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Hindi Research Article
Clinicoepidemiological Profile and Predictors of Mortality in LBW Babies:A Hospital Based Observational Study
Ishtiyaq Q*, Aijaz AM and Qazi I
Department of Pediatrics, G.B Panth Childrens Hospital, Srinagar, Jammu and Kashmir, India
- *Corresponding Author:
- Ishtiyaq Q
Department of Pediatrics
G.B Panth Childrens Hospital
Srinagar, Jammu and Kashmir, India
Tel: 917006872230
Fax: +278615107002
E-mail: iqadri80@gmail.com
Received Date: December 09, 2016; Accepted Date: December 19, 2016; Published Date: December 26, 2016
Citation: Ishtiyaq Q, Aijaz AM, Qazi I (2016) Clinicoepidemiological Profile and Predictors of Mortality in LBW Babies: A Hospital Based Observational Study. Neonat Pediatr Med 2: 119. doi: 10.4172/2572-4983.1000119
Copyright: © 2016 Ishtiyaq Q, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Introduction: Low birth weight has a significant impact on the survival of a newborn. Low birth weight babies are at risk for a number of serious clinical problems and as such contribute to overall neonatal mortality and morbidity. Aims: The aim was to study the clinicoepidemiological profile and predictors of mortality in low birth weight babies in resource limited settings. Materials and methods: This was a prospective observational study conducted from July 2013 to May 2015. The study group included neonates admitted in NICU having birth weight less than 2500 gms. Newborns with congenital or chromosomal anomalies were excluded from the study. Data was collected regarding various epidemiological and clinical parameters and entered as per a preset proforma. Results and inference: Total of 100 eligible LBW newborns were studied. Incidence of LBW admission was found to be 17.3%. There were 26 deaths among LBW neonates. Birth weight, gestational age, mechanical ventilation, shock on admission, NEC, sepsis, and CRIB score were found to have a statistically significant association with mortality.
