Gaceta Médica de México

Contents by Year, Volume and Issue

Table of Contents

General Information

Instructions for Authors

Message to Editor

Editorial Board

>Journals >Gaceta Médica de México >Year 2015, Issue 2

Ramírez-Huerta AC, Grober-Páez F, Higareda-Almaraz MA, Higareda-Almaraz E, Castillo-Sánchez R
Clinical risk index for babies II (CRIB II) and weight to predict mortality in preterm infants less than 32 weeks treated with surfactant
Gac Med Mex 2015; 151 (2)

Language: Español
References: 19
Page: 192-196
PDF: 129.15 Kb.

Full text


Objective: To determine the usefulness of the Clinical Risk Index for Babies II (CRIB II) and weight to predict mortality in preterm infants ‹ 32 weeks treated with exogenous surfactant. Material and Methods: Design: cohort for diagnostic test. Preterm babies ‹ 32 weeks who received exogenous surfactant in a third level of care were included. The cutoff for CRIB II was evaluated and considered as score › 10 and weight ‹ 750 grams; monitoring was performed until discharge or death. Results: RNP data analyzed 105 babies; 55/105 (52%) were female, the mean value ± 1.4 weight 2 grams and 29 + 2 weeks gestational age. Mortality was found in 16/105, of which 15/16 had a score › 10 on the CRIB II index. Survival was found in 89/105 and index › 10 points in 2/89. Based on these results we found: sensitivity 93%, specificity 98%, positive predictive value 88%, negative predictive value 98%. With weight ‹ 750 grams, mortality occurred in 10/16 and survival in 17/89; sensitivity 62%, specificity 81%, positive predictive value 37%, and negative predictive value 92%. Conclusions: The CRIB II index is more useful than weight for predicting mortality in preterm infants less than 32 weeks treated with surfactant.

Key words: CRIB II, Preterm, Surfactant.


  1. Beck S, Wojdyla D, Say L, et al. The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity. Bull World Health Organ. 2010;88(1):31-8.

  2. Abdel-Latif ME, Bajuk B, Oei J, Lui K; New South Wales and the Australian Capital Territory Neonatal Intensive Care Audit Group. Mortality and morbidities among very premature infants admitted after hours in an Australian neonatal intensive care unit network. Pediatrics. 2006;117(5):1632-9.

  3. Medlock S, Ravelli ACJ, Tamminga P, Mol BWM, Abu-Hanna A. Prediction of mortality in very premature infants: a systematic review of prediction models. PLoS One. 2011;6(9):e23441.

  4. Gagliardi L, Cavazza A, Brunell A, et al. Assessing mortality risk in very low birthweight infants: a comparison of CRIB, CRIB II and SNAPPE-II. Arch Dis Fetal Neonatal. 2004;89(5):419-22.

  5. Parry G, Tucker J, Tarnow-Mordi W; UK Neonatal Staffing Study Collaborative Group. CRIB II: an update of the clinical risk index for babies score. Lancet. 2003;361(9371):1789-91.

  6. Ballard JL, Khoury JC, Wedig K, Wang L, Eilers-Walsman BL, Lipp R. New Ballard Score, expanded to include extremely premature infants. J Pediatr. 1991;119(3):417-23.

  7. Jaeschke R, Guyatt GH, Sackett DL. Users’ guides to the medical literature. III. How to use an article about a diagnostic test. B. What are the results and will they help me in caring for my patients? The Evidence- Based Medicine Working Group. JAMA. 1994;271(9):703-7.

  8. Jaeschke R, Guyatt G, Sackett DL. Users’ guides to the medical literature. III. How to use an article about a diagnostic test. A. Are the results of the study valid? Evidence-Based Medicine Working Group. JAMA. 1994;271(5):389-91.

  9. World Medical Association. World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. Nurs Ethics. 2002;9(1):105-9.

  10. Mathew TJ, MacDorman MF. Infant mortality statistics from the 2003 period linked birth/infant death data set. Natl Vital Stat Rep. 2006; 54(16):1-30.

  11. Nascimento RM, Leite AJ, Almeida NM, Almeida PC, Silva CF. [Determinants of neonatal mortality: a case-control study in Fortaleza, Ceará State, Brazil]. Cad Saude Publica. 2012;28(3):559-72.

  12. Uthman OA. Effect of low birth weight on infant mortality: analysis using Weibull hazard model. Int J of Epidemiol. 2008;6(1):8.

  13. Daynia EB, Tobias FC, Peter AC. Determinants of survival in very low birth weight neonates in a public sector hospital in Johannesburg. BMC Pediatrics. 2010;10(30):10-30.

  14. Bührer C, Grimmer I, Metze B, Obladen M. The CRIB (Clinical Risk Index for Babies) score and neurodevelopmental impairment at one year corrected age in very low birth weight infants. Intensive Care Med. 2000;26(3):325-9.

  15. Lodha A, Sauvé R, Chen S, Tang S, Christianson H. Clinical Risk Index for Babies score for the prediction of neurodevelopmental outcomes at 3 years of age in infants of very low birthweight. Dev Med Child Neurol. 2009;51(11):895-900.

  16. Vakrilova L, Emilova Z, Slu˘ncheva B, Kalaı˘dzhieva M, Pramatarova T, Iaru˘kova N. [Using the CRIB as an early prognostic index for very low birthweight infants, treated in neonatal intensive care unites]. Akush Ginekol (Sofiia). 2007;46 Suppl 1:66-73.

  17. Brito AS, Matsuo T, Gonzalez MR, de Carvalho AB, Ferrari LS. [CRIB score, birth weight and gestational age in neonatal mortality riskevaluation]. Rev Saude Publica. 2003;37(5):597-602.

  18. Guzmán-Cabañas JM, Párraga-Quiles MJ, del-Prado N, et al. Usefulness of Clinical Risk Index for Babies based on birth weight in predicting hospital death and severe intraventicular hemorrhage in the SEN 1500 Spanish neonatal network. An Pediatr (Barc). 2009;71(2): 117-27.

  19. Rastogi PK, Sreenivas V, Kumar N. Validation of CRIB II for prediction of mortality in premature babies. Indian Pediatr. 2010;47(2):145-7.

>Journals >Gaceta Médica de México >Year 2015, Issue 2

· Journal Index 
· Links 

Copyright 2019