Medical Management of GDM – following the evidence on “Changing Patterns in Medication Prescription for Gestational Diabetes During a Time of Guideline Change in the USA: A Cross‐sectional Study”

Author(s):  
Aaron B. Caughey
2021 ◽  
Vol 3 (3) ◽  
pp. e148-e157 ◽  
Author(s):  
Benjamin Rader ◽  
Laura F White ◽  
Michael R Burns ◽  
Jack Chen ◽  
Joseph Brilliant ◽  
...  

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Gisele Seabra ◽  
Cláudia Saunders ◽  
Patrícia de Carvalho Padilha ◽  
Lenita Zajdenverg ◽  
Letícia Barbosa Gabriel da Silva ◽  
...  

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz

Gestational diabetes mellitus (GDM) is a common complication with negative impacts on mother and child. The primary aim of this study was to examine whether plasma glucose cutoffs for GDM diagnosis based on venous sampling can be replaced by cutoffs based on capillary sampling. A prospective cross-sectional study was performed at an antenatal care clinic including 175 pregnant women undergoing an oral glucose tolerance test (OGTT). Duplicate samples were collected by capillary and venous puncture while fasting and 1 h and 2 h after an OGTT. Both samples were analyzed on Accu-Chek Inform II. The cutoffs for a GDM diagnosis using capillary samples were corrected from 5.1 to 5.3 mmol/L for the fasting sample, from 10.0 to 11.1 mmol/L for the 1 h sample, and from 8.5 to 9.4 mmol/L for the 2-h sample using half of the dataset. Applying these cutoffs to the remaining dataset resulted in a sensitivity, specificity, and accuracy of 85.0%, 95.0%, and 90.3%, respectively, with a positive predictive value (PPV) of 83%, an negative predictive value (NPV) of 96%, and a positive negative likelihood ratio (LHR) of 16.4 using capillary sampling for the GDM diagnosis at fasting and 2-h after. Corrected cutoffs and capillary samples can be used for the diagnosis of GDM with maintained diagnostic accuracy using Accu-Chek Inform II.


2019 ◽  
Vol 29 (1) ◽  
pp. 74-80 ◽  
Author(s):  
Andrea H Weinberger ◽  
Lauren R Pacek ◽  
Melanie M Wall ◽  
Misato Gbedemah ◽  
Joun Lee ◽  
...  

BackgroundThe prevalence of cigarette smoking is nearly three times higher among persons who use cannabis and have cannabis use disorders (CUDs), relative to those who do not. The current study examined cigarette quit ratios from 2002 to 2016 among US adults with and without cannabis use and CUDs.MethodsThe current study analysed US adults aged 18 years and older from the National Survey on Drug Use and Health, an annual cross-sectional study. Quit ratios (ie, proportion of former smokers among ever-smokers) were calculated annually from 2002 to 2016. Time trends in quit ratios by cannabis use/CUDs were tested using logistic regression.ResultsIn 2016, the quit ratios for people with any cannabis use (23%) and CUDs (15%) were less than half the quit ratios of those without cannabis use and CUDs (51% and 48%, respectively). After controlling for demographics and substance use disorders, the quit ratio did not change from 2002 to 2016 among persons with CUD, though it non-linearly increased among persons with cannabis use, without cannabis use and without CUDs. Quit ratios increased more rapidly among those who reported past-month cannabis use compared with those without past-month cannabis use.ConclusionsCigarette smoking quit ratios remain dramatically lower among people who use cannabis and have CUDs and quit ratios did not change significantly from 2002 to 2016 among those with CUDs. Public health and clinical attention are needed to increase quit ratios and reduce harmful cigarette smoking consequences for persons with cannabis use and CUDs.


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