Euglycemic Ketoacidosis in a Patient without Diabetes Taking Sodium-Glucose Cotransporter 2 Inhibitors for Heart Failure.

BACKGROUND Sodium-glucose cotransporter 2 (SGLT2) inhibitors are used to improve the prognosis of patients with diabetes, heart failure, or chronic kidney disease. The use of SGLT2 inhibitors in patients without diabetes is expected to increase. Diabetic ketoacidosis is a severe complication of SGLT2 inhibitors in patients with diabetes. People without diabetes are thought to be less likely to develop ketoacidosis, and reports of SGLT2 inhibitor-induced ketoacidosis are uncommon in people without diabetes. CASE REPORT Herein, we describe a case of ketoacidosis in an 83-year-old Japanese woman without diabetes who was administered SGLT2 inhibitors for heart failure (ejection fraction: approximately 30%). Two weeks prior to admission, she had suffered a vertebral fracture and rib fracture due to a fall, which was followed by anorexia, but she continued to take SGLT2 inhibitors. On admission, blood test results revealed a blood glucose level of 124 mg/dL, hemoglobin A1C level of 5.9%, pH of 7.329, HCO3⁻ concentration of 14.3 mmol/L, and a ß-hydroxybutyrate concentration of 5150 µmol/L, leading to a diagnosis of euglycemic ketoacidosis. The patient's C-peptide level was consistent with the blood glucose levels on admission, indicating that she had adequate insulin secretion. The patient was treated only with glucose administration without insulin and was discharged after discontinuation of the SGLT2 inhibitor. CONCLUSIONS This case illustrates that patients with or without diabetes may develop SGLT2 inhibitor-related ketoacidosis after several days of inadequate food intake; therefore, patients should be informed of this risk.

Complete Right Bundle Branch Block as a Predictor of Cardiovascular Events in Type 2 Diabetes.

Complete right bundle branch block (CRBBB) is generally regarded as a clinically insignificant abnormality on an electrocardiogram, although its predictive value for cardiovascular events in type 2 diabetes mellitus (T2DM) is unknown. We examined the association of CRBBB with cardiovascular events during a 6-year follow-up in a single-center cohort study. The Fine-Gray model was used to analyze the independent association between CRBBB and composite cardiovascular events including cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, and hospitalization for heart failure during follow up. We analyzed the data of 370 T2DM patients including 62 patients with pre-existing heart disease. CRBBB was found in 34 patients (9.2%). The composite cardiovascular outcome was recorded in 32 patients. When analyzed with the Fine-Gray model with inverse probability of treatment weighting, CRBBB was significantly associated with a higher risk of the cardiovascular outcome (hazard ratio, 2.55; 95% confidence interval, 1.04 to 6.26; p = 0.041). This association remained significant even after further adjustment for each of the potential confounders. This study suggested that CRBBB was an independent predictor of cardiovascular events in T2DM. Further studies with a larger sample size are warranted.