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- Fadl, Helena, 1965-, et al.
(författare)
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Changing diagnostic criteria for gestational diabetes in Sweden-a stepped wedge national cluster randomised controlled trial-the CDC4G study protocol
- 2019
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Ingår i: Bmc Pregnancy and Childbirth. - : Springer Science and Business Media LLC. - 1471-2393. ; 19:1
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Tidskriftsartikel (refereegranskat)abstract
- Background The optimal criteria to diagnose gestational diabetes mellitus (GDM) remain contested. The Swedish National Board of Health introduced the 2013 WHO criteria in 2015 as a recommendation for initiation of treatment for hyperglycaemia during pregnancy. With variation in GDM screening and diagnostic practice across the country, it was agreed that the shift to new guidelines should be in a scientific and structured way. The aim of the Changing Diagnostic Criteria for Gestational Diabetes (CDC4G) in Sweden () is to evaluate the clinical and health economic impacts of changing diagnostic criteria for GDM in Sweden and to create a prospective cohort to compare the many long-term outcomes in mother and baby under the old and new diagnostic approaches. Methods This is a stepped wedge cluster randomised controlled trial, comparing pregnancy outcomes before and after the switch in GDM criteria across 11 centres in a randomised manner. The trial includes all pregnant women screened for GDM across the participating centres during January-December 2018, approximately two thirds of all pregnancies in Sweden in a year. Women with pre-existing diabetes will be excluded. Data will be collected through the national Swedish Pregnancy register and for follow up studies other health registers will be included. Discussion The stepped wedge RCT was chosen to be the best study design for evaluating the shift from old to new diagnostic criteria of GDM in Sweden. The national quality registers provide data on the whole pregnant population and gives a possibility for follow up studies of both mother and child. The health economic analysis from the study will give a solid evidence base for future changes in order to improve immediate pregnancy, as well as long term, outcomes for mother and child.
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- Daley, Jason R., et al.
(författare)
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Development of a deep learning algorithm for provision of a South Western Sydney diabetes retinal screening service
- 2022
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Ingår i: Clinical and Experimental Ophthalmology. - : Blackwell Publishing. - 1442-6404 .- 1442-9071. ; 49:8, s. 805-805
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Purpose: Diabetic retinopathy (DR) is highly prevalent in the multi-ethnic and low socioeconomic population of South Western Sydney. This is a significant public health burden, demanding efficient and cost-effective diabetes retinal screening. The multi-centre South Western Eye and Diabetes Deep Learning Algorithm study, supported by an Ophthalmic Research Institute of Australia grant, aims to develop and validate a novel deep learning algorithm, capable of grading DR, for a new diabetes retinal screening service. This abstract evaluates the performance of the Diabetic retinopathy OCT Open souRce Artificial Intelligence (Doctor AI©SK) program.Methods: Doctor AI analyses fundus photographs and optical coherence tomography (OCT) images simultaneously to grade diabetic retinopathy. It was trained with over 50,000 fundus photographs and 8000 OCT scans, using a combination of Australasian and publicly available datasets. As a screening tool, the algorithm's operating point was optimised for sensitivity and negative predictive value, and its performance reevaluated. Clinical validation is being undertaken in the recruited population at each study site.Results: For the detection of diabetic macula oedema from OCT images, Doctor AI achieved a 96.8% sensitivity, 98.1% specificity and 97.5% accuracy. Area under the receiver operating characteristic curve was 0.996. For the diagnosis of DR from fundus photographs, Doctor AI achieved a 90.4% sensitivity, 96.8% specificity and 88.9% accuracy. Preliminary clinical validation revealed an accuracy of 89% and 85% for the OCT and fundus photograph modules of the algorithm, respectively.Conclusion: Doctor AI is a unique deep learning algorithm capable of diagnosing DR and diabetic macula oedema with high sensitivity and accuracy.
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- de Brun, Maryam, 1991-
(författare)
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Hyperglycaemia during pregnancy : The challenge of screening and deciding diagnostic criteria for gestational diabetes in Sweden
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Hyperglycaemia during pregnancy is one of the most common complicationsof pregnancy. In 2013, the World Health Organisation recommended diagnostic criteria (WHO-2013) for gestational diabetes mellitus (GDM), whichremains controversial due to an expected increase in prevalence, and the uncertainty as to the clinical relevance of treating these additional women or its cost-effectiveness.Paper I involves a cross-sectional study of 4 918 pregnant women using riskfactor screening, which was poorly predictive of the WHO-2013 criteria, with an area under the curve of 40% (95% CI 24–32). In Paper II, a systematic review and meta-analysis of the prevalence of GDM according to the WHO2013 criteria in 136 705 women showed a 75% (RR 1.75, 95% CI 1.53-2.01) increased prevalence compared to the other GDM criteria. In Papers III-IV, a national stepped wedge cluster randomised controlled trial of 26 160 pregnancies before and 28 509 after the implementation of the WHO-2013 criteria across eight clusters during 2018 led to a 2.90 fold increase in GDM prevalence. No significant decrease was seen in the primary outcome, large for gestational age (LGA). There were, however, health benefits in secondary outcomes for the mother and neonate. There was a significant decrease in LGA dependent on the definition used, including the clinically used in Sweden (>2SD) with adjusted OR of 0.89 (95% CI 0.82-0.97). In Paper IV, the WHO2013 criteria led to increased resource use and incremental costs (€341.1 (195.9)) per pregnancy. The cost-effectiveness needs to be related to health benefits for the mother and/or neonate.In conclusion, the current screening methods for GDM are in need of revision considering their poor predictive characteristics in finding GDM according to the WHO-2013 criteria. Implementing the WHO-2013 criteria in Sweden resulted in higher GDM prevalence with short-term increased resource use with uncertainty in costs savings and considerable healthcare benefits for the mother and neonate. This thesis provides evidence regarding the consequences of implementing the WHO-2013 criteria compared to former Swedish GDM criteria and may assist future decision-making.
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- Fadl, Helena E., 1965-, et al.
(författare)
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Trends in diabetes in pregnancy in Sweden 1998-2012
- 2016
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Ingår i: BMJ Open Diabetes Research & Care. - : BMJ Publishing Group Ltd. - 2052-4897. ; 4:1
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Diabetes in pregnancy has been shown to increase in parallel with the increasing prevalence of obesity. In this national population-based study, we analyzed the trends for gestational diabetes mellitus (GDM), type 1 diabetes in pregnancy, and type 2 diabetes in pregnancy in Sweden between 1998 and 2012.Research design and methods: A population-based cohort study using the Swedish national medical birth registry data. The time periods were categorized into 3-year intervals and adjusted for maternal body mass index (BMI), ethnicity, and age in a logistic regression.Results: Each type of diabetes increased over the studied 15-year period. Type 1 diabetes increased by 33.2% (22.2-45.3) and type 2 diabetes by 111% (62.2-174.4) in the adjusted model. Nordic women had the highest prevalence of type 1 diabetes (0.47%) compared with other ethnic groups. The increase in GDM and, to a lesser extent, type 2 diabetes was explained by country of birth, BMI, and maternal age. The prevalence of GDM in Nordic women (0.7-0.8%) did not increase significantly over the time period.Conclusions: All types of diabetes in pregnancy increased over the 15-year time period in Sweden. Maternal pre-pregnancy BMI remains the key factor explaining the increase in GDM/type 2 diabetes. How to turn around the growing prevalence of diabetes in pregnancy, with its short-term and long-term health effects on both mother and child, requires population-based interventions that reduce the likelihood of entering pregnancy with a raised BMI.
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- Harreiter, Jürgen, et al.
(författare)
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Do Women with Diabetes Need More Intensive Action for Cardiovascular Reduction than Men with Diabetes?
- 2020
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Ingår i: Current Diabetes Reports. - : Springer. - 1534-4827 .- 1539-0829. ; 20:11
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Forskningsöversikt (refereegranskat)abstract
- Purpose of review: This narrative review makes the case for greater efforts to reduce cardiovascular disease (CVD) risk in women with diabetes.Recent findings: In a recent meta-analysis including five CVOTs of diabetes medications with 46,606 subjects, women (vs men) with type 2 diabetes had a higher relative risk for stroke (RR 1.28; 95% CI 1.09, 1.50) and heart failure (1.30; 1.21, 1.40). Prior studies found higher "within-gender" RR for CVD mortality in women with diabetes although men have an absolute higher risk. Women with prior gestational diabetes mellitus (GDM) have a 2-fold higher CVD risk than the background population. Worse CVD and CVD risk factor management in women, as well as lower female therapy adherence, contribute further to these disparities.Summary: The mechanism behind this excess risk includes biological, hormonal, socioeconomic, clinical, and behavioral factors that still require further investigation. The need for more intensive CVD reduction in women now includes more attention to screening for both incident diabetes and CVD risk factors among high-risk women.
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