Glucose control in home-isolated adults with type 1 diabetes affected by COVID-19 using continuous glucose monitoring.

PURPOSE: This study is aimed at evaluating changes in metrics of glucose control in home-isolated patients with type 1 diabetes and COVID-19 using a continuous glucose monitoring (CGM) system. METHODS: We included adults aged 18-45 years with type 1 diabetes, using CGM, followed by telemedicine at a Southern Italian University Hospital. Thirty-two home-quarantined subjects with SARS-CoV-2 positive swab constituted the COVID-19 group. Thirty age-matched diabetic individuals without COVID-19 formed the control group. The effects of COVID-19 on glycemic control in patients infected were assessed at different time points [2 weeks before-COVID-19 (Time 1), 2 weeks during-COVID-19 (Time 2) and 2 weeks after COVID-19 (Time 3)] and compared with those without infection. RESULTS: A significant reduction of TIR (Time 1 vs Time 2, %, 60.1 ± 16.6 vs 55.4 ± 19.2, P = 0.03), associated with a significant increase of TAR level 2 (10.1 ± 7.3 vs 16.7 ± 12.9, P < 0.001), GMI (7.1 ± 0.6 vs 7.5 ± 0.8, P < 0.001), CV (37.3 ± 7.1 vs 39.6 ± 7.0, P = 0.04), mean glucose values (mg/dL, 160.2 ± 26.5 vs 175.5 ± 32.6, P = 0.001) and standard deviation (59.2 ± 13.1 vs 68.6 ± 17.7, P = 0.001) was observed in patients with COVID-19. No significant change of glycemic metrics was found in the NO COVID-19 group across the time. CONCLUSION: Young home-isolated patients with type 1 diabetes and COVID-19 showed a worsening of glucose control during COVID-19, as compared with age-matched diabetic subjects without the infection.

TSH oscillations in young patients with type 1 diabetes may be due to glycemic variability.

PURPOSE: A relationship between thyroid dysfunction and diabetes mellitus has been described by several authors but the role of glycemic variability is still unclear. We planned the present study to evaluate the influence of glycemic variability on thyroid hormones and TSH concentrations in patients with type 1 diabetes mellitus (T1DM). METHODS: Seventy-seven young patients with T1DM were enrolled and evaluated for basal glucose concentrations, HbA1c, thyroid hormones and TSH concentrations. Glucose variability was investigated by considering the standard deviation of blood glucose readings and by calculating the mean amplitude of glycemic excursions and continuous overlapping net glycemic action (CONGA). The low (LBGI) and high (HBGI) blood glucose indices were also calculated. The correlations between TSH, thyroid hormones, glycemia and HbA1c were studied in patients and in controls, whereas those between TSH, thyroid hormones and indices of glucose variability only in patients. RESULTS: No correlations were observed in T1DM patients between free thyroid hormones and glycemic values, HbA1c and indices of glucose variability, while an inverse correlation was observed between TSH levels and glycemic values (r = -0.27; p = 0.01), CONGA index (r = -0.35; p = 0.001) and HBGI (r = -0.28; p = 0.01) but not with HbA1c (r = -0.1; p = 0.47). CONCLUSIONS: Our results suggest a direct action of glycemic excursions on TSH secretion, regardless of variations of thyroid hormone concentrations. Thus, the evaluation of thyroid function through the assay of TSH concentrations in these patients should be made, if possible, by multiple samples on patients in euglycemic state to avoid underestimation or overestimation of thyroid dysfunction due to a wrong diagnosis of euthyroidism or dysthyroidism with consequent inappropriate choice of therapeutic options.

Sexual function in young women with type 1 diabetes: the METRO study.

PURPOSE: The aim of this study was to evaluate the prevalence and risk factors associated with female sexual dysfunction (FSD) in young women with type 1 diabetes treated with different intensive insulin regimens. METHODS: Type 1 diabetic women aged 18-35 years were included in this study if they had stable couple relationship and no oral contraceptive use. All women were asked to complete the Female Sexual Function Index (FSFI) and other validated multiple-choice questionnaires assessing sexual-related distress (Female Sexual Distress Scale, FSDS), quality of life (SF-36 Health Survey), physical activity (International Physical Activity Questionnaire), depressive symptoms (Zung Self-Rating Depression Scale, SRDS) and diabetes-related problems (Diabetes Integration Scale ATT-19). FSD was diagnosed according to a FSFI score higher than 26.55 and a FSDS score lower than 15. RESULTS: The overall prevalence of FSD in diabetic and control women was 20 and 15 %, respectively (P = 0.446). Compared with the continuous subcutaneous insulin infusion group and control women, diabetic women on multiple daily injections (MDI) had lower global FSFI score (P = 0.007), FSDS score (P = 0.045) and domains such as arousal (P = 0.006), lubrication and satisfaction scores (P < 0.001 for both). In the multiple regression analysis, only the mental component summary (P = 0.047) and the SRDS score (P = 0.042) were independent predictors of FSFI score in the overall diabetic women. CONCLUSION: Young women with type 1 diabetes wearing an insulin pump show a prevalence of sexual dysfunction similar to that of healthy age-matched women, but sexual function was significantly impaired in diabetic women on MDI therapy. Depression and the mental health status were independent predictors for FSD in diabetic women.

Vitamin D and autoimmunity: what happens in autoimmune polyendocrine syndromes?

PURPOSE: To evaluate the Vitamin D status of patients with a single autoimmune disease and of patients with several autoimmune diseases. METHODS: We enrolled 35 patients with isolated type 1 diabetes mellitus (T1DM), 60 with autoimmune polyendocrine syndromes (APS) including T1DM and 72 control subjects. Among patients with APS, 10 were classified as type 2 (Addison's disease + T1DM), whereas the other 50 as type 3 (autoimmune thyroid disease + T1DM + other autoimmune diseases). Vitamin D (25-OHD) levels were assessed by a chemiluminescent immunoassay in all patients and controls on samples drawn in the morning of the same months. RESULTS: Both groups of APS and T1DM patients showed 25-OHD levels significantly lower than healthy controls (p < 0.001 for both vs controls), without any significant difference between the two groups (p = 0.80). The highest prevalence of vitamin D deficiency (values <20 ng/ml) was observed in APS type 3 subgroup (8 out of 50 patients, 16%). CONCLUSIONS: Patients with APS present reduced vitamin D circulating levels, but the vitamin D status is not different between patients with single or multiple autoimmune diseases. The kind of autoimmune disease, rather than the association of several autoimmune diseases, may influence negatively the levels of vitamin D. Further prospective studies are needed to clarify if impaired vitamin D level is a causal factor in the pathogenesis of autoimmune diseases or a consequence of them.

Effects of pioglitazone versus metformin on circulating endothelial microparticles and progenitor cells in patients with newly diagnosed type 2 diabetes--a randomized controlled trial.

AIM: Endothelial microparticles (EMPs) and endothelial progenitor cells (EPCs) are markers of endothelial injury and repair. We compared the effects of pioglitazone versus metformin on the circulating numbers of EMPs and EPCs in patients with newly diagnosed type 2 diabetes. METHODS: This was a randomized, double-blind, comparator-controlled, 24-week single-centre trial conducted in a Teaching Hospital in Naples, Italy. One hundred and ten people with newly diagnosed type 2 diabetes who were never treated with antihyperglycaemic drugs and had haemoglobin A1c (HbA1c) levels between 7 and 10% were given pioglitazone hydrochloride (15-45 mg/day) (n = 55) or metformin (1000-2000 mg/day) (n = 55) as an active comparator. Absolute change from baseline to final visit in circulating EMPs and EPCs and their ratio were the main outcomes. RESULTS: Baseline characteristics did not differ between the study groups. The decrease in circulating EMPs CD31+ [intergroup difference, -32 counts/µl (95% CI -51 to -9)] and the increase in EPCs CD34+/KDR+ [intergroup difference, 33 cells/10(6) events (95% CI 13 to 55)] were greater with pioglitazone versus metformin. EMPs/EPCs ratio was reduced with pioglitazone and unchanged with metformin [difference, -1.5 (95% CI -2.6 to -0.5), p < 0.001]. Participants assigned to pioglitazone gained more weight and experienced greater improvements in some coronary risk measures [high-density lipoprotein (HDL)-cholesterol, triglycerides, adiponectin and C-reactive protein (CRP)] than did those assigned to metformin. CONCLUSION: Compared with metformin, pioglitazone treatment improved the imbalance between endothelial damage and repair capacity and led to more favourable changes in coronary risk factors in patients with newly diagnosed type 2 diabetes.