PATIENTS AND METHODS: We collected 1-year follow-up data from records of 98 diabetic KTRs on SGLT2I, 41 on GLP- 1RA and 70 on standard-of-care medicines. Patients were more than 3 months post-transplant with a minimum estimated glomerular filtration rate (eGFR) of 25 ml/min/1.73 m2 . Demographic data were similar except for a slightly lower HbA1c in the control group and higher albuminuria in SGLT2i group.
RESULTS: HbA1c dropped significantly by .4% in both SGLT2i and GLP-1RA compared to .05% in the control group. A significant decrease in BMI by .32 in SGLT2i and .34 in GLP-1RA was observed compared to an increase by .015 in control group. A tendency for better eGFR in study groups was observed but was non-significant except for the SGLT2i group with an eGFR above 90 (p = .0135). The usual dip in eGFR was observed in the SGLT2i group at 1-3 months. Albuminuria was significantly reduced in both study groups. Adverse events were minimal with comparable safety in all groups.
CONCLUSION: The use of SGLT2i and GLP-1RA appears to be effective and safe in diabetic KTRs with good outcomes. Randomized control trials are required to confirm these findings and establish guidelines.
METHOD: This research commenced with retrieving protein structures from the RCSB database, generating the formation of ligands using the ChemDraw Professional software, conducting molecular docking with the Autodock Vina software, and performing molecular dynamics simulations using the Amber software, along with the evaluation of RMSD values and intermolecular hydrogen bonds. Free energy, electrostatic interactions, and Van der Waals interaction were calculated using MM/GBSA. Acarbose, used as a positive control, and maltose are simulated together with test compound that has the best free energy. The forcefields used for molecular dynamics simulations are ff19SB, gaff2, and tip3p.
OBJECTIVE: To assess the effects of pharmacist-led interventions within DMTAC on the outcomes of patients with type 2 diabetes mellitus in two distinct hospitals in Kedah, Malaysia.
METHODS: Patients with type 2 diabetes were randomly selected from the two hospitals included in this study. The study population was divided into two equal groups. The control group consisted of 200 patients receiving routine care from the hospitals. On the other hand, the intervention group included those patients with type 2 diabetes (200), who received separate counseling sessions from pharmacists in the DMTAC departments along with the usual treatment. The study lasted 1 year, during which both study groups participated in two distinct visits.
RESULTS: Parametric data were analyzed by a paired t-test and one-way ANOVA, while non-parametric data were analyzed by a Chi-squared test using SPSS v24. A p
METHODS: Muslim people with diabetes and CKD were surveyed in 13 countries shortly after the end of Ramadan 2020, using a simple Survey Monkey questionnaire.
RESULTS: This survey recruited 6736 people with diabetes, of which 707 (10.49%) had CKD. There were 118 (16.69%) people with type1 diabetes (T1D), and 589 (83.31%) were with type2 diabetes (T2D). 62 (65.24%) people with T1D and 448 (76.06%) people with T2D had fasted with CKD. Episodes of hypoglycaemia and hyperglycaemia were more frequent among people with T1D compared to T2D, 64.52% and 43.54% vs 25.22% and 22.32% respectively. Visits to the emergency department and hospitalization were more frequent among people with CKD, however no significant difference was found between people with T1D and T2D.
CONCLUSION: The COVID-19 pandemic had only a minor effect on the intention to fast during Ramadan in people with diabetes and CKD. However, hypoglycaemia and hyperglycaemia were found to be more frequent, as well as emergency visits and hospital admissions among people with diabetic kidney disease. Prospective studies are needed in future to evaluate the risk indicators of hypoglycaemia and hyperglycaemia among fasting people with CKD, especially in the context of different stages of kidney disease.
OBJECTIVE: This study examines how patients with diabetes mellitus responded towards their clinical treatments, where the probability distribution of patients and the types of treatment received were derived from the Rasch probabilistic model.
METHODS: This is a retrospective study wherein data were collected from patients' medical records at a local public hospital in Selangor, Malaysia. Clinical and demographic information such as fasting blood glucose, hemoglobin A1c (HbA1c), family history, type of diabetes (type 1 or type 2), types of medication (oral or insulin), compliance with treatments, gender, race and age were chosen as the agents of measurement.
RESULTS: The use of Rasch analysis in the present study helped to compare the patients' responses towards the DM treatments and identify the types of treatment they received. Results from the Wright map show that a majority of the diabetes mellitus patients who were diagnosed with type 2 diabetes have no controlled readings of HbA1c during their first and second visits to the medical center. However, patients with a family history of diabetes mellitus who took oral medication have controlled readings of fasting blood glucose based on the probabilistic outcomes of the treatment received by the patients.
CONCLUSION: Controlled readings were found only in the readings of fasting blood glucose during the first and second visits, followed by family history, types of medication received, and compliance with the treatment. This study has recommended that type 2 patients with diabetes without a family history of diabetes mellitus need to exercise more control over the readings of HbA1c.