OBJECTIVE: To describe neonatal intensive care unit (NICU) medical interventions and NICU mortality by birth weight and major anomaly types for infants with trisomy 13 (T13) or 18 (T18). STUDY DESIGN: Retrospective cohort analysis of infants with T13 or T18 from 2005 to 2012 in the Pediatrix Medical Group. We classified infants into three groups by associated anomaly type: neonatal surgical, non-neonatal surgical and minor. Outcomes were NICU medical interventions and mortality. RESULTS: 841 infants were included from 186 NICUs. NICU mortality varied widely by anomaly type and birth weight, from 70% of infants <1500 g with neonatal surgical anomalies to 31% of infants ⩾2500 g with minor anomalies. Infants ⩾1500 g without a neonatal surgical anomaly comprised 66% of infants admitted to the NICU; they had the lowest rates of NICU medical interventions and NICU mortality. CONCLUSIONS: Risk stratification by anomaly type and birth weight may help provide more accurate family counseling for infants with T13 and T18.
OBJECTIVE: To describe neonatal intensive care unit (NICU) medical interventions and NICU mortality by birth weight and major anomaly types for infants with trisomy 13 (T13) or 18 (T18). STUDY DESIGN: Retrospective cohort analysis of infants with T13 or T18 from 2005 to 2012 in the Pediatrix Medical Group. We classified infants into three groups by associated anomaly type: neonatal surgical, non-neonatal surgical and minor. Outcomes were NICU medical interventions and mortality. RESULTS: 841 infants were included from 186 NICUs. NICU mortality varied widely by anomaly type and birth weight, from 70% of infants <1500 g with neonatal surgical anomalies to 31% of infants ⩾2500 g with minor anomalies. Infants ⩾1500 g without a neonatal surgical anomaly comprised 66% of infants admitted to the NICU; they had the lowest rates of NICU medical interventions and NICU mortality. CONCLUSIONS: Risk stratification by anomaly type and birth weight may help provide more accurate family counseling for infants with T13 and T18.
Authors: Catherine Vendola; Mark Canfield; Stephen P Daiger; Michael Gambello; S Shahrukh Hashmi; Terri King; Sarah J Noblin; D Kim Waller; Jacqueline T Hecht Journal: Am J Med Genet A Date: 2010-02 Impact factor: 2.802
Authors: Stephen J Pont; James M Robbins; T M Bird; James B Gibson; Mario A Cleves; John M Tilford; Mary E Aitken Journal: Am J Med Genet A Date: 2006-08-15 Impact factor: 2.802
Authors: Anna Springett; Diana Wellesley; Ruth Greenlees; Maria Loane; Marie-Claude Addor; Larraitz Arriola; Jorieke Bergman; Clara Cavero-Carbonell; Melinda Csaky-Szunyogh; Elizabeth S Draper; Ester Garne; Miriam Gatt; Martin Haeusler; Babak Khoshnood; Kari Klungsoyr; Catherine Lynch; Carlos Matias Dias; Robert McDonnell; Vera Nelen; Mary O'Mahony; Anna Pierini; Annette Queisser-Luft; Judith Rankin; Anke Rissmann; Catherine Rounding; Sylvia Stoianova; David Tuckerz; Natalya Zymak-Zakutnia; Joan K Morris Journal: Am J Med Genet A Date: 2015-09-08 Impact factor: 2.802
Authors: Nansi S Boghossian; Nellie I Hansen; Edward F Bell; Barbara J Stoll; Jeffrey C Murray; John C Carey; Ira Adams-Chapman; Seetha Shankaran; Michele C Walsh; Abbot R Laptook; Roger G Faix; Nancy S Newman; Ellen C Hale; Abhik Das; Leslie D Wilson; Angelita M Hensman; Cathy Grisby; Monica V Collins; Diana M Vasil; Joanne Finkle; Deanna Maffett; M Bethany Ball; Conra B Lacy; Rebecca Bara; Rosemary D Higgins Journal: Pediatrics Date: 2014-01-20 Impact factor: 7.124