Neonatal diabetes, transient (TND) or permanent (PND) is a rare disease, with a reported frequency of 1/300,000. If establishing a diagnosis is quite easy, treatment remains challenging during childhood. Understanding of physiopathology increased this last decade, as many mutations in genes playing critical roles in the development of pancreas, have been described: the most common are chromosome 6q anomalies in the case of TND, and mutations in KCNJ11 and ABCC8 genes encoding the subunit of the insulin cell potassium channel in the case of PND. We report on 2 peculiar stories: the first one is the unique case of a newborn with isodisomy of chromosome 6, methylmalonic acidemia and pancreatic beta cell agenesis, who died on the 16th day of life. The second one is the longest follow-up ever described, 38-year, of a permanent neonatal diabetes mellitus without complications, except for rare micro-aneurysms, in spite of insufficient metabolic control.
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Arch Gynecol Obstet
January 2025
Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Primary Objective: To assess the association between Epidural Analgesia (EA) during Vaginal Birth After Cesarean (VBAC) and delivery mode (spontaneous or instrumental vaginal delivery). Secondary objectives include maternal and neonatal outcomes.
Methods: In this retrospective population-based cohort study, all women who underwent a VBAC with and without EA, between the years 1996-2016 at the Soroka University Medical Center (SUMC) were included.
Purpose: To assess the association between periodontal health and pregnancy or delivery complications in type 1 diabetic (TIDM) and non-diabetic pregnant women.
Materials And Methods: 15 TIDM and 15 non-diabetic primiparous women were enrolled in the prospective case-control study. We compared periodontal status, levels of glycosylated hemoglobin (HbA1c), gestational week of birth, birth weight of a newborn and pregnancy or delivery complications between the groups.
Front Mol Biosci
January 2025
Division of Maternal and Fetal Medicine, Fundación Para la Investigación Biomédica, La Paz University Hospital, Madrid, Spain.
Introduction: Gestational diabetes mellitus (GDM) is a global health concern with significant short and long-term complications for both mother and baby. Early prediction of GDM, particularly late-onset, is crucial for implementing timely interventions to mitigate adverse outcomes. In this study, we conducted a comprehensive metabolomic analysis to explore potential biomarkers for early GDM prediction.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
PLOS Glob Public Health
January 2025
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America.
The Quality-of-Care Network (QCN), launched by WHO and partners, links global and national actors across several countries to improve maternal and newborn health. We conducted a prospective qualitative study to examine how QCN in Bangladesh, Ethiopia, Malawi and Uganda facilitated learning, sharing, and innovation within and between network countries. We conducted 227 key informant interviews with QCN actors at global, national, and facility levels iteratively in two to four rounds from June 2019 to March 2022.
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