Classifying and Predicting Long-term Pain and Function in Older Adults

University of Washington

Status

Completed

Conditions

Chronic Pain

Pain

Study type

Observational

Funder types

Other

Identifiers

NCT04864223

STUDY00005507

Details and patient eligibility

About

This project will use novel methods to detect clinically meaningful subgroups of older adults based on long-term trajectories of bothersome pain and function. It will then identify older adults at high risk of experiencing poor long-term pain and function. Anticipated results will provide new insights into long-term patterns of pain and function across the aging process and identify potential predictors of each trajectory.

Full description

The long-term goal of this planned line of research is to reduce the burden of pain and maximize function in older adults as they age. This line of research will begin by completing the following Aims: Aim 1) Identify and describe clinically meaningful long-term trajectories of bothersome pain and functional decline in a population-based sample of older adults and Aim 2) Estimate the association between candidate prognostic factors typically available in electronic health records and long-term bothersome pain and function trajectories to inform the development of eventual risk prediction models. This will be a retrospective cohort study using longitudinal data from the population-based National Health and Aging Trends Study (NHATS). This project will use novel methods to identify clinically meaningful subgroups of older adults based on long-term trajectories of bothersome pain and function. Group-based trajectory modeling (GBTM) is a novel method to model dynamic phenomena such as pain and function. Older adults at high risk of experiencing poor long-term pain and function outcomes will be identified by leveraging potential prognostic factors typically available in electronic health records or administrative data. It is anticipated that our results will provide new insights into long-term patterns of pain and function across the aging process and identify potential predictors of each trajectory.

Enrollment

6,783 patients

Sex

All

Ages

65+ years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria