Literature DB >> 12734651

Comparison of the Glasgow Coma Scale and the Reaction Level Scale for assessment of cerebral responsiveness in the critically ill.

Sten M Walther1, Ulla Jonasson2, Hans Gill3.   

Abstract

OBJECTIVE: The Glasgow Coma Scale (GCS) is a well-known source of error in outcome prediction models. We compared assessment of cerebral responsiveness with the GCS and the Reaction Level Scale (RLS) in two otherwise similar outcome prediction models. DESIGN AND
SETTING: Prospective, observational study in a general intensive care unit. PATIENTS AND PARTICIPANTS: All admissions of patients with or at risk of developing impaired brain function between 1997 and 1998 ( n=534). MEASUREMENTS AND
RESULTS: Admissions were scored by RLS and APACHE II (includes scoring with the GCS). The RLS scores were transformed to APACHE II central nervous system scores according to a predetermined protocol. APACHE II estimated probability of death was calculated conventionally with the GCS and the RLS. Vital status 90 days after admission was secured from a national database. Bias and precision was 0.5% and 16.6%, respectively. The area under receiver operating characteristic curves was slightly but significantly greater with the RLS-based APACHE II model than with the GCS-based model (0.92 vs. 0.90). Discrimination was improved primarily in admissions with low and intermediate probability of death.
CONCLUSIONS: Scoring of cerebral responsiveness with the RLS instead of the GCS was associated with minimal bias of the APACHE II probability of death estimate. Assessment of consciousness in critically ill with the RLS deserves further evaluation

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Mesh:

Year:  2003        PMID: 12734651     DOI: 10.1007/s00134-003-1757-4

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  25 in total

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5.  Intraventricular Extension of Supratentorial Intracerebral Hemorrhage: The Modified Graeb Scale Improves Outcome Prediction in Lund Stroke Register.

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6.  Naloxone therapy in opioid overdose patients: intranasal or intravenous? A randomized clinical trial.

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7.  Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions.

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9.  Comparison of the acute physiology and chronic health evaluation score (APACHE) II with GCS in predicting hospital mortality of neurosurgical intensive care unit patients.

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