Literature DB >> 15321961

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

L Gagliardi1, 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.   

Abstract

BACKGROUND: Illness severity scores are increasingly used for risk adjustment in clinical research and quality assessment. Recently, a simplified version of the score for neonatal acute physiology (SNAPPE-II) and a revised clinical risk index for babies (CRIB-II) score have been published. AIM: To compare the discriminatory ability and goodness of fit of CRIB, CRIB-II, and SNAPPE-II in a cohort of neonates < 1500 g birth weight (VLBWI).
METHODS: Data from 720 VLBWI, admitted to 12 neonatal units in Lombardy (Northern Italy) participating in a regional network, were analysed. The discriminatory ability of the scores was assessed measuring the area under the receiver operating characteristic curve (AUC). Outcome measure was in-hospital death.
RESULTS: CRIB and CRIB-II showed greater discrimination than SNAPPE-II (AUC 0.90 and 0.91 v 0.84, p < 0.0004), partly because of the poor quality of some of the data required for the SNAPPE-II calculation-for example, urine output-but also because of the relative weight given to some items. In addition to each score, several variables significantly influenced survival in logistic regression models. Antenatal steroid prophylaxis, singleton birth, absence of congenital anomalies, and gestational age were independent predictors of survival for all scores, in addition to caesarean section and not being small for gestation (for SNAPPE-II) and a five minute Apgar score of > or = 7 (for SNAPPE-II and CRIB).
CONCLUSIONS: CRIB and CRIB-II had greater discriminatory ability than SNAPPE-II. Risk adjustment using all scores is imperfect, and other perinatal factors significantly influence VLBWI survival. CRIB-II seems to be less confounded by these factors.

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Year:  2004        PMID: 15321961      PMCID: PMC1721752          DOI: 10.1136/adc.2003.031286

Source DB:  PubMed          Journal:  Arch Dis Child Fetal Neonatal Ed        ISSN: 1359-2998            Impact factor:   5.747


  19 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.  Can severity-of-illness indices for neonatal intensive care predict outcome at 4 years of age?

Authors:  M Eriksson; L Bodin; O Finnström; J Schollin
Journal:  Acta Paediatr       Date:  2002       Impact factor: 2.299

3.  Reliability of the SNAP (score of neonatal acute physiology) data collection in mechanically ventilated term babies in New South Wales, Australia.

Authors:  L Sutton; B Bajuk; G Berry; G P Sayer; B L Eagles; D J Henderson-Smart
Journal:  Acta Paediatr       Date:  2002       Impact factor: 2.299

4.  Bench marking and performance management in neonatal care: easier said than done!

Authors:  D Field; B Manktelow; E S Draper
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2002-11       Impact factor: 5.747

5.  CRIB II: an update of the clinical risk index for babies score.

Authors:  Gareth Parry; Janet Tucker; William Tarnow-Mordi
Journal:  Lancet       Date:  2003-05-24       Impact factor: 79.321

6.  Neonatal intensive care unit report cards.

Authors:  M Perlman
Journal:  Pediatrics       Date:  1998-10       Impact factor: 7.124

7.  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

8.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

9.  Measurement properties of the Clinical Risk Index for Babies--reliabilty, validity beyond the first 12 hours, and responsiveness over 7 days.

Authors:  P W Fowlie; C R Gould; W O Tarnow-Mordi; D Strang
Journal:  Crit Care Med       Date:  1998-01       Impact factor: 7.598

10.  Effect of changes in inspired oxygen tension on indexes of oxygenation in ventilated neonates.

Authors:  Luigi Gagliardi; Mario Barbarini; Lorenza Pugni; Fabio Mosca
Journal:  Pediatr Crit Care Med       Date:  2002-01       Impact factor: 3.624

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  23 in total

1.  Clinical Risk Index for Babies (CRIB II) Scoring System in Prediction of Mortality in Premature Babies.

Authors:  Zahraa Mohamed Ezz-Eldin; Tamer A Abdel Hamid; Meray Rene Labib Youssef; Hossam El-Din Nabil
Journal:  J Clin Diagn Res       Date:  2015-06-01

2.  Detrended fluctuation analysis of blood pressure in preterm infants with intraventricular hemorrhage.

Authors:  Ying Zhang; Gregory S H Chan; Mark B Tracy; Murray Hinder; Andrey V Savkin; Nigel H Lovell
Journal:  Med Biol Eng Comput       Date:  2013-05-29       Impact factor: 2.602

3.  Neonatal outcome of extremely preterm Asian infants ⩽28 weeks over a decade in the new millennium.

Authors:  P Agarwal; B Sriram; V S Rajadurai
Journal:  J Perinatol       Date:  2015-02-05       Impact factor: 2.521

4.  Impact of neonatal intensive care bed configuration on rates of late-onset bacterial sepsis and methicillin-resistant Staphylococcus aureus colonization.

Authors:  Samuel Julian; Carey-Ann D Burnham; Patricia Sellenriek; William D Shannon; Aaron Hamvas; Phillip I Tarr; Barbara B Warner
Journal:  Infect Control Hosp Epidemiol       Date:  2015-06-25       Impact factor: 3.254

5.  Neurodevelopmental outcomes of extremely low birth weight infants ventilated with continuous positive airway pressure vs. mechanical ventilation.

Authors:  Cameron W Thomas; Jareen Meinzen-Derr; Steven B Hoath; Vivek Narendran
Journal:  Indian J Pediatr       Date:  2011-08-19       Impact factor: 1.967

Review 6.  Use of risk stratification indices to predict mortality in critically ill children.

Authors:  Maria Grazia Sacco Casamassima; Jose H Salazar; Dominic Papandria; James Fackler; Kristin Chrouser; Emily F Boss; Fizan Abdullah
Journal:  Eur J Pediatr       Date:  2013-03-23       Impact factor: 3.183

7.  Cumulative perinatal steroids: child development of preterm infants.

Authors:  Isabell B Purdy; Dorothy J Wiley; Lynne M Smith; Carollee Howes; Anna Gawlinski; Wendy Robbins; Lina K Badr
Journal:  J Pediatr Nurs       Date:  2008-06       Impact factor: 2.145

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

Authors:  Olaf Dammann; Bhavesh Shah; Mary Naples; Francis Bednarek; John Zupancic; Elizabeth N Allred; Alan Leviton
Journal:  Pediatrics       Date:  2009-10-26       Impact factor: 7.124

9.  Prediction of pediatric death in the year after hospitalization: a population-level retrospective cohort study.

Authors:  Chris Feudtner; Kari R Hexem; Mayadah Shabbout; James A Feinstein; Julie Sochalski; Jeffery H Silber
Journal:  J Palliat Med       Date:  2009-02       Impact factor: 2.947

10.  The Use of N-Terminal-Pro-BNP in Preterm Infants.

Authors:  Afif El-Khuffash; Eleanor Molloy
Journal:  Int J Pediatr       Date:  2009-12-30
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