Skip to main content

Main menu

  • Home
  • Our journals
    • Clinical Medicine
    • Future Healthcare Journal
  • Subject collections
  • About the RCP
  • Contact us

Clinical Medicine Journal

  • ClinMed Home
  • Content
    • Current
    • Ahead of print
    • Archive
  • Author guidance
    • Instructions for authors
    • Submit online
  • About ClinMed
    • Scope
    • Editorial board
    • Policies
    • Information for reviewers
    • Advertising

User menu

  • Log in

Search

  • Advanced search
RCP Journals
Home
  • Log in
  • Home
  • Our journals
    • Clinical Medicine
    • Future Healthcare Journal
  • Subject collections
  • About the RCP
  • Contact us
Advanced

Clinical Medicine Journal

clinmedicine Logo
  • ClinMed Home
  • Content
    • Current
    • Ahead of print
    • Archive
  • Author guidance
    • Instructions for authors
    • Submit online
  • About ClinMed
    • Scope
    • Editorial board
    • Policies
    • Information for reviewers
    • Advertising

Association of quality of life with performance status, circadian rhythm, and activity level of lung cancer patients using wearable devices as ambulatory monitoring

Maria Torrente, Pedro A Sousa, Fabio Franco, Ernestina Mensalvas, Virginia Calvo, Ana Collazo, Consuelo Parejo, Manuel Campos, Joao Pimentao and Mariano Provencio
Download PDF
DOI: https://doi.org/10.7861/clinmed.22-4-s36
Clin Med July 2022
Maria Torrente
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pedro A Sousa
BUniversidade Nova de Lisboa, Lisbon, Portugal
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fabio Franco
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ernestina Mensalvas
CUniversidad Politécnica de Madrid, Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Virginia Calvo
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ana Collazo
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Consuelo Parejo
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manuel Campos
DUniversity of Murcia, Murcia, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joao Pimentao
BUniversidade Nova de Lisboa, Lisbon, Portugal
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mariano Provencio
AHospital Universitario Puerta de Hierro Majadahonda, Majadahonda, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
Loading

Introduction

Lung cancer survivorship has two critical attributes: survival time or quantity and quality of life (QoL).1 After decades of efforts focusing on reducing lung cancer incidence and mortality, we are now challenged by the lack of understanding of the health conditions and QoL among people who survived lung cancer.2 Herein, we report on the first integration of clinical data, wearable devices and QoL questionnaires in order to determine the factors that predict poor health status and to design personalised interventions that will improve patients' QoL, based on clinical and real-world data.3–5

Methods

Patients diagnosed and treated at the medical oncology department at Puerta de Hierro University Hospital were included. Eligible patients were aged >18 years old, were diagnosed with non-small-cell lung cancer (all stages) and had an Eastern Cooperative Oncology Group score 0–1. Artificial intelligence (AI) and knowledge discovery (KD) techniques were used to integrate heterogeneous datasets and synthesise complex relationships within these large data sets. A watch-like wearable device (Kronowise 3.0, Kronohealth, Espinardo, Spain) was placed on a patient's wrist for a whole week, registering temperature, physical activity and light exposure for 24 hours a day. Written informed consent was obtained from all patients prior to the initiation of the study. The European Organisation for Research and Treatment of Cancer (EORTC) core quality of life questionnaire (EORTC QLQ-C30), designed to measure cancer patients' physical, psychological and social functions, was completed by all patients.

Results and discussion

A total of 140 patients were included in the study: 32 were diagnosed with localised disease (IA–IIIB), and 98 with advanced stage IIIC/IV receiving different treatments (radiotherapy, chemotherapy, immunotherapy, chemotherapy plus immunotherapy and tyrosine kinase inhibitors; Table 1). Results from QoL questionnaires showed that pain, dyspnoea and insomnia were the most common symptoms reported by lung cancer patients. Sixty-three per cent of patients reported mobility issues and 53% suffered from anxiety and depression. These results match the objective monitoring obtained from the wearable device, which showed sleeping disorders in 68% and lack of physical activity in 54% of patients, compared with healthy population parameters. Preliminary results suggest that wearable devices and QoL questionnaires are useful in detecting sleep disorders, inactivity and other factors that could influence the QoL during and after lung cancer treatment.

