Predicting hospitalization from real-world measures in patients with chronic kidney disease: A proof-of-principle study.

ABSTRACT:

Objective

To investigate if in-clinic measures of physical function and real-world measures of physical behavior and mobility effort are associated with one another and to determine if they predict future hospitalization in participants with chronic kidney disease (CKD).

Methods

In this secondary analysis, novel real-world measures of physical behavior and mobility effort, including the best 6-minute step count (B6SC), were derived from passively collected data from a thigh worn actigraphy sensor and compared to traditional in-clinic measures of physical function (e.g. 6-minute walk test (6MWT). Hospitalization status during 2 years of follow-up was determined from electronic health records. Correlation analyses were used to compare measures and Cox Regression analysis was u

SUBMITTER: Lyden K 

PROVIDER: S-EPMC10286549 | biostudies-literature | 2023 Jan-Dec

REPOSITORIES: biostudies-literature