Predictive factors of gestational diabetes in pregnancies following assisted reproductive technology: a nested case-control study.

PURPOSE: To evaluate predictive factors for gestational diabetes mellitus (GDM) in singleton pregnancy following assisted reproductive technology (ART). METHODS: This nested case-control study was performed during October 2016-June 2017. Pregnant women who conceived following ART procedures referred to infertility clinic were selected and categorized into GDM and non-GDM based on ADA/IAPDSG criteria. The study variables including age, educational status, first-degree family history of chronic diseases, systolic and diastolic blood pressure, previous obstetric and perinatal outcomes, infertility history, and ART cycle characteristics were collected from medical records. Prediction model to develop GDM was employed by binary logistic regression analysis after adjustment for age and body mass index, family history of diabetes, and gravidity. RESULTS: In total, 270 women with singleton pregnancies (consisted of 135 GDM and 135 non-GDM women) conceived were studied. According to the final model, significant predictors of GDM were history of polycystic ovarian syndrome (PCOS), previous ovarian hyper-stimulation syndrome (OHSS) risk and progesterone injections. Administration of injectable progesterone during the first 10-12 weeks of pregnancy was associated with an approximately twofold increased risk of developing GDM [odds ratio (OR) 2.28, 95% confidence interval (CI) 1.27-4.09)] compared to vaginal progesterone. In addition, the regression analysis revealed that previous OHSS risk (OR 2.40, 95% CI 1.34-4.31) and history of PCOS (OR 2.76, 95% CI 1.26-6.06) were other most important predictors of GDM. CONCLUSIONS: The route of progesterone administration, previous OHSS risk and history of PCOS seem to be putative risk factors for GDM in women conceived by ART.

Type 2 diabetes: patient assessment of chronic illness care.

OBJECTIVE: We tried to assess perception of chronic illness care in people with type 2 diabetes and to determine whether demographic variables, self-care behavior, as well as affective variables were related with perception of chronic illness care. METHODS: We conducted a secondary analysis of the previously published cross-sectional study in 441 Iranian people with type 2 diabetes. Chronic illness care was assessed with the validated tool of patient assessment of chronic illness care (PACIC). Different aspects of care according to the chronic care model are measured on a scale of 1-5, with 5 being highest perception of care. The association between perception of chronic illness care and measured variables were tested using spearman correlation test as well as univariate and multiple linear regression analysis. RESULTS: Finally, 380 filled out the PACIC questionnaire, completely (53.4% female, mean age: 54.73 ± 8.0 years, mean PACIC score: 2.52 ± 0.87). In spearman correlation test, considering PACIC score as the dependent variable, chronic illness care was inversely associated with level of education and distress, whereas, insulin treatment, wellbeing, family-social support and self-management were positively associated with chronic care (All p value<0.05). In the multiple linear regression analysis, family-social support was positively related to chronic care while level of education, marital status, diabetes-related distress, and high density lipoprotein had significant negative relationship with PACIC score (All p value<0.05). CONCLUSIONS: Family-social support, level of education, marital status, and diabetes-related distress are the major determinants of patient experience of chronic illness care in people with type 2 diabetes.

Antenatal umbilical coiling index in gestational diabetes mellitus and non-gestational diabetes pregnancy.

OBJECTIVE: Umbilical cord abnormalities increase fetal morbidity and mortality. This study was designed to compare antenatal umbilical coiling index (aUCI) in gestational diabetes mellitus (GDM) and non-gestational diabetes mellitus (non-GDM) pregnancy, considering uncertainties about the best time to perform antenatal ultrasonography scan. MATERIALS AND METHODS: In this prospective study, 246 parturients were included, 123 with GDM and 123 with non-GDM pregnancy. Gestational diabetes was confirmed at 24-28 weeks of gestation (WG) using one-step strategy. An anatomical ultrasound survey of placenta and umbilical cord was performed at 18-23 as well as 37-41 weeks of gestational age. RESULTS: At 18-23 WG, the frequency distribution (10th, 90th percentiles, mean ± SD) of the aUCI in the GDM and non-GDM groups were (0.13,0.66,0.32 ± 0.19) and (0.18,0.74, 0.4 ± 0.31) respectively. These values were (0.12,0.4, 0.25 ± 0.11) in the GDM group at 37-41 WG and (0.17,0.43, 0.29 ± 0.11) in the non-GDM group. A significant relationship was detected between UCI value and GDM/non-GDM groups at both antenatal evaluations (18-23 WG; P = 0.002, 37-41WG; P < 0.001). A significant association at 18-23 WG was found between GDM/non-GDM groups and aUCI categorization (hypocoiling <10th, normocoiling 10th-90th and hypercoiling >90th) (P = 0.001). However, hypocoiling were significantly more frequent in GDM than non-GDM in both antenatal evaluations (P < 0.001, P = 0.006). CONCLUSION: Antenatal UCI in pregnancy complicated by GDM were lower in comparison with non-GDM pregnancy. The most abnormal pattern of coiling in gestational diabetes was hypocoiling in both trimesters. In addition, 18-23 WG is the best time to perform ultrasound scan to detect aUCI and umbilical cord pattern.

Effect of long-term exposure to ambient particulate matter on prevalence of type 2 diabetes and hypertension in Iranian adults: an ecologic study.

Air pollution is considered as an environmental risk to health worldwide. Current evidence is mostly from Western populations exposed to lower levels of pollutants. This study was to explore the association of type 2 diabetes (T2D) and hypertension prevalence with exposure to high levels of air pollution in Iranian adults. The air pollution data were obtained from the air quality monitoring stations of five large cities in Iran from 2006 to 2011. The air quality monitoring stations could only detect ambient particulate matter_10 (PM10) during the study period; therefore, the average PM10 concentration was considered for comparison. We grouped the cities as group 1 (Tehran, Shiraz) with PM10 concentration < 100 µg/m3, and group 2 (Kermanshah, Ahwaz, Esfahan) with PM10 concentration > 100 µg/m3. Data from the Surveillance of Risk Factors of Non-Communicable Disease (SuRFNCD) study were used to calculate the prevalence of T2D and hypertension. We assessed the association between air pollution and the prevalence of T2D using logistic regression models. Odds ratios (ORs) with 95% CI for each outcome were calculated after adjusting for age, sex, BMI, physical activity, and other covariates. The 5-year average of PM10 concentration was higher in group 2 (120.15 ± 6.81 µg/m3) compared to group 1 (83.95 ± 7.81 µg/m3). The prevalence of T2D in group 2 was 13.8%, while it was 10.7% in group 1 (p = 0.01), OR = 1.32 (95% CI 1.03-1.69). Similarly, hypertension was more prevalent in group 2 (15.7 vs. 11.9%, p = 0.005, OR = 1.55, 95% CI 1.20-1.99). PM10 is associated with higher prevalence of T2D and hypertension in Iranian adults.

Type 2 Diabetes: Model of Factors Associated with Glycemic Control.

OBJECTIVES: The purpose of this study was to evaluate the related factors and their intercorrelated impacts on glycemic control in people with type 2 diabetes mellitus. METHODS: Patients with type 2 diabetes were recruited for this study during their regular clinic visits at a major medical centre in Iran. Glycated hemoglobin (A1C) levels were used as the indicator of glycemic control. Regression analysis was used to determine the relationships between glycemic control and demographics, self-care behaviours, resources and affective variables. Moreover, the associations between diabetes-related distress and measured variables were tested. RESULTS: Three hundred eighty people with type 2 diabetes completed the study. The mean duration of diabetes was 8.94±6.57 years, and the mean A1C levels were 7.78%±1.7%. Diabetes-related distress was significantly associated with A1C levels, controlling for all other variables (p=0.01). On the other hand, depression (p<0.001), self-management (p<0.001), anxiety (p<0.001) and patient-physician relationship (p=0.023) were significantly associated with diabetes-related distress. CONCLUSIONS: Diabetes-related distress was found to be associated with glycemic control in people with type 2 diabetes, whereas age, depression, anxiety, self-management and family and social support may affect glycemic control indirectly through diabetes-related distress. Thus, it is important to assess and, if appropriate, treat people with diabetes for diabetes-related distress in order to identify and help them overcome barriers to optimal glycemic control.

Dry eye disease in type 2 diabetes mellitus; comparison of the tear osmolarity test with other common diagnostic tests: a diagnostic accuracy study using STARD standard.

BACKGROUND: To determine the diagnostic performance of tear osmolarity in diagnosis of dry eye disease by using tear lab osmolarity system in people with type 2 diabetes, and to compare it with common diagnostic tests already available in clinical practice. METHODS: Two hundreds forty three people with type 2 diabetes were included. Tear osmolarity was measured with the tear osmolarity system. The 308 mOsm/L cutoff was used to diagnose dry eye disease. The following tests were also performed: Ocular Surface Disease Index (OSDI) questionnaire, Tear Film Break up Time (TFBUT), Schirmer I test, Rose Bengal and Fluorescein staining. The results of these tests were compared to the tear osmolarity measurement. RESULTS: The prevalence of dry eye disease detected by the tear osmolarity test was 27.7%. It was as follows for the other common diagnostic tests: OSDI (17.7%), Schirmer I test (33%), TFBUT (41%), Rose Bengal (11%), and Fluorescein staining (4%). Fluorescein staining had the highest specificity (97%). With the cutoff score >12, the positive likelihood ratio for the OSDI questionnaire was the highest (1.78). The sensitivity was poor for all common diagnostic tests. ROC curve analysis could not determine optimal cut offs for the common diagnostic tests. CONCLUSIONS: The available common diagnostic tests underestimate the presence of dry eye disease in people with type 2 diabetes. Moreover, they could not discriminate tear hyperosmolarity from normal. Tear osmolarity could be considered as the best single test for detection of dry eye disease in people with type2 diabetes.

Body composition in adults with newly diagnosed type 2 diabetes: effects of metformin.

BACKGROUND: The aim of this study was to measure the body composition in adults with newly diagnosed type 2 diabetes mellitus and to explore the effect of metformin therapy on the various components of body composition, insulin sensitivity, and glucose homeostasis. METHODS: This was an observational study consisted of 51 newly diagnosed people with type 2 diabetes on 1000 mg metformin twice daily for 6 months. The body composition of each subject was measured by dual energy X-ray absorptiometry at enrollment and 24 weeks after metformin mono-therapy. Sarcopenia was defined and compared based on the ratio of appendicular skeletal muscle and height squared, skeletal muscle index and residual methods. Homeostasis model assessment-insulin resistance and Quantitative Insulin Sensitivity Check Index were used for estimating insulin sensitivity. The level of physical activity was assessed using self-administered International physical Activity questionnaire. RESULTS: Forty one subjects (80.4%) completed the study. The mean age of the participants was 52.67 ± 10.43 years. Metformin treatment was associated with a significant decrease in total fat mass (-1.6 kg, P = 0.000). By week 24, the lean to fat ratio increased (P = 0.04) with men showing greater significant changes. Twenty percent of the female participants were detected to have sarcopenia. In addition, there was a significant improvement of glucose homeostasis and insulin sensitivity. CONCLUSIONS: Metformin therapy results in significant improvement in body composition and insulin sensitivity of adults with newly diagnosed type 2 diabetes. Furthermore, sarcopenia begins in women with diabetes much earlier than expected as an age related phenomenon.

Dry eye and its correlation to diabetes microvascular complications in people with type 2 diabetes mellitus.

AIMS: This study was performed to investigate the correlation between dry eye disease and diabetes microvascular complications. METHODS: In this study 243 people with type 2 diabetes were enrolled. Tear osmolarity was measured using tear lab osmolarity system. All of the participants were evaluated for diabetes microvascular complications. The Michigan neuropathy screening instrument was used for detection of peripheral neuropathy, and the albumin/creatinine ratio in a spot urine sample was considered to diagnose diabetic nephropathy. RESULTS: The prevalence of dry eye disease was 27.7%. The mean value for tear osmolarity was 301.97±13.52 mOsm/L. We found a significant correlation between dry eye disease and diabetic retinopathy (P=0.01). However no significant correlation was found between dry eye disease, diabetic neuropathy, and diabetic nephropathy. Dry eye disease was more prevalent in people with proliferative diabetic retinopathy and/or clinically significant macular edema (0.006). In a binary logistic regression analysis model, there was a significant correlation between dry eye disease and retinopathy (OR=2.29, CI=1.16-4.52, P=0.016). In addition, both dry eye and retinopathy had significant correlation with HbA1C. CONCLUSIONS: Dry eye disease is common in people with type 2 diabetes, especially in those with diabetic retinopathy. In addition, it is more prevalent in people who suffer from advanced stages of diabetic retinopathy.