Literature DB >> 31398385

Daily Step Counts: A New Prognostic Factor in Locally Advanced Non-Small Cell Lung Cancer?

Nitin Ohri1, Balazs Halmos2, William R Bodner3, Haiying Cheng2, Chandan Guha2, Shalom Kalnicki3, Madhur Garg3.   

Abstract

PURPOSE: Here we explore the prognostic value of baseline step count data captured using wearable devices for patients treated with definitive chemoradiation therapy for locally advanced non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: Patients with locally advanced NSCLC wore a commercial fitness tracker during a course of definitive, concurrent chemoradiation therapy as part of a clinical trial. Baseline step count average was defined as the average daily step total from study enrollment until completion of the first week of radiation therapy. Based on data from healthy individuals, study subjects were categorized as inactive (below the 25th percentile), moderately active (25th to 75th percentile), or highly active (above the 75th percentile). Fisher's exact test was used to examine activity level as a predictor of hospitalization during radiation therapy and of completing the planned radiation therapy course without delay exceeding 1 week. Median progression-free survival (PFS) and overall survival (OS) durations were estimated using the Kaplan-Meier method. Inactivity was tested as a predictor of PFS and OS using Cox proportional hazards models.
RESULTS: Fifty subjects met eligibility criteria. Nine (18%) were categorized as highly active, 23 (46%) were moderately active, and 18 (36%) were inactive. Inactive subjects were more likely to be hospitalized during the radiation therapy course than other subjects (50% vs 9%, P = .004) and less likely to complete radiation therapy without delay exceeding 1 week (67% vs 97%, P = .006). Median PFS duration was 5.3 months for inactive subjects and 18.3 months for others (hazard ratio for inactivity = 5.10, P < .001). Median OS duration was 15.0 months for inactive subjects and not reached for others (hazard ratio = 3.91, P = .004). Performance status was not a significant predictor of PFS or OS.
CONCLUSIONS: Baseline activity level measured using wearable devices may help identify patients with NSCLC who are fit for concurrent chemoradiation therapy and can predict clinical outcomes in this setting.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2019        PMID: 31398385     DOI: 10.1016/j.ijrobp.2019.07.055

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  11 in total

Review 1.  Innovations in research and clinical care using patient-generated health data.

Authors:  Heather S L Jim; Aasha I Hoogland; Naomi C Brownstein; Anna Barata; Adam P Dicker; Hans Knoop; Brian D Gonzalez; Randa Perkins; Dana Rollison; Scott M Gilbert; Ronica Nanda; Anders Berglund; Ross Mitchell; Peter A S Johnstone
Journal:  CA Cancer J Clin       Date:  2020-04-20       Impact factor: 508.702

2.  Continuous Long-Term Physical Activity Monitoring in Hemodialysis Patients.

Authors:  Brandon Cohen; Samhitha Munugoti; Sonia Kotwani; Lovepreet S Randhawa; Solomon Dalezman; Antonio C Elters; Kate Nam; Jose S Ibarra; Sandheep Venkataraman; William Paredes; Nitin Ohri; Matthew K Abramowitz
Journal:  Kidney360       Date:  2022-07-13

3.  Assessing Physical and Cognitive Function in Individuals With Head and Neck Cancer: A Feasibility Study.

Authors:  Moira A Visovatti; Mi Sook Jung; Heidi Mason; Mary Beth DeRubeis; Francis P Worden; Debra L Barton
Journal:  Cancer Nurs       Date:  2022-01-12       Impact factor: 2.760

4.  Pilot Study of a Wearable Activity Monitor During Head and Neck Radiotherapy to Predict Clinical Outcomes.

Authors:  David J Sher; Sepeadeh Radpour; Jennifer L Shah; Nhat-Long Pham; Steve Jiang; Dat Vo; Baran D Sumer; Andrew T Day
Journal:  JCO Clin Cancer Inform       Date:  2022-03

5.  Preoperative Physical Activity Predicts Surgical Outcomes Following Lung Cancer Resection.

Authors:  Andrea Billé; James Buxton; Alessandro Viviano; David Gammon; Lukacs Veres; Tom Routledge; Karen Harrison-Phipps; Allison Dixon; Marco A Minetto
Journal:  Integr Cancer Ther       Date:  2021 Jan-Dec       Impact factor: 3.279

6.  "Randomized trial of physical activity on quality of life and lung cancer biomarkers in patients with advanced stage lung cancer: a pilot study".

Authors:  Brett C Bade; Geliang Gan; Fangyong Li; Lingeng Lu; Lynn Tanoue; Gerard A Silvestri; Melinda L Irwin
Journal:  BMC Cancer       Date:  2021-04-01       Impact factor: 4.430

7.  The effects of physical activity on overall survival among advanced cancer patients: a systematic review and meta-analysis.

Authors:  Naomi Takemura; Siu Ling Chan; Robert Smith; Denise Shuk Ting Cheung; Chia-Chin Lin
Journal:  BMC Cancer       Date:  2021-03-07       Impact factor: 4.430

8.  Impact of Physical Inactivity on the Risk of Disability and Hospitalization in Older Patients with Advanced Lung Cancer.

Authors:  Yusuke Yonenaga; Tateaki Naito; Taro Okayama; Midori Kitagawa; Noriko Mitsuhashi; Takeshi Ishii; Hiroshi Fuseya; Toshimi Inano; Ayumu Morikawa; Miwa Sugiyama; Keita Mori; Akifumi Notsu; Takanori Kawabata; Akira Ono; Hirotsugu Kenmotsu; Haruyasu Murakami; Akira Tanuma; Toshiaki Takahashi
Journal:  J Multidiscip Healthc       Date:  2021-06-21

9.  The Use of Wearables in Clinical Trials During Cancer Treatment: Systematic Review.

Authors:  Ulrikke Lyng Beauchamp; Helle Pappot; Cecilie Holländer-Mieritz
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-11       Impact factor: 4.773

Review 10.  The association between wearable activity monitor metrics and performance status in oncology: a systematic review.

Authors:  Milan Kos; Esther N Pijnappel; Laurien M Buffart; Britt R Balvers; Caroline S Kampshoff; Johanna W Wilmink; Hanneke W M van Laarhoven; Martijn G H van Oijen
Journal:  Support Care Cancer       Date:  2021-06-12       Impact factor: 3.603

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