Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis

AIM: Treatment algorithms define lines of glucose lowering medications (GLM) for the management of type 2 diabetes (T2D), but whether therapeutic trajectories are associated with major adverse cardiovascular events (MACE) is unclear. We explored whether the temporal resolution of GLM usage discrimin...

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Detalles Bibliográficos
Autores principales: Longato, Enrico, Di Camillo, Barbara, Sparacino, Giovanni, Avogaro, Angelo, Fadini, Gian Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396779/
https://www.ncbi.nlm.nih.gov/pubmed/35996111
http://dx.doi.org/10.1186/s12933-022-01600-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396779/
https://www.ncbi.nlm.nih.gov/pubmed/35996111
http://dx.doi.org/10.1186/s12933-022-01600-x

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