gms | German Medical Science

60th Annual Meeting of the German Society of Neurosurgery (DGNC)
Joint Meeting with the Benelux countries and Bulgaria

German Society of Neurosurgery (DGNC)

24 - 27 May 2009, Münster

Neurological monitoring in multiple injuries – results of a multicenter study

Meeting Abstract

  • B. Völlger - Klinik für Neurochirurgie, Otto-von-Guericke-Universität, Magdeburg
  • Z. Barelkowska - Klinik für Neurochirurgie, Otto-von-Guericke-Universität, Magdeburg
  • D.H. Woischneck - Klinik für Neurochirurgie der Universität Ulm
  • R. Firsching - Klinik für Neurochirurgie, Otto-von-Guericke-Universität, Magdeburg

Deutsche Gesellschaft für Neurochirurgie. 60. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit den Benelux-Ländern und Bulgarien. Münster, 24.-27.05.2009. Düsseldorf: German Medical Science GMS Publishing House; 2009. DocMO.02-03

doi: 10.3205/09dgnc003, urn:nbn:de:0183-09dgnc0038

Published: May 20, 2009

© 2009 Völlger et al.
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Outline

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Objective: The predictive value of the Glasgow Coma Score (GCS) has been questioned recently. This study aims to explore the value of GCS and other neurological parameters in predicting survival of patients with multiple injuries.

Methods: 1000 comatose patients with suspected multiple injuries were analysed. GCS, pupillary function, hemiparesis, and posturing were recorded 12, 24, and 48 hours after admission. Outcome was assessed with Glasgow Outcome Score (GOS) 6 months after injury. Statistical tests included Shapiro Wilk, Wilcoxon and Chi square. P<0.05 was supposed to be statistically significant.

Results: There was no significant correlation of the GCS at 12, 24 or 48 hours after admission with 6 month mortality. A significant correlation with 6 month mortality was detected for pupillary function, hemiparesis and posturing.

Conclusions: As the GCS is not clearly related with survival, it is not an adequate score for clinical monitoring. The clinical monitoring of pupillary function, hemiparesis and posturing proved to be of high predictive value.