Deepak Rathod1, B Adhisivam2, B Vishnu Bhat1. 1. Department of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, 605 006, India. 2. Department of Pediatrics, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry, 605 006, India. adhisivam1975@yahoo.co.uk.
Abstract
OBJECTIVE: To evaluate an objective score to assess the condition of sick neonates at arrival and its use in predicting mortality. METHODS: This descriptive study included 303 extramural neonates who were evaluated using a simple clinical score - Sick neonate score (SNS). All neonates were followed up till discharge or expiry. The score and its individual components were correlated with outcome. A receiver operating curve was plotted to determine the cutoff value for SNS in predicting mortality. RESULTS: The common indications for neonatal transport were sepsis (30.7 %), birth asphyxia (17.5 %) and respiratory distress (15.2 %). Sixty neonates (20 %) expired and among them 76 % were hypothermic and 10 % hypoglycemic at admission. The average SNS for all neonates was 10 while it was 6 for those who expired. A cutoff value of SNS ≤ 8 predicted mortality with a sensitivity of 58.3 % and specificity of 52.7 %. CONCLUSIONS: SNS is a useful scoring system to predict outcome of sick neonates in resource restricted settings.
OBJECTIVE: To evaluate an objective score to assess the condition of sick neonates at arrival and its use in predicting mortality. METHODS: This descriptive study included 303 extramural neonates who were evaluated using a simple clinical score - Sick neonate score (SNS). All neonates were followed up till discharge or expiry. The score and its individual components were correlated with outcome. A receiver operating curve was plotted to determine the cutoff value for SNS in predicting mortality. RESULTS: The common indications for neonatal transport were sepsis (30.7 %), birth asphyxia (17.5 %) and respiratory distress (15.2 %). Sixty neonates (20 %) expired and among them 76 % were hypothermic and 10 % hypoglycemic at admission. The average SNS for all neonates was 10 while it was 6 for those who expired. A cutoff value of SNS ≤ 8 predicted mortality with a sensitivity of 58.3 % and specificity of 52.7 %. CONCLUSIONS: SNS is a useful scoring system to predict outcome of sick neonates in resource restricted settings.
Authors: Joy E Lawn; Simon Cousens; Zulfiqar A Bhutta; Gary L Darmstadt; Jose Martines; Vinod Paul; Rudolf Knippenberg; Helga Fogstadt; Priya Shetty; Richard Horton Journal: Lancet Date: 2004 Jul 31-Aug 6 Impact factor: 79.321
Authors: Leigh R Sweet; Cheryl Keech; Nicola P Klein; Helen S Marshall; Beckie N Tagbo; David Quine; Pawandeep Kaur; Ilia Tikhonov; Muhammad Imran Nisar; Sonali Kochhar; Flor M Muñoz Journal: Vaccine Date: 2017-12-04 Impact factor: 3.641