Literature DB >> 19858146

Interinstitutional variation in prediction of death by SNAP-II and SNAPPE-II among extremely preterm infants.

Olaf Dammann1, Bhavesh Shah, Mary Naples, Francis Bednarek, John Zupancic, Elizabeth N Allred, Alan Leviton.   

Abstract

BACKGROUND: Illness severity scores predict death among infants admitted to NICUs. We know of no study limited to a population defined by an extremely low gestational age.
METHODS: A total of 1467 infants born before the 28th postmenstrual week at 14 institutions were given Score for Neonatal Acute Physiology II (SNAP-II) and Score for Neonatal Acute Physiology Perinatal Extension II (SNAPPE-II) values based on data collected within the first 12 postnatal hours. All deaths in the intensive care nursery were identified.
RESULTS: The rate of death before postnatal day 28 was 13% (interinstitutional range: 7%-20%), whereas the overall mortality rate was 18% (8%-31%). SNAP-II values, SNAPPE-II values, and mortality rates tended to decrease with increasing gestational age. Even within gestational age strata, however, the risk of death decreased with decreasing SNAP-II and SNAPPE-II values. The positive predictive values of most SNAP-II and SNAPPE-II cutoff levels were close to 30%. In general, institutions' mortality rates increased with the proportions of infants whose SNAP-II values were >/=30.
CONCLUSION: The physiologic instability in the first 12 postnatal hours that is identified by illness severity scores conveys information about the risk of death among infants at the lowest gestational ages.

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Mesh:

Year:  2009        PMID: 19858146      PMCID: PMC2804970          DOI: 10.1542/peds.2008-3233

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  12 in total

1.  SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores.

Authors:  D K Richardson; J D Corcoran; G J Escobar; S K Lee
Journal:  J Pediatr       Date:  2001-01       Impact factor: 4.406

2.  Assessing mortality risk in very low birthweight infants: a comparison of CRIB, CRIB-II, and SNAPPE-II.

Authors:  L Gagliardi; A Cavazza; A Brunelli; M Battaglioli; D Merazzi; F Tandoi; D Cella; G F Perotti; M Pelti; I Stucchi; F Frisone; A Avanzini; R Bellù
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2004-09       Impact factor: 5.747

Review 3.  The wealth of information conveyed by gestational age.

Authors:  Alan Leviton; Eve Blair; Olaf Dammann; Elizabeth Allred
Journal:  J Pediatr       Date:  2005-01       Impact factor: 4.406

4.  Revalidation of the Score for Neonatal Acute Physiology in the Vermont Oxford Network.

Authors:  John A F Zupancic; Douglas K Richardson; Jeffrey D Horbar; Joseph H Carpenter; Shoo K Lee; Gabriel J Escobar
Journal:  Pediatrics       Date:  2006-12-11       Impact factor: 7.124

Review 5.  Fetal growth restriction and postnatal development.

Authors:  Makarios Eleftheriades; George Creatsas; Kypros Nicolaides
Journal:  Ann N Y Acad Sci       Date:  2006-12       Impact factor: 5.691

6.  Very low birth weight: a problematic cohort for epidemiologic studies of very small or immature neonates.

Authors:  C C Arnold; M S Kramer; C A Hobbs; F H McLean; R H Usher
Journal:  Am J Epidemiol       Date:  1991-09-15       Impact factor: 4.897

7.  Birth weight and illness severity: independent predictors of neonatal mortality.

Authors:  D K Richardson; C S Phibbs; J E Gray; M C McCormick; K Workman-Daniels; D A Goldmann
Journal:  Pediatrics       Date:  1993-05       Impact factor: 7.124

8.  CRIB and SNAP: assessing the risk of death for preterm neonates.

Authors:  J Rautonen; A Mäkelä; H Boyd; M Apajasalo; M Pohjavuori
Journal:  Lancet       Date:  1994-05-21       Impact factor: 79.321

9.  A comparison of neonatal mortality risk prediction models in very low birth weight infants.

Authors:  M M Pollack; M A Koch; D A Bartel; I Rapoport; R Dhanireddy; A A El-Mohandes; K Harkavy; K N Subramanian
Journal:  Pediatrics       Date:  2000-05       Impact factor: 7.124

10.  Understanding diagnostic tests 1: sensitivity, specificity and predictive values.

Authors:  Anthony K Akobeng
Journal:  Acta Paediatr       Date:  2007-03       Impact factor: 2.299

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  13 in total

1.  SNAPPE-II (Score for Neonatal Acute Physiology with Perinatal Extension-II) in Predicting Mortality and Morbidity in NICU.

Authors:  Shivanna Sree Harsha; Banur Raju Archana
Journal:  J Clin Diagn Res       Date:  2015-10-01

2.  The prediction and cost of futility in the NICU.

Authors:  William Meadow; Sally Cohen-Cutler; Bridget Spelke; Anna Kim; Melissa Plesac; Kirsten Weis; Joanne Lagatta
Journal:  Acta Paediatr       Date:  2012-01-10       Impact factor: 2.299

3.  Lenticulostriate vasculopathy in extremely low gestational age newborns: Inter-rater variability of cranial ultrasound readings, antecedents and postnatal characteristics.

Authors:  Julide Sisman; J Wells Logan; Sjirk J Westra; Elizabeth N Allred; Alan Leviton
Journal:  J Pediatr Neurol       Date:  2014

4.  Patch repair is an independent predictor of morbidity and mortality in congenital diaphragmatic hernia.

Authors:  M E Brindle; M Brar; E D Skarsgard
Journal:  Pediatr Surg Int       Date:  2011-05-18       Impact factor: 1.827

5.  Presumed and definite bacteremia in extremely low gestational age newborns.

Authors:  Sonal Patel; Olaf Dammann; Camilia R Martin; Elizabeth N Allred; Alan Leviton
Journal:  Acta Paediatr       Date:  2010-08-16       Impact factor: 2.299

6.  Newborn blood gas derangements of children born extremely preterm and neurocognitive dysfunctions at age 10 years.

Authors:  Alan Leviton; Elizabeth N Allred; Robert M Joseph; T Michael O'Shea; Karl C K Kuban
Journal:  Respir Physiol Neurobiol       Date:  2017-04-07       Impact factor: 1.931

7.  Admission hypothermia, neonatal morbidity, and mortality: evaluation of a multicenter cohort of very low birth weight preterm infants according to relative performance of the center.

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Journal:  Eur J Pediatr       Date:  2019-05-06       Impact factor: 3.183

Review 8.  A Systematic Review: The Utility of the Revised Version of the Score for Neonatal Acute Physiology Among Critically Ill Neonates.

Authors:  Shannon Morse; Maureen Groer; Melissa M Shelton; Denise Maguire; Terri Ashmeade
Journal:  J Perinat Neonatal Nurs       Date:  2015 Oct-Dec       Impact factor: 1.638

9.  Early postnatal illness severity scores predict neurodevelopmental impairments at 10 years of age in children born extremely preterm.

Authors:  J W Logan; O Dammann; E N Allred; C Dammann; K Beam; R M Joseph; T M O'Shea; A Leviton; K C K Kuban
Journal:  J Perinatol       Date:  2017-01-12       Impact factor: 2.521

10.  Neonatal mortality risk assessment using SNAPPE- II score in a neonatal intensive care unit.

Authors:  Dipak Muktan; Rupa R Singh; Nisha K Bhatta; Dheeraj Shah
Journal:  BMC Pediatr       Date:  2019-08-13       Impact factor: 2.125

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