Literature DB >> 30739635

Actigraphy as an assessment of performance status in patients with advanced lung cancer.

Daisuke Fujisawa1,2, Jennifer S Temel1, Joseph A Greer1, Areej El-Jawahri1, Lara Traeger1, Jamie M Jacobs1, Stacy Cutrono3, William F Pirl1,4.   

Abstract

OBJECTIVE: Wearable devices such as a wrist actigraph may have a potential to objectively estimate patients' functioning and may supplement performance status (PS). This proof-of-concept study aimed to evaluate whether actigraphy data are significantly associated with patients' functioning and are predictive of their survival in patients with metastatic non-small cell lung cancer.
METHOD: We collected actigraphy data for a three-day period in ambulatory patients with stage IV non-small cell lung cancer. We computed correlations between actigraphy data (specifically, proportion of time spent immobile while awake) and clinician-rated PS, subjective report of physical activities, quality of life (the Functional Assessment of Cancer Therapy - Trial Outcome Index), and survival. RESULT: Actigraphy data (the proportion of time awake spent immobile) were significantly correlated with Functional Assessment of Cancer Therapy - Trial Outcome Index (r = -0.53, p < 0.001) and with the Eastern Cooperative Oncology Group PS (ECOG PS) (r = 0.37, p < 0.001). The proportion of time awake spent immobile was significantly associated with worse survival. For each 10% increase in this measure, the hazard ratio (HR) was 1.48 (95% confidence interval [CI95%] = 1.06, 2.06) for overall mortality, and odds ratio was 2.99 (CI95% = 1.27, 7.05) for six-month mortality. ECOG PS was also associated with worse survival (HR = 2.80, CI95% = 1.34, 5.86). Among patients with ECOG PS 0-1, the percentage of time awake spent immobile was significantly associated with worse survival, HR = 1.93 (CI95% = 1.10, 3.42), whereas ECOG PS did not predict survival. SIGNIFICANCE OF
RESULTS: Actigraphy may have potential to predict important clinical outcomes, such as quality of life and survival, and may serve to supplement PS. Further validation study is warranted.

Entities:  

Keywords:  Actigraph; Cancer; Performance status; Physical activity; Survival

Mesh:

Year:  2019        PMID: 30739635     DOI: 10.1017/S1478951518001074

Source DB:  PubMed          Journal:  Palliat Support Care        ISSN: 1478-9515


  7 in total

1.  Comparison of Sleep Quality before and after Chemotherapy in Locally Advanced Nonsmall Cell Lung Cancer Patients: A Prospective Study.

Authors:  N Belloumi; S Maalej Bellaj; I Bachouche; F Chermiti Ben Abdallah; S Fenniche
Journal:  Sleep Disord       Date:  2020-06-30

Review 2.  Actigraphy-measured rest-activity circadian rhythm disruption in patients with advanced cancer: a scoping review.

Authors:  Ariesta Milanti; Dorothy N S Chan; Caixia Li; Winnie K W So
Journal:  Support Care Cancer       Date:  2021-06-17       Impact factor: 3.603

3.  Physical Activity and Its Association with Traditional Outcome Measures in Pulmonary Arterial Hypertension.

Authors:  Jasleen Minhas; Haochang Shou; Steven Hershman; Roham Zamanian; Corey E Ventetuolo; Todd M Bull; Anna Hemnes; Murali M Chakinala; Stephen Mathai; Nadine Al-Naamani; Susan Ellenberg; Lea Ann Matura; Steven M Kawut; Anna Shcherbina
Journal:  Ann Am Thorac Soc       Date:  2022-04

4.  Quantified Kinematics to Evaluate Patient Chemotherapy Risks in Clinic.

Authors:  Zaki Hasnain; Tanachat Nilanon; Ming Li; Aaron Mejia; Anand Kolatkar; Luciano Nocera; Cyrus Shahabi; Frankie A Cozzens Philips; Jerry S H Lee; Sean E Hanlon; Poorva Vaidya; Naoto T Ueno; Sriram Yennu; Paul K Newton; Peter Kuhn; Jorge Nieva
Journal:  JCO Clin Cancer Inform       Date:  2020-06

5.  Sedentary Behaviour, Physical Activity, and Their Associations with Health Outcomes at the Time of Diagnosis in People with Inoperable Lung Cancer.

Authors:  Shu Ning Ch'ng; Joanne A McVeigh; David Manners; Terry Boyle; Carolyn J Peddle-McIntyre; Rajesh Thomas; Jeanie Leong; Samantha Bowyer; Kirsten Mooney; Leon Straker; Daniel A Galvão; Vinicius Cavalheri
Journal:  J Clin Med       Date:  2022-10-04       Impact factor: 4.964

6.  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

Review 7.  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

  7 in total

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