Literature DB >> 12434896

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

M Eriksson1, L Bodin, O Finnström, J Schollin.   

Abstract

AIM: To test four neonatal severity-of-illness indices (CRIB, NTISS, SNAP, SNAP-PE) for their ability to predict short- and long-term outcome in very low-birthweight infants receiving neonatal intensive care.
METHODS: Data on 240 newborns with birthweights below 1500 g from two Swedish neonatal units were collected. The predictive values of the indices for an adverse outcome in the neonatal period and at 4 y of age were compared with those of gestational age and birthweight.
RESULTS: An early adverse outcome (in-hospital death, severe haemorrhagic-ischaemic brain lesion, retinopathy, chronic lung disease) was better predicted with CRIB (area under ROC curve (Az) = 0.87) and SNAP-PE (Az = 0.86), while SNAP-PE was best for predicting late problems (deviations in growth and psychomotor development, neurosensory impairment, difficulties in concentration, and impairment in vision, and hearing) (Az = 0.63). All indices predicted the early outcome better than the outcome at the 4-y follow-up. Severity-of-illness indices can be used as instruments to follow and improve the level of neonatal intensive care, but unfortunately seem to be of little value in long-term follow-up.
CONCLUSION: CRIB and SNAP-PE indices are better in predicting hospital mortality than birthweight. None of the systems can predict adverse outcome at 4 y of age.

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Year:  2002        PMID: 12434896     DOI: 10.1080/080352502760311601

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   2.299


  11 in total

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

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2.  Children's Hospital of Philadelphia Score to predict severe retinopathy in Indian preterm infants.

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3.  Variation in rates of severe retinopathy of prematurity among neonatal intensive care units in the Australian and New Zealand Neonatal Network.

Authors:  B A Darlow; J L Hutchinson; J M Simpson; D J Henderson-Smart; D A Donoghue; N J Evans
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Review 4.  Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.

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5.  A predictive score for retinopathy of prematurity in very low birth weight preterm infants.

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

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7.  A decade comparison of preterm motor performance at age 4.

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8.  Early Heart Rate Characteristics Predict Death and Morbidities in Preterm Infants.

Authors:  Brynne A Sullivan; Christina McClure; Jamie Hicks; Douglas E Lake; J Randall Moorman; Karen D Fairchild
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9.  Addition of SNAP to perinatal risk factors improves the prediction of bronchopulmonary dysplasia or death in critically ill preterm infants.

Authors:  Yanhong Li; Jie Yan; Mengxia Li; Zhihui Xiao; Xueping Zhu; Jian Pan; Xiaozhong Li; Xing Feng
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Review 10.  A systematic review of neonatal treatment intensity scores and their potential application in low-resource setting hospitals for predicting mortality, morbidity and estimating resource use.

Authors:  Jalemba Aluvaala; Gary S Collins; Michuki Maina; James A Berkley; Mike English
Journal:  Syst Rev       Date:  2017-12-07
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