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Zhao X, Poskett A, Stracke M, Quenby S, Wolke D. Cognitive and academic outcomes of large-for-gestational-age babies born at early term: A systematic review and meta-analysis. Acta Obstet Gynecol Scand 2025; 104:288-301. [PMID: 39475202 PMCID: PMC11782071 DOI: 10.1111/aogs.15001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 10/11/2024] [Accepted: 10/17/2024] [Indexed: 02/01/2025]
Abstract
INTRODUCTION Early induction of labor (37+0-38+6 gestational weeks) in large-for-gestational-age infants may reduce perinatal risks such as shoulder dystocia, but it may also increase the long-term risks of reduced cognitive abilities. This systematic review aimed to evaluate the cognitive and academic outcomes of large-for-gestational-age children born early term vs full term (combined or independent exposures). MATERIAL AND METHODS The protocol was registered in the PROSPERO database under the registration no. CRD42024528626. Five databases were searched from their inception until March 27, 2024, without language restrictions. Studies reporting childhood cognitive or academic outcomes after early term or large-for-gestational-age births were included. Two reviewers independently screened the selected studies. One reviewer extracted the data, and the other double-checked the data. The risk of bias was assessed using the Newcastle-Ottawa Quality Assessment Scale. In addition to narrative synthesis, meta-analyses were conducted where possible. RESULTS Of the 2505 identified articles, no study investigated early-term delivery in large-for-gestational-age babies. Seventy-six studies involving 11 460 016 children investigated the effects of either early-term delivery or large-for-gestational-age. Children born at 37 weeks of gestation (standard mean difference, -0.13; 95% confidence interval, -0.21 to -0.05), but not at 38 weeks (standard mean difference, -0.04; 95% confidence interval, -0.08 to 0.002), had lower cognitive scores than those born at 40 weeks. Large-for-gestational-age children had slightly higher cognitive scores than appropriate-for-gestational-age children (standard mean difference, 0.06; 95% confidence interval, 0.01-0.11). Similar results were obtained using the outcomes of either cognitive impairment or academic performance. CONCLUSIONS No study has investigated the combined effect of early-term delivery on cognitive scores in large-for-gestational-age babies. Early-term delivery may have a very small detrimental effect on cognitive scores, whereas being large for gestational age may have a very small benefit. However, evidence from randomized controlled trials or observational studies is required.
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Affiliation(s)
- Xuan Zhao
- Department of Psychology, Lifespan Health and Wellbeing GroupUniversity of WarwickCoventryUK
- Warwick Medical SchoolUniversity of WarwickCoventryUK
| | - Alice Poskett
- Warwick Medical SchoolUniversity of WarwickCoventryUK
| | - Marie Stracke
- Department of Psychology, Lifespan Health and Wellbeing GroupUniversity of WarwickCoventryUK
| | | | - Dieter Wolke
- Department of Psychology, Lifespan Health and Wellbeing GroupUniversity of WarwickCoventryUK
- Warwick Medical SchoolUniversity of WarwickCoventryUK
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Fisher JJ, Grace T, Castles NA, Jones EA, Delforce SJ, Peters AE, Crombie GK, Hoedt EC, Warren KE, Kahl RG, Hirst JJ, Pringle KG, Pennell CE. Methodology for Biological Sample Collection, Processing, and Storage in the Newcastle 1000 Pregnancy Cohort: Protocol for a Longitudinal, Prospective Population-Based Study in Australia. JMIR Res Protoc 2024; 13:e63562. [PMID: 39546349 DOI: 10.2196/63562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 09/02/2024] [Accepted: 09/19/2024] [Indexed: 11/17/2024] Open
Abstract
BACKGROUND Research in the developmental origins of health and disease provides compelling evidence that adverse events during the first 1000 days of life from conception can impact life course health. Despite many decades of research, we still lack a complete understanding of the mechanisms underlying some of these associations. The Newcastle 1000 Study (NEW1000) is a comprehensive, prospective population-based pregnancy cohort study based in Newcastle, New South Wales, Australia, that will recruit pregnant women and their partners at 11-14 weeks' gestation, with assessments at 20, 28, and 36 weeks; birth; 6 weeks; and 6 months, in order to provide detailed data about the first 1000 days of life to investigate the developmental origins of noncommunicable diseases. OBJECTIVE The study aims to provide a longitudinal multisystem approach to phenotyping, supported by robust clinical data and collection of biological samples in NEW1000. METHODS This manuscript describes in detail the large variety of samples collected in the study and the method of collection, storage, and utility of the samples in the biobank, with a particular focus on incorporation of the samples into emerging and novel large-scale "-omics" platforms, including the genome, microbiome, epigenome, transcriptome, fragmentome, metabolome, proteome, exposome, and cell-free DNA and RNA. Specifically, this manuscript details the methods used to collect, process, and store biological samples, including maternal, paternal, and fetal blood, microbiome (stool, skin, vaginal, oral), urine, saliva, hair, toenail, placenta, colostrum, and breastmilk. RESULTS Recruitment for the study began in March 2021. As of July 2024, 1040 women and 684 partners were enrolled, with 922 infants born. The NEW1000 biobank contains 24,357 plasma aliquots from ethylenediaminetetraacetic acid (EDTA) tubes, 5284 buffy coat aliquots, 4000 plasma aliquots from lithium heparin tubes, 15,884 blood serum aliquots, 2977 PAX RNA tubes, 26,595 urine sample aliquots, 2280 fecal swabs, 17,687 microbiome swabs, 2356 saliva sample aliquots, 1195 breastmilk sample aliquots, 4007 placental tissue aliquots, 2680 hair samples, and 2193 nail samples. CONCLUSIONS NEW1000 will generate a multigenerational, deeply phenotyped cohort with a comprehensive biobank of samples relevant to a large variety of analyses, including multiple -omics platforms. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/63562.
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Affiliation(s)
- Joshua J Fisher
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Tegan Grace
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Nathan A Castles
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Elizabeth A Jones
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Sarah J Delforce
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Alexandra E Peters
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Gabrielle K Crombie
- School of Life and Medical Science, Faculty of Population Health Sciences, University College London, London, United Kingdom
| | - Emily C Hoedt
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Kirby E Warren
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Richard Gs Kahl
- School of Environmental and Life Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, Australia
| | - Jonathan J Hirst
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Kirsty G Pringle
- School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
| | - Craig E Pennell
- School of Medicine and Public Health, College and Health, Medicine and Wellbeing, The University of Newcastle, Callaghan, Australia
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Syrengelas D, Nikaina E, Kleisiouni P, Siahanidou T. Alberta Infant Motor Scale (AIMS) Performance of Early-Term Greek Infants: The Impact of Shorter Gestation on Gross Motor Development among “Term-Born” Infants. CHILDREN 2022; 9:children9020270. [PMID: 35204990 PMCID: PMC8870654 DOI: 10.3390/children9020270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 11/16/2022]
Abstract
Early-term birth (37+0 to 38+6 gestational weeks) may have a negative impact on infants’ neurodevelopment compared to delivery at 39 weeks or beyond. The purpose of this study was to evaluate the gross motor development of early-term infants using the Alberta Infant Motor Scale (AIMS). A total of 1087 healthy infants (559 early-term and 528 full-term infants born at 39+0 to 41+6 weeks of gestation) were studied. Mean AIMS scores were compared between the two groups at monthly intervals. The impact of gestational age on total AIMS scores was assessed by linear regression, after adjustment for chronological age, sex and SGA. Mean total AIMS scores, albeit within normal range, were significantly lower in early-term than full-term infants at the 2nd, 6th, 7th, 8th and 12th month of age; differences between groups were within three points. In multivariate regression analysis, a longer gestation by one week had a positive impact on total AIMS score during the first year of life (β = 0.90; 95% CI 0.45, 1.35). In conclusion, early-term infants exhibit worse gross motor performance during the first year of life in comparison with their full-term peers; however, the differences between the two groups are small.
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Affiliation(s)
- Dimitris Syrengelas
- Department of Pediatric Physical Therapy, "Aghia Sophia" Children's Hospital, 11527 Athens, Greece
| | - Eirini Nikaina
- Neonatal Unit, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Paraskevi Kleisiouni
- Department of Pediatric Physical Therapy, "Aghia Sophia" Children's Hospital, 11527 Athens, Greece
| | - Tania Siahanidou
- Neonatal Unit, First Department of Pediatrics, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
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