Jennifer S McLeod1, Anitha Menon2, Niki Matusko3, Gary M Weiner4,5, Samir K Gadepalli1,4, John Barks4,5, George B Mychaliska1,4, Erin E Perrone6,7. 1. Department of Surgery, Section of Pediatric Surgery, University of Michigan, Michigan Medicine, Ann Arbor, MI, 48109, USA. 2. University of Michigan Medical School, Ann Arbor, MI, 48109, USA. 3. Department of Surgery Statistics, University of Michigan, Michigan Medicine, Ann Arbor, MI, 48109, USA. 4. University of Michigan, Michigan Medicine, Fetal Diagnosis and Treatment Center, Ann Arbor, MI, 48109, USA. 5. Department of Pediatrics, Neonatal-Perinatal Medicine Division, University of Michigan, Michigan Medicine, Ann Arbor, MI, 48109, USA. 6. Department of Surgery, Section of Pediatric Surgery, University of Michigan, Michigan Medicine, Ann Arbor, MI, 48109, USA. eperrone@med.umich.edu. 7. University of Michigan, Michigan Medicine, Fetal Diagnosis and Treatment Center, Ann Arbor, MI, 48109, USA. eperrone@med.umich.edu.
Abstract
OBJECTIVE: To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age). STUDY DESIGN: PubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI). RESULTS: Of 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)]. CONCLUSIONS: Although the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.
OBJECTIVE: To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting pre-discharge mortality among very low birth weight (VLBW) infants (<1500 g) and very preterm infants (<32 weeks' gestational age). STUDY DESIGN: PubMed, EMBASE, and Scopus were the data sources searched for studies published before January 2019. Data were extracted, pooled, and analyzed using random-effects models and reported as AUC with 95% confidence intervals (CI). RESULTS: Of 1659 screened studies, 24 met inclusion criteria. CRIB was the most discriminate for predicting pre-discharge mortality [AUC 0.88 (0.86-0.90)]. GA was the least discriminate [AUC 0.76 (0.72-0.80)]. CONCLUSIONS: Although the original CRIB score was the most accurate predictor of pre-discharge mortality, significant heterogeneity between studies lowers confidence in this pooled estimate. A more precise illness severity score to predict pre-discharge mortality is still needed.
Authors: Stacy Beck; Daniel Wojdyla; Lale Say; Ana Pilar Betran; Mario Merialdi; Jennifer Harris Requejo; Craig Rubens; Ramkumar Menon; Paul F A Van Look Journal: Bull World Health Organ Date: 2009-09-25 Impact factor: 9.408
Authors: Davide De Francesco; Yair J Blumenfeld; Ivana Marić; Jonathan A Mayo; Alan L Chang; Ramin Fallahzadeh; Thanaphong Phongpreecha; Alex J Butwick; Maria Xenochristou; Ciaran S Phibbs; Neda H Bidoki; Martin Becker; Anthony Culos; Camilo Espinosa; Qun Liu; Karl G Sylvester; Brice Gaudilliere; Martin S Angst; David K Stevenson; Gary M Shaw; Nima Aghaeepour Journal: iScience Date: 2022-03-22