scholarly journals Gestational diabetes associated with incident diabetes in childhood and youth: a retrospective cohort study

2019 ◽  
Vol 191 (15) ◽  
pp. E410-E417 ◽  
Author(s):  
Andrea L. Blotsky ◽  
Elham Rahme ◽  
Mourad Dahhou ◽  
Meranda Nakhla ◽  
Kaberi Dasgupta
Keyword(s):  
Cohort Study ◽  
Gestational Diabetes ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Incident Diabetes ◽  
Diabetes In Childhood ◽  
Childhood And Youth

scholarly journals Safe threshold of capillary blood glucose for predicting early future neonatal hypoglycaemia in babies born to mothers with gestational diabetes mellitus, an observational, retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Esther H. G. Park ◽  
Frances O’Brien ◽  
Fiona Seabrook ◽  
Jane Elizabeth Hirst
Keyword(s):  
Diabetes Mellitus ◽  
Cohort Study ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Capillary Blood ◽  
Capillary Blood Glucose ◽  
Neonatal Hypoglycaemia

Abstract Background There is increasing pressure to get women and babies home rapidly after birth. Babies born to mothers with gestational diabetes mellitus (GDM) currently get 24-h inpatient monitoring. We investigated whether a low-risk group of babies born to mothers with GDM could be defined for shorter inpatient hypoglycaemia monitoring. Methods Observational, retrospective cohort study conducted in a tertiary maternity hospital in 2018. Singleton, term babies born to women with GDM and no other risk factors for hypoglycaemia, were included. Capillary blood glucose (BG) testing and clinical observations for signs of hypoglycaemia during the first 24-h after birth. BG was checked in all babies before the second feed. Subsequent testing occurred if the first result was < 2.0 mmol/L, or clinical suspicion developed for hypoglycaemia. Neonatal hypoglycaemia, defined as either capillary or venous glucose ≤ 2.0 mmol/L and/or clinical signs of neonatal hypoglycaemia requiring oral or intravenous dextrose (lethargy, abnormal feeding behaviour or seizures). Results Fifteen of 106 babies developed hypoglycaemia within the first 24-h. Maternal and neonatal characteristics were not predictive. All babies with hypoglycaemia had an initial capillary BG ≤ 2.6 mmol/L (Area under the ROC curve (AUC) 0.96, 95% Confidence Interval (CI) 0.91–1.0). This result was validated on a further 65 babies, of whom 10 developed hypoglycaemia, in the first 24-h of life. Conclusion Using the 2.6 mmol/L threshold, extended monitoring as an inpatient could have been avoided for 60% of babies in this study. Whilst prospective validation is needed, this approach could help tailor postnatal care plans for babies born to mothers with GDM.

scholarly journals “INTERGROWTH21st vs customized fetal growth curves in the assessment of the neonatal nutritional status: a retrospective cohort study of gestational diabetes”

2019 ◽  
Author(s):  
Juan Jesus Fernández Alba ◽  
Estefania Soto Pazos ◽  
Rocio Moreno Cortes ◽  
Angel Vilar Sanchez ◽  
Carmen Gonzalez Macias ◽  
...  
Keyword(s):  
Cohort Study ◽  
Gestational Diabetes ◽  
Nutritional Status ◽  
Positive Predictive Value ◽  
Pregnant Women ◽  
Fetal Growth ◽  
Retrospective Cohort Study ◽  
Predictive Value ◽  
Retrospective Cohort ◽  
Growth Curves

Abstract Background Gestational diabetes mellitus is associated with increased incidence of adverse perinatal outcomes including newborns large for gestational age, macrosomia, preeclampsia, polihydramnios, stillbirth, and neonatal morbidity. Thus, fetal growth should be monitored by ultrasound to limit fetal overnutrition, and thereby, its clinical consequence, macrosomia. However, it is not clear which reference curve to use to define the limits of normality. Our aim is to determine which method, INTERGROWTH21st or customized curves, better identifies the nutritional status of newborns of diabetic mothers.Methods This retrospective cohort study compared the risk of malnutrition in SGA newborns and the risk of overnutrition in LGA newborns using INTERGROWTH21st and customized birth weight references in gestational diabetes. Additionally, to determine the ability of both methods in the identification of neonatal malnutrition and overnutrition, we calculate sensitivity, specificity, positive predictive value, negative predictive value and likelihood ratios.Results 231 pregnant women with GDM were included in the study. The rate of SGA indentified by INTERGROWTH21st was 4.7% vs 10.7% identified by the customized curves. The rate of LGA identified by INTERGROWT21st was 25.6% vs 13.2% identified by the customized method. Newborns identified as SGA by the customized method showed a higher risk of malnutrition than those identified as SGA by INTERGROWTH21st.(RR 4.24 vs 2.5). LGA newborns according to the customized method also showed a higher risk of overnutrition than those classified as LGA according to INTERGROWTH21st. (RR 5.26 vs 3.57). In addition, the positive predictive value of the customized method was superior to that of INTERGROWTH21st in the identification of malnutrition (32% vs 27.27%), severe malnutrition (22.73% vs 20%), overnutrition (51.61% vs 32.20%) and severe overnutrition (28.57% vs 14.89%).Conclusions In pregnant women with GDM, the ability of customized fetal growth curves to identify the newborns with alterations in nutritional status exceeds that of INTERGROWTH21st.

Effect of lactation on the recurrence rate of gestational diabetes mellitus: a retrospective cohort study

2020 ◽  
Vol 301 (4) ◽  
pp. 973-979 ◽  
Author(s):  
Sivan Zuarez-Easton ◽  
Ilanit Berkovich ◽  
Daphna Birenbaum-Carmeli ◽  
Alon Tal ◽  
Raja Zoabi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Cohort Study ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Recurrence Rate ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort

Use of Statins and the Risk of Incident Diabetes: A Retrospective Cohort Study

2016 ◽  
Vol 16 (5) ◽  
pp. 377-390 ◽  
Author(s):  
Busuyi S. Olotu ◽  
Marvin D. Shepherd ◽  
Suzanne Novak ◽  
Kenneth A. Lawson ◽  
James P. Wilson ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Incident Diabetes
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