OBJECTIVE: To identify a valid neonatal mortality risk prediction score feasible for use in developing countries. STUDY DESIGN: Retrospective study of 467 neonates, < or =1500 g, enrolled in trials during 1998 to 2005 at tertiary care children's hospitals in Dhaka, Bangladesh, and Cairo, Egypt, and a community field site in Sarlahi District, Nepal. We derived simplified mortality risk scores and compared their predictive accuracy with the modified Clinical Risk Index for Babies (CRIB) II. Outcome was death during hospital stay (Dhaka and Cairo) or end of the neonatal period (Nepal). RESULTS: The area under the curve receiver operating characteristic was 0.62, 0.71, 0.68, and 0.69 on the basis of the (a) CRIB II applied to the Dhaka-Cairo dataset; (b) an 18-category, simplified age, weight, sex score; (c) a binary-risk simplified age-weight (SAW) classification derived from the Dhaka-Cairo dataset; and (d) external validation of the binary-risk SAW classification in the Nepal dataset, respectively. Mortality risk prediction with the SAW classification on the basis of gestational age (< or =29 weeks) or weight (<1000 g) was improved (P = .048) compared with CRIB II. CONCLUSIONS: The SAW classification is a markedly simplified mortality risk prediction score for use in identifying high-risk, very low birth weight neonates in developing country settings for whom urgent referral is indicated.
OBJECTIVE: To identify a valid neonatal mortality risk prediction score feasible for use in developing countries. STUDY DESIGN: Retrospective study of 467 neonates, < or =1500 g, enrolled in trials during 1998 to 2005 at tertiary care children's hospitals in Dhaka, Bangladesh, and Cairo, Egypt, and a community field site in Sarlahi District, Nepal. We derived simplified mortality risk scores and compared their predictive accuracy with the modified Clinical Risk Index for Babies (CRIB) II. Outcome was death during hospital stay (Dhaka and Cairo) or end of the neonatal period (Nepal). RESULTS: The area under the curve receiver operating characteristic was 0.62, 0.71, 0.68, and 0.69 on the basis of the (a) CRIB II applied to the Dhaka-Cairo dataset; (b) an 18-category, simplified age, weight, sex score; (c) a binary-risk simplified age-weight (SAW) classification derived from the Dhaka-Cairo dataset; and (d) external validation of the binary-risk SAW classification in the Nepal dataset, respectively. Mortality risk prediction with the SAW classification on the basis of gestational age (< or =29 weeks) or weight (<1000 g) was improved (P = .048) compared with CRIB II. CONCLUSIONS: The SAW classification is a markedly simplified mortality risk prediction score for use in identifying high-risk, very low birth weight neonates in developing country settings for whom urgent referral is indicated.
Authors: Waldemar A Carlo; Shivaprasad S Goudar; Imtiaz Jehan; Elwyn Chomba; Antoinette Tshefu; Ana Garces; Sailajanandan Parida; Fernando Althabe; Elizabeth M McClure; Richard J Derman; Robert L Goldenberg; Carl Bose; Michael Hambidge; Pinaki Panigrahi; Pierre Buekens; Hrishikesh Chakraborty; Tyler D Hartwell; Janet Moore; Linda L Wright Journal: Pediatrics Date: 2010-10-11 Impact factor: 7.124
Authors: Jalemba Aluvaala; Gary Collins; Beth Maina; Catherine Mutinda; Mary Waiyego; James Alexander Berkley; Mike English Journal: Arch Dis Child Date: 2020-10-22 Impact factor: 3.791
Authors: Melissa M Medvedev; Helen Brotherton; Abdou Gai; Cally Tann; Christopher Gale; Peter Waiswa; Diana Elbourne; Joy E Lawn; Elizabeth Allen Journal: Lancet Child Adolesc Health Date: 2020-02-28