Prevalence of chronic kidney disease in the Lazio region, Italy: a classification algorithm based on health information systems.

Claudia MarinoPietro Manuel FerraroMatteo BargagliSilvia CasciniNera AgabitiGiovanni GambaroMarina Davoli

Published in: BMC nephrology (2020)

The proposed algorithm represents a novel tool to monitor the burden of CKD disease, that can be used by the regional government to guide the development and implementation of evidence-based pathways of care for CKD patients. The high prevalence of people with CKD of lower severity should be carefully considered in order to promote diagnosis and optimal management at early stages.

Keyphrases

chronic kidney disease
end stage renal disease
health information
machine learning
deep learning
healthcare
social media
quality improvement
risk factors
primary care
peritoneal dialysis
palliative care
newly diagnosed
pain management
prognostic factors
patient reported