriminate between patients with and without need for DCR. TICCS on-site evaluation should allow initiation of optimal care immediately upon hospital admission of patients with severe trauma in need of DCR. However, a larger multicentre prospective study is needed for in-depth validation of TICCS.

Disciplines :

Human health sciences: Multidisciplinary, general & others

Author, co-author :

TONGLET, Martin ; Centre Hospitalier Universitaire de Liège - CHU > Urgences

Minon, Jean-Marc

SEIDEL, Laurence ; Centre Hospitalier Universitaire de Liège - CHU > Service d'Informations médico économiques (SIME)

Poplavsky, Jean Louis

Vergnion, Michel

Language :

English

Title :

Publication date :

26 November 2014

Journal title :

Critical Care

ISSN :

1364-8535

eISSN :

1466-609X

Publisher :

BioMed Central, London, United Kingdom

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 30 September 2016

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