Prediction of outcome within the first four hours after birth of a term infant with post-asphyxial hypoxic ischemic encephalopathy.
Published: 2005
Language: eng
Number of pages: 140
Description: Prediction of long-term neurodevelopmental outcome following post-asphyxial hypoxic ischemic encephalopathy can assist in the selection of patients for neuroprotective therapy trials and counseling families. A logistic regression model was developed from available clinical and biochemical data within the first 4 hours after birth. Of 375 patients, 345 had follow-up data. Six statistically significant independent predictors for "severe adverse outcome" were identified: administration of chest compression for >1 minute, administration of epinephrine, age of first respiration &ge;30 minutes, presence of seizures/coma before 4 hours of age, standardized base deficit at the age of sampling, and birth following cesarean section. The prediction success rate of the model was 73.2%. For "severe adverse outcome" the sensitivity, specificity, positive predictive value, and negative predictive value were 89%, 41%, 76% and 63% respectively. Model diagnostics, residual analysis and internal validation revealed that the model was robust. Further research involves an external validation of this model.
Notes: Source: Masters Abstracts International, Volume: 44-01, page: 0308.

Thesis (M.Sc.)--University of Toronto, 2005.

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