Isabelle Guellec1, Alexandre Lapillonne2, Stephane Marret3, Jean-Charles Picaud4, Delphine Mitanchez5, Marie-Laure Charkaluk6, Jeanne Fresson7, Catherine Arnaud8, Cyril Flamant9, Gilles Cambonie10, Monique Kaminski6, Jean-Christophe Roze9, Pierre-Yves Ancel6. 1. Obstetrical, Perinatal, and Pediatric Epidemiology Team, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (U1153), INSERM, Paris, France. Electronic address: isabelle.guellec@trs.aphp.fr. 2. APHP, Neonatology Unit, Necker Hospital, Paris, France. 3. Rouen University Hospital, Neonatal Medicine, Rouen; Institute of Biomedical Research, University, Inserm Avenir Research Group, IFR 23, Rouen, France. 4. Department of Neonatology, Human Nutrition Research Center, Hospital E. Herriot, Lyon, France. 5. APHP, Neonatology Unit, Trousseau Hospital, Paris, France. 6. Obstetrical, Perinatal, and Pediatric Epidemiology Team, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (U1153), INSERM, Paris, France. 7. Obstetrical, Perinatal, and Pediatric Epidemiology Team, Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (U1153), INSERM, Paris, France; Clinical Epidemiology and Biostatistics Department, CHRU Nancy, Nancy, France. 8. Paul Sabatier University, Toulouse, France. 9. Department of Neonatology, CHU Nantes, Nantes, France. 10. Montpellier University Hospital Center, Neonatal and Pediatric Intensive Care Unit, Montpellier, France.
Abstract
OBJECTIVE: To determine whether extrauterine growth is associated with neurologic outcomes and if this association varies by prenatal growth profile. STUDY DESIGN: For 1493 preterms from the EPIPAGE (Étude Épidémiologique sur les Petits Âges Gestationnels [Epidemiological Study on Small Gestational Ages]) cohort, appropriate for gestational-age (AGA) was defined by birth weight >-2 SD and small for gestational-age (SGA) by birth weight ≤-2 SD. Extra-uterine growth was defined by weight gain or loss between birth and 6 months by z-score change. Growth following-the-curve (FTC) was defined as weight change -1 to +1 SD, catch-down-growth (CD) as weight loss ≥1 SD, and catch-up-growth (CU) as weight gain ≥1 SD. At 5 years, a complete medical examination (n = 1305) and cognitive evaluation with the Kauffman Assessment Battery for Children (n = 1130) were performed. Behavioral difficulties at 5 years and school performance at 8 years were assessed (n = 1095). RESULTS: Overall, 42.5% of preterms were AGA-FTC, 20.2% AGA-CD, 17.1% AGA-CU, 5.6% SGA-FTC, and 14.5% SGA-CU. Outcomes did not differ between CU and FTC preterm AGA infants. Risk of cerebral palsy was greater for AGA-CD compared with AGA-FTC (aOR 2.26 [95% CI 1.37-3.72]). As compared with children with SGA-CU, SGA-FTC children showed no significant increased risk of cognitive deficiency (aOR 1.41[0.94-2.12]) or school difficulties (aOR 1.60 [0.84-3.03]). Compared with AGA-FTC, SGA showed increased risk of cognitive deficiency (SGA-FTC aOR 2.19 [1.25-3.84]) and inattention-hyperactivity (SGA-CU aOR 1.65 [1.05-2.60]). CONCLUSION: Deficient postnatal growth was associated with poor neurologic outcome for AGA and SGA preterm infants. CU growth does not add additional benefits. Regardless of type of postnatal growth, SGA infants showed behavioral problems and cognitive deficiency.
OBJECTIVE: To determine whether extrauterine growth is associated with neurologic outcomes and if this association varies by prenatal growth profile. STUDY DESIGN: For 1493 preterms from the EPIPAGE (Étude Épidémiologique sur les Petits Âges Gestationnels [Epidemiological Study on Small Gestational Ages]) cohort, appropriate for gestational-age (AGA) was defined by birth weight >-2 SD and small for gestational-age (SGA) by birth weight ≤-2 SD. Extra-uterine growth was defined by weight gain or loss between birth and 6 months by z-score change. Growth following-the-curve (FTC) was defined as weight change -1 to +1 SD, catch-down-growth (CD) as weight loss ≥1 SD, and catch-up-growth (CU) as weight gain ≥1 SD. At 5 years, a complete medical examination (n = 1305) and cognitive evaluation with the Kauffman Assessment Battery for Children (n = 1130) were performed. Behavioral difficulties at 5 years and school performance at 8 years were assessed (n = 1095). RESULTS: Overall, 42.5% of preterms were AGA-FTC, 20.2% AGA-CD, 17.1% AGA-CU, 5.6% SGA-FTC, and 14.5% SGA-CU. Outcomes did not differ between CU and FTC preterm AGA infants. Risk of cerebral palsy was greater for AGA-CD compared with AGA-FTC (aOR 2.26 [95% CI 1.37-3.72]). As compared with children with SGA-CU, SGA-FTC children showed no significant increased risk of cognitive deficiency (aOR 1.41[0.94-2.12]) or school difficulties (aOR 1.60 [0.84-3.03]). Compared with AGA-FTC, SGA showed increased risk of cognitive deficiency (SGA-FTC aOR 2.19 [1.25-3.84]) and inattention-hyperactivity (SGA-CU aOR 1.65 [1.05-2.60]). CONCLUSION: Deficient postnatal growth was associated with poor neurologic outcome for AGA and SGA preterm infants. CU growth does not add additional benefits. Regardless of type of postnatal growth, SGA infants showed behavioral problems and cognitive deficiency.
Authors: Tanis R Fenton; Barbara Cormack; Dena Goldberg; Roseann Nasser; Belal Alshaikh; Misha Eliasziw; William W Hay; Angela Hoyos; Diane Anderson; Frank Bloomfield; Ian Griffin; Nicholas Embleton; Niels Rochow; Sarah Taylor; Thibault Senterre; Richard J Schanler; Seham Elmrayed; Sharon Groh-Wargo; David Adamkin; Prakesh S Shah Journal: J Perinatol Date: 2020-03-25 Impact factor: 2.521
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