Literature DB >> 12503659

The clinical risk index of babies (CRIB) score in India.

Rajesh Khanna1, Vikas Taneja, Saroj K Singh, Nirmal Kumar, V Sreenivas, Jacob M Puliyel.   

Abstract

OBJECTIVE: To assess the usefulness of clinical risk index of babies (CRIB score) in predicting neonatal mortality in extremely preterm neonates, compared to birth weight and gestation.
METHODS: 97 preterm neonates with gestational age less than 31 weeks or birth weight less than or equal to 1500 g were enrolled for the prospective longitudinal study. Relevant neonatal data was recorded. Blood gas analysis results and the maximum and the minimum FiO2 required by babies in first 12 hours of life were noted. Mortality was taken as death while the baby was in nursery. The prediction of mortality by birth weight, gestational age and CRIB score was done using the Logistic model, and expressed as area under the ROC curve.
RESULTS: The area under the ROC curve for birth weight, gestational age and CRIB score was almost the same, the areas being 0.829, 0.819 and 0.823 respectively. Hence CRIB score did not fare better than birth weight and gestational age in predicting neonatal mortality.
CONCLUSION: The CRIB score did not improve on the ability of birth weight and gestational age to predict neonatal mortality in the study.

Entities:  

Mesh:

Year:  2002        PMID: 12503659     DOI: 10.1007/bf02726013

Source DB:  PubMed          Journal:  Indian J Pediatr        ISSN: 0019-5456            Impact factor:   1.967


  12 in total

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4.  The CRIB (clinical risk index for babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units. The International Neonatal Network.

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Journal:  Lancet       Date:  1993-07-24       Impact factor: 79.321

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

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Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

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Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

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9.  The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults.

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Journal:  Chest       Date:  1991-12       Impact factor: 9.410

10.  Newborn intensive care and neonatal mortality in low-birth-weight infants: a population study.

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Journal:  N Engl J Med       Date:  1982-07-15       Impact factor: 91.245

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  5 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
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2.  Refractive status at birth: its relation to newborn physical parameters at birth and gestational age.

Authors:  Raji Mathew Varghese; Vishnubhatla Sreenivas; Jacob Mammen Puliyel; Sara Varughese
Journal:  PLoS One       Date:  2009-02-13       Impact factor: 3.240

3.  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

4.  Post-transport TOPS score as a predictive marker of mortality among transported neonates and its comparative analysis with SNAP-II PE.

Authors:  Shamili Pammi Ravikumar; Arivoli Kaliyan; Sathya Jeganathan; Reji Manjunathan
Journal:  Heliyon       Date:  2022-08-09

5.  A Pilot Study on Neonatal Surgical Mortality: A Multivariable Analysis of Predictors of Mortality in a Resource-Limited Setting.

Authors:  Archana Puri; Brahmanand Lal; Sushma Nangia
Journal:  J Indian Assoc Pediatr Surg       Date:  2019 Jan-Mar
  5 in total

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