Using CUSUM in real time to signal clinically relevant decreases in estimated glomerular filtration rate.

ABSTRACT:

Background

The electronic health record (EHR), utilized to apply statistical methodology, assists provider decision-making, including during the care of chronic kidney disease (CKD) patients. When estimated glomerular filtration (eGFR) decreases, the rate of that change adds meaning to a patient's single eGFR and may represent severity of renal injury. Since the cumulative sum chart technique (CUSUM), often used in quality control and surveillance, continuously checks for change in a series of measurements, we selected this statistical tool to detect clinically relevant eGFR decreases and developed CUSUM_GFR.

Methods

In a retrospective analysis we applied an age adjusted CUSUM_GFR, to signal identification of eventual ESKD patients prior to diagnosis date

SUBMITTER: Zafarnejad R 

PROVIDER: S-EPMC9389810 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature