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Non-traumatic coma in childhood: clinical variables in prediction of outcome
Insights
Predicting pediatric non-traumatic coma outcomes is possible using early clinical variables. Stepwise discriminant analysis helps classify outcomes, aiding in early intervention for children with coma.
Area of Science:
- Pediatric Neurology
- Clinical Neurophysiology
- Biostatistics
Background:
- Non-traumatic coma in children presents a significant diagnostic challenge.
- Accurate outcome prediction is crucial for timely and appropriate medical intervention.
- Early identification of prognostic indicators can guide clinical management strategies.
Purpose of the Study:
- To develop a predictive model for outcome in children with non-traumatic coma.
- To identify key clinical variables that predict coma outcome.
- To evaluate the utility of stepwise discriminant analysis in this context.
Main Methods:
- Retrospective analysis of 104 children with non-traumatic coma.
- Application of stepwise discriminant analysis to clinical variables.
- Classification of outcomes based on data from admission and 24 hours post-coma onset.
Main Results:
- At admission, 7 clinical variables correctly classified 75% of cases (102 children).
- 24 hours post-coma onset, 5 variables correctly classified 67% of cases (66 children).
- Key predictors included coma severity, neurological signs, and seizure type.
Conclusions:
- Early clinical assessment in pediatric non-traumatic coma provides valuable predictive information.
- Stepwise discriminant analysis is a viable method for predicting coma outcomes.
- Prognostic models can aid in individualized patient management and care planning.
Abstract:
One hundred and four children suffering from non-traumatic coma were referred to the Pediatric Neurology Service, Children's Hospital, Winnipeg, between February 1976 and December 1978. Stepwise discriminant analysis was used to obtain a classification function of outcome, based on clinical variables determined at two separate time-periods of examination: (1) the time of admission and (2) about 24 hours after onset of coma. 12 clinical variables were included in the stepwise procedure. Seven of these: coma severity, extra-ocular movements, pupils, motor patterns, blood pressure, temperature and seizure type, entered the classification function for the first time-period, data being available for 102 children. 75 per cent of these cases were correctly classified into one of five outcome groups and 8 per cent were seriously misclassified. Similarly, 67 per cent of the 66 children evaluated in the second time-period were correctly classified and 3 per cent seriously misclassified. The variables that entered the classification function in this second time-period were age, coma severity, motor patterns, blood pressure and seizure type. The data suggest that the analysis of clinical variables recorded early in the comatose state can provide predictive information, and stepwise discriminant analysis may be one method of determining the most likely outcome for individual cases.