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

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

Abstract 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 d...

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Bibliographic Details
Main Authors: Enrico Longato, Barbara Di Camillo, Giovanni Sparacino, Angelo Avogaro, Gian Paolo Fadini
Format: Article
Language:English
Published: BMC 2022-08-01
Series:Cardiovascular Diabetology
Subjects:
Artificial intelligence
Prediction
Algorithm
Epidemiology
Online Access:https://doi.org/10.1186/s12933-022-01600-x

Internet

https://doi.org/10.1186/s12933-022-01600-x

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