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      Sex-specific differences in HPA axis activity in VLBW preterm newborns

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          Abstract

          Objective

          Sex-specific differences in hypothalamic–pituitary–adrenal axis activity might explain why male preterm infants are at higher risk of neonatal mortality and morbidity than their female counterparts. We examined whether male and female preterm infants differed in cortisol production and metabolism at 10 days post-partum.

          Design and methods

          This prospective study included 36 preterm born infants (18 boys) with a very low birth weight (VLBW) (<1.500 g). At 10 days postnatal age, urine was collected over a 4- to 6-h period. Glucocorticoid metabolites were measured using gas chromatography-mass spectrometry. Main outcome measures were: (1) cortisol excretion rate, (2) sum of all glucocorticoid metabolites, as an index of corticosteroid excretion rate, and (3) ratio of 11-OH/11-OXO metabolites, as an estimate of 11B-hydroxysteroid dehydrogenase (11B-HSD) activity. Differences between sexes, including interaction with Score of Neonatal Acute Physiology Perinatal Extension-II (SNAPPE II), sepsis and bronchopulmonary dysplasia (BPD), were assessed.

          Results

          No differences between sexes were found for cortisol excretion rate, corticosteroid excretion rate or 11B-HSD activity. Interaction was observed between: sex and SNAPPE II score on 11B-HSD activity ( P = 0.04) and sex and BPD on cortisol excretion rate ( P = 0.04).

          Conclusion

          This study did not provide evidence for sex-specific differences in adrenocortical function in preterm VLBW infants on a group level. However, in an interaction model, sex differences became manifest under stressful circumstances. These patterns might provide clues for the male disadvantage in neonatal mortality and morbidity following preterm birth. However, due to the small sample size, the data should be seen as hypothesis generating.

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          Most cited references29

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          Bronchopulmonary dysplasia.

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            A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants

            Background The aim of this study was to revise the 2003 Fenton Preterm Growth Chart, specifically to: a) harmonize the preterm growth chart with the new World Health Organization (WHO) Growth Standard, b) smooth the data between the preterm and WHO estimates, informed by the Preterm Multicentre Growth (PreM Growth) study while maintaining data integrity from 22 to 36 and at 50 weeks, and to c) re-scale the chart x-axis to actual age (rather than completed weeks) to support growth monitoring. Methods Systematic review, meta-analysis, and growth chart development. We systematically searched published and unpublished literature to find population-based preterm size at birth measurement (weight, length, and/or head circumference) references, from developed countries with: Corrected gestational ages through infant assessment and/or statistical correction; Data percentiles as low as 24 weeks gestational age or lower; Sample with greater than 500 infants less than 30 weeks. Growth curves for males and females were produced using cubic splines to 50 weeks post menstrual age. LMS parameters (skew, median, and standard deviation) were calculated. Results Six large population-based surveys of size at preterm birth representing 3,986,456 births (34,639 births < 30 weeks) from countries Germany, United States, Italy, Australia, Scotland, and Canada were combined in meta-analyses. Smooth growth chart curves were developed, while ensuring close agreement with the data between 24 and 36 weeks and at 50 weeks. Conclusions The revised sex-specific actual-age growth charts are based on the recommended growth goal for preterm infants, the fetus, followed by the term infant. These preterm growth charts, with the disjunction between these datasets smoothing informed by the international PreM Growth study, may support an improved transition of preterm infant growth monitoring to the WHO growth charts.
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              SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores

              Illness severity scores for newborns are complex and restricted by birth weight and have dated validations and calibrations. We developed and validated simplified neonatal illness severity and mortality risk scores. The primary outcome was in-hospital mortality.

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                February 2021
                20 January 2021
                : 10
                : 2
                : 214-219
                Affiliations
                [1 ]Department of Pediatric Endocrinology , Emma Children’s Hospital, Amsterdam University Medical Centers, location VUmc, Amsterdam, The Netherlands
                [2 ]Department of Pediatrics , Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Reproduction & Development Research Institute, de Boelelaan, Amsterdam, The Netherlands
                [3 ]Department of Pediatric Endocrinology , Sophia Kinderziekenhuis, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
                [4 ]Emma Children’s Hospital , Amsterdam University Medical Centers, locations AMC and VUmc, Amsterdam, The Netherlands
                [5 ]Steroid Research and Mass Spectrometry Unit , Laboratory for Translational Hormone Analytics, Pediatric Endocrinology & Diabetology, Center of Child and Adolescent Medicine, Justus-Liebig-University, Giessen, Germany
                Author notes
                Correspondence should be addressed to M Romijn: m.romijn1@ 123456amsterdamumc.nl

                *(B J van Keulen and M Romijn contributed equally to this work)

                Author information
                http://orcid.org/0000-0003-2848-9533
                http://orcid.org/0000-0003-3558-554X
                Article
                EC-20-0587
                10.1530/EC-20-0587
                7983523
                33480864
                b55ad989-e3e0-4fa7-a816-dd5c252947fc
                © 2021 The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 03 December 2020
                : 20 January 2021
                Categories
                Research

                glucocorticoid,metabolites,steroid,sexual dimorphism
                glucocorticoid, metabolites, steroid, sexual dimorphism

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