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4545 Identifying Symptom Pattern Trajectories among Heart Failure Patients in a Palliative Care Trial: A Work In Progress

Published online by Cambridge University Press:  29 July 2020

Macy Lynn Stockdill
Affiliation:
University of Alabama at Birmingham
Christopher Lee
Affiliation:
Boston College
J. Nicholas Dionne-Odom
Affiliation:
University of Alabama at Birmingham
Bradley Aouizerat
Affiliation:
New York University
Raegan Durant
Affiliation:
University of Alabama at Birmingham
Andres Azuero
Affiliation:
University of Alabama at Birmingham
Marie Bakitas
Affiliation:
University of Alabama at Birmingham
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Abstract

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OBJECTIVES/GOALS: This work-in-progress aims to: 1) identify and differentiate symptom pattern trajectories in a sample of older adult heart failure (HF) patients over 24 weeks, and 2) examine associations between sociodemographic/clinical/physiological characteristics, dyadic health, and symptom trajectories. METHODS/STUDY POPULATION: ENABLE CHF-PC, a palliative care RCT (NCT02505425), was conducted at a Southeastern US medical center. Between 2016-2018, 415 older adult HF patients and 159 family caregivers were randomized to receive a psychoeducational intervention or usual care. Baseline sociodemographic information (age, gender, rurality, etc.) were collected. Outcome variables of interest include symptoms (Kansas City Cardiomyopathy Questionnaire (KCCQ), Functional Assessment of Chronic Illness Therapy-Palliative 14, Hospital Anxiety and Depression Scale (HADS)) and dyadic health (PROMIS-SF Global Health). We have calculated baseline descriptive statistics. Future work includes latent growth mixture modeling to identify distinct symptom trajectories and univariate associations with patient level factors. RESULTS/ANTICIPATED RESULTS: Of 415 patient participants, mean age was 64, 53% were male; 55% were African American; 26% were rural dwellers; 46% had +15.8) and low anxiety (6.7+3.6) and depressive symptoms (5.7+4.3) on the HADS. Of 159 family caregivers participants, the mean age was 57.9, 85.4% were female, 51.9% were African-American, and 65.2% were the patient’s spouse/partner. DISCUSSION/SIGNIFICANCE OF IMPACT: Limited data describes HF symptom pattern trajectories.How co-occurring symptoms affect quality of life or are affected by personal or situational factors are not well-understood. This study will help to identify factors and symptom phenotypes that may serve as targets for future interventions.

Type
Translational Science, Policy, & Health Outcomes Science
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2020