Prevalence of Anemia in Type 2 Diabetic Patients and correlation with Body Mass Index and Kidney function in Palestine.

Background: The objective of this study was to determine the prevalence of anemia in patients with type 2 diabetes mellitus and to identify the set of anthropometric and biochemical factors that jointly influence the diabetic and anemic patients including body mass index and kidney function. . Methods: A retrospective cross-sectional design study that was carried out in a private medical center in Palestine. The study included a total of 453 patients with type 2 diabetes. Inclusion criteria included all patients (18 years or older) suffering from type 2 Diabetes mellitus attended the diabetic clinic from the 1st of January 2018, till 30th of December 2018. . Results: A total number of 453 diabetic patients were recruited in the study. Male constituted 48.5% (n=220) of the study sample and 51.4% (n=233) were female. Of total 453 diabetic patients, 38.4% (95% CI, 34%-43%) had anemia. The results of statistical modeling showed that female gender (AOR 18.5; 95% CI 9.35-21.97), presence of hypertension (AOR 2.11; 95% CI 1.98- 4.25), high BMI (AOR 1.101; 95% CI 1.045-1.159), high Serum Creatinine (AOR 1.72; 95% CI 1.22-2.13), high BUN level (AOR 1.22; 95% CI 1.145-1.301) and low e-GFR (AOR 0.571; 95% CI 0.271-0.872) are strong determents of anemia in type 2 diabetic patients. . Conclusion: The results of the current study revealed a high prevalence of Anemia among type 2 diabetes Mellitus patients. A significant association was reported between Anemia, kidney functions and body mass index. .

Benefit-Risk Assessment of ChatGPT Applications in the Field of Diabetes and Metabolic Illnesses: A Qualitative Study.

Background: The use of ChatGPT and artificial intelligence (AI) in the management of metabolic and endocrine disorders presents both significant opportunities and notable risks. Objectives: To investigate the benefits and risks associated with the application of ChatGPT in managing diabetes and metabolic illnesses by exploring the perspectives of endocrinologists and diabetologists. Methods and materials: The study employed a qualitative research approach. A semi-structured in-depth interview guide was developed. A convenience sample of 25 endocrinologists and diabetologists was enrolled and interviewed. All interviews were audiotaped and verbatim transcribed; then, thematic analysis was used to determine the themes in the data. Results: The findings of the thematic analysis resulted in 19 codes and 9 major themes regarding the benefits of implementing AI and ChatGPT in managing diabetes and metabolic illnesses. Moreover, the extracted risks of implementing AI and ChatGPT in managing diabetes and metabolic illnesses were categorized into 7 themes and 14 codes. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues. Conclusions: Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.

Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. The use of ChatGPT in the management of metabolic and endocrine disorders presents both significant opportunities and notable risks. The benefits of heightened diagnostic precision, tailored treatment, and efficient resource utilization have potential to improve patient results. Concurrently, the identification of potential challenges, such as data security concerns and the need for AI that can be explained, enables stakeholders to proactively tackle these issues. Regulatory frameworks must evolve to keep pace with the rapid adoption of AI in healthcare. Sustained attention to ethical considerations, including obtaining patient consent, safeguarding data privacy, ensuring accountability, and promoting fairness, remains critical. Despite its potential impact on the human aspect of healthcare, AI will remain an integral component of patient-centered care. Striking a balance between AI-assisted decision-making and human expertise is essential to uphold trust and provide comprehensive patient care.

Current Perspectives, Practices, and Barriers Faced by Community Pharmacists Regarding Pharmaceutical Care Services for Diabetes Mellitus in the United Arab Emirates.

Background: Providing accurate and sufficient information is a crucial requirement for delivering effective diabetes care, making it essential for community pharmacists to possess adequate knowledge of diabetes mellitus (DM) and its management. Objective: To investigate community pharmacists' level of expertise and engagement in providing counseling and health promotion services for individuals with DM in the United Arab Emirates (UAE). Methods: A cross-sectional study design was used. The community Pharmacies were chosen via random sampling and researchers then conducted face-to-face interviews with them using the structured questionnaire. The questionnaire included demographic data, 14 questions on the knowledge and 9 questions about the practice concerning pharmaceutical care for Diabetes Mellitus. Results: The average age ± SD was 31 ± 6.3. Of the total 516 community pharmacists recruited in the study, 37.2% (n=192) were male and 62.8% (n=324) were female. The average knowledge score about DM prevention and management was 9.7 with a 95% confidence interval (CI) [9.5, 9.9] and the average practice score about DM prevention and management was 7.1 with a 95% confidence interval (CI) [6.9, 7.2]. Better knowledge scores were observed in chief pharmacists (OR 1.29; 95% CI 1.08-1.56), pharmacists with 6-10 Years of experience (OR 6.92; 95% CI 3.43-8.86), pharmacist with > 10 years of experience (OR 1.99; 95% CI 1.67-2.36), when the number of patients the pharmacist serve is 5-10 (OR 1.27; 95% CI 1.06-1.53) and being trained on DM prevention and management (OR 2.18; 95% CI 1.92-2.47). Similarly, better practice scores were observed in older participants (OR1.02; 95% CI 1.001-1.03), chain pharmacies (OR 1.42; 95% CI 1.20-1.68), chief pharmacists (OR 1.56; 95% CI 1.18-2.06), when the number of patients the pharmacists serve was 5-10 (OR 12.26; 95% CI 7.26-16.19), when the number of patients the pharmacists serve was 11-20 (OR 4.23; 95% CI 3.54-5.06) and being trained on DM prevention and management (OR 1.33; 95% CI 1.11-1.59). The most commonly reported barriers to providing counseling and health promotion services for diabetes mellitus (DM) in community pharmacies include a lack of coordination with other healthcare professionals (77%) and insufficient knowledge or clinical skills (68.7%). Conclusion: Our study revealed that community pharmacy staff members displayed a noteworthy level of involvement in providing pharmaceutical care services for patients with diabetes mellitus. Based on these findings, it is recommended to enhance pharmacy education by incorporating more advanced, evidence-based training and curricula focusing on disease management and appropriate therapies, particularly for diabetes.

Assessment of Serum 25-Hydroxyvitamin D and Its Association in Type 2 Diabetes Mellitus Elderly Patients with Kidney Disease: A Retrospective Cross Sectional Study.

The overall aim of this study is to determine the prevalence of vitamin D deficiency and its association with diabetic nephropathy in elderly patients with type 2 diabetes mellitus. This study is a single center retrospective cross-sectional design conducted at private medical center. The study group included all patients (18 years or older) suffering from type 2 diabetes mellitus that attended the diabetic clinic from September 2019 to January 2021. The main outcome variable is a trough level of (<20 ng/mL) for 25OHD. The patients were categorized as having diabetic nephropathy based on estimated glomerular filtration rate (eGFR). Total glycated hemoglobin (HbA1c), creatinine serum, Alb: Cr ratio, total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), systolic blood pressure (SBP) and diastolic blood pressure (DBP) were compared between vitamin D deficiency groups. Univariate and multivariate logistic regression was used to investigate the association between vitamin D deficiency and other significant anthropometric and biochemical factors. A p value < 0.05 was chosen as the criterion to make decisions regarding statistical significance. Among the 453 diabetic patients included in study, 48.6% (n = 220) were male and 51.4% (n = 233) were female. The mean age ± S.D of the patients was 54.5 ± 10.6 years old. Out of 453 diabetic patients, 71.1% (95% CI: 66.9%-75.3%) had vitamin D deficiency (25OHD < 20 ng/mL). There was a statistically significant association between 25OHD level and diabetic nephropathy in elderly patients with type 2 diabetes mellitus. Diabetic patients with e-GFR < 60 mL/min more likely to have vitamin D deficiency (p < 0.001). Similarly, individuals with Alb: Cr ratio > 30 mg/g were more likely to have vitamin D deficiency (p < 0.001). Moreover, diabetic patients with serum creatinine > 1.8 mg/dL were more likely to have vitamin D deficiency (p < 0.001). The study revealed a high prevalence of vitamin D deficiency in elderly patients with type 2 diabetes mellitus. A significant association was reported between 25-hydroxyvitamin D, e-GFR and Alb: Cr ratio.

Diabetes Mellitus and Renal Function: Current Medical Research and Opinion.

Diabetes mellitus (DM), which is defined as high blood glucose level, is a major public health issue worldwide. An enormous amount of data has been gathered regarding DM as populations have been living with it for more than a decade; however, continually updating our knowledge of DM remains important. Comorbidities are among the major challenges associated with DM. Poorly controlled DM, especially type 2 DM (T2DM), is considered a risk factor for many diseases, including but not limited to chronic kidney disease (CKD). Complications might appear over time as the aging process changes body functions; moreover, a significant number of antidiabetic medications are eventually cleared by the kidneys, thereby increasing the burden on kidney function and placing diabetic patients at risk. The significantly high number of patients with uncontrolled diabetes resulting from kidney disease shows the impact of this condition on the quality of life of patients. This review presents an overview of the pathophysiology, etiology, and prevalence of CKD and abnormal renal parameters correlated with poorly controlled T2DM, with an emphasis on clinical studies involving the association between vitamin D insufficiency/deficiency and CKD among patients with T2DM.

Mutations in PYCR1 cause cutis laxa with progeroid features.

Autosomal recessive cutis laxa (ARCL) describes a group of syndromal disorders that are often associated with a progeroid appearance, lax and wrinkled skin, osteopenia and mental retardation. Homozygosity mapping in several kindreds with ARCL identified a candidate region on chromosome 17q25. By high-throughput sequencing of the entire candidate region, we detected disease-causing mutations in the gene PYCR1. We found that the gene product, an enzyme involved in proline metabolism, localizes to mitochondria. Altered mitochondrial morphology, membrane potential and increased apoptosis rate upon oxidative stress were evident in fibroblasts from affected individuals. Knockdown of the orthologous genes in Xenopus and zebrafish led to epidermal hypoplasia and blistering that was accompanied by a massive increase of apoptosis. Our findings link mutations in PYCR1 to altered mitochondrial function and progeroid changes in connective tissues.