Sushil Gupta1, B Adhisivam2, B Vishnu Bhat3, Nishad Plakkal1, R Amala4. 1. Department of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, 605006, India. 2. Department of Neonatology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, 605006, India. adhisivam1975@yahoo.co.uk. 3. Professor of Pediatrics and Neonatology, AVMC, Pondicherry, India. 4. Department of Biostatistics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.
Abstract
OBJECTIVE: To assess the short term outcome and predictors of mortality among very low birth weight (VLBW) neonates. METHODS: This descriptive study from a tertiary care teaching institute in south India included 239 VLBW neonates who were uniformly managed as per unit's protocol and followed up till discharge or death, whichever was earlier. Univariate analysis and logistic regression analysis were done to determine the predictors of mortality. Two logistic regression models were developed and to evaluate their discriminative performance, area under the receiver operating characteristic curves were calculated. RESULTS: Mean gestational age and mean birth weight of neonates were 31.4 ± 3 wk and 1191 ± 245 g respectively. Among the 239 infants, 49 (20.5%) expired and 190 (70.5%) survived. Mortality among extremely low birth weight (ELBW) and extreme preterm infants were 69.3% and 73.3% respectively. Univariate analysis showed multiple perinatal factors and neonatal morbidities were associated with mortality. On adjusted multivariate logistic regression, birth weight < 1000 g (OR 9.27), severe grade of intraventricular hemorrhage (IVH) (OR 29.2), hyperglycemia (OR 7.8) and respiratory distress syndrome (RDS) requiring surfactant therapy (OR 6.2) were the significant predictors of mortality. Both logistic regression models developed showed good prediction of mortality. CONCLUSIONS: VLBW mortality rate is 20% in the population studied. Birth weight < 1000 g, severe grade of IVH, hyperglycemia, and RDS requiring surfactant therapy were the significant predictors of mortality among VLBW neonates. Both prediction models developed showed good prediction of mortality.
OBJECTIVE: To assess the short term outcome and predictors of mortality among very low birth weight (VLBW) neonates. METHODS: This descriptive study from a tertiary care teaching institute in south India included 239 VLBW neonates who were uniformly managed as per unit's protocol and followed up till discharge or death, whichever was earlier. Univariate analysis and logistic regression analysis were done to determine the predictors of mortality. Two logistic regression models were developed and to evaluate their discriminative performance, area under the receiver operating characteristic curves were calculated. RESULTS: Mean gestational age and mean birth weight of neonates were 31.4 ± 3 wk and 1191 ± 245 g respectively. Among the 239 infants, 49 (20.5%) expired and 190 (70.5%) survived. Mortality among extremely low birth weight (ELBW) and extreme preterm infants were 69.3% and 73.3% respectively. Univariate analysis showed multiple perinatal factors and neonatal morbidities were associated with mortality. On adjusted multivariate logistic regression, birth weight < 1000 g (OR 9.27), severe grade of intraventricular hemorrhage (IVH) (OR 29.2), hyperglycemia (OR 7.8) and respiratory distress syndrome (RDS) requiring surfactant therapy (OR 6.2) were the significant predictors of mortality. Both logistic regression models developed showed good prediction of mortality. CONCLUSIONS: VLBW mortality rate is 20% in the population studied. Birth weight < 1000 g, severe grade of IVH, hyperglycemia, and RDS requiring surfactant therapy were the significant predictors of mortality among VLBW neonates. Both prediction models developed showed good prediction of mortality.
Entities:
Keywords:
Mortality; Neonates; Predictors; Preterm; Very low birth weight (VLBW)