International comparisons of neurodevelopmental outcomes in infants born very preterm
H Torchin, AS Morgan, PY Ancel - Seminars in Fetal and Neonatal Medicine, 2020 - Elsevier
We summarise rates of survival and neurodevelopmental impairment in very (< 32 weeks'
gestation) and extremely (< 28 weeks' gestation) preterm infants using data from recent meta …
gestation) and extremely (< 28 weeks' gestation) preterm infants using data from recent meta …
Cohort profile: Effective Perinatal Intensive Care in Europe (EPICE) very preterm birth cohort
J Zeitlin, RF Maier, M Cuttini, U Aden… - International Journal …, 2020 - academic.oup.com
The Effective Perinatal Intensive Care in Europe (EPICE) cohort includes all births between
22 þ 0 and 31 þ 6 weeks of gestation in 2011/12 in 19 regions in 11 European countries …
22 þ 0 and 31 þ 6 weeks of gestation in 2011/12 in 19 regions in 11 European countries …
The challenges of heterogeneity in gestational age and birthweight inclusion criteria for research synthesis on very preterm birth and childhood cognition: An umbrella …
M Sentenac, A Chaimani, S Twilhaar… - Paediatric and …, 2022 - Wiley Online Library
Background Meta‐analyses of studies on very preterm (VPT) birth and childhood cognition
select primary studies using gestational age inclusion criteria only, while others also include …
select primary studies using gestational age inclusion criteria only, while others also include …
Ranibizumab in retinopathy of prematurity–one‐year follow‐up of ophthalmic outcomes and two‐year follow‐up of neurodevelopmental outcomes from the CARE …
A Stahl, MC Bründer, WA Lagrèze… - Acta …, 2022 - Wiley Online Library
Purpose The primary endpoint results from the comparing alternative ranibizumab dosages
for safety and efficacy in retinopathy of prematurity (CARE‐ROP) core study identified …
for safety and efficacy in retinopathy of prematurity (CARE‐ROP) core study identified …
Association between postnatal growth and neurodevelopmental impairment by sex at 2 years of corrected age in a multi-national cohort of very preterm children
Background & aims Extra-uterine growth restriction (EUGR) is common among very preterm
(VPT) infants and has been associated with impaired neurodevelopment. Some research …
(VPT) infants and has been associated with impaired neurodevelopment. Some research …
Rates of neuropsychiatric disorders and gestational age at birth in a Danish population
Importance Nonoptimal gestational durations could be associated with neurodevelopmental
disabilities, yet evidence regarding finer classification of gestational age and rates of …
disabilities, yet evidence regarding finer classification of gestational age and rates of …
Average 2.5‐year neurodevelopmental test results in children born very preterm did not rule out cognitive deficits at 6.5 years of age
YF Kaul, N Naseh, K Strand Brodd, B Böhm… - Acta …, 2021 - Wiley Online Library
Aim The aim of the study was to investigate cognitive outcomes at 6.5 years in children born
very preterm, in relation to neonatal characteristics and 2.5‐year neurodevelopment …
very preterm, in relation to neonatal characteristics and 2.5‐year neurodevelopment …
Developmental trajectories in very preterm born children up to 8 years: a longitudinal cohort study
PE Van Beek, IE Van der Horst, J Wetzer… - Frontiers in …, 2021 - frontiersin.org
Aim: Long-term outcome data in preterm children is often limited to cross-sectional
measurement of neurodevelopmental impairment (NDI) at the corrected age of 24-36 …
measurement of neurodevelopmental impairment (NDI) at the corrected age of 24-36 …
Postnatal growth restriction and neurodevelopment at 5 years of age: a European extremely preterm birth cohort study
R El Rafei, RF Maier, PH Jarreau, M Norman… - Archives of Disease in …, 2023 - fn.bmj.com
Objective To investigate whether extrauterine growth restriction (EUGR) during the neonatal
hospitalisation by sex among extremely preterm (EPT) infants is associated with cerebral …
hospitalisation by sex among extremely preterm (EPT) infants is associated with cerebral …
Machine learning methods to predict attrition in a population-based cohort of very preterm infants
R Teixeira, C Rodrigues, C Moreira, H Barros… - Scientific reports, 2022 - nature.com
The timely identification of cohort participants at higher risk for attrition is important to earlier
interventions and efficient use of research resources. Machine learning may have …
interventions and efficient use of research resources. Machine learning may have …