Literature DB >> 16147834

Evaluating illness severity for very low birth weight infants: CRIB or CRIB-II?

Claudio De Felice1, Antonio Del Vecchio, Giuseppe Latini.   

Abstract

BACKGROUND: Estimating the risk of in-hospital mortality provides essential information in the neonatal intensive care unit (NICU). The clinical risk index for babies (CRIB) is a widely used, risk-adjustment instrument to determine illness severity in infants of gestational age <or=31 wks, or birth weight <or=1,500 g, recently updated and simplified into a five-items scoring system (CRIB-II).Aim. The accuracy values of CRIB and CRIB-II scores in predicting in-hospital mortality were compared in a tertiary level, minimal intubation policy NICU setting.
METHODS: A total of 147 very low birth weight (VLBW) infants were examined. Both CRIB and CRIB-II scores were calculated for each newborn, and death before hospital discharge was selected as the outcome measure. Comparisons were performed by receiver-operating characteristic (ROC) curve analysis, and the area under the curve (AUC) was used as a measure of predictor accuracy.
RESULTS: Mean AUCs for CRIB, CRIB-II, gestational age and birth weight in identifying neonatal mortality in VLBW infants ranged from 0.924 (CRIB) to 0.869 (gestational age). No significant differences were found for the AUCs of CRIB versus CRIB-II, CRIB versus gestational age, CRIB versus birth weight, CRIB-II versus gestational age, or CRIB-II versus birth weight.
CONCLUSIONS: Our findings show that; 1) CRIB and CRIB-II show similar accuracy values in predicting in-hospital neonatal mortality in VLBW infants; and 2) neither score offers an advantage in predicting mortality, as compared to gestational age or birth weight, thus suggesting that treatment modalities may modify predictive accuracy.

Entities:  

Mesh:

Year:  2005        PMID: 16147834     DOI: 10.1080/14767050500072557

Source DB:  PubMed          Journal:  J Matern Fetal Neonatal Med        ISSN: 1476-4954


  8 in total

Review 1.  Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.

Authors:  Jennifer S McLeod; Anitha Menon; Niki Matusko; Gary M Weiner; Samir K Gadepalli; John Barks; George B Mychaliska; Erin E Perrone
Journal:  J Perinatol       Date:  2020-03-18       Impact factor: 2.521

2.  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 3.  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

4.  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
Journal:  J Pediatr       Date:  2016-04-22       Impact factor: 4.406

5.  Utility of Doppler ultrasound in early-onset neonatal sepsis.

Authors:  Chetana R Ratnaparkhi; Madhura V Bayaskar; Avinash P Dhok; Vikrant Bhende
Journal:  Indian J Radiol Imaging       Date:  2020-03-30

6.  Predicting mortality risk for preterm infants using random forest.

Authors:  Jennifer Lee; Jinjin Cai; Fuhai Li; Zachary A Vesoulis
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

7.  Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data.

Authors:  Jiarui Feng; Jennifer Lee; Zachary A Vesoulis; Fuhai Li
Journal:  NPJ Digit Med       Date:  2021-07-14

8.  Total plasma protein in very preterm babies: prognostic value and comparison with illness severity scores.

Authors:  Silvia Iacobelli; Francesco Bonsante; Catherine Quantin; Pierre-Yves Robillard; Christine Binquet; Jean-Bernard Gouyon
Journal:  PLoS One       Date:  2013-04-16       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.