A Qualitative Exploration of Participant Experiences in the Avoiding Diabetes After Pregnancy Trial in Moms (ADAPT-M).

OBJECTIVES: Gestational diabetes mellitus (GDM), a temporary condition of pregnancy, identifies women at high risk of developing subsequent type 2 diabetes mellitus (T2D). Lifestyle interventions have been shown to reduce the risk of developing T2D after GDM. However, they often have low attendance and adherence rates. The Avoiding Diabetes After Pregnancy Trial in Moms (ADAPT-M) is a 24-week home-based postpartum program aimed at bridging the gap from prenatal care to T2D prevention for women with GDM. Our objective was to explore the experiences of participants who completed the ADAPT-M program, to elicit their perceived benefits and opportunities for improvement. METHODS: This was a qualitative descriptive study wherein we conducted semistructured interviews with 21 women with previous GDM who participated in the ADAPT-M program in Ontario, Canada. Transcripts were analyzed using NVivo software using a conventional content analysis approach. RESULTS: Two themes describing the experience of women who underwent the ADAPT-M lifestyle-based coaching program emerged: 1) the benefits of a supportive relationship between coaches and participants; and 2) a desire for more from the program, including peer support, more customization, and addressing emotional needs. CONCLUSIONS: Our findings support the importance of fostering supportive health-care relationships in T2D prevention programs for postpartum women with a history of GDM. Enhanced customization, emotional support, and opportunities for peer support should be considered in the development of future programming to better meet the needs of participants.

Impact of Antenatal Care Modifications on Gestational Diabetes Outcomes During the COVID-19 Pandemic.

BACKGROUND: Many of the adverse outcomes of gestational diabetes mellitus (GDM) are linked to excessive fetal growth, which is strongly mediated by the adequacy of maternal glycemic management. The COVID-19 pandemic led to a rapid adoption of virtual care models. We aimed to compare glycemic management, fetal growth, and perinatal outcomes before and during the COVID-19 pandemic. METHODS: A retrospective cohort study was conducted between 2017 and 2020. Singleton pregnancies complicated by GDM were included in the study. The cohort was stratified into "before" and "during" COVID-19 subgroups, using March 11, 2020, as the demarcation time point. Women who began their GDM follow-up starting March 11, 2020, and thereafter were allocated to the COVID-19 era, whereas women who delivered before the demarcation point served as the pre-COVID-19 era. The primary outcome was the rate of large-for-gestational-age (LGA) neonates. Secondary outcomes included select maternal and neonatal adverse outcomes. RESULTS: Seven hundred seventy-five women were included in the analysis, of which 187 (24.13%) were followed during the COVID-19 era and 588 (75.87%) before the COVID-19 era. One hundred seventy-one of the 187 women (91.44%) followed during COVID-19 had at least 1 virtual follow-up visit. No virtual follow-up visits occurred before the COVID-19 era. There was no difference in the rate of LGA neonates between groups on both univariate (5.90% vs 7.30%, p=0.5) and multivariate analyses, controlling for age, ethnicity, parity, body mass index, gestational weight gain, chronic hypertension, smoking, and hypertensive disorders in pregnancy (adjusted odds ratio [aOR] 1.11, 95% confidence interval [CI] 0.49 to 2.51, p=0.80). In the multivariate analysis, there was no difference in composite neonatal outcome between groups (GDM diet: aOR 1.40, 95% CI 0.81 to 2.43, p=0.23; GDM medical treatment: aOR 1.20, 95% CI 0.63 to 2.43, p=0.5). CONCLUSIONS: After adjusting for differences in baseline variables, the combined virtual mode of care was not associated with a higher rate of LGA neonates or other adverse perinatal outcomes in women with GDM. Larger studies are needed to better understand the specific impact of virtual care on less common outcomes in pregnancies with GDM.

Risk of Breast Cancer After Diabetes in Pregnancy: A Population-based Cohort Study.

