Clinical evaluation of fatigue in Japanese patients with Parkinson's disease

Tanaka, Kenichiro; Wada‐Isoe, Kenji; Yamamoto, Masaichi; Tagashira, Shugo; Tajiri, Yuki; Nakashita, Satoko; Nakashima, Kenichiro

doi:10.1002/brb3.247

Cited by 11 publications

(23 citation statements)

References 37 publications

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“…The relation between fatigue and age was reported in 24 studies, two of which found an association between fatigue and higher age. The meta‐analysis for age showed that patients with fatigue were, on average, 1.4 years older than those without fatigue (for the forest plot, see Supplementary Material 5).…”

Section: Resultsmentioning

confidence: 92%

“…Demographic features, disease severity, cognitive impairment, and depression did not exert significant effects on prevalence estimates. Following Barone and colleagues, we contrasted studies on de novo (five of 44 studies) versus studies on treated PD patients in which the same scale was used (28 studies). This contrast did not show differences in fatigue prevalence between treated and de novo PD patients (Table ).…”

Section: Resultsmentioning

confidence: 99%

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Fatigue in Parkinson's disease: A systematic review and meta‐analysis

et al. 2018

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We conducted a systematic review and meta‐analysis aimed at establishing robust prevalence estimates and identifying clinical correlates of fatigue in PD. From 2,459 titles and abstracts, we selected 44 relevant studies (n = 7427 patients). Overall, the meta‐analysis showed a prevalence of fatigue of 50% in PD. This prevalence estimate, however, was significantly moderated by study heterogeneity in measurement scales and cut‐off thresholds. In contrast, demographic features, disease severity, cognitive impairment, and depression did not moderate prevalence estimates. Moreover, fatigue prevalence did not differ between de novo and treated PD patients. Compared to nonfatigued patients, fatigued patients had sligthly higher age (1.44 years), disease duration (0.93 years), l‐dopa equivalent daily dose (50.89 units), UPDRS‐III (4.99 points), and H & Y (0.33 points), as well as risk of comorbid depression (risk ratio = 1.89) and had a little lower MMSE score (–0.66 points). Fatigue was moderately associated with apathy (Hedges' g = 0.55), anxiety (Hedges' g = 0.67), daytime somnolence (Hedges' g = 0.43), sleep disturbances (Hedges' g = 0.66), and poorer quality of life (Hedges' g = 1.23). Our analyses suggest that fatigue is a frequent, independent nonmotor symptom in PD appearing early and persisting throughout the disease course, and that establishing uniform diagnostic criteria for PD‐related fatigue is critical. In addition, several nonmotor symptoms appear to be associated with fatigue and negatively impact quality of life. Pharmacological and nonpharmacological interventions targeting fatigue and associated symptoms may improve quality of life in patients with PD. © 2018 International Parkinson and Movement Disorder Society

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Section: Resultsmentioning

confidence: 92%

Section: Resultsmentioning

confidence: 99%

Fatigue in Parkinson's disease: A systematic review and meta‐analysis

et al. 2018

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“…Other studies in literature have suggested a prevalence rate from 33% to 58%. This variation can be contributed to heterogeneity in the methods of diagnosis, scales used and definition of “fatigue.”[131415]…”

Section: Discussionmentioning

confidence: 99%

“…This observation is in line with Japanese and Brazilian studies which also showed a positive correlation between the duration of disease and fatigue, suggesting fatigue to be intrinsic to the PD itself. [141617] Thus, as the duration of disease increases, the nonmotor complications such as fatigue, a key NMS in PD patients also increases proportionately.…”

Section: Discussionmentioning

confidence: 99%

Assessment of fatigue in Parkinson′s disease: Indian perspective

Paul¹,

Singh²,

Jain³

et al. 2016

Ann Indian Acad Neurol

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Context:Fatigue is one of the most frequent nonmotor manifestations in Parkinson's disease (PD), having a major effect on quality of life but is not reported in Indian patients.Aims:To evaluate the frequency of fatigue in a cohort of PD population and its correlation with disease.Settings and Design:Fatigue Severity Scale (FSS) was translated and validated in local vernacular language. All patients of PD visiting neurology outpatient department of a tertiary care hospital.Subjects and Methods:A total of 150 patients were screened, and 104 were included in this study. They were divided into – Group I with fatigue (score of >4 in each item) and Group II without fatigue.Statistical Analysis:Data were analyzed by SPSS software version 20.0. Spearman correlation was used to evaluate the convergent validity of the FSS-Ind score with PD-related variables. The principal components analysis was applied to detect the domain structure of the FSS.Results:Of the total 104 patients, 68 (65.3%) patients experienced fatigue. The duration of disease was significantly more (P = 0.021) in Group I (4.39 ± 3.8 years) than in the Group II (3.13 ± 1.6 years). The severity of disease also showed a positive correlation with fatigue with 50.9% patients in H and Y stage >3 experiencing fatigue. 69.1% patients of tremor phenotype experienced fatigue as compared to 32.3% of rigid phenotype. There was no relation of fatigue with age, gender, H and Y stage, levodopa equivalent dose and mean Unified PD Rating Scale motor III score.Conclusions:Translated version of the FSS, FSS-Ind has high internal consistency and validity which supports its application as an effective tool in detecting fatigue in patients with PD. Fatigue in PD was related to duration and phenotype of the disease.

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“…Fatigue is a prevalent disabling non-motor symptom in PD (11). The mechanisms of fatigue are ill understood, but it has been associated with gait problems (12) and may have an impact on rehabilitation (13). Attentional strategies by means of verbal instructions were proposed as an alternative method for cues and were shown to have similar short-term effects (14–16).…”

Section: Introductionmentioning

confidence: 99%

Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease

et al. 2017

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Rhythmic auditory cueing is a well-accepted tool for gait rehabilitation in Parkinson’s disease (PD), which can now be applied in a performance-adapted fashion due to technological advance. This study investigated the immediate differences on gait during a prolonged, 30 min, walk with performance-adapted (intelligent) auditory cueing and verbal feedback provided by a wearable sensor-based system as alternatives for traditional cueing. Additionally, potential effects on self-perceived fatigue were assessed. Twenty-eight people with PD and 13 age-matched healthy elderly (HE) performed four 30 min walks with a wearable cue and feedback system. In randomized order, participants received: (1) continuous auditory cueing; (2) intelligent cueing (10 metronome beats triggered by a deviating walking rhythm); (3) intelligent feedback (verbal instructions triggered by a deviating walking rhythm); and (4) no external input. Fatigue was self-scored at rest and after walking during each session. The results showed that while HE were able to maintain cadence for 30 min during all conditions, cadence in PD significantly declined without input. With continuous cueing and intelligent feedback people with PD were able to maintain cadence (p = 0.04), although they were more physically fatigued than HE. Furthermore, cadence deviated significantly more in people with PD than in HE without input and particularly with intelligent feedback (both: p = 0.04). In PD, continuous and intelligent cueing induced significantly less deviations of cadence (p = 0.006). Altogether, this suggests that intelligent cueing is a suitable alternative for the continuous mode during prolonged walking in PD, as it induced similar effects on gait without generating levels of fatigue beyond that of HE.

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Clinical evaluation of fatigue in Japanese patients with Parkinson's disease

Cited by 11 publications

References 37 publications

Fatigue in Parkinson's disease: A systematic review and meta‐analysis

Fatigue in Parkinson's disease: A systematic review and meta‐analysis

Assessment of fatigue in Parkinson′s disease: Indian perspective

Prolonged Walking with a Wearable System Providing Intelligent Auditory Input in People with Parkinson’s Disease

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