Machine Learning-Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease.

ABSTRACT:

Background

Ambulatory blood pressure monitoring (ABPM) is routinely performed in children with chronic kidney disease to identify masked hypertension, a risk factor for accelerated chronic kidney disease progression. However, ABPM is burdensome, and developing an accurate prediction of masked hypertension may allow using ABPM selectively rather than routinely.

Methods

To create a prediction model for masked hypertension using clinic blood pressure (BP) and other clinical characteristics, we analyzed 809 ABPM studies with nonhypertensive clinic BP among the participants of the Chronic Kidney Disease in Children study.

Results

Masked hypertension was identified in 170 (21.0%) observations. We created prediction models for masked hypertension via gradient boosting, rando

SUBMITTER: Bae S 

PROVIDER: S-EPMC9378451 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature