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144 results for “gestational age”
Similarity network fusion to identify phenotypes of small for gestational age fetuses
<p>Fetal growth restriction (FGR) affects 5-10% of pregnancies, is the largest contributor to fetal death, and can have long-term consequences for the child. Implementation of a standard clinical classification system is hampered by the multiphenotypic spectrum of small fetuses with substantial differences in perinatal risks. Machine learning and multiomics data can potentially revolutionize clinical decision-making in FGR by identifying new phenotypes. Herein, we describe a cluster analysis of FGR based on an unbiased machine-learning method. Our results <em>confirm</em> the existence of two subtypes of human FGR with distinct molecular and clinical features based on multi-omic analysis. In addition, we demonstrated that clusters generated by machine learning significantly outperform single data subtype analysis and biologically support the current clinical classification in predicting adverse maternal and neonatal outcomes. Our approach can aid in the refinement of clinical classification systems for FGR supported by molecular and clinical signatures. </p>
Genotropin Treatment In Very Young Children Born Small For Gestational Age
ClinicalTrials.gov study NCT00627523. IPD Sharing: Not stated. Countries: 9. Publications: 1.
Growth Hormone Treatment in Children Born Small for Gestational Age (SGA)
ClinicalTrials.gov study NCT00184717. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Open-Label, Safety, and Efficacy Study of Dexmedetomidine in Preterm Subjects Ages ≥28 Weeks to <36 Weeks Gestational Age
ClinicalTrials.gov study NCT01508455. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Outpatient Antibiotics Following Previable Rupture of Membranes (pPPROM) Between 18 0/7 and 22 6/7 Weeks Gestational Age
ClinicalTrials.gov study NCT05345457. IPD Sharing: YES. Countries: 1. Publications: 57.
Safety, Efficacy and Pharmacokinetic Study of Dexmedetomidine in Pediatrics Ages ≥28 Weeks to ≤44 Weeks Gestational Age
ClinicalTrials.gov study NCT01159262. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Assessing Gestational Age in First Trimester Pregnancies Using Ultrasound
ClinicalTrials.gov study NCT03957200. IPD Sharing: NO. Countries: 1. Publications: 1.
Steroids and Surfactant in Extremely Low Gestation Age Infants Dose Escalation Trial
ClinicalTrials.gov study NCT02907593. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Oropharyngeal Administration of Colostrum to Extremely Low Gestational Age Newborns
ClinicalTrials.gov study NCT01536093. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Diagnostic Accuracy of a Novel Machine Learning Algorithm to Estimate Gestational Age
ClinicalTrials.gov study NCT05433519. IPD Sharing: YES. Countries: 2. Publications: 1.
DNA methylation profiling and genomic analysis in 20 children with short stature who were born small-for-gestational age
<p><b><span>Purpose:</span></b> In a significant proportion of children born small-for-gestational age (SGA) with failure of catch-up growth, the etiology of short stature remains unclear after routine diagnostic work-up. We wanted to investigate if extensive analysis of the (epi)genome can unravel the cause of growth failure in a significant portion of these children.</p> <p><b><span>Patients and Methods:</span></b><span> Twenty </span><span>SGA</span><span> children treated with growth hormone (GH) because of short stature were selected from the BELGROW database of the Belgian Society for Pediatric Endocrinology and Diabetology </span>for<span> exome sequencing, SNP array and genome-wide methylation analysis to identify the (epi)genetic cause. First year response to GH was compared to the response of SGA patients in the KIGS database.</span></p> <p><b><span>Results:</span></b><span> We identified (likely) pathogenic variants in 4 children (from 3 families) using exome sequencing and found pathogenic CNV in 2 probands using SNP array. In a child harboring a <i>NSD1</i>-containing microduplication, we identified a DNA methylation signature that is opposite to the genome-wide DNA methylation signature of Sotos syndrome. Moreover, we observed multi-locus imprinting disturbances in two children in whom no other genomic alteration could be identified. Five out of 6 children with a genetic diagnosis had an "above average" response to GH.</span></p> <p><b><span>Conclusions: </span></b><span>The study indicates that a more advanced approach with deep genotyping can unravel unexpected (epi)genomic alterations in SGA children with persistent growth failure. Most SGA children with a genetic diagnosis had a good response to GH treatment.</span></p>
Supplemental tables of Growth, puberty and testicular function in boys born small for gestational age with non-specific disorder of sex development
