1
|
Connolly L, Chatfield S, Freeman J, Salter A, Amato MP, Brichetto G, Chataway J, Chiaravalloti ND, Cutter G, DeLuca J, Dalgas U, Farrell R, Feys P, Filippi M, Inglese M, Meza C, Moore NB, Motl RW, Rocca MA, Sandroff BM, Feinstein A. Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis. Mult Scler Relat Disord 2024; 90:105798. [PMID: 39213864 DOI: 10.1016/j.msard.2024.105798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 08/02/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Fatigue is common in people with multiple sclerosis (MS). Understanding the relationship between fatigue, physical and neurobehavioural factors is important to inform future research and practice. Few studies explore this explicitly in people with progressive MS (pwPMS). OBJECTIVE To explore relationships between self-reported fatigue, physical and neurobehavioural measures in a large, international progressive MS sample of cognitively impaired people recruited to the CogEx trial. METHODS Baseline assessments of fatigue (Modified Fatigue Impact Scale; MFIS), aerobic capacity (VO2peak), time in moderate-vigorous physical activity (MVPA; accelerometery over seven-days), walking performance (6-minute walk test; 6MWT), self-reported walking difficulty (MS Walking Scale; MSWS-12), anxiety and depression (Hospital Anxiety and Depression Scale; HADS and Beck Depression Inventory-II; BDI-II), and disease impact (MS Impact Scale-29, MSIS-29) were assessed. Participants were categorised as fatigued (MFISTotal >=38) or non-fatigued (MFISTotal ≤38). STATISTICAL ANALYSIS Differences in individuals categorised as fatigued or non-fatigued were assessed (t-tests, chi square). Pearson's correlation and partial correlations (adjusted for EDSS score, country, sex, and depressive symptoms) determined associations with MFISTotal, MFISPhysical, MFISCognitive and MFISPsychosocial, and the other measures. Multivariable logistic regression evaluated the independent association of fatigue (categorised MFISTotal) with physical and neurobehavioural measures. RESULTS The sample comprised 308 pwPMS (62 % female, 27 % primary progressive, 73 % secondary progressive), mean age 52.5 ± 7.2 yrs, median EDSS score 6.0 (4.5-6.5), mean MFISTotal 44.1 ± 17.1, with 67.2 % categorised as fatigued. Fatigued participants walked shorter distances (6MWT, p = 0.043), had worse MSWS-12 scores (p < 0.001), and lower average % in MVPA (p = 0.026). The magnitude of associations was mostly weak between MFISTotal and physical measures (r = 0.13 to 0.18), apart from the MSWS-12 where it was strong (r = 0.51). The magnitude of correlations were strong between the MFISTotal and neurobehavioural measures of anxiety (r = 0.56), depression (r = 0.59), and measures of disease impact (MSIS-physical r = 0.67; MSIS-mental r = 0.71). This pattern was broadly similar for the MSIF subscales. The multivariable model indicated a five-point increase in MSWS-12 was associated with a 14 % increase in the odds of being fatigued (OR [95 %CI]: 1.14 [1.07-1.22], p < 0.0001) CONCLUSION: Management of fatigue should consider both physical and neurobehavioural factors, in cognitively impaired persons with progressive MS.
Collapse
Affiliation(s)
- L Connolly
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK.
| | - S Chatfield
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK
| | - J Freeman
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK
| | - A Salter
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - M P Amato
- Department NEUROFARBA, Section Neurosciences, University of Florence, Largo Brambilla 3, 50134 Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - G Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), via Operai 40, 16149 Genoa, Italy; AISM Rehabilitation Service, Italian Multiple Sclerosis Society, Genoa, Italy
| | - J Chataway
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London, London WC1B 5EH, UK; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - N D Chiaravalloti
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - G Cutter
- Department of Biostatistics, University of Alabama At Birmingham, Birmingham, USA
| | - J DeLuca
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - U Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Dalgas Avenue 4, 8000 Aarhus, Denmark
| | - R Farrell
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London, London WC1B 5EH, UK; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - P Feys
- REVAL, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium
| | - M Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - M Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino-IRCCS, Genoa, Italy
| | - C Meza
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON M5R 3B6, Canada
| | - N B Moore
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA
| | - R W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - M A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy
| | - B M Sandroff
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - A Feinstein
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON M5R 3B6, Canada
| |
Collapse
|
2
|
Jellinger KA. Behavioral disorders in multiple sclerosis: a comprehensive review. J Neural Transm (Vienna) 2024:10.1007/s00702-024-02816-9. [PMID: 39231817 DOI: 10.1007/s00702-024-02816-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 07/28/2024] [Indexed: 09/06/2024]
Abstract
Multiple sclerosis (MS) is a heterogenous autoimmune-mediated disease of the central nervous system (CNS) characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of neuropsychiatric symptoms, behavioral changes are common, even from the early stages of the disease, while they are associated with cognitive deficits in advanced MS. According to DSM-5, behavioral disorders include attention deficits, oppositional, defiant and conduct disorders, anxiety, panic, obsessive-compulsive disorders (OCD), disruptive and emotional disorders, while others include also irritability, agitation, aggression and executive dysfunctions. Approximately 30 to 80% of individuals with MS demonstrate behavioral changes associated with disease progression. They are often combined with depression and other neuropsychiatric disorders, but usually not correlated with motor deficits, suggesting different pathomechanisms. These and other alterations contribute to disability in MS. While no specific neuropathological data for behavioral changes in MS are available, those in demyelination animal models share