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      Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The INTERBIO-21 st Newborn Case-Control Study protocol

      research-article
      a , 1 , 2 , 3 , 1 , 2 , 1 , 4 , 5 , 6 , 6 , 7 , 8 , 1 , 9 , 1 , 10 , 1 , 2 , 11 , 12 , 13 , 1 , 11 , 14 , 15 , 12 , 1 , 16 , 17 , 1 , 2 , 18 , 8 , 19 , 1 , 15 , 20 , 1 , 2 , 1 , 21 , 13 , 1 , 22 , 23 , 24 , 17 , 25 , 1 , 2
      Gates Open Research
      F1000 Research Limited
      preterm birth, SGA, fetal growth, INTERGROWTH-21st, INTERBIO-21st

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background: INTERBIO-21 st is Phase II of the INTERGROWTH-21 st Project, the population-based, research initiative involving nearly 70,000 mothers and babies worldwide coordinated by Oxford University and performed by a multidisciplinary network of more than 400 healthcare professionals and scientists from 35 institutions in 21 countries worldwide. Phase I, conducted 2008-2015, consisted of nine complementary studies designed to describe optimal human growth and neurodevelopment, based conceptually on the WHO prescriptive approach. The studies generated a set of international standards for monitoring growth and neurodevelopment, which complement the existing WHO Child Growth Standards. Phase II aims to improve the functional classification of the highly heterogenous preterm birth and fetal growth restriction syndromes through a better understanding of how environmental exposures, clinical conditions and nutrition influence patterns of human growth from conception to childhood, as well as specific neurodevelopmental domains and associated behaviors at 2 years of age.

          Methods: In the INTERBIO-21 st Newborn Case-Control Study, a major component of Phase II, our objective is to investigate the mechanisms potentially responsible for preterm birth and small for gestational age and their interactions, using deep phenotyping of clinical, growth and epidemiological data and associated nutritional, biochemical, omic and histological profiles. Here we describe the study sites, population characteristics, study design, methodology and standardization procedures for the collection of longitudinal clinical data and biological samples (maternal blood, umbilical cord blood, placental tissue, maternal feces and infant buccal swabs) for the study that was conducted between 2012 and 2018 in Brazil, Kenya, Pakistan, South Africa, Thailand and the UK.

          Discussion: Our study provides a unique resource for the planned analyses given the range of potentially disadvantageous exposures (including poor nutrition, pregnancy complications and infections) in geographically diverse populations worldwide. The study should enhance current medical knowledge and provide new insights into environmental influences on human growth and neurodevelopment.

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          Most cited references77

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          Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

          Background Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies. Also, controlling for confounding is not equivalent for the two measures. In this paper we explore alternatives for modeling data of such studies with techniques that directly estimate the prevalence ratio. Methods We compared Cox regression with constant time at risk, Poisson regression and log-binomial regression against the standard Mantel-Haenszel estimators. Models with robust variance estimators in Cox and Poisson regressions and variance corrected by the scale parameter in Poisson regression were also evaluated. Results Three outcomes, from a cross-sectional study carried out in Pelotas, Brazil, with different levels of prevalence were explored: weight-for-age deficit (4%), asthma (31%) and mother in a paid job (52%). Unadjusted Cox/Poisson regression and Poisson regression with scale parameter adjusted by deviance performed worst in terms of interval estimates. Poisson regression with scale parameter adjusted by χ2 showed variable performance depending on the outcome prevalence. Cox/Poisson regression with robust variance, and log-binomial regression performed equally well when the model was correctly specified. Conclusions Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists than the odds ratio. However, precautions are needed to avoid estimation problems in specific situations.
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            International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project.

            In 2006, WHO published international growth standards for children younger than 5 years, which are now accepted worldwide. In the INTERGROWTH-21(st) Project, our aim was to complement them by developing international standards for fetuses, newborn infants, and the postnatal growth period of preterm infants. INTERGROWTH-21(st) is a population-based project that assessed fetal growth and newborn size in eight geographically defined urban populations. These groups were selected because most of the health and nutrition needs of mothers were met, adequate antenatal care was provided, and there were no major environmental constraints on growth. As part of the Newborn Cross-Sectional Study (NCSS), a component of INTERGROWTH-21(st) Project, we measured weight, length, and head circumference in all newborn infants, in addition to collecting data prospectively for pregnancy and the perinatal period. To construct the newborn standards, we selected all pregnancies in women meeting (in addition to the underlying population characteristics) strict individual eligibility criteria for a population at low risk of impaired fetal growth (labelled the NCSS prescriptive subpopulation). Women had a reliable ultrasound estimate of gestational age using crown-rump length before 14 weeks of gestation or biparietal diameter if antenatal care started between 14 weeks and 24 weeks or less of gestation. Newborn anthropometric measures were obtained within 12 h of birth by identically trained anthropometric teams using the same equipment at all sites. Fractional polynomials assuming a skewed t distribution were used to estimate the fitted centiles. We identified 20,486 (35%) eligible women from the 59,137 pregnant women enrolled in NCSS between May 14, 2009, and Aug 2, 2013. We calculated sex-specific observed and smoothed centiles for weight, length, and head circumference for gestational age at birth. The observed and smoothed centiles were almost identical. We present the 3rd, 10th, 50th, 90th, and 97th centile curves according to gestational age and sex. We have developed, for routine clinical practice, international anthropometric standards to assess newborn size that are intended to complement the WHO Child Growth Standards and allow comparisons across multiethnic populations. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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              Anthropometric reference data for international use: recommendations from a World Health Organization Expert Committee.

              The World Health Organization (WHO) convened an Expert Committee to reevaluate the use of anthropometry at different ages for assessing health, nutrition, and social wellbeing. The Committee's task included identifying reference data for anthropometric indexes when appropriate, and providing guidelines on how the data should be used. For fetal growth, the Committee recommended an existing sex-specific multiracial reference. In view of the significant technical drawbacks of the current National Center for Health Statistics (NCHS)/WHO reference and its inadequacy for assessing the growth of breast-fed infants, the Committee recommended the development of a new reference concerning weight and length/height for infants and children, which will be a complex and costly undertaking. Proper interpretation of midupper arm circumference for preschoolers requires age-specific reference data. To evaluate adolescent height-for-age, the Committee recommended the current NCHS/WHO reference. Use of the NCHS body mass index (BMI) data, with their upper percentile elevations and skewness, is undesirable for setting health goals; however, these data were provisionally recommended for defining obesity based on a combination of elevated BMI and high subcutaneous fat. The NCHS values were provisionally recommended as reference data for subscapular and triceps skinfold thicknesses. Guidelines were also provided for adjusting adolescent anthropometric comparisons for maturational status. Currently, there is no need for adult reference data for BMI; interpretation should be based on pragmatic BMI cutoffs. Finally, the Committee noted that few normative anthropometric data exist for the elderly, especially for those > 80 y of age. Proper definitions of health status, function, and biologic age remain to be developed for this group.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding AcquisitionRole: SupervisionRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Role: Formal AnalysisRole: MethodologyRole: Writing – Review & Editing
                Role: Data CurationRole: Project AdministrationRole: SoftwareRole: Validation
                Role: Data CurationRole: Software
                Role: InvestigationRole: Writing – Review & Editing
                Role: InvestigationRole: Resources
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: Project AdministrationRole: Software
                Role: Project AdministrationRole: Validation
                Role: Project AdministrationRole: Writing – Review & Editing
                Role: Methodology
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: Software
                Role: Project Administration
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: Data CurationRole: Formal AnalysisRole: Software
                Role: InvestigationRole: Project AdministrationRole: ResourcesRole: Validation
                Role: MethodologyRole: Project Administration
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: InvestigationRole: Resources
                Role: Data CurationRole: Formal AnalysisRole: Software
                Role: Methodology
                Role: MethodologyRole: Software
                Role: InvestigationRole: ResourcesRole: Writing – Review & Editing
                Role: Methodology
                Role: Supervision
                Role: SupervisionRole: Writing – Review & Editing
                Role: ConceptualizationRole: Formal AnalysisRole: Funding AcquisitionRole: MethodologyRole: SupervisionRole: Writing – Original Draft PreparationRole: Writing – Review & Editing
                Journal
                Gates Open Res
                Gates Open Res
                Gates Open Res
                Gates Open Research
                F1000 Research Limited (London, UK )
                2572-4754
                5 February 2019
                2018
                : 2
                : 49
                Affiliations
                [1 ]Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
                [2 ]Oxford Maternal & Perinatal Health Institute, Green Templeton College, Oxford, UK
                [3 ]Programa de Pós-Graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, RS, Brazil
                [4 ]Oxford Ludwig Institute, University of Oxford, Oxford, UK
                [5 ]Programa de Pós-Graduação em Saúde e Comportamento, Universidade Federal de Pelotas, Pelotas, RS, Brazil
                [6 ]KEMRI-Coast Centre for Geographical Medicine and Research, University of Oxford, Kilifi, Kenya
                [7 ]Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
                [8 ]Faculty of Health Sciences, Aga Khan University, Nairobi, Kenya
                [9 ]Faculty of Medicine, Department of Paediatrics, University of Southampton, Southampton, UK
                [10 ]Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
                [11 ]Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
                [12 ]Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand
                [13 ]Department of Obstetrics and Gynaecology, Division of Women and Child Health, Aga Khan University, Karachi, Pakistan
                [14 ]Department of Engineering Science, University of Oxford, Oxford, UK
                [15 ]SAMRC Developmental Pathways For Health Research Unit, Department of Paediatrics & Child Health, University of the Witwatersrand, Johannesburg, South Africa
                [16 ]Centre for Statistics in Medicine, Botnar Research Centre, University of Oxford, Oxford, UK
                [17 ]Center for Global Child Health, Hospital for Sick Children, Toronto, Canada
                [18 ]Department of Psychiatry, University of Oxford, Oxford, UK
                [19 ]Departments of Public Health and Obstetrics & Gynaecology, Malawi College of Medicine, Blantyre, Malawi
                [20 ]Health, Nutrition & Population Global Practice, World Bank Group, Washington, DC, USA
                [21 ]Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
                [22 ]Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
                [23 ]Division of Paediatrics, Pontifical Universidad Catolica de Chile, Santiago, Chile
                [24 ]Department of Nutrition and Public Health Interventions Research, London School of Hygiene and Tropical Medicine, London, UK
                [25 ]Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan
                [1 ]Mother Infant Research Institute (MIRI), Tufts Medical Center, Boston, MA, USA
                [1 ]Division of Global Women’s Health, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                [1 ]Division of Global Women’s Health, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
                Author notes

                No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Competing interests: No competing interests were disclosed.

                Author information
                https://orcid.org/0000-0003-0135-9317
                https://orcid.org/0000-0001-5973-1746
                https://orcid.org/0000-0002-0261-9814
                https://orcid.org/0000-0003-1621-3257
                https://orcid.org/0000-0002-3060-3772
                https://orcid.org/0000-0002-7951-0745
                https://orcid.org/0000-0003-0699-2381
                https://orcid.org/0000-0003-2480-3329
                Article
                10.12688/gatesopenres.12869.2
                6545521
                31172050
                299b6f8a-a7ea-4ec2-bb79-302b29b3d178
                Copyright: © 2019 Kennedy SH et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 4 February 2019
                Funding
                Funded by: Bill and Melinda Gates Foundation
                Award ID: OPP49038
                The work was supported by the INTERGROWTH-21st grant no.49038 from the Bill & Melinda Gates Foundation to the University of Oxford, for which we are very grateful.
                The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Study Protocol
                Articles

                preterm birth,sga,fetal growth,intergrowth-21st,interbio-21st

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