View this table:
  • View inline
  • View popup
Table 1.

Patients and classified by treatment

Conclusion

Design and validation of the effect of multidisciplinary interventions based on clinical and real-world data from the patients will ensure a personalised follow-up with a better assessment of their needs and eventually improve their quality of life, wellbeing and outcome.

Funding statement

This work was supported by the European Union Horizon 2020 Research and Innovation Program, under grant agreement number 875160 (Project CLARIFY).

  • © Royal College of Physicians 2022. All rights reserved.

References

  1. ↵
    1. Provencio M
    , Romero N, Tabernero J, et al. Future care for long-term cancer survivors: towards a new model. Clin Transl Oncol 2022;24:350–62.
    OpenUrl
  2. ↵
    1. Yang P
    . Epidemiology of lung cancer prognosis: quantity and quality of life. Methods Mol Biol 2009;471:469–86.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Heuvers ME
    , Hegmans JP, Stricker BH, et al. Improving lung cancer survival; time to move on. BMC Pulm Med 2012;12:77.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Chang WP
    , Lin CC. Changes in the sleep–wake rhythm, sleep quality, mood, and quality of life of patients receiving treatment for lung cancer: A longitudinal study. Chronobiol Int 2017;34:451–61.
    OpenUrl
  5. ↵
    1. Almaida-Pagan PF
    , Torrente M, Campos M, et al. Chronodisruption and ambulatory circadian monitoring in cancer patients: beyond the body clock. Curr Oncol Rep 2022;24:135–49.
    OpenUrl
Back to top
Previous articleNext article

Article Tools

Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Association of quality of life with performance status, circadian rhythm, and activity level of lung cancer patients using wearable devices as ambulatory monitoring
Maria Torrente, Pedro A Sousa, Fabio Franco, Ernestina Mensalvas, Virginia Calvo, Ana Collazo, Consuelo Parejo, Manuel Campos, Joao Pimentao, Mariano Provencio
Clinical Medicine Jul 2022, 22 (Suppl 4) 36-37; DOI: 10.7861/clinmed.22-4-s36

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Association of quality of life with performance status, circadian rhythm, and activity level of lung cancer patients using wearable devices as ambulatory monitoring
Maria Torrente, Pedro A Sousa, Fabio Franco, Ernestina Mensalvas, Virginia Calvo, Ana Collazo, Consuelo Parejo, Manuel Campos, Joao Pimentao, Mariano Provencio
Clinical Medicine Jul 2022, 22 (Suppl 4) 36-37; DOI: 10.7861/clinmed.22-4-s36
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Introduction
    • Methods
    • Results and discussion
    • Conclusion
    • Funding statement
    • References
  • Figures & Data
  • Info & Metrics

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • A rare case report of granulomatosis with polyangiitis presenting with thrombus of the ascending aorta
  • Pancreatic cancer with multiple liver metastasis complicating multi-organ infarcts from marantic endocarditis and Trousseau's syndrome
  • Age-adjusted versus cut-off for D-dimer to exclude pulmonary embolism audit
Show more Clinical

Similar Articles

FAQs

  • Difficulty logging in.

There is currently no login required to access the journals. Please go to the home page and simply click on the edition that you wish to read. If you are still unable to access the content you require, please let us know through the 'Contact us' page.

  • Can't find the CME questionnaire.

The read-only self-assessment questionnaire (SAQ) can be found after the CME section in each edition of Clinical Medicine. RCP members and fellows (using their login details for the main RCP website) are able to access the full SAQ with answers and are awarded 2 CPD points upon successful (8/10) completion from:  https://cme.rcplondon.ac.uk

Navigate this Journal

  • Journal Home
  • Current Issue
  • Ahead of Print
  • Archive

Related Links

  • ClinMed - Home
  • FHJ - Home
clinmedicine Footer Logo
  • Home
  • Journals
  • Contact us
  • Advertise
HighWire Press, Inc.

Follow Us:

  • Follow HighWire Origins on Twitter
  • Visit HighWire Origins on Facebook

Copyright © 2021 by the Royal College of Physicians