To retrieve values of albuminuria to define the size of CKD patients eligible to SGLT-2Is: An explorative analysis using a primary care database.

Francesco LapiEttore MarconiGaetano PiccinocchiGerardo MedeaCarlo PiccinniAldo Pietro MaggioniClaudio Cricelli

Published in: Pharmacoepidemiology and drug safety (2023)

Besides being a reminder for GPs to prescribe and register albuminuria in certain patients' categories, these determinants might be translated into an operational algorithm to input ACR values in administrative data sources. Scenarios for the reimbursement criteria regulating SGLT-2Is to treat CKD would be therefore simulated on more inferable estimates.

Keyphrases

end stage renal disease
chronic kidney disease
primary care
ejection fraction
prognostic factors
peritoneal dialysis
emergency department
deep learning
patient reported outcomes
big data
neural network