Gestational diabetes and risk of future diabetes in a multi-ethnic population.

AIM: To investigate ethnic disparities in risk of gestational diabetes-mellitus (GDM) and future diabetes. METHODS: A population-based retrospective cohort study of women who underwent a 100-g oral glucose-tolerance-test (oGTT) during pregnancy between 2007 and 2017 in Clalit-Health-Services of the Jerusalem district. Univariate and multivariate logistic regression analyses were used to compare the risk of GDM in Arab versus Jewish women. Further, Cox-regression analysis was used to establish the risk of future diabetes. RESULTS: A total of 9875 women, 71 % of Jewish ethnicity and 29 % of Arab ethnicity were included. Arab women had a higher incidence of GDM compared to Jewish women (17.3 % vs. 10.6 %, p < 0.001), which persisted after adjusting for age, BMI, and metabolic profile (aOR 1.7; CI 1.48-2.0, P < 0.001). Additionally, Arab ethnicity was associated with an increased risk of future diabetes, even after adjusting for GDM status (aHR 5.9; 95 % CI 3.7-9.4, P < 0.001). CONCLUSIONS: Women of Arab ethnicity have a higher risk for both GDM and future diabetes, a risk that is beyond the initial increased risk associated with GDM. These findings highlight the need for increased focus on preventing diabetes in women of Arab ethnicity, especially those with a history of GDM.

Future diabetes risk can be predicted by the number of abnormal oral glucose tolerance test values during pregnancy.

AIM: To quantify the future risk of type 2 diabetes (T2D) in women with gestational diabetes (GD) based on baseline metabolic characteristics and the number of abnormal values during a 3-hour 100-g oral glucose tolerance test (OGTT). MATERIALS AND METHODS: We conducted a population-based retrospective cohort study of 10 023 pregnant women who underwent testing for GD in a large health maintenance organization in Israel using a 100-g OGTT. Glucose values were obtained at four time points, 0, 60, 120 and 180 minutes. RESULTS: We identified 9939 women who met the study criteria. Median follow-up was 3.25 (interquartile range 1.5-5.1; maximum 10.1) years. Using women without GD as reference, women with GD were at an increased risk of future T2D (hazard ratio [HR] 5.33 [95% confidence interval {CI} 3.86-7.34]). This risk increased with a greater number of abnormal OGTT values, with the highest risk seen in women with four abnormal values (HR 16.67 [95% CI 7.94-35.01]). In a multivariate model, a higher number of abnormal values, Arab ethnicity, higher body mass index, triglycerides and prepregnancy glucose were significantly associated with increased risk. Future T2D risk was also affected by the type of OGTT abnormality; an abnormal fasting value had the greatest risk, whereas an abnormal 3-hour value had the lowest risk (HR 3.61 [95% CI 2.42-5.38] vs. 1.50 [95% CI 0.93-2.43], respectively). CONCLUSIONS: GD is a heterogenous disease, with varying degrees of glucose intolerance and subsequent T2D risk. Targeting interventions to women at the highest risk may help to improve postpartum adherence and effective long-term follow-up strategies.

Risk Factors Before Dialysis Predominate as Mortality Predictors in Diabetic Maintenance Dialysis patients.

Diabetic patients undergoing maintenance dialysis (MD) have a particularly high mortality rate. Many of the risk factors for mortality have been identified in diabetics who die before reaching end stage renal disease (ESRD), i.e. before dialysis (BD). In addition, many risk factors for mortality have been identified in diabetics after dialysis onset (AD). However, whether in the BD period there are long-term risk factors for AD mortality in diabetics is unknown. We therefore investigated a new concept, i.e. that clinical and biochemical risk factors during the BD stage affect long-term AD mortality. We performed a population based retrospective cohort study, in diabetic CKD patients in a single center in south Israel who initiated MD between the years 2003 and 2015. Clinical and biochemical data 12 months BD and 6 months AD were collected and evaluated for association with mortality AD using Cox's proportional-hazards model. BD parameters that were found to be significant were adjusted for significant parameters AD, thus generating a "combined" regression model in order to isolate the contribution of BD factors on long term mortality. Six hundred and fifty two diabetic MD patients were included in the final analysis. Four independent BD parameters were found in the multivariate model to significantly predict AD mortality: age, BMI (inversely), pulse pressure (U-shaped) and cardiovascular comorbidity. AD independent risk factors for mortality were age, BMI (inversely) and albumin (inversely). Of note, BD factors remained dominantly significant even after additionally adjusting for AD factors. No association was found between either BD HbA1C levels or BD proteinuria and AD mortality. In diabetics who reach ESRD, BD parameters can predict long term AD mortality. Thus, some of the factors affecting the poor survival of diabetic MD patients appear to begin already in the BD period.