OBJECTIVES: Diabetes is associated with an increased risk of several cancers, including postmenopausal breast cancer. The evidence for higher breast cancer risk after diabetes in pregnancy is conflicting. We compared the incidence of breast and other cancers between pregnant women with and without diabetes. METHODS: This work was a propensity-matched, retrospective cohort study using population-based health-care databases from Ontario, Canada. Those deliveries with gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (pregestational DM) were identified and matched to deliveries without diabetes mellitus (non-DM). Deliveries from each diabetes cohort were matched 1:2 on age, parity, year of delivery, and propensity score to non-DM deliveries. Matched subjects were followed from delivery for incidence of breast cancer as a primary outcome, and other site-specific cancers as secondary outcomes. We performed Cox proportional hazards regression to compare rates of breast cancer between matched groups. RESULTS: Over a median of 8 (interquartile range 4 to 13) years of follow-up, compared with non-DM deliveries, the incidence of breast cancer was significantly lower for GDM but similar for pregestational DM deliveries (hazard ratio [HR] 0.90, 95% confidence interval [CI] 0.82 to 0.98; and HR 0.92, 95% CI 0.80 to 1.07, respectively). GDM was associated with a significantly higher incidence of pancreatic and hepatocellular cancer, and pregestational DM was associated with a higher incidence of thyroid, hepatocellular, and endometrial cancers. CONCLUSIONS: Diabetes in pregnancy does not have a higher short-term risk of subsequent breast cancer, but there may be a higher incidence of other cancers.

Temporal Trends in Type 1, Type 2, and Gestational Diabetes in Pregnancy: Impact of Rural Residence, Ethnicity, and Material Deprivation.

OBJECTIVE: Our aim in this study was to implement a newly validated algorithm to identify pregnant women with type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), and gestational diabetes mellitus (GDM), and to identify temporal trends in rates over the last decade. We also compared obstetric and neonatal outcomes of pregnancies with and without diabetes mellitus (DM). METHODS: Among women with live births between 2005 and 2018 in Alberta, we calculated yearly rates of T1DM, T2DM, and GDM, overall, and stratified by ethnicity, urban or rural residence, material deprivation score, and maternal age. RESULTS: Between 2005 and 2018, GDM rates increased from 42.3 to 101.8 per 1,000 deliveries (p<0.0001), T2DM rates increased from 2.6 to 6.4 per 1,000 deliveries (p<0.0001), whereas T1DM remained constant at 3.0 per 1,000 deliveries each year (p=0.4301). Higher GDM and T2DM rates were observed among Chinese and South Asian women, respectively, and among women who were materially deprived and living in urban areas. Women with T2DM were older and had the highest rates of pre-existing hypertension (16%). In contrast, women with T1DM were younger and had the highest rates of gestational hypertension (12%), pre-eclampsia (12%), and cesarean section deliveries (62%). Children of women with T1DM had the highest rates of large for gestational age (46%), neonatal hypoglycemia (41.1%), respiratory distress syndrome (7.7%), and jaundice (29.3%). CONCLUSIONS: Diabetes-in-pregnancy rates have more than doubled over the last decade, driven primarily by increases in GDM and T2DM. These trends may have significant implications for the future health of mothers and children in Alberta.

Validity of Alternative Claims-based Algorithms for Type 1, Type 2, and Gestational Diabetes in Pregnancy.

OBJECTIVE: Our aim in this study was to evaluate the accuracy of alternative algorithms for identifying pre-existing type 1 or 2 diabetes (T1DM or T2DM) and gestational diabetes mellitus (GDM) in pregnant women. METHODS: Data from a clinical registry of pregnant women presenting to an Edmonton diabetes clinic between 2002 and 2009 were linked and administrative health records. Three algorithms for identifying women with T1DM, T2DM, and GDM based on International Classification of Diseases---tenth revision (ICD-10) codes were assessed: delivery hospitalization records (Algorithm #1), outpatient clinics during pregnancy (Algorithm #2), and delivery hospitalization plus outpatient clinics during pregnancy (Algorithm #3). In a subset of women with clinic visits between 2005 and 2009, we examined the performance of an additional Algorithm #4 based on Algorithm #3 plus outpatient clinics in the 2 years before pregnancy. Using the diabetes clinical registry as the "gold standard," we calculated true positive rates and agreement levels for the algorithms. RESULTS: The clinical registry included data on 928 pregnancies, of which 90 were T1DM, 89 were T2DM, and 749 were GDM. Algorithm #3 had the highest true positive rate for the detection of T1DM, T2DM, and GDM of 94%, 72%, and 99.9%, respectively, resulting in an overall agreement of 97% in diagnosis between the administrative databases and the clinical registry. Algorithm #4 did not provide much improvement over Algorithm #3 in overall agreement. CONCLUSIONS: An algorithm based on ICD-10 codes in the delivery hospitalization and outpatient clinic records during pregnancy can be used to accurately identify women with T1DM, T2DM, and GDM.

The Contribution of Gestational Diabetes to Diabetes Risk Among First Nations and Non-First Nations Women in Saskatchewan: Results From the DIP: ORRIIGENSS Project.

OBJECTIVES: Our aim in this study was to determine the risk for diabetes mellitus (DM) among Saskatchewan First Nations (FN) and non-FN women with prior gestational DM (GDM). METHODS: Using Ministry of Health administrative databases, we conducted a retrospective cohort study of DM risk by GDM occurrence among FN and non-FN women giving birth from 1980 to 2009 and followed to March 31, 2013. We determined frequencies and odds ratios (ORs) of DM in women with/without prior GDM after stratifying by FN status, while adjusting for other DM determinants. Survival curves of women until DM diagnosis were obtained by prior GDM occurrence and stratified by ethnicity and total parity. RESULTS: De-identified data were obtained for 202,588 women. Of those who developed DM, 2,074 of 10,114 (20.5%) had previously experienced GDM (811 of 3,128 [25.9%]) FN and 1,263 of 6,986 [18.1%] non-FN). Cumulative survival of women with prior GDM until DM was higher for FN than for non-FN women (82% vs 46%), but prior GDM was a stronger predictor of DM within the non-FN cohort (prior GDM vs no GDM: OR, 9.64 for non-FN; OR, 7.05 for FN). Finally, higher total parity interacted with prior GDM to increase DM risk in both groups. With prior GDM and parity ≥3, 93% of FN and 57% of non-FN women subsequently developed DM. CONCLUSIONS: GDM is a leading determinant of T2DM among FN and non-FN women, amplified by higher parity. This contributes to earlier onset diabetes, affecting subsequent pregnancies and increasing risk for chronic diabetic complications. It may also factor into higher type 2 DM rates observed in FN women compared with men.

An Evaluation of Virtual Care for Gestational Diabetes Using the Quadruple Aim Framework: Assessment of Patient and Provider Experience, Cost, and Clinical Outcomes.

OBJECTIVE: Our aim in this study was to evaluate the impact of virtual care for gestational diabetes mellitus (GDM) in the context of the COVID-19 pandemic. METHODS: This multiple methods program evaluation used the Quadruple Aim Framework. The impact on patient experience, cost, and provider satisfaction was assessed using surveys and interviews. Chi-square and Poisson statistics were used to compare clinical outcomes before (April 2019 to February 2020) and after (May 2020 to March 2021) the shift to virtual care. RESULTS: Patient experience surveys were completed by 85 women. Most of them rated their virtual care experience as good or excellent (93%), with a preference for continued virtual visits in the future (84%). Most respondents felt virtual care saved them money (93%) and time (98%). Six health-care providers at the Diabetes in Pregnancy Clinic were interviewed and all believed the switch to virtual care was largely positive. Overall, interview transcripts revealed that health-care providers were happy with the transition, although nurses initially perceived an increased workload. There were no significant differences in rates of cesarean section procedures, macrosomia, neonatal intensive care unit admissions or the proportion of appointments at which insulin was initiated between in-person and virtual care patient outcomes. There was a decreased proportion of missed appointments after the switch to virtual care (6.15% vs 1.21%, p<0.0001). CONCLUSIONS: There has been high patient and provider satisfaction with virtual GDM care, with no difference in clinical outcomes and fewer missed appointments. Virtual GDM care should remain an option in the future.

Validation of Algorithms to Identify Gestational Diabetes From Population-level Health-care Administrative Data.

OBJECTIVES: Our aim in this study was to determine the test characteristics of algorithms using hospitalization and physician claims data to predict gestational diabetes (GDM). METHODS: Using population-level health-care administrative data, we identified all pregnant women in Ontario in 2019. The presence of GDM was determined based on glucose screening laboratory results. Algorithms using hospitalization records and/or physician claims were tested against this "gold standard." The selected algorithm was applied to administrative data records from 1999 to 2019 to determine GDM prevalence in each year. RESULTS: Identifying GDM based on either a diabetes mellitus code on the delivery hospitalization record, OR at least 1 physician claim with a diabetes diagnosis code with a 90-day lookback before delivery yielded a sensitivity of 95.9%, a specificity of 99.2% and a positive predictive value of 87.6%. The prevalence of GDM increased from 4.2% of pregnancies in 1999 to 12.0% in 2019. CONCLUSION: Algorithms using hospitalization or physician claims administrative data can accurately identify GDM.

Effects of High-dose Folic Acid Supplementation on Maternal/Child Health Outcomes: Gestational Diabetes Mellitus in Pregnancy and Insulin Resistance in Offspring.

OBJECTIVES: The purpose of this study was to evaluate the effects of maternal high folic acid (FA) supplementation during pregnancy on glucose intolerance in dams and insulin resistance in offspring. METHODS: Wistar female rats (n=18) were mated and randomly divided into 3 groups: a control group and 2 experimental groups. Three different feeding protocols were administered during pregnancy: control group, 2 mg/kg FA (recommended level FA supplementation); experimental 1 group, 5 mg/kg FA (tolerable upper intake level of FA supplementation [ULFolS]); and experimental 2 group, 40 mg/kg FA (high FA supplementation [HfolS]). All dams were fed the same FA content diet (2 mg/kg FA) during the lactation period. An oral glucose tolerance test was performed on day 16 of pregnancy. After the lactation period, body weight and food intake of 36 pups were monitored. Dams were euthanized at the end of the lactation period and half of the pups were euthanized at the end of week 7 and the others at the end of week 12. Serum FA, homocysteine, vitamin B12, insulin, glucose, interleukin-6, tumor necrosis factor-alpha, glycated hemoglobin (A1C), and adiponectin levels of mothers and pups were evaluated. The homeostatic model of insulin resistance (HOMA-IR) was used to determine insulin resistance in dams and offspring. RESULTS: According to glucose tolerance test results of dams, blood glucose values at minutes 0, 60, 90, and 120 for the HFolS group were significantly higher compared with the control group (p<0.05). The A1C level in HFolS dams was significantly higher than in the control group (p<0.05). The mean birthweight of the pups in the HFolS group was significantly higher than that of control pups (p<0.05). HOMA-IR values for control and HFolS offspring were similar at weeks 7 and 12 and higher than in ULFolS offspring (p>0.05). CONCLUSIONS: It was determined that high doses of FA exposure during pregnancy might be effective in the development of glucose intolerance in dams and insulin resistance in offspring in this study.

Patient-reported Benefits and Limitations of Mobile Health Technologies for Diabetes in Pregnancy: A Scoping Review.

OBJECTIVES: For women with pre-existing and gestational diabetes, pregnancy involves specialized and intensive medical care to optimize maternal and infant outcomes. Medical management for patients with diabetes in pregnancy typically occurs via frequent face-to-face outpatient appointments. COVID-19-induced barriers to face-to-face care have identified the need for high-quality, patient-centred virtual health-care modalities, such as mobile health (mHealth) technologies. Our aim in this review was to identify the patient-reported benefits and limitations of mHealth technologies among women with diabetes in pregnancy. We also aimed to determine how the women's experiences aligned with the best practice standards for patient-centred communication. METHODS: The framework presented by Arksey and O'Malley for conducting scoping reviews, with refinements by Levac et al, was used to guide this review. Relevant studies were identified through comprehensive database searches of MEDLINE, Embase, Emcare and PsycINFO. Thomas and Harden's methods for the thematic synthesis of qualitative research in systematic reviews guided the synthesis of patient-reported benefits and limitations of mHealth technology. RESULTS: Overall, 19 studies describing the use of 16 unique mHealth technologies among 742 women were included in the final review. Patient-reported benefits of mHealth included convenience, support of psychosocial well-being and facilitation of diabetes self-management. Patient-reported limitations included lack of important technological features, perceived burdensome aspects of mHealth and lack of trust in virtual health care. CONCLUSIONS: Women with diabetes report some benefits from mHealth use during pregnancy. Codesigning future technologies with end users may help address the perceived limitations and effectiveness of mHealth technologies.

Breastfeeding Rates and Related Factors at 1 Year Postpartum in Women With Gestational Diabetes Initially Recruited for a Diabetes Prevention Program.

OBJECTIVES: Our aim in this study was to evaluate breastfeeding up to 1 year postpartum and factors related to weaning in women with recent gestational diabetes mellitus (GDM). METHODS: We assembled a cohort study of women with GDM enrolled in prenatal clinics of the Brazilian National Health System as possible candidates for the Lifestyle Intervention for Diabetes Prevention After Pregnancy (LINDA-Brasil) postpartum trial (N=2,220). Sociodemographics and clinical and nutritional information, including breastfeeding, were obtained by interview or chart review. Follow-up by telephone was done at specific intervals during the first year postpartum. RESULTS: The probability of breastfeeding at 1 year postpartum, estimated from Kaplan-Meier survival analysis, was 53.5%. Cox regression models showed increased risk of weaning for those introducing milk or formula before 6 months (hazard ratio [HR], 2.55; 95% confidence interval [CI], 2.10 to 3.09); reporting problems in breastfeeding (HR, 1.49; 95% CI, 1.22 to 1.82); being Caucasian (HR, 1.46; 95% CI, 1.21 to 1.76); smoking during pregnancy (HR, 1.68; 95% CI, 1.28 to 2.20); and living in 2 southern cities of Brazil (HR, 1.58; 95% CI, 1.16 to 2.16; and HR, 1.76; 95% CI, 1.20 to 2.58). CONCLUSIONS: About half of the women with GDM ceased breastfeeding before 1 year postpartum, a rate matching that of the general population in Brazil. The main risk factor was not exclusively breastfeeding up to 6 months. Given the possibility of curbing diabetes risk by maintaining longer breastfeeding, further promotion of exclusive breastfeeding up to 6 months for these high-risk women is much needed.

