Development and external validation of a diagnostic model for biopsy-proven acute interstitial nephritis using electronic health record data.

ABSTRACT:

Background

Patients with acute interstitial nephritis (AIN) can present without typical clinical features, leading to a delay in diagnosis and treatment. We therefore developed and validated a diagnostic model to identify patients at risk of AIN using variables from the electronic health record.

Methods

In patients who underwent a kidney biopsy at Yale University between 2013 and 2018, we tested the association of >150 variables with AIN, including demographics, comorbidities, vital signs and laboratory tests (training set 70%). We used least absolute shrinkage and selection operator methodology to select prebiopsy features associated with AIN. We performed area under the receiver operating characteristics curve (AUC) analysis with internal (held-out test set 30%) and ext

SUBMITTER: Moledina DG 

PROVIDER: S-EPMC9755995 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature