Dataset related to: "Relationship between perceived and neuromuscular fatigue in COPD patients with chronic respiratory failure with long‑term oxygen therapy: a cross‑sectional study" Article Swipe
Mara Paneroni
,
Michele Vitacca
,
Laura Comini
,
Beatrice Salvi
,
Manuela Saleri
,
Federico Schena
,
Massimo Venturelli
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7441430
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.7441430
We provide the raw data used for the following article: Paneroni M, Vitacca M, Comini L, Salvi B, Saleri M, Schena F, Venturelli M. Relationship between perceived and neuromuscular fatigue in COPD patients with chronic respiratory failure with long-term oxygen therapy: a cross-sectional study. Eur J Appl Physiol. 2022 Nov;122(11):2403-2416. doi: 10.1007/s00421-022-05021-2. Abstract Purpose: To evaluate perceived fatigue (PF) and neuromuscular fatigue (NMF) in patients with COPD and chronic respiratory failure (CRF) on long-term oxygen therapy (CRF-COPD group), and the relationships between PF, NMF, patient's characteristics, comparing severe patients with COPD to patients without CRF (COPD group). Methods: This cross-sectional study compared 19 CRF-COPD patients with 10 COPD patients attending a rehabilitation program. PF was determined by Fatigue Severity Scale (FSS), while dyspnea by the Barthel Dyspnea Index (BDI). We assessed quadriceps NMF via electrical nerve stimulation during and following a Maximal Voluntary Contraction (MVC) detecting changes after a Constant Workload Cycling Test (CWCT) at 80% of the peak power output at exhaustion. Results: CRF-COPD patients showed higher PF (+ 1.79 of FSS score, p = 0.0052) and dyspnea (+ 21.03 of BDI score, p = 0.0023) than COPD patients. After the fatiguing task and normalization for the total work, there was a similar decrease in the MVC (CRF-COPD -1.5 ± 2.4 vs COPD -1.1 ± 1.2% baseline kJ-1, p = 0.5819), in the potentiated resting twitch force (CRF-COPD -2.8 ± 4.7 vs COPD -2.0 ± 3.3% baseline kJ-1, p = 0.7481) and in the maximal voluntary activation (CRF-COPD -0.1 ± 3.9 vs COPD -0.9 ± 1.2 -2.0 ± 3.3% baseline kJ-1, p = 0.4354). FSS and BDI were closely related (R = 0.5735, p = 0.0011), while no correlation between PF and NMF was found. Conclusion: Patients with CRF-COPD develop higher levels of perceived fatigue and dyspnea than patients with COPD; while neuromuscular fatigue is similar, suggesting a mismatch between symptoms and neuromuscular dysfunction.
Related Topics
Concepts
Metadata
- Type
- dataset
- Language
- en
- Landing Page
- https://zenodo.org/record/7441430
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394022030
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394022030Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.7441430Digital Object Identifier
- Title
-
Dataset related to: "Relationship between perceived and neuromuscular fatigue in COPD patients with chronic respiratory failure with long‑term oxygen therapy: a cross‑sectional study"Work title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-15Full publication date if available
- Authors
-
Mara Paneroni, Michele Vitacca, Laura Comini, Beatrice Salvi, Manuela Saleri, Federico Schena, Massimo VenturelliList of authors in order
- Landing page
-
https://zenodo.org/record/7441430Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://zenodo.org/record/7441430Direct OA link when available
- Concepts
-
Medicine, COPD, Respiratory failure, Cross-sectional study, Respiratory system, Physical therapy, Physical medicine and rehabilitation, Chronic respiratory failure, Oxygen therapy, Internal medicine, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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