Fatigue assessment of Parkinson’s disease patient in clinic: specific versus holistic

Falup‐Pecurariu, Cristian

doi:10.1007/s00702-013-0969-1

Cited by 19 publications

(15 citation statements)

References 44 publications

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“…Our results echo with the PRIMO study where fatigue levels were reported to rise incrementally as H and Y stages increased, with 37.7% patients experiencing fatigue in their early stage and 81.6% having fatigue in moderate to severe stage of the disease. [1218] Although it is difficult to establish which variable independently contributes to fatigue whether disease duration or severity, our results show that Indian population had more fatigue even in the early stage of disease.…”

Section: Discussionmentioning

confidence: 62%

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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Section: Discussionmentioning

confidence: 62%

Assessment of fatigue in Parkinson′s disease: Indian perspective

Paul¹,

Singh²,

Jain³

et al. 2016

Ann Indian Acad Neurol

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“…The sEMG is a non-invasive technique where electrodes are placed over the skin. It is used in the area of myo-electric control, sports biomechanics and ergonomics [3][4][5]. Needle electromyography is an invasive technique, and it is widely used in clinical research and studies.…”

Section: Introductionmentioning

confidence: 99%

Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features

Karthick

Makaram

Swaminathan

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Muscle fatigue is a neuromuscular condition where muscle performance decreases due to sustained or intense contraction. It is experienced by both normal and abnormal subjects. In this work, an attempt has been made to analyze the progression of muscle fatigue in biceps brachii muscles using surface electromyography (sEMG) signals. The sEMG signals are recorded from fifty healthy volunteers during dynamic contractions under well defined protocol. The acquired signals are preprocessed and segmented in to six equal parts for further analysis. The features, such as activity, mobility, complexity, sample entropy and spectral entropy are extracted from all six zones. The results are found showing that the extracted features except complexity feature have significant variations in differentiating non-fatigue and fatigue zone respectively. Thus, it appears that, these features are useful in automated analysis of various neuromuscular activities in normal and pathological conditions.

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“…Although both physical and mental fatigue are involved in PD, the PFS takes mainly physical fatigue into account. It does not account for mental fatigue, so the fatigue of patients with PD in our study placed a disproportionate emphasis on physical fatigue (Falup‐Pecurariu ). Nevertheless, several nonmotor symptoms were related to fatigue and evaluated via the J‐PFS in this study.…”

Section: Discussionmentioning

confidence: 98%

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

et al. 2014

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BackgroundFatigue is a common nonmotor symptom of Parkinson's disease (PD). Although the causes of fatigue were estimated in the previous reports, fatigue is not fully understood. To determine the frequency of and factors related to fatigue in patients with PD, we carried out clinical assessments in our university hospital.MethodsWe used the Japanese version of the Parkinson Fatigue Scale (J-PFS). The J-PFS was administered to 110 patients with PD, and a cutoff point of 3.3 was used for the diagnosis of fatigue. Subsequently, demographic characteristics, clinical features, and medications utilized were evaluated to elucidate the factors related to fatigue. In particular, we focused on the relationship between fatigue and gait disorder assessed via the portable gait rhythmogram.ResultsThe frequency of fatigue in patients with PD was 52.7%. Univariate analysis revealed that factors significantly associated with fatigue were many motor symptoms and nonmotor symptoms. In addition, multivariate analysis revealed that gait disorder and constipation were independent factors related to fatigue. Furthermore, short-step walking and bradykinesia in gait disorder had especially a relationship with fatigue.ConclusionsMore than half of our patients were judged having fatigue. Several factors, including motor and nonmotor symptoms, might be related to fatigue in patients with PD.

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Fatigue assessment of Parkinson’s disease patient in clinic: specific versus holistic

Cited by 19 publications

References 44 publications

Assessment of fatigue in Parkinson′s disease: Indian perspective

Assessment of fatigue in Parkinson′s disease: Indian perspective

Analysis of progression of fatigue conditions in biceps brachii muscles using surface electromyography signals and complexity based features

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

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