<p>Being born small for gestational age (SGA) is frequently associated with unexplained disorder of sex development (non-specific DSD) in boys. Little is known about their future growth, puberty and testicular function. Our objective is to determine the long-term endocrine outcome of boys born SGA who have a non-specific DSD. Cases and controls were retrieved through the international DSD registry and retrospective data collected, based on a spreadsheet containing 102 items. 46,XY boys with a non-specific DSD (n = 179) were included. Males born SGA (n=115) were compared to males born appropriate for gestational age (AGA) (n=64). Their growth and pubertal development were compared. Serum LH, FSH, testosterone, AMH and inhibin B levels in infancy and puberty were analyzed to assess testicular function. At two years of age, 30% of boys born SGA had incomplete or absent catch-up growth. Boys born SGA also had higher LH during minipuberty and lower testosterone in stimulation tests (p=.037 and .040 respectively), as compared to boys with non-specific DSD born AGA. No differences were observed in timing or course of puberty or end-pubertal hormone levels. Almost one out of three SGA boys with a non-specific DSD experiences insufficient catch-up growth. In addition, our data suggest dysfunction of infantile Leydig cells or altered regulation of the hypothalamic-pituitary-gonadal axis in SGA boys during childhood. Sex steroid production during puberty seems unaffected. </p>
Portable ultrasound technologies for estimating gestational age in pregnant women: A scoping review and analysis of commercially available models
<p><strong>Objectives</strong>: To identify all available studies assessing the use of portable ultrasound devices for pregnant women, with the specific aim of finding evidence for devices used to determine gestational age and their validity when compared to conventional ultrasound machines. We also wanted to determine what portable ultrasound models are commercially available for obstetric use. </p> <p><strong>Design</strong>: Systematic scoping review</p> <p><strong>Primary and secondary outcome measures:</strong> Extracted variables included study design, population, method of ultrasound measurement, devices used and whether studies formally validated accuracy against conventional ultrasound</p> <p><strong>Results</strong>: We searched four databases – Medline, Embase, CINAHL, and Maternal and Infant Care. In total, 56 studies from 34 countries were identified; most were observational studies. Across all studies, 27 different portable ultrasound models (from 17 manufacturers) were evaluated. Twenty-one studies assessed use of portable ultrasound for evaluating fetal characteristics or estimating gestational age, and 10 of these were formal validation studies. In total, six portable devices have been validated for gestational age estimation against a conventional ultrasound comparator. The web searches identified 102 portable devices (21 manufacturers). These were a mix of handheld devices that connected to a phone or computer, or laptop-style portable ultrasound devices. Prices ranged from $1,190 to $30,000 USD and weight ranged from 0.9 kg to 13.0 kg.</p> <p><strong>Conclusion</strong>: While the number of commercially available portable ultrasound devices continues to grow, there remains a lack of peer-reviewed, quality evidence demonstrating their accuracy and validity when compared to conventional ultrasound machines. This review identified some models that may be useful in gestational age estimation in low-resource settings, but more research is required to help implement the technology at scale.</p>
The Extended Gestational Age Medical Abortion Study
ClinicalTrials.gov study NCT00997347. IPD Sharing: Not stated. Countries: 5. Publications: 1.
Saving Lives With Better Gestational Age Estimation
ClinicalTrials.gov study NCT02944747. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Long Term Metabolic Safety of Norditropin® Treatment of Small for Gestational Age (SGA) Subjects
ClinicalTrials.gov study NCT00787878. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Is Size of Cisterna Magna Related to the Fetal Gender and Gestational Age
ClinicalTrials.gov study NCT06139978. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.
Simplified Gestational Age Score
ClinicalTrials.gov study NCT02408783. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Breast Milk Zinc Transfer to Appropriate- and Small-for-gestational-age Bangladeshi Infants
ClinicalTrials.gov study NCT01728766. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Maternal Obesity and Small for Gestational Age Infants
ClinicalTrials.gov study NCT00371657. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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OpenNeuro
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