[Prevalence and complications of gestational diabetes in women followed in Parakou maternities]. / Prévalence et complications du diabète gestationnel chez les femmes suivies dans les maternités de Parakou.

INTRODUCTION: The study was initiated to determine the prevalence and the complications of gestational diabetes in women attending Parakou maternities clinics in 2015. METHODS: This study was longitudinal, descriptive and analytical. The study population consists of women with gestational diabetes in Parakou maternities wards. The gestational diabetes was screened by the oral glucose tolerance test. The outcome of pregnancy was appreciated by the search for complications during pregnancy. Glycemic control was achieved in women 6 weeks after delivery. The data were analyzed using EPI-INFO 3.1 Fr. RESULTS: Of the 151 pregnant women who did the screening, 19 had a gestational diabetes; a prevalence of 12.6%. Pregnant women with gestational diabetes were at increased fetal macrosomia, hydramnios, macrosomia at birth, high birth weight of newborns compared to women without gestational diabetes (p<0,01). The maternal complications did not observed. The postprandial delivery blood glucose of women with gestational diabetes was normal. CONCLUSION: The gestational diabetes is associated with complications of pregnancy. Routine screening of women at risk for adequate management is necessary.

INTRODUCTION: L'étude a été initiée afin de déterminer la prévalence et les complications du diabète gestationnel (DG) chez les femmes suivies dans les maternités de Parakou en 2015. MÉTHODES: L'étude a été longitudinale, descriptive et analytique. La population d'étude est constituée des femmes souffrant de diabète gestationnel (DG) dans les maternités de Parakou. Le DG a été dépisté par l'épreuve d'hyperglycémie provoquée par voie orale. L'issue de la grossesse a été appréciée par la recherche de complications au cours de la grossesse. Un contrôle glycémique a été réalisé chez les femmes 6 semaines après l'accouchement. L'analyse des données a été faite par le logiciel EPI Data 3.1fr. RÉSULTATS: Parmi les 151 gestantes qui ont réalisé le dépistage, 19 ont un DG soit une prévalence de 12,6%. Les gestantes ayant un DG avaient plus de risque de macrosomie fœtale suspectée à l'échographie, d'hydramnios, de macrosomie à la naissance, de poids de naissance élevé des nouveaux-nés comparativement aux femmes n'ayant pas un diabète gestationnel (p<0,01). Il n'y avait pas de complications maternelles. La glycémie post prandiale du post partum des femmes ayant un DG était normale. CONCLUSION: Le DG est associé à des complications de la grossesse. Un dépistage systématique chez les femmes à risque en vue d'une prise en charge adéquate est nécessaire.

Greater Nutritional Risk Scores in 2-Year-Old Children Exposed to Gestational Diabetes Mellitus In Utero and Their Relationship to Homeostasis Model Assessment for Insulin Resistance at Age 5 Years.

OBJECTIVES: Exposure to gestational diabetes mellitus (GDM) in utero may impact nutritional intake and lifestyle habits in early childhood. However, it is unclear whether nutritional status predicts greater risk for metabolic disturbances, such as insulin resistance (IR). The primary objectives were: 1) to determine parent-reported nutritional risk scores in 2-year-old children born to women with and without GDM and 2) to assess whether these scores predict IR in 5-year-old children. METHODS: Children exposed (n=34) and unexposed (n=46) to GDM were screened at 2 years of age using the Toddler version of the Nutrition Screening Tool for Every Preschooler (NutriSTEP). At a 5-year follow up, IR was assessed using the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR). RESULTS: Total NutriSTEP scores ranged from 6 to 33, with higher scores indicating greater risk. After controlling for infant birthweight, sex of the child, child ethnicity, maternal age at time of pregnancy, breastfeeding status and maternal prepregnancy body mass index, average NutriSTEP scores were higher in children exposed to GDM compared with those unexposed (13.8±1.1 vs 11.2±1.1, p=0.03). NutriSTEP scores at 2 years emerged as a positive independent predictor of HOMA-IR at 5 years. For each unit increase in NutriSTEP score, suggesting greater nutritional risk, we saw a 0.48 (95% confidence interval, 0.17 to 0.80; p=0.003) increase in score on the HOMA-IR. CONCLUSIONS: Parent-reported nutritional risk is greater in GDM-exposed children, and these nutritional behaviours developed during the first years of life may predispose to metabolic disturbance in early childhood.

Barriers to, and Facilitators of, Lifestyle Changes to Prevent Gestational Diabetes: An Interpretive Description of South Asian Women and Health-Care Providers Living and Working in Southern Ontario, Canada.

OBJECTIVES: People of South Asian ancestry are the fastest growing non-Caucasian ethnic group in Canada and are at high risk for developing type 2 diabetes and coronary heart disease. Pregnant South Asian women have a 2-fold increased risk of developing gestational diabetes, which increases their risk of type 2 diabetes and coronary heart disease. The specific objectives of this study were to explore the perceptions of health behaviours (diet and physical activity) during pregnancy in the South Asian community. METHODS: We used interpretive description to further understand the cultural and contextual factors that influence the knowledge, attitudes and practices of diet and physical activity of South Asian women of childbearing age and those who provide health care to this group. RESULTS: Two major themes that emerged from the perspectives of 10 South Asian pregnant women included: (1) importance of considering an individual's locus of control; and (2) support (emotional and information exchange) from family, friends and health-care providers. Two major themes identified by the 11 health-care providers were: (1) cultural awareness in caring for South Asian women during pregnancy; and (2) clinic management, logistics and resources. A common theme for both South Asian pregnant women and health-care providers was the importance of considering the cultural landscape in relation to how knowledge is obtained, shared and valued. CONCLUSION: A better understanding of these cultural underpinnings may support the development of interventions tailored for pregnant South Asian women and their health-care providers.

Congenital Anomalies of the Kidney and Urinary Tract (CAKUT): An Emerging Relationship With Pregestational Diabetes Mellitus Among First Nations and Non-First Nations People in Saskatchewan-Results From the DIP: ORRIIGENSS Project.

OBJECTIVES: Because congenital anomalies of the kidneys and urinary tract (CAKUT) represent a frequent cause of end stage renal disease (ESRD) in the young, we explored the epidemiology of CAKUT and the role of diabetes in pregnancy. METHODS: This was a retrospective cohort study of CAKUT, by maternal diabetes status, from among all 1980‒2009 births in Saskatchewan First Nations (FN) and non-First Nations (non-FN) people. We determined frequencies, predictors and complications of CAKUT, as well as cumulative survival (to 2014) of affected persons until ESRD and death. RESULTS: Of the 411,055 babies (204,167 mothers) in the Saskatchewan maternal-infant database, 2,540 had CAKUT (391 FN and 2,149 non-FN). Overall annual CAKUT incidence was 0.63% for non-FN and 0.57% for FN (p=0.082), but 5-year CAKUT incidence only increased among FN (0.40% in 1980‒1984 and 0.76% in 2005‒2009, p<0.0001) and was highest among offspring of FN mothers with pregestational diabetes (pre-G/DM) (0% before 1995, 2.51% in 2000‒2004 and 1.66% in 2005-2009). Pre-G/DM, but not gestational diabetes mellitus (GDM), was an independent predictor of CAKUT in non-FN (odds ratio, 1.79; 95% confidence interval, 1.20 to 2.69), and in FN interacting with maternal history of stillbirth (odds ratio, 7.90; 95% confidence interval, 1.14 to 54.6). ESRD was >100-fold more likely among offspring with CAKUT compared with all other offspring and was responsible for 40% of ESRD cases in young FN and non-FN people. CONCLUSIONS: In Saskatchewan, pre-G/DM is an emerging cause of CAKUT, accounting for 40% of ESRD cases in FN/non-FN children and young adults. Because pre-G/DM‒related CAKUT is potentially preventable with optimal glycemic management, increased recognition of this serious complication is required.

Diabète gestationnel (DG) en consultation prénatale: dépistage systématique dans un centre de sante urbain de Conakry / Gestational Diabetes in Antenatal Consultation: Systematic Screening In an Urban Health Center of Conakry

Contexte. Pathologie obstétricale fréquente en Guinée, souvent de découverte fortuite, car il n'y a pas de dépistage systématique. L'objectif : était de déterminer la prévalence du diabète gestationnel (DG) en consultation prénatale dans un centre de santé urbain de la ville de Conakry. Méthodes. Il s'agissait d'une étude prospective de type descriptif et analytique Elle a été menée au centre de santéde Koulewondy du 1er novembre 2019 au 29février 2020. Le dépistage était proposé à toutes les femmes enceintes entre 24 et 27 SA. Les comparaisons statistiques étaient à l'aide du test Chi2. Les différences étaient considérées signifi catives pour p<0,05. Résultats.Le passage du dépistage ciblé sur les facteurs de risques à un dépistage systématique a permis d'avoir une prévalence du diabète gestationnel en Consultation Prénatale Recentrée (CPNR) de 16,78% dans notre série. Le profi l épidémiologique était celui d'une gestante ménagère sans niveau instruction, mariée et dont l'âge moyen était de : 28,7± 6,5 ans, la parité moyenne était de : 2,11± 1,9 accouchements , l'âge gestationnel moyen était de 27,1± 5,6 SA , la valeur prédictive positive du test de dépistage en fonction des facteurs de risque était de 32,6% et la sensibilité 0,157. Conclusion. Le dépistage demeure le meilleur moyen de prévention.

Association Between Gestational Diabetes and Mental Illness.

The rates of both gestational diabetes mellitus (GDM) and mental illness in pregnancy are rising. There is an association between type 2 diabetes and major depressive disorder, anxiety and schizophrenia, thus there is a need for greater understanding of the relationship between GDM and mental illness. This review suggests that there is a bidirectional and complex relationship between antenatal depression, gestational diabetes and postpartum depression. The combined effect of both a history of depression and gestational diabetes significantly increases the risk of postpartum depression. There is an association between severe mental illness and GDM; however, it is strongly mediated by antipsychotic medications and psychosocial factors, in addition to the disease itself. Medication has a major role in treating mental illness during pregnancy and is not directly linked with GDM in either depression or psychosis. Health-care providers should be mindful of the association between GDM and mental illness to appropriately screen and treat both disorders.

Cycling reduces blood glucose excursions after an oral glucose tolerance test in pregnant women: a randomized crossover trial.

The aim of this study was to evaluate the effect of an acute bout of cycling immediately after oral glucose intake on glucose metabolism in pregnant women at risk for gestational diabetes mellitus (GDM). Fifteen pregnant women with BMI ≥ 27 kg/m2 were enrolled in a randomized crossover controlled study and underwent two oral glucose tolerance tests (OGTTs) ingesting 75 g of glucose followed by either 20 min of stationary cycling at moderate intensity (65%-75% maximal heart rate) or rest. Using continuous glucose monitors, glucose was measured up to 48 h after the OGTT. Glucose, insulin, and C-peptide were determined at baseline and after 1 and 2 h. One hour after glucose intake, mean blood glucose was significantly lower after cycling compared with rest (p = 0.002). Similarly, mean glucose peak level was significantly lower after cycling compared with after rest (p = 0.039). Lower levels of insulin and C-peptide were observed after 1 h (p < 0.01). Differences in glucose measurements after 2 h and up to 48 h were not statistically different. We found that 20 min of cycling at moderate intensity after glucose intake reduced blood glucose excursions in pregnant women at risk for GDM. ClinicalTrials.gov Identifier: NCT03644238. Novelty Bullets In pregnant women, we found that cycling after glucose intake resulted in significantly lower glucose levels compared with rest. The exercise intervention studied is feasible for pregnant women and could be readily used to reduce glucose excursions.

Screening for gestational diabetes in pregnancy in Northwestern Ontario.

INTRODUCTION: We estimate the screening and prevalence of gestational diabetes mellitus (GDM) in a primarily first nations obstetrical population in Northwestern Ontario. METHODS: The study is an 8-year retrospective analysis of all gestational glucose challenge and tolerance tests performed at the Sioux Lookout Meno Ya Win Health Centre (SLMHC) laboratory from 1 January, 2010 to 31 December, 2017. Test, gestational timing and completion rate of screening were recorded, and GDM prevalence was calculated on the tested population. Screening completion rates were recorded for the subset of women who delivered at SLMHC from 2014 to 2017. RESULTS: The average annual GDM prevalence was 12%, double the Ontario rate. Over the 8-year period, 513 patients were diagnosed with GDM among the 4298 patients screened. Patients were screened with the 2-step (90%) or the 1-step (10%) protocol. Screening occurred <20 weeks in 3%; 54% occurred in <28 weeks and 40% >28 weeks. Seventy percent of the tests were from remote nursing stations. The screening completion rate for women delivering at SLMHC in 2017 was 80.8%. CONCLUSION: The prevalence of GDM in Northwestern Ontario is twice the provincial rate. Most screening used the 2-step protocol; early screening was underused. Improvements in screening programming are underway and future research may match surveillance rates and results to GDM outcomes.

Résumé Introduction: Nous estimons le dépistage et la prévalence du diabète gestationnel au sein d'une population obstétrique composée principalement de femmes des Premières Nations du Nord-Ouest de l'Ontario. Méthodologie: Il s'agissait d'une analyse rétrospective de 8 ans de toutes les épreuves d'hyperglycémie gestationnelle provoquée et de tous les tests de tolérance au glucose effectués au laboratoire Sioux Lookout Meno Ya Win Health Centre (SLMHC) entre le 1er janvier 2010 et le 31 décembre 2017. Le nombre de tests, le moment de la grossesse et le taux d'achèvement des tests de dépistage ont été consignés, et la prévalence du diabète gestationnel a été calculée dans la population testée. Le taux d'achèvement des tests de dépistage du sous-groupe de femmes ayant accouché au SLMHC entre 2014 et 2017 a aussi été consigné. Résultats: La prévalence annuelle moyenne de diabète gestationnel était de 12 %, soit le double de celle de l'Ontario. Durant les 8 ans qu'a duré l'étude, 513 patientes ont reçu un diagnostic de diabète gestationnel parmi les 4298 patientes soumises au dépistage. Le protocole à 2 étapes ou à 1 étape a servi au dépistage chez les patientes, à raison de respectivement 90 et 10 %. Le dépistage a eu lieu à < 20 semaines chez 3 %; à < 28 semaines chez 54 % et à > 28 semaines chez 40 % des patientes. Soixante-dix pour cent des tests ont été effectués dans des postes éloignés de soins infirmiers. Le taux d'achèvement du dépistage chez les femmes ayant accouché au SLMHC en 2017 était de 80,8 %. Conclusion: La prévalence de diabète gestationnel dans le Nord-Ouest de l'Ontario est le double du taux provincial. La plupart des tests effectués ont eu recours au protocole à 2 étapes; le dépistage précoce était sous-utilisé. L'on tente actuellement d'améliorer les programmes de dépistage, et de plus amples recherches pourraient documenter le taux de surveillance et approfondir notre compréhension des issues liées au diabète gestationnel.

Epidemiology of Diabetes in Pregnancy Among First Nations and Non-First Nations Women in Saskatchewan, 1980‒2013. Part 2: Predictors and Early Complications; Results From the DIP: ORRIIGENSS Project.

OBJECTIVES: Because of disparities in incidence of diabetes in pregnancy (DIP) among First Nations (FN) and non-First Nations (non-FN) women in Saskatchewan, we compared predictors and early maternal/child complication rates of gestational diabetes (GDM) and pre-GDM between the 2 populations from 1980 to 2013. METHODS: Using Ministry of Health administrative databases, we examined overall GDM and pre-GDM predictors among a cohort of FN and non-FN women using logistic regression models. We compared early birth complications by ethnicity and DIP status using chi-square analysis. RESULTS: Deidentified data were obtained for 69,176 FN and 344,410 non-FN pregnancies. Important GDM and pre-GDM predictors for FN and non-FN pregnancies were increasing maternal age, a previous high birthweight (HBW) or stillborn infant, and, most importantly, previous maternal GDM. Both GDM and pre-GDM were over 2.3-fold as likely to occur among FN in multivariable analysis. FN and non-FN pregnancies with GDM and pre-GDM had higher rates of prematurity, shoulder dystocia, caesarean section, HBW and stillborn and infant death than those with no DIP. The largest rate disparities between FN and non-FN with DIP occurred with stillborn, HBW and shoulder dystocia. CONCLUSIONS: Along with previously recognized predictors of GDM and pre-GDM, FN ethnicity was an independent determinant of DIP in Saskatchewan from 1980 to 2013. Early mother/child birth complications were increased in both FN and non-FN with DIP, but more so in FN. Effective DIP prevention strategies, and improvements in preconception, prenatal and perinatal care, are required to remove ethnicity-based disparities in DIP rates and outcomes.