Siciliano, M;
Kluger, B;
De Micco, R;
Chiorri, C;
Sant'Elia, V;
Silvestro, M;
Giordano, A;
Tedeschi, G;
Passamonti, L;
Trojano, L;
et al.
Siciliano, M; Kluger, B; De Micco, R; Chiorri, C; Sant'Elia, V; Silvestro, M; Giordano, A; Tedeschi, G; Passamonti, L; Trojano, L; Tessitore, A
(2022)
Validation of new diagnostic criteria for fatigue in patients with Parkinson disease.
Eur J Neurol, 29 (9).
pp. 2631-2638.
ISSN 1468-1331
https://doi.org/10.1111/ene.15411
SGUL Authors: Siciliano, Mattia
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Abstract
BACKGROUND AND PURPOSE: Although disabling fatigue is common in Parkinson disease (PD), available consensus-based diagnostic criteria have not yet been empirically validated. The aim of this study was to evaluate the clinimetric properties of the criteria. METHODS: A sample of outpatients with PD was evaluated for demographic, clinical, behavioral, and cognitive features. Fatigue was diagnosed according to the new diagnostic criteria and was rated by means of the Parkinson Fatigue Scale (PFS) and Fatigue Severity Scale (FSS). Acceptability, concurrent and discriminant validity, and interrater reliability were evaluated with binary logistic regression analyses and Cohen kappa (κ). RESULTS: Of 241 included patients, 17 (7.1%) met the diagnostic criteria for PD-related fatigue. Eight of nine symptoms described in Section A of the diagnostic criteria occurred in >50% of patients with fatigue. Acceptability (missing data = 0.8%) of the criteria was good, as was their concurrent validity with the PFS (odds ratio = 3.65) and FSS (odds ratio = 3.63). The discriminant validity of fatigue criteria with other PD-related behavioral and cognitive features was good (odds ratio < 1.68). The interrater reliability was excellent (κ = 0.92). CONCLUSIONS: This is the first study to test the clinimetric properties of case definition diagnostic criteria for PD-related fatigue. Our results suggest that current diagnostic criteria may be useful in both clinical practice and research. Future longitudinal studies should examine their long-term stability.
Item Type: | Article | ||||||||
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Additional Information: | © 2022 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. | ||||||||
Keywords: | Parkinson disease, fatigability, fatigue, nonmotor symptoms, validation, Fatigue, Humans, Parkinson Disease, Reproducibility of Results, Severity of Illness Index, Humans, Parkinson Disease, Fatigue, Severity of Illness Index, Reproducibility of Results, fatigability, fatigue, nonmotor symptoms, Parkinson disease, validation, 1103 Clinical Sciences, 1109 Neurosciences, Neurology & Neurosurgery | ||||||||
SGUL Research Institute / Research Centre: | Academic Structure > Molecular and Clinical Sciences Research Institute (MCS) | ||||||||
Journal or Publication Title: | Eur J Neurol | ||||||||
ISSN: | 1468-1331 | ||||||||
Language: | eng | ||||||||
Dates: |
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Publisher License: | Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0 | ||||||||
PubMed ID: | 35587108 | ||||||||
Web of Science ID: | WOS:000806144000001 | ||||||||
Go to PubMed abstract | |||||||||
URI: | https://openaccess.sgul.ac.uk/id/eprint/114898 | ||||||||
Publisher's version: | https://doi.org/10.1111/ene.15411 |
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