Validation of the Russian version of the Fatigue Impact Scale and Fatigue Severity Scale in multiple sclerosis patients

2018 ◽  
Vol 138 (5) ◽  
pp. 408-416 ◽  
Author(s):  
Yury V. Gavrilov ◽  
Galina G. Shkilnyuk ◽  
Philipp O. Valko ◽  
Igor D. Stolyarov ◽  
Elena V. Ivashkova ◽  
...  
2008 ◽  
Vol 14 (4) ◽  
pp. 500-505 ◽  
Author(s):  
C. Sauter ◽  
K. Zebenholzer ◽  
J. Hisakawa ◽  
J. Zeitlhofer ◽  
K. Vass

Objective Fatigue management and energy conservation are effective strategies to minimize fatigue in multiple sclerosis (MS). Sustained results have not yet been reported. Methods A fatigue management course was provided for 32 MS patients. They were tested prior to, directly after participation in the course and in a 7—9 month follow-up with the Fatigue Severity Scale, the MS-specific Fatigue Scale, the Modified Fatigue Impact Scale (MFIS), the Pittsburgh Sleep Quality Index and a self-rating scale for depression. The Expanded Disability Status Score (EDSS) and the MS functional composite (MSFC) were evaluated before and after participation in the course. Results The total score and the Cognitive and Physical subscores of the MFIS showed significant improvements on both points of time. Scores in the Fatigue Severity Scale, MS-specific Fatigue Scale and Psychosocial Fatigue Impact Scale did not improve significantly. MS functional composite and EDSS remained unchanged after six weeks of course participation. Subjective sleep quality improved directly after participation in the course and after 7—9 months. The depression score decreased significantly to a normal level at the end of training and in the 7—9 month follow-up. Conclusion Fatigue management enables MS patients to cope with their fatigue and energy more effectively. Follow-up evaluations showed stable results after 7—9 months. Multiple Sclerosis 2008; 14: 500—505. http://msj.sagepub.com


2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Mauro Catalan ◽  
Alessandra De Michiel ◽  
Alessio Bratina ◽  
Susanna Mezzarobba ◽  
Lorella Pellegrini ◽  
...  

The objective of the study was to treat fatigue in patients with multiple sclerosis (MS) by a neurocognitive rehabilitation program aimed at improving motor planning by using motor imagery (MI). Twenty patients with clinically definite MS complaining of fatigue were treated for five weeks with exercises of neurocognitive rehabilitation twice a week. Patients were evaluated by Fatigue Severity Scale (FSS), Modified Fatigue Impact Scale (MFIS), MSQoL54, Expanded Disability Status Scale (EDSS), and MS Functional Composite (MSFC). After treatment, a decrease in fatigue was detected with both FSS () and MFIS (). MSFC () and MSQoL54 () scores improved compared to baseline. At six-month followup, the improvement was confirmed for fatigue (FSS, ; MFIS ) and for the physical subscale of MSQoL54 (). No differences in disability scales were found. These results show that neurocognitive rehabilitation, based on MI, could be a strategy to treat fatigue in MS patients.


2013 ◽  
Vol 331 (1-2) ◽  
pp. 102-107 ◽  
Author(s):  
Y.C. Learmonth ◽  
D. Dlugonski ◽  
L.A. Pilutti ◽  
B.M. Sandroff ◽  
R. Klaren ◽  
...  

2017 ◽  
Vol 7 (7) ◽  
pp. e00743 ◽  
Author(s):  
Eija Rosti-Otajärvi ◽  
Päivi Hämäläinen ◽  
Anna Wiksten ◽  
Tanja Hakkarainen ◽  
Juhani Ruutiainen

2020 ◽  
Vol 10 (4) ◽  
pp. 27-37
Author(s):  
O. A. Kreis ◽  
T. M. Alekseeva ◽  
Yu. V. Gavrilov ◽  
P. O. Valko ◽  
Yu. Valko

Introduction. Examination of excessive daytime sleepiness, fatigue and depression in patients with myasthenia gravis is important for differential diagnosis of other disorders, and adds to a comprehensive clinical assessment.Objective. The aim is a comprehensive assessment of sleepiness, fatigue and depression and evaluation of the impact of autoimmune comorbidity on these symptoms in myasthenia gravis patients, using newly validated Russian versions of international questionnaires. The present article aims at familiarizing a wider Russian-speaking audience of specialists in the field of neuromuscular disease and sleep medicine with the main findings of our previously published work.Materials and methods. The study included 73 patients with MG and 230 control subjects. For sleepiness, fatigue and depression evaluation were used: Fatigue Severity Scale (FSS), Fatigue Impact Scale (FIS) (cognitive / physical / psychosocial subscales), Epworth Sleepiness Scale (ESS), Beck Depression Inventory (BDI) (cognitive-affective and somatic domains), Spielberger–Khanin State Trait Anxiety Inventory (STAI).Results. The Fatigue Severity Scale and Fatigue Impact Scale showed good psychometric properties and can be used to identify distinct aspects of fatigue in patients with myasthenia gravis. The studied patient cohort revealed clinically significant fatigue (69.9 %), excessive daytime sleepiness (15.1 %), moderate to severe depression (20.5 %), a high level of personal (64.4 %) and situational anxiety (27.4 %). Among 13 patients with myasthenia gravis and additional autoimmune comorbidity, there were no significant differences in the severity of sleepiness, fatigue and depression compared with the main group.Conclusion. The use of self-reported scale of sleepiness, fatigue and depression combined with careful clinical-neurological characterization adds to a more comprehensive view of the patient. The identification of sleepiness, fatigue and depression can guide therapeutic decisions and contributes to a better patient care. The presence of concomitant autoimmune pathology in patients with myasthenia gravis does not seem to increase the severity of sleepiness, fatigue and depression.


2010 ◽  
Vol 16 (9) ◽  
pp. 1134-1140 ◽  
Author(s):  
Nicholetta Weinges-Evers ◽  
Alexander U Brandt ◽  
Markus Bock ◽  
Caspar F Pfueller ◽  
Jan Dörr ◽  
...  

Background: Fatigue is the most common symptom in multiple sclerosis patients, but is difficult to measure; quantification thus relies on self-assessed questionnaires. Objective: To evaluate a battery of neuropsychological tests regarding their capacity to objectify self-reported fatigue. Methods: We assessed the correlation between age, gender, education, Kurtzke’s Expanded Disability Status Scale, depression, fatigue and neuropsychological testing using a cross-sectional approach in 110 multiple sclerosis patients. Fatigue was measured with the Fatigue Severity Scale. Cognition was measured using a series of neuropsychological tests including three subtests of the Test of Attentional Performance, the Brief Repeatable Battery of Neuropsychological Tests and the Faces Symbol Test. Results: According to the Fatigue Severity Scale 51.4% of the cohort were fatigued (scores ≥4). Age, education and depression showed a significant correlation with the Fatigue Severity Scale. Only 5.5% of the cohort exhibited cognitive impairment in the Brief Repeatable Battery of Neuropsychological Tests scores. After correction for age, education, Expanded Disability Status Scale and depression, Fatigue Severity Scale scores were an independent predictor of performance in the alertness subtest of the Test of Attentional Performance (standardized coefficient beta = 0.298, p = 0.014). Conclusion: The alertness subtest of the Test of Attentional Performance may offer an objective method of evaluating self-reported fatigue, and may therefore — in addition to the Fatigue Severity Scale — be a suitable tool for the assessment of multiple sclerosis patients complaining of fatigue.


2007 ◽  
Vol 30 (1) ◽  
pp. 81-85 ◽  
Author(s):  
Kadriye Armutlu ◽  
Nilufer Cetisli Korkmaz ◽  
Ilke Keser ◽  
Vildan Sumbuloglu ◽  
Derya Irem Akbiyik ◽  
...  

Physiotherapy ◽  
2015 ◽  
Vol 23 (3) ◽  
Author(s):  
Szymon Pasiut ◽  
Katarzyna Juda ◽  
Elżbieta Mirek ◽  
Jadwiga Szymura

AbstractFatigue is one of the three major symptoms affecting about 70-90% of multiple sclerosis patients (MS, ICD-10 G35), and a predominant symptom in nearly 50% of the patients. Fatigue is defined as a subjective feeling of lack of energy to start and continue an activity, which is not related to depression, or muscle weakening. There are similarities and differences between the fatigue experienced by healthy individuals, and the fatigue in multiple sclerosis patients. In both instances, fatigue becomes more intense as a result of stress, or physical and mental effort. Fatigue usually subsides after a rest, or a good night’s sleep. In MS patients, fatigue can be caused by even light physical, or mental exertion, and it takes longer than normal to go away. Rest, or sleep do not reduce its intensity.The main objective of the study was to assess the effect of a two-week rehabilitation programme on the perceived level of fatigue in multiple sclerosis patients.The study included 32 patients with clinically confirmed MS who underwent a comprehensive 2-week rehabilitation programme. The study was conducted at the “Ostoja” Centre for Multiple Sclerosis Patients in Wola Batorska from 15 July to 13 October 2013. It was based on a self-designed questionnaire which contained the basic patient data (age, sex), information on duration of the disease, type of MS the patient had been diagnosed with, as well as the Kurtzke Expanded Disability Status Scale, and the Fatigue Severity Scale. The respondents were assessed twice: on the first and last day of their stay in the Centre. The statistical analysis was carried out using the STATISTICA 10.0 software.The analysis revealed a statistically highly significant dependence between the two-week rehabilitation programme and the perceived level of fatigue. This means that the perceived level of fatigue in MS patients was significantly reduced as a result of the rehabilitation programme used.After the two-week rehabilitation programme, the perceived level of fatigue in MS patients significantly decreased. The two-week rehabilitation programme significantly reduced the number of patients suffering from chronic fatigue symptoms as assessed on the Fatigue Severity Scale.


2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Christian Veauthier ◽  
Gunnar Gaede ◽  
Helena Radbruch ◽  
Klaus-Dieter Wernecke ◽  
Friedemann Paul

Objectives. Pittsburgh Sleep Quality Index (PSQI) values correlate with depression, but studies investigating the relationship between PSQI values and polysomnographic (PSG) data showed inconsistent findings.Methods. Sixty-five consecutive patients with multiple sclerosis (MS) were retrospectively classified as “good sleepers” (GS) (PSQI ≤ 5) and “poor sleepers” (PS) (PSQI > 5). The PSG data and the values of the Visual Analog Scale (VAS) of fatigue, Modified Fatigue Impact Scale (MFIS), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and the Beck Depression Inventory (BDI) were compared.Results. No significant differences were found either for PSG data or for ESS, MFIS, and FSS values; but PS showed significantly increased BDI and VAS values.Conclusions. Poor sleep is associated with increased depression and fatigue scale values.


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