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Original article

Vol. 144 No. 0708 (2014)

First results from a Swiss level I trauma centre participating in the UK Trauma Audit and Research Network (TARN): prospective cohort study

  • Rebecca Maria Hasler
  • David Srivastava
  • Emin Aghayev
  • Marius Johann Keel
  • Aristomenis Konstantinos Exadaktylos
  • Beat Schnüriger
DOI
https://doi.org/10.4414/smw.2014.13910
Cite this as:
Swiss Med Wkly. 2014;144:w13910
Published
09.02.2014

Summary

QUESTIONS UNDER STUDY: Patient characteristics and risk factors for death of Swiss trauma patients in the Trauma Audit and Research Network (TARN).

METHODS: Descriptive analysis of trauma patients (≥16 years) admitted to a level I trauma centre in Switzerland (September 1, 2009 to August 31, 2010) and entered into TARN. Multivariable logistic regression analysis was used to identify predictors of 30-day mortality.

RESULTS: Of 458 patients 71% were male. The median age was 50.5 years (inter-quartile range [IQR] 32.2–67.7), median Injury Severity Score (ISS) was 14 (IQR 9–20) and median Glasgow Coma Score (GCS) was 15 (IQR 14–15). The ISS was >15 for 47%, and 14% had an ISS >25. A total of 17 patients (3.7%) died within 30 days of trauma. All deaths were in patients with ISS >15. Most injuries were due to falls <2 m (35%) or road traffic accidents (29%). Injuries to the head (39%) were followed by injuries to the lower limbs (33%), spine (28%) and chest (27%). The time of admission peaked between 12:00 and 22:00, with a second peak between 00:00 and 02:00. A total of 64% of patients were admitted directly to our trauma centre. The median time to CT was 30 min (IQR 18–54 min). Using multivariable regression analysis, the predictors of mortality were older age, higher ISS and lower GCS.

CONCLUSIONS: Characteristics of Swiss trauma patients derived from TARN were described for the first time, providing a detailed overview of the institutional trauma population. Based on these results, patient management and hospital resources (e.g. triage of patients, time to CT, staffing during night shifts) could be evaluated as a further step.

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