Observational studyJournal of medical Internet research2021
Measurement of Cancer-Related Fatigue Based on Heart Rate Variability: Observational Study.
Observational study in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Heart rate variability suppression in cancer patients versus non-cancer controls: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Pooled it
- The Use of Wearable Devices in Oncology Patients: A Systematic Review.The oncologist · 2024Pooled it
- Longitudinal identification of sentinel symptoms across frailty dimensions in lung cancer patients undergoing radiotherapy.Discover oncology · 2026Article
- Symptom Burden and Treatment Satisfaction Among Patients with Cancer in a Day Care Unit.Medicina (Kaunas, Lithuania) · 2026Article
- Pulse wave analysis for quality-of-life associated early physiological changes during breast cancer chemotherapy: a proof-of-concept pilot study.The oncologist · 2026Observational
- Application of Patient-Generated Health Data Among Older Adults With Cancer: Scoping Review.Journal of medical Internet research · 2025Article
- Association of Sympathovagal Imbalance with Increased Inflammation and Impaired Adaptive Immunity in Bladder Cancer Patients.International journal of molecular sciences · 2024Article
- Effect of Online Clinic on Follow-Up Compliance and Survival Outcomes in Nasopharyngeal Carcinoma: Real-World Cohort Study from Endemic Area.Healthcare (Basel, Switzerland) · 2024Article
- How to properly evaluate cardiac vagal tone in oncology studies: a state-of-the-art review.Journal of the National Cancer Center · 2024Review
- A proposed multi-domain, digital model for capturing functional status and health-related quality of life in oncology.Clinical and translational science · 2024Review
- Autonomic function measurements for evaluating fatigue and quality of life in patients with breast cancer undergoing radiation therapy: a prospective longitudinal study.Radiation oncology (London, England) · 2023Article
- An online home-based exercise program improves autonomic dysfunction in breast cancer survivors.Frontiers in physiology · 2023Article
- A Scoping Review to Assess Adherence to and Clinical Outcomes of Wearable Devices in the Cancer Population.Cancers · 2022Article
- Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life.Frontiers in digital health · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer-related fatigue is a serious side effect of cancer, and its treatment can disrupt the quality of life of patients. Clinically, the standard method for assessing cancer-related fatigue relies on subjective experience retrieved from patient self-reports, such as the Brief Fatigue Inventory (BFI). However, most patients do not self-report their fatigue levels.
objectiveIn this study, we aim to develop an objective cancer-related fatigue assessment method to track and monitor fatigue in patients with cancer.
methodsIn total, 12 patients with lung cancer who were undergoing chemotherapy or targeted therapy were enrolled. We developed frequency-domain parameters of heart rate variability (HRV) and BFI based on a wearable-based HRV measurement system. All patients completed the BFI-Taiwan version questionnaire and wore the device for 7 consecutive days to record HRV parameters such as low frequency (LF), high frequency (HF), and LF-HF ratio (LF-HF). Statistical analysis was used to map the correlation between subjective fatigue and objective data.
resultsA moderate positive correlation was observed between the average LF-HF ratio and BFI in the sleep phase (ρ=0.86). The mapped BFI score derived by the BFI mapping method could approximate the BFI from the patient self-report. The mean absolute error rate between the subjective and objective BFI scores was 3%.
conclusionsLF-HF is highly correlated with the cancer-related fatigue experienced by patients with lung cancer undergoing chemotherapy or targeted therapy. Beyond revealing fatigue levels objectively, continuous HRV recordings through the photoplethysmography watch device and the defined parameters (LF-HF) can define the active phase and sleep phase in patients with lung cancer who undergo chemotherapy or targeted chemotherapy, allowing a deduction of their sleep patterns.
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