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, dapa...

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Detalles Bibliográficos
Autores principales: Yang, Lanting, Gabriel, Nico, Hernandez, Inmaculada, Vouri, Scott M., Kimmel, Stephen E., Bian, Jiang, Guo, Jingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961669/
https://www.ncbi.nlm.nih.gov/pubmed/35359843
http://dx.doi.org/10.3389/fphar.2022.834743

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961669/
https://www.ncbi.nlm.nih.gov/pubmed/35359843
http://dx.doi.org/10.3389/fphar.2022.834743

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