Diabetic neuropathy (DN) is a prevalent complication of Type 2 Diabetes Mellitus (T2DM) with a major impact on the health of the affected patient. We hypothesized that mediated by the dysfunctionalities associated with DN’s three major components: sensitive (lack of motion associated sensory), motor (impairments in movement coordination) and autonomic (the presence of postural hypotension), the presence of DN may impair the balance in the affected patients. Our study’s main aim is to evaluate the possible association between the presence and severity of DN and both the balance impairment and the risk of falls in patients with T2DM. In this cross-sectional study we enrolled, according to a consecutive-case population-based setting 198 patients with T2DM. The presence and severity of DN was evaluated using the Michigan Neuropathy Screening Instrument, a tool which allows both diagnosing and severity staging of DN. The balance impairment and the risk of falls were evaluated using four validated and standardized tools: Berg Balance Scale (BBS), Timed-up and Go test (TUG), Single Leg Stand test (SLS) and Fall Efficacy Scale (FES-I). The presence of DN was associated with significant decreases in the BBS score (40.5 vs. 43.7 points; p<0.001) and SLS time (9.3 vs. 10.3 seconds; p = 0.003) respectively increases in TUG time (8.9 vs. 7.6 seconds; p = 0.002) and FES-I score (38 vs. 33 points; p = 0.034). The MNSI score was reverse and significantly correlated with both BBS score (Spearman’s r = -0.479; p<0.001) and SLS time (Spearman’s r = -0.169; p = 0.017). In the multivariate regression model, we observed that patient’s age, DN severity and depression’s symptoms acted as independent, significant predictors for the risk of falls in patients with T2DM. The presence of DN in patients with DM is associated with impaired balance and with a consecutively increase in the risk of falls.

Background: Dementia and cognitive dysfunction have many causes. There is strong evidence that diabetes mellitus (DM) increases the risk of cognitive impairment and dementia. Optimal glycemic control, identification of diabetic risk factors, and prophylactic approach are essential in the prevention of cognitive complications. Aims: The main purpose of this study was to establish the cognitive impairment in DM patients, cared for in the Diabetes Center from Timisoara. Also, we investigated the prevalence of dementia in our group as well as the risk factors involved in the progression of mild cognitive impairment (MCI) to dementia. Patients and methods: We considered a sample of 207 type 2 DM (T2DM) patients, aged between 33 and 81 years, mean 57.49 (±11.37) years. We established the diagnosis of dementia based on the Mini-Mental State Examination (MMSE) test, as well as on the psychological testing, psychiatric and neurological investigations, and imaging tests (computerized tomography and MRI). Results: A percentage of 42.03% of patients presented MCI, mean age 63 (57.00–71.00) years, being older than patients without MCI, mean age 52.00 (45.00–61.00) years, P<0.001. We observed that diabetes duration was a significant risk factor for developing dementia. Also, patients with MCI presented higher values of body fat than patients without MCI. Moreover, we found that glucose levels, low-density lipoprotein cholesterol levels, the presence of stroke events, and the presence of cardiovascular disease were significant risk factors for MCI conversion to dementia. Conclusion: Patients with T2DM at early to severe stages of MCI are more likely to develop dementia and should be regularly evaluated for their cognitive status. Regular administrations of the MMSE test can be done to detect early stages of MCI development. Also, to reduce the progression of cognitive impairment to dementia, it is worthwhile to give greater importance to glycemic control and overall DM management.

Background and Objective: It is known that several viruses are involved in the pathogenesis of type 1 diabetes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new worldwide spread virus that may act as a trigger for the autoimmune destruction of the β-cells, as well, and thus lead to an increase in the incidence of type 1 diabetes. Material and Methods: The Romanian National Organization for the Protection of Children and Adolescents with Diabetes (ONROCAD) has collected information regarding new cases of type 1 diabetes in children aged 0 to 14 years from all over the country since 1996 and has computed the incidence of type 1 diabetes in this age group. Results: We observed a marked increase in the incidence of type 1 diabetes in the first year of the COVID-19 pandemic, with 16.9%, from 11.4/100,000 in 2019 to 13.3/100,000 in 2020, much higher compared to previous years (mean yearly increase was 5.1% in the period 1996–2015 and 0.8% in the interval 2015–2019). The proportion of newly diagnosed cases was significantly higher in the second half of 2020 compared to the second half of the previous years (57.8 vs. 51%, p < 0.0001). Conclusions: All these aspects suggest the role that SARS-CoV-2 could have in triggering pancreatic autoimmunity. To confirm this, however, collecting information from larger populations from different geographical regions, monitoring the incidence curves over a period of several years, and gathering background information on COVID-19 and/or data on COVID-19 specific antibodies are needed.

Population aging is unprecedented, without parallel in the history of humanity. As type 2 diabetes mellitus is predominantly more prevalent in aging populations, this creates a major public health burden. Older adults with diabetes have the highest rates of major lower-extremity amputation, myocardial infarction, visual impairment, and end-stage renal disease of any age group. The aims of our study were to assess whether age is an independent factor for the occurrence of diabetic neuropathy (DN), and to evaluate the relationship between the presence and the severity of DN and the diabetes duration and blood glucose level. In this study, we enrolled 198 patients, previously diagnosed with type 2 diabetes mellitus. For all patients, we measured hemoglobin A_1c (HbA_1c), lipid profile, and body mass index and we assessed the presence and severity of DN using the evaluation of clinical signs and symptoms. Patients had a median age of 62 years, with a median of diabetes duration of 7 years; 55.1% of the patients were men and the average HbA_1c in the cohort was 8.2%. The prevalence of DN according to Michigan Neuropathy Screening Instrument was 28.8%, being significantly and positively correlated with higher age (65 vs 59 years; P=0.001) and HbA_1c (8.6% vs 8.0%; P=0.027). No significant correlations were observed between the severity of DN and diabetes duration, body mass index (31.9 vs 29.9 kg/m²), or the number of centimeters exceeding the normal waist circumference (25.2 vs 17.3 cm; P=0.003). In conclusion, age influences the presence of DN, independent on other risk factors. This influence persists even after adjusting for other, very important risk factors, like blood glucose level or diabetes duration.

Background and objectives: Erratic results have been published concerning the influence of the dietary supplement chitosan used as a complementary remedy to decrease the body weight of overweight and obese people. The published articles mention as secondary possible benefits of usage of chitosan the improvement of blood pressure and serum lipids status. We performed a meta-analysis evaluating body weight, body mass index, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, triglycerides, systolic and diastolic blood pressure among overweight and obese patients. Materials and Methods: Searching MEDLINE, Cochrane up to December 2017 on clinical trials that have assessed the influence of chitosan used as a dietary supplement on overweight and obese patients. An additional study was identified in the References section of another meta-analysis. A total of 14 randomised control trials (RCT) were used to assess the effect on body weight, serum lipids and blood pressure. Results: The usage of chitosan as a dietary supplement up to 52 weeks seems to slightly reduce the body weight (−1.01 kg, 95% CI: −1.67 to −0.34). Considering the other parameters studied, the most significant improvement was observed in systolic and diastolic blood pressure: −2.68 mm Hg (95% CI: −4.19 to −1.18) and −2.14 mm Hg (95% CI: −4.14 to −0.14) in favour of chitosan versus a placebo. Conclusions: Based on the meta-analysis realized with 14 RCT we concluded that the usage of chitosan as a dietary supplement can lead to a slight short- and medium-term effect on weight loss and to the improvement of serum lipid profile and cardiovascular factors.

Objective: We aimed to investigate the influence of depression and self-esteem on oral health-related quality of life (OHRQoL) in students. Methods: Among the 67 included participants, we measured self-esteem using the Rosenberg Self-Esteem Scale, severity of depression using the Patient Health Questionnaire-9 (PHQ-9), personality dimensions with the Neuroticism–Extraversion–Openness Five-Factor Inventory, and OHRQoL using the Oral Health Impact Profile 49 (OHIP-49). Results: Among all participants, 7.5% (n = 5) had the dominant personality trait openness to experience, 11.9% (n = 8) presented a neurotic personality type, and 64.% (n = 11) had an extraverted personality type. The most frequent was conscientious personality type, accounting for 64.2% (n = 43) of participants. Our results showed a significant correlation between increased PHQ-9 scores and OHIP scores (Spearman’s r = 0.280); thus, participants with poorer oral health tended to have more severe depression. An increase in depression severity was significantly and positively correlated with increased scores across the other two OHIP subcategories, physical pain (Spearman’s r = 0.314) and physical disability (Spearman’s r = 0.290). Conclusion: The presence and severity of depression influences OHRQoL. An important factor in the presence of depression and level of self-esteem is the personality type, especially the neuroticism dimension.