Literature DB >> 27666158

Nested Cohort Study to Identify Characteristics That Predict Near-Term Disablement From Lung Cancer Brain Metastases.

Andrea L Cheville1, Jeffrey R Basford2, Ian Parney3, Ping Yang4, Felix E Diehn5.   

Abstract

OBJECTIVE: To test whether the presence of patient- and imaging-level characteristics (1) are associated with clinically meaningful changes in mobility among patients with late-stage cancer with metastatic brain involvement, and (2) can predict their risk of near-term functional decline.
DESIGN: Prospective nested cohort study.
SETTING: Quaternary academic medical center. PARTICIPANTS: The study population consisted of a nested cohort of the patients with imaging-confirmed brain metastases (n=66) among a larger cohort of patients with late-stage lung cancer (N=311).
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Functional evaluations with the Activity Measure for Post-Acute Care Computer Adaptive Test (AM-PAC-CAT) and symptom intensity ratings were collected at monthly intervals for up to 2 years.
RESULTS: In exploratory univariate models, whole brain radiation therapy (WBRT) and imaging findings of cerebellar or brainstem involvement were associated with large AM-PAC-CAT score declines reflecting worsening mobility (-4.55, SE 1.12; -2.87, SE, 1.0; and -3.14, SE 1.47, respectively). Also in univariate models, participants with new neurologic signs or symptoms at imaging (-2.48; SE .99), new brain metastases (-2.14, SE .99), or new and expanding metastases (-2.64, SE 1.14) declined significantly. Multivariate exploratory mixed logistic models, including WBRT, cerebellar/brainstem location, presence of new and expanding metastases, and worst pain intensity, had excellent predictive capabilities for AM-PAC-CAT score declines of 7.5 and 10 points (C statistics ≥0.8).
CONCLUSIONS: Among patients with lung cancer and brain metastases, cerebellar/brainstem location, new and expanding metastases, and treatment with WBRT may predict severe, near-term mobility losses and indicate a need to consider rehabilitation services.
Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Decision support techniques; Lung neoplasms; Mobility limitation; Neoplasm metastasis; Radiotherapy; Rehabilitation

Mesh:

Year:  2016        PMID: 27666158      PMCID: PMC5557285          DOI: 10.1016/j.apmr.2016.08.473

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  31 in total

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