Background: Diabetes mellitus (DM) is one of the most impactful health problems worldwide. It affects ocular health in multiple ways and is one of the leading causes of vision loss. Our study aimed to evaluate the most important systemic risk factors related to the occurrence of cataracts in patients with DM. Method: This study evaluated a final number of 319 participants who were previously diagnosed with DM. For all patients, we retrieved data regarding DM status, metabolic control, demographic and anthropometric indices, and generally associated comorbidities from their medical charts. A comprehensive eye examination was performed on all patients. Results: The main studied risk factors were hypertension, cardiovascular disease (CVD), chronic kidney disease (CKD), diabetic polyneuropathy (DPN), dyslipidemia, and hepatic steatosis, which were present among the entire population. Hypertension (67.6%), DPN (53.3%), and dyslipidemia (46.6%) were highly prevalent in the cataract subgroup, and CKD (p < 0.001) and DPN (p = 0.019) were found to be predictive factors for the probability of cataract occurrence. Ophthalmologic evaluation was used to assess the presence of ocular complications, such as diabetic retinopathy (DR) and diabetic maculopathy. DR reached statistically significant values in the occurence of cataracts. Patients’ age and DM-related factors, such as disease duration (p < 0.001) and HbA1c values (p = 0.029), significantly increased the risk of cataracts. Smoking was self-reported by 24.8% of the patients, with a significant impact on the occurrence of cataracts (p = 0.04). Conclusions: Patients with DM who exhibit a longer disease duration and poor glycemic control in conjunction with systemic comorbidities present a higher risk of developing cataracts; consequently, a strict therapeutic approach regarding these risk factors is needed.

Background: Diabetes mellitus is associated with various oral health complications that can negatively impact quality of life. Despite evidence of the relationship between diabetes and oral health issues, limited research exists on the perceptions, behaviors, and oral health-related quality of life (OHRQoL) of diabetic patients in Romania. This study aims to evaluate self-reported oral health, knowledge, behaviors, and OHRQoL among diabetic patients in western Romania. Methods: A cross-sectional study was conducted in early 2024 at Pius Brinzeu County Emergency Hospital, Timisoara, involving 121 patients with type 2 diabetes. Data were collected using self-administered questionnaires that assessed oral health status, behaviors, and OHRQoL, with the OHIP-14 instrument employed for quality-of-life measurement. Statistical analyses included descriptive statistics, multiple linear regression, and correlation analyses to identify the predictors of oral health knowledge and OHRQoL. Results: Participants (mean age: 63.24 years; 52.1% female; 60.5% urban residents) reported significant oral health challenges. Over half (56.2%) did not visit a dentist regularly, with financial constraints identified as the primary barrier (23.5%). Oral hygiene practices were suboptimal: only 38.0% brushed twice daily, while 78.5% used fluoride toothpaste. Auxiliary hygiene tools, such as mouthwash and toothpicks, were rarely used (13.22% and 11.57%, respectively). Regression analyses identified the significant predictors of oral health knowledge, including tooth mobility (β = 0.33, p < 0.01) and brushing frequency (β = −0.18, p < 0.05). The mean OHIP-14 score (0.55) indicated a moderate impact on OHRQoL, with domains such as psychological discomfort and social disability revealing nuanced challenges. Conclusions: Diabetic patients in Romania face oral health challenges and care barriers, emphasizing the need for preventive strategies, oral health education, and integrated diabetes care. Addressing these gaps can improve oral health outcomes and overall quality of life in this vulnerable population.

Background and Objectives: Diabetes has become a global epidemic, contributing to significant health challenges due to its complications. Among these, diabetes can affect sight through various mechanisms, emphasizing the importance of early identification and management of vision-threatening conditions in diabetic patients. Changes in the crystalline lens caused by diabetes may lead to temporary and permanent visual impairment. Since individuals with diabetes are at an increased risk of developing cataracts, which significantly affects their quality of life, this study aims to identify the most common cataract subtypes in diabetic patients, highlighting the need for proactive screening and early intervention. Materials and Methods: This study included 201 participants with cataracts (47.6% women and 52.4% men), of whom 105 also had diabetes. With the use of machine learning, the patients were assessed and categorized as having one of the three main types of cataracts: cortical (CC), nuclear (NS), and posterior subcapsular (PSC). A Random Forest Classification algorithm was employed to predict the incidence of different associations of cataracts (1, 2, or 3 types). Results: Cataracts have been encountered more frequently and at a younger age in patients with diabetes. CC was significantly more frequent among patients with diabetes (p < 0.0001), while the NS and PSC were only marginally, without statistical significance. Machine learning could also contribute to an early diagnosis of cataracts, with the presence of diabetes, duration of diabetes, or diabetic polyneuropathy (PND) having the highest importance for a successful classification. Conclusions: These findings suggest that diabetes may impact the type of cataract that develops, with CC being notably more prevalent in diabetic patients. This has important implications for screening and management strategies for cataract formation in diabetic populations.

Background: Type 2 diabetes mellitus (T2DM) represents one of the most impacting health issues of the modern era, as it is associated with an extensive range of comorbidities. Diabetic retinopathy (DR) is one the utmost severe diabetes complications as it is one of the major causes of vision loss among these patients. Our present research aims to evaluate the most frequent risk factors related to the occurrence of DR in T2DM patients. Method: This study consisted of a research group of 302 participants, priorly diagnosed with T2DM, that were evaluated for the most important risk factors related to the occurrence of DR. Results: Patients had a median age of 64 years, 48% of them being women, with a 12-year median duration of DM and presenting a deficient glycaemic control echoed by a median HbA1C value of 7.5%. From the total number of participants, the total prevalence of DR in different stages of severity was 34.8% with a 95% CI. Statistically significant values were found regarding DM duration (p = 0.007), HbA1c > 7.2% (p = 0.001) and patients aged over 67 years (p = 0.0035), all these parameters being directly linked to DR. Conclusions: Older patients with T2DM that have a longer disease duration and simultaneous comorbidities present a higher risk of DR development, consequently a stringent management of these pathologies is needed.

Background: Diabetes mellitus (DM) is a global healthcare concern with a rising prevalence. Patients with DM have a severely diminished quality of life due to the extensive range of connected complications. One of the most impactful diabetes-associated pathologies is diabetic macular edema (DME), as it is a major cause of blindness globally. Patients with DME present many concomitant diseases that influence their prognosis. The present research seeks to describe the most frequent DME-related comorbidities. Method: This study enrolled 105 participants previously diagnosed with type 1 DM (T1DM) or type 2 DM (T2DM) (77 presenting with DME), who were evaluated regarding other associated comorbidities. Results: Patients in the DME group presented a median age of 65, with a mean disease duration of 15 years and inadequate glycemic control, reflected by a mean HbA1c of 7.5%. All patients presented at least one comorbidity, with hypertension (100%) and dyslipidemia (62.3%) being the most prevalent. Spearman analysis revealed a statistically significant correlation between DME and diabetes duration (p = 0.01), proliferative diabetic retinopathy (p = 0.004), and chronic kidney disease (p = 0.034). Conclusions: Patients with DME often present multiple comorbidities that must be screened for and addressed through a multidisciplinary approach.

Background: Type 2 diabetes mellitus (T2DM) is one of the most complex metabolic disorders worldwide, with a continuously rising prevalence. T2DM is linked to multiple complications, among which metabolic dysfunction-associated steatotic liver disease (MASLD) has gained increasing recognition. MASLD is the leading cause of chronic liver disease and a major determinant of cirrhosis and hepatocellular carcinoma. This research aimed to estimate the prevalence of MASLD in a single-center outpatient diabetes clinic and explore the associated risk factors. Methods: The study included 170 adults previously diagnosed with T2DM. Data regarding disease duration, metabolic control, demographic characteristics, anthropometric parameters, and comorbidities were retrieved. Laboratory analyses and imaging investigations were conducted to assess liver status and MASLD presence. Results: The prevalence of MASLD was 76.47%. Patients with MASLD presented significantly higher body weight, waist circumference, and body mass index (all p < 0.0001). The MASLD population exhibited longer diabetes duration (p = 0.043) and poor metabolic control. The lipid profile showed higher LDL-cholesterol (p = 0.003) and triglycerides (p < 0.0001) and lower HDL-cholesterol (p = 0.0004). Insulin resistance indices illustrated significant differences, with higher METS-IR and lower eGDR in MASLD patients (both p < 0.0001). Conclusions: MASLD was highly prevalent in the evaluated population. Our findings suggest that MASLD occurrence is mainly associated with obesity, insulin resistance, inadequate glycemic control, and dyslipidemia. All these factors indicate an unfavorable metabolic profile in T2DM patients, underscoring the need for early liver function screening.