BIRRI, Tanja, Hans-Christoph PAPE, Cyrill DENNLER, Hans-Peter SIMMEN, Jindřich VOMELA, Richard CHALOUPKA and Ladislav MICA. Anatomical Injury Clusters in Polytrauma Patients. Journal of Surgery and Research. Houston, USA: Fortune Journals, 2022, vol. 5, No 4, p. 626-631. ISSN 2637-5079. Available from: https://dx.doi.org/10.26502/jsr.10020270.
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Basic information
Original name Anatomical Injury Clusters in Polytrauma Patients
Authors BIRRI, Tanja, Hans-Christoph PAPE, Cyrill DENNLER, Hans-Peter SIMMEN, Jindřich VOMELA, Richard CHALOUPKA and Ladislav MICA.
Edition Journal of Surgery and Research, Houston, USA, Fortune Journals, 2022, 2637-5079.
Other information
Original language English
Type of outcome Article in a journal
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Faculty of Sports Studies
Doi http://dx.doi.org/10.26502/jsr.10020270
Keywords in English Polytrauma, AIS, ISS, Truncal Trauma, Retrospective Cohort Study
Tags International impact, Reviewed
Changed by Changed by: Kateřina Novotná, učo 106925. Changed: 1/3/2023 08:15.
Abstract
Polytrauma is a major cause of death in young adults. The trial was to identify clusters of interlinked anatomical regions to improve strategical operational planning in the acute situation. A total of 2219 polytrauma patients with an ISS (Injury Severity Score) ≥ 16 and an age ≥ 16 years was included into this retrospective cohort study. Pearson’s correlation was performed amongst the AIS (Abbreviated Injury Scale) groups. The predictive quality was tested by ROC (Receiver Operating Curve) and their area under the curve. Independency was tested by the binary logistic regression , AIS ≥3 was taken as a significant injury. The analysis was conducted using IBM SPSS® 24.0. The highest predictive value was reached in the combination of thorax, abdomen, pelvis and spine injuries (ROC: abdomen for thorax 0.647, thorax for abdomen 0.621, pelvis for thorax 0.608, pelvis for abdomen 0.651, spine for thorax 0.617). The binary logistic regression revealed the anatomical regions thorax, abdomen pelvis and spine as per-mutative independent predictors for each other when a particular injury exceeded the AIS ≥3. The documented clusters of injuries in truncal trauma are crucial to define priorities in the polytrauma management.
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