Identifying Patients at Risk of Acute Kidney Injury Among Medicare Beneficiaries With Type 2 Diabetes Initiating SGLT2 Inhibitors: A Machine Learning Approach

• Үндсэн зохиолчид: Lanting Yang (Зохиогч), Nico Gabriel (Зохиогч), Inmaculada Hernandez (Зохиогч), Scott M. Vouri (Зохиогч), Stephen E. Kimmel (Зохиогч), Jiang Bian (Зохиогч), Jingchuan Guo (Зохиогч)
• Формат: Ном
• Хэвлэсэн: Frontiers Media S.A., 2022-03-01T00:00:00Z.
• Нөхцлүүд: article
• Онлайн хандалт: Connect to this object online.

Introduction: To predict acute kidney injury (AKI) risk in patients with type 2 diabetes (T2D) prescribed sodium-glucose cotransporter two inhibitors (SGLT2i).Methods: Using a 5% random sample of Medicare claims data, we identified 17,694 patients who filled ≥1 prescriptions for canagliflozin, dapag...