scholarly journals Change in prevalence of gestational diabetes and obstetric complications when applying IADPSG screening criteria in a Belgian French speaking University Hospital. A retrospective cohort study

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Elena Costa ◽  
Christine Kirckpartick ◽  
Colette Gerday ◽  
Aricia De Kempeneer ◽  
Sara Derisbourg ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Esther H. G. Park ◽  
Frances O’Brien ◽  
Fiona Seabrook ◽  
Jane Elizabeth Hirst

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.


2017 ◽  
Vol 56 (10) ◽  
pp. 1265-1271 ◽  
Author(s):  
Liisa K. Rautakorpi ◽  
Johanna M. Mäkelä ◽  
Fatemeh Seyednasrollah ◽  
Anna M. Hammais ◽  
Tarja Laitinen ◽  
...  

2019 ◽  
Author(s):  
Juan Jesus Fernández Alba ◽  
Estefania Soto Pazos ◽  
Rocio Moreno Cortes ◽  
Angel Vilar Sanchez ◽  
Carmen Gonzalez Macias ◽  
...  

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.


Author(s):  
Sumyia Mehrin M. D. Abulkalam ◽  
Mai Kadi ◽  
Mahmoud A. Gaddoury ◽  
Wallaa Khalid Albishi

Background: The association between tuberculosis (TB) and diabetes mellitus (DM) is re-emerging with the epidemic of type II diabetes. Both TB and DM were of the top 10 causes of death.[1] This study explores diabetes mellitus as a risk factor for developing the different antitubercular drug-resistant (DR) patterns among TB patients.  Methods: A retrospective cohort study has been conducted on all TB cases reported to the King Abdul Aziz University Hospital, Jeddah, between January 2012 to January 2021. All culture-confirmed and PCR-positive TB cases were included in this study. Categorical baseline characteristic of TB patient has been compared with DM status by using Fisher's exact and Pearson chi-square test. The univariable and multivariable logistic regression model was used to estimate the association between DM and different drug resistance patterns.  Results: Of the total 695 diagnosed TB patients, 92 (13.24%) are resistant to 1st line anti TB drugs. Among 92 DR-TB patients, 36 (39.13%) are diabetic. The percentage of different patterns of DR-TB with DM, in the case of mono DR (12.09%), poly DR (4.19%) MDR (0.547%). As a risk factor, DM has a significant association with DR-TB, mono drug-resistant, and pyrazinamide-resistant TB (P-value <0.05). The MDR and PDR separately do not show any significant association with DM, but for further analysis, it shows a significant association with DM when we combined.  Conclusion: Our study identified diabetes mellitus as a risk factor for developing DR-TB. Better management of DM and TB infection caring programs among DM patients might improve TB control and prevent DR-TB development in KSA.


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