Abstract

BackgroundAccurate prediction of persistent and emerging developmental problems in preterm-born children may lead to targeted interventions. AimsTo determine whether specific perinatal and social factors were associated with persistent, emerging, and resolving developmental problems of early-preterm (EPs) and moderately-and-late-preterm children (MLPs) from before to after school entry. Study designObservational longitudinal cohort study, part of the LOLLIPOP cohort-study. Subjects341 EPs and 565 MLPs. Outcome measuresDevelopmental problems using the Ages and Stages Questionnaire at ages 4 and 5. We collected data on perinatal and social factors from medical records. Using logistic regression analyses we assessed associations between 48 factors and persistent, emerging, and resolving problems. ResultsOf EPs, 8.7% had persistent and 5.1% emerging problems; this was 4.3% and 1.9% for MLPs, respectively. Predictors for persistent problems included chronic mental illness of the mother, odds ratio (95% confidence interval) 8.01 (1.85–34.60), male sex 4.96 (2.28–10.82), being born small-for-gestational age (SGA) 2.39 (1.15–4.99), and multiparity 3.56 (1.87–6.76). Predictors for emerging problems included MLP birth with prolonged premature rupture of membranes (PPROM) 5.01 (1.38–18.14). Including all predictors in a single prediction model, the explained variance (Nagelkerke R2) was 21.9%, whereas this was 3.0% with only EP/MLP birth as predictor. ConclusionsOnly few perinatal and social factors had associations with persistent and emerging developmental problems for both EPs and MLPs. For children with specific neonatal conditions such as SGA, and PPROM in MLPs, problems may persist. Insight in risk factors largely improved the prediction of developmental problems among preterm children.

Highlights

  • Worldwide, 11% of all children are born before 37 weeks’ gestational age (GA) [1]

  • Within the preterm group problems emerge in some individuals, resolve in others, and are Abbreviations: ASQ, Ages and Stages Questionnaire; AUC, area under the curve; CPAP, continuous positive airway pressure; 95% CI, 95% confidence interval; EPs, early preterm children (25–31 weeks gestational age); FTs, full-term children (38–41 weeks gestational age); GA, gestational age; HELLP, hemolysis, elevated liver enzymes, and low platelet count syndrome oreclampsia; LOLLIPOP, Longitudinal Preterm Outcome Project; MLPs, moderately-and-late preterm children (32–35 weeks gestational age); NICU, neonatal intensive care unit; OR, odds ratio; PPROM, prolonged premature rupture of membranes; standard deviations (SD), standard deviation

  • Factors that remained in the final model associated with persistent or emerging problems included chronic mental illness of the mother, male sex, being born small-for-gestational age (SGA), and multiparity

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Summary

Introduction

11% of all children are born before 37 weeks’ gestational age (GA) [1]. More than 80% of these children are born moderately-andlate preterm (MLP), with GA between 32 and 36 weeks; the remainder are born early-preterm (EP), with GA less than 32 weeks. Within the preterm group problems emerge in some individuals, resolve in others, and are Abbreviations: ASQ, Ages and Stages Questionnaire; AUC, area under the curve; CPAP, continuous positive airway pressure; 95% CI, 95% confidence interval; EPs, early preterm children (25–31 weeks gestational age); FTs, full-term children (38–41 weeks gestational age); GA, gestational age; HELLP, hemolysis, elevated liver enzymes, and low platelet count syndrome or (pre)eclampsia; LOLLIPOP, Longitudinal Preterm Outcome Project; MLPs, moderately-and-late preterm children (32–35 weeks gestational age); NICU, neonatal intensive care unit; OR, odds ratio; PPROM, prolonged premature rupture of membranes; SD, standard deviation. Aims: To determine whether specific perinatal and social factors were associated with persistent, emerging, and resolving developmental problems of early-preterm (EPs) and moderately-and-late-preterm children (MLPs) from before to after school entry. Insight in risk factors largely improved the prediction of developmental problems among preterm children

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