Mortality determinants and prediction of outcome in high risk newborns.

Abstract

The aim of this study was to determine independent patient-related predictors of mortality in high risk newborns admitted at our centre. The study population comprised 100 consecutive newborns each, from the premature unit (PU) and sick baby care unit (SBCU), respectively. Thirteen high risk factors (variables) for each of the two units, were entered into a multivariate regression analysis. Variables with independent predictive value for poor outcome (i.e., death) in PU were, weight less than 1 kg, hyaline membrane disease, neurologic problems, and intravenous therapy. High risk factors in SBCU included, blood gas abnormality, bleeding phenomena, recurrent convulsions, apnea, and congenital anomalies. Identification of these factors guided us in defining priority areas for improvement in our system of neonatal care. Also, based on these variables a simple predictive score for outcome was constructed. The prediction equation and the score were cross-validated by applying them to a 'test-set' of 100 newborns each for PU and SBCU. Results showed a comparable sensitivity, specificity and error rate.

• Authors: R Dalvi, B V Dalvi, N Birewar, G Chari, A R Fernandez
• Journal: Indian pediatrics (Indian Pediatr) Vol. 27 Issue 6 Pg. 571-5 (Jun 1990) ISSN: 0019-6061 [Print] India
• PMID: 2253992 (Publication Type: Journal Article)

Topics

• Forecasting
• Humans
• India (epidemiology)
• Infant Mortality
• Infant, Low Birth Weight
• Infant, Newborn
• Infant, Newborn, Diseases (mortality)
• Infant, Premature
• Probability
• Prospective Studies
• Retrospective Studies
• Risk Factors
• Sensitivity and Specificity