Validation of a Classification Algorithm for Chronic Kidney Disease Based on Health Information Systems.

ABSTRACT:

Background

Chronic kidney disease (CKD) is a common condition, characterized by high burden of comorbidities, mortality and costs. There is a need for developing and validating algorithm for the diagnosis of CKD based on administrative data.

Methods

We validated our previously developed algorithm that used administrative data of the Lazio Region (central Italy) to define the presence of CKD on the basis of serum creatinine measurements performed between 2012 and 2015 at the Policlinico Gemelli Hospital. CKD and advanced CKD were defined according to eGFR (<60 and <30 mL/min/1.73 m², respectively). Sensitivity, specificity, positive and negative predictive values (PPV/NPV) were computed.

Results

During the time span of the study, 30,493 adult participa

SUBMITTER: Ferraro PM 

PROVIDER: S-EPMC9144354 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature