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

• Main Authors: Lanting Yang (Author), Nico Gabriel (Author), Inmaculada Hernandez (Author), Scott M. Vouri (Author), Stephen E. Kimmel (Author), Jiang Bian (Author), Jingchuan Guo (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: 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...