Early outcome prediction in severe head injury: comparison between children and adults

1986 ◽  
Vol 2 (2) ◽  
Author(s):  
E. Facco ◽  
M. Zuccarello ◽  
G. Pittoni ◽  
L. Zanardi ◽  
M. Chiaranda ◽  
...  
Keyword(s):  
Head Injury ◽  
Severe Head Injury ◽  
Outcome Prediction ◽  
Early Outcome

IMPROVED CONFIDENCE OF OUTCOME PREDICTION IN SEVERE HEAD INJURY

1981 ◽  
Vol 5 (6) ◽  
pp. 947
Author(s):  
R. K. Narayan ◽  
R. P. Greenberg ◽  
J. D. Miller ◽  
G. G. Enas ◽  
S. C. Choi ◽  
...  
Keyword(s):  
Head Injury ◽  
Severe Head Injury ◽  
Outcome Prediction

Improved outcome prediction based on CSF extrapolated creatine kinase BB isoenzyme activity and other risk factors in severe head injury

1989 ◽  
Vol 71 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Pol Hans ◽  
Adelin Albert ◽  
Colette Franssen ◽  
Jacques Born
Keyword(s):  
Risk Factors ◽  
Creatine Kinase ◽  
Head Injury ◽  
Severe Head Injury ◽  
Outcome Prediction ◽  
Vegetative State ◽  
Persistent Vegetative State ◽  
Significant Risk ◽  
Thoracic Injury ◽  
Creatine Kinase Bb

✓ The present study of 43 patients with severe head injury shows that outcome prediction can be markedly improved by combining an appropriate marker of the degree of initial brain damage and other risk factors. The patients were classified into three groups according to their actual outcome after 6 months: death (22 patients); persistent vegetative state or severe disability (eight patients); and moderate disability or good recovery (13 patients). By applying stepwise logistic discriminant analysis to the patients' data, five significant risk factors were selected: degree of neurological damage assessed by cerebrospinal fluid (CSF) extrapolated creatine kinase BB isoenzyme activity, Glasgow-Liege Coma Scale score, age, incidence of thoracic injury, and intracranial pressure (ICP). Extrapolated creatine kinase BB activity had the highest prognostic ability (67%). Uncontrollable elevated ICP proved to be systematically associated with death, whereas its absence was not necessarily indicative of a favorable outcome. The combination of the five variables yielded a total prognostic efficiency of 91%. The percentages of correctly predicted patients for the three outcome groups were, respectively, 100%, 50%, and 100%. Thus, half of the persistently vegetative and severely disabled patients were identified by the selected factors.

Outcome prediction in severe head injury: analyses of clinical prognostic factors

2001 ◽  
Vol 8 (2) ◽  
pp. 120-123 ◽  
Author(s):  
Jun-ichi Ono ◽  
Akira Yamaura ◽  
Motoo Kubota ◽  
Yoshitaka Okimura ◽  
Katsumi Isobe
Keyword(s):  
Prognostic Factors ◽  
Head Injury ◽  
Severe Head Injury ◽  
Outcome Prediction

Chart for outcome prediction in severe head injury

1983 ◽  
Vol 59 (2) ◽  
pp. 294-297 ◽  
Author(s):  
Sung C. Choi ◽  
John D. Ward ◽  
Donald P. Becker
Keyword(s):  
Head Injury ◽  
Severe Head Injury ◽  
Outcome Prediction ◽  
Demographic Data ◽  
Verbal Response ◽  
Reliable Prediction ◽  
Content Type ◽  
Good Outcome ◽  
Gcs Score ◽  
Response Score

✓ An analysis of clinical and demographic data of 264 patients with severe head injury showed that a combination of the Glasgow Coma Scale (GCS) score, oculocephalic responses, and age can provide a simple but reliable prediction of outcome in severe head injury. Addition of other clinical data, excluding intracranial pressure and evoked potentials, improved the predictability only negligibly. A simple chart, which is constructed from the application of the logistic regression model, can be used to determine the odds of a good outcome from the combination of the three factors. A method is given by which the GCS score of a patient with a missing verbal response score can be accurately approximated in order to complete the chart. Among other values, the odds of a good outcome provide the clinician with a reliable measure of the relative severity of a patient's injury. The accuracy of the chart in prediction is expected to be 80% or above.

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