Case report: Dynamic personalized physiological monitoring in lung cancer using wearable data Journal Article


Authors: Bliss, J. W.; Underwood, W. P.; Carlson, A. M.; Scott, J. M.; Daly, R.; Li, B. T.; Drilon, A.; Stetson, P.; Boutros, P. C.; Jones, L. W.
Article Title: Case report: Dynamic personalized physiological monitoring in lung cancer using wearable data
Abstract: Pretreatment prognostication, on-treatment monitoring, and early detection of physiological symptoms are considerable challenges in cancer. We describe the feasibility of high-resolution wearable data (steps per day, walking speed) to longitudinally profile physiological trajectories extracted from Apple Health data in three patients with lung cancer from diagnosis through cancer treatment after obtaining informed consent. We used descriptive statistics to describe our approach of building longitudinal physiological profiles. The wearable data monitoring period ranged from 58 to 135 weeks, with between 34,319 and 103,535 distinct digital physiological measures collected during this period—the equivalent to 41 measures per day/patient. Longitudinal profiling revealed that wearable data accurately captured physiological changes linked with clinical events such as surgery and hospitalizations as well as initiation (and cessation) of systemic cancer treatment in all three patients. These findings suggest that wearable devices could play a critical role in the management of lung cancer, although larger studies are needed to confirm these preliminary observations and validate their generalizability. Wearable devices hold significant promise for the development of personalized “digital biomarkers,” which may enhance risk stratification and management in oncology. Copyright © 2024 Bliss, Underwood, Carlson, Scott, Daly, Li, Drilon, Stetson, Boutros and Jones.
Keywords: exercise; lung cancer; functional status; prevention; physiologic monitoring; cancer; wearable sensors
Journal Title: Frontiers in Oncology
Volume: 14
ISSN: 2234-943X
Publisher: Frontiers Media S.A.  
Date Published: 2024-10-04
Start Page: 1420888
Language: English
DOI: 10.3389/fonc.2024.1420888
PROVIDER: scopus
PMCID: PMC11486691
PUBMED: 39429470
DOI/URL:
Notes: Article -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Alexander Edward Drilon
    637 Drilon
  2. Lee Winston Jones
    178 Jones
  3. Bob Tingkan Li
    279 Li
  4. Peter D Stetson
    52 Stetson
  5. Robert M Daly
    85 Daly
  6. Jessica M Scott
    71 Scott