Literature DB >> 30467793

Clinical utility of portable electrophysiology to measure fatigue in treatment-naïve non-small cell lung cancer.

B O'Connor1,2, M Markicevic3,4, L Newman3,4, R K Poduval3,4, E Tiernan5, E Hanrahan6, S Cuffe7, R B Reilly3,4,8, D Walsh9,8,10.   

Abstract

PURPOSE: Cancer-related fatigue (CRF) biology remains poorly understood. Responsible mechanisms may be central or peripheral and originate anywhere from the brain to muscle fiber. Objective measurement is complex and previously limited to specialized laboratories. Portable electroencephalography (EEG) and electromyography (EMG) may enhance objective measurement. This study evaluated the feasibility and acceptability of portable EMG-EEG in CRF assessment.
METHODS: A prospective observational feasibility study compared ten outpatients with inoperable, treatment-naïve non-small cell lung cancer and CRF to ten healthy volunteers. All completed a sustained isometric hand-grip contraction at 30% maximal level until self-perceived exhaustion. 128-channel EEG and 2-channel EMG signals of forearm muscles were recorded. Device acceptability was evaluated by questionnaire.
RESULTS: The task was evaluated in two stages; first and last 20 s. CRF cohort perceived exhaustion earlier than volunteers (mean 137 ± 76 s vs 208 ± 51 s). As fatigue progressed, EMG amplitude increased significantly (CRF p = 0.02; volunteers: p = 0.04) in both groups as did EMG beta band power (CRF p = 0.008; volunteers: p = 0.006). The increase was significantly less in CRF (amplitude p = 0.032; beta power: p = 0.014). EEG beta band power in the contralateral motor cortex increased significantly (CRF p = 0.03; volunteers: p = 0.019) in both cohorts but to greater extent (p = 0.024) in CRF. One hundred percent device acceptability was reported.
CONCLUSIONS: A laboratory-based evaluation was successfully adapted to the outpatient setting during routine visits. High acceptability supports clinical utility. In CRF, a higher degree of cortical activation was required to drive a much lower level of muscle performance. This suggests impairment of both central and peripheral mechanisms in CRF.

Entities:  

Keywords:  Cancer-related fatigue; Electroencephalography; Electromyography; Feasibility; Lung cancer; Objective measurement

Mesh:

Year:  2018        PMID: 30467793     DOI: 10.1007/s00520-018-4542-1

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  25 in total

Review 1.  Fatigue in patients with advanced cancer: a review.

Authors:  E A Barnes; E Bruera
Journal:  Int J Gynecol Cancer       Date:  2002 Sep-Oct       Impact factor: 3.437

2.  Combining objective and subjective outcomes in cancer-related fatigue: illustrations from a single case report.

Authors:  Dilara Seyidova Khoshknabi; Mellar P Davis; Vinoth K Ranganathan; Vlodek Siemionow; Declan Walsh; Jordanka Kirkova; Guang H Yue
Journal:  J Palliat Med       Date:  2008-07       Impact factor: 2.947

3.  The rapid assessment of fatigue severity in cancer patients: use of the Brief Fatigue Inventory.

Authors:  T R Mendoza; X S Wang; C S Cleeland; M Morrissey; B A Johnson; J K Wendt; S L Huber
Journal:  Cancer       Date:  1999-03-01       Impact factor: 6.860

4.  Impact of cancer-related fatigue on the lives of patients: new findings from the Fatigue Coalition.

Authors:  G A Curt; W Breitbart; D Cella; J E Groopman; S J Horning; L M Itri; D H Johnson; C Miaskowski; S L Scherr; R K Portenoy; N J Vogelzang
Journal:  Oncologist       Date:  2000

5.  The bedside confusion scale: development of a portable bedside test for confusion and its application to the palliative medicine population.

Authors:  M J Stillman; L A Rybicki
Journal:  J Palliat Med       Date:  2000       Impact factor: 2.947

6.  Reductions in anaemia and fatigue are associated with improvements in productivity in cancer patients receiving chemotherapy.

Authors:  Ernst Berndt; Joel Kallich; Anne McDermott; Xiao Xu; Howard Lee; John Glaspy
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

7.  Cancer-related fatigue: central or peripheral?

Authors:  Tugba Yavuzsen; Mellar P Davis; Vinoth K Ranganathan; Declan Walsh; Vlodek Siemionow; Jordanka Kirkova; Dilara Khoshknabi; Ruth Lagman; Susan LeGrand; Guang H Yue
Journal:  J Pain Symptom Manage       Date:  2009-06-09       Impact factor: 3.612

8.  Developing medical device technologies from users' perspectives: a theoretical framework for involving users in the development process.

Authors:  Syed Ghulam Sarwar Shah; Ian Robinson; Sarmad AlShawi
Journal:  Int J Technol Assess Health Care       Date:  2009-10       Impact factor: 2.188

9.  Weakening of functional corticomuscular coupling during muscle fatigue.

Authors:  Qi Yang; Yin Fang; Chang-Kai Sun; Vlodek Siemionow; Vinoth K Ranganathan; Dilara Khoshknabi; Mellar P Davis; Declan Walsh; Vinod Sahgal; Guang H Yue
Journal:  Brain Res       Date:  2008-11-11       Impact factor: 3.252

10.  Phasic increases in cortical beta activity are associated with alterations in sensory processing in the human.

Authors:  Elodie Lalo; Thomas Gilbertson; Louise Doyle; Vincenzo Di Lazzaro; Beatrice Cioni; Peter Brown
Journal:  Exp Brain Res       Date:  2006-09-14       Impact factor: 1.972

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