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

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...

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Principais autores:	Lanting Yang, Nico Gabriel, Inmaculada Hernandez, Scott M. Vouri, Stephen E. Kimmel, Jiang Bian, Jingchuan Guo
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-03-01
coleção:	Frontiers in Pharmacology
Assuntos:	AKI (acute kidney injury) SGLT2i machine learning (ML) type 2 dabetes medicare
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fphar.2022.834743/full
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