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AIM: To evaluate the long-term safety and efficacy of enavogliflozin 0.3 mg/day added to metformin in patients with type 2 diabetes mellitus. MATERIALS AND METHODS: After 24 weeks of a randomized, double-blind treatment period with enavogliflozin 0.3 mg/day (n = 101) or dapagliflozin 10 mg/day (n = 99) added to metformin, all patients received enavogliflozin 0.3 mg/day plus metformin for an additional 28 weeks during the open-label extension period. RESULTS: Eighty-two patients continued enavogliflozin (maintenance group), and 77 were switched from dapagliflozin to enavogliflozin (switch group). All adverse drug reactions (ADR) were mild in severity. In the maintenance group, ADRs (cystitis and vaginal infection) were reported in two patients (2.44%) during 52 weeks. In the switch group, ADR (hypoglycaemia) was reported in one patient (1.30%) during a 28-week open-label extension period. At week 52, glycated haemoglobin and fasting plasma glucose were significantly lower than at the baseline, by 0.85% and 29.08 mg/dl, respectively, in the maintenance group (p < .0001 for both), and by 0.81% and 32.77 mg/dl, respectively, in the switch group (p < .0001 for both). At week 52, 68.92% of patients from the maintenance group and 64.29% from the switch group achieved glycated haemoglobin <7%. A significant increase in the urine glucose-creatinine ratio was observed at week 52, by 58.81 g/g and 63.77 g/g in the maintenance and switch groups, respectively (p < .0001). CONCLUSIONS: Enavogliflozin added to metformin was tolerated well for up to 52 weeks and provided continual glycaemic control in type 2 diabetes mellitus, along with a significant increase in the urine glucose-creatinine ratio.
Assuntos
Compostos Benzidrílicos , Diabetes Mellitus Tipo 2 , Glucosídeos , Hipoglicemiantes , Metformina , Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Compostos Benzidrílicos/efeitos adversos , Compostos Benzidrílicos/uso terapêutico , Benzofuranos , Glicemia , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/complicações , Método Duplo-Cego , Quimioterapia Combinada , Glucosídeos/efeitos adversos , Glucosídeos/uso terapêutico , Glucosídeos/administração & dosagem , Hemoglobinas Glicadas/análise , Hipoglicemia/induzido quimicamente , Hipoglicemia/epidemiologia , Hipoglicemiantes/efeitos adversos , Hipoglicemiantes/uso terapêutico , Hipoglicemiantes/administração & dosagem , Metformina/efeitos adversos , Metformina/uso terapêutico , Metformina/administração & dosagem , Inibidores do Transportador 2 de Sódio-Glicose/efeitos adversos , Inibidores do Transportador 2 de Sódio-Glicose/uso terapêutico , Inibidores do Transportador 2 de Sódio-Glicose/administração & dosagem , Resultado do TratamentoRESUMO
CONTEXT: Thyrotoxicosis requires accurate and expeditious differentiation between Graves' disease (GD) and thyroiditis to ensure effective treatment decisions. OBJECTIVE: This study aimed to develop a machine learning algorithm using ultrasonography and Doppler images to differentiate thyrotoxicosis subtypes, with a focus on GD. METHODS: This study included patients who initially presented with thyrotoxicosis and underwent thyroid ultrasonography at a single tertiary hospital. A total of 7,719 ultrasonography images from 351 patients with GD and 2,980 images from 136 patients with thyroiditis were used. Data augmentation techniques were applied to enhance the algorithm's performance. Two deep learning models, Xception and EfficientNetB0_2, were employed. Performance metrics such as accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1 score were calculated for both models. Image pre-processing, neural network model generation, and neural network training results verification were performed using DEEP:PHI® platform. RESULTS: The Xception model achieved 84.94% accuracy, 89.26% sensitivity, 73.17% specificity, 90.06% PPV, 71.43% NPV, and an F1 score of 89.66 for the diagnosis of GD. The EfficientNetB0_2 model exhibited 85.31% accuracy, 90.28% sensitivity, 71.78% specificity, 89.71% PPV, 73.05% NPV, and an F1 score of 89.99. CONCLUSION: Machine learning models based on ultrasound and Doppler images showed promising results with high accuracy and sensitivity in differentiating GD from thyroiditis.
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One of the notable adverse effects of sodium-glucose cotransporter 2 (SGLT2) inhibitor is diabetic ketoacidosis (DKA) often characterized by euglycemia. In this retrospective review of patients with DKA from 2015 to 2023, 21 cases of SGLT2 inhibitorassociated DKA were identified. Twelve (57.1%) exhibited euglycemic DKA (euDKA) while nine (42.9%) had hyperglycemic DKA (hyDKA). More than 90% of these cases were patients with type 2 diabetes mellitus. Despite similar age, sex, body mass index, and diabetes duration, individuals with hyDKA showed poorer glycemic control and lower C-peptide levels compared with euDKA. Renal impairment and acidosis were worse in the hyDKA group, requiring hemodialysis in two patients. Approximately one-half of hyDKA patients had concurrent hyperosmolar hyperglycemic state. Common symptoms included nausea, vomiting, general weakness, and dyspnea. Seizure was the initial manifestation of DKA in two cases. Infection and volume depletion were major contributors, while carbohydrate restriction and inadequate insulin treatment also contributed to SGLT2 inhibitor-associated DKA. Despite their beneficial effects, clinicians should be vigilant for SGLT2 inhibitor risk associated with DKA.
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BACKGRUOUND: Recent diabetes management guidelines recommend that sodium-glucose cotransporter 2 inhibitors (SGLT2is) or glucagon-like peptide 1 receptor agonists (GLP-1RAs) with proven cardiovascular benefits should be prioritized for combination therapy in patients with type 2 diabetes mellitus (T2DM) and established cardiovascular disease (CVD). This study was aimed at evaluating SGLT2i or GLP-1RA usage rates and various related factors in patients with T2DM and established CVD. METHODS: We enrolled adults with T2DM aged ≥30 years who were hospitalized due to established CVD from January 2019 to May 2020 at 13 secondary and tertiary hospitals in Korea in this retrospective observational study. RESULTS: Overall, 2,050 patients were eligible for analysis among 2,107 enrolled patients. The mean patient age, diabetes duration, and glycosylated hemoglobin level were 70.0 years, 12.0 years, and 7.5%, respectively. During the mean follow-up duration of 9.7 months, 25.7% of the patients were prescribed SGLT2is after CVD events. However, only 1.8% were prescribed GLP-1RAs. Compared with SGLT2i non-users, SGLT2i users were more frequently male and obese. Furthermore, they had a shorter diabetes duration but showed worse glycemic control and better renal function at the time of the event. GLP-1RA users had a longer duration of diabetes and worse glycemic control at the time of the event than GLP-1RA non-users. CONCLUSION: The SGLT2i or GLP-1RA prescription rates were suboptimal in patients with T2DM and established CVD. Sex, body mass index, diabetes duration, glycemic control, and renal function were associated with the use of these agents.