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ABSTRACT: Background
Understanding how components of frailty change over time and how they can be modeled as time-dependent predictors of mortality could lead to better risk prediction in the dialysis population.Methods
We measured frailty at baseline, 12 months, and 24 months among 727 patients receiving hemodialysis in Northern California and Atlanta. We examined the likelihood of meeting frailty components (weight loss, exhaustion, low physical activity, weak grip strength, and slow gait speed) as a function of time in logistic regression analysis and association of frailty components with mortality in time-updated multivariable Cox models.Results
Physical activity and gait speed declined, exhaustion and grip strength did not change, and the odds of meeting the weight loss
SUBMITTER: Johansen KL
PROVIDER: S-EPMC6376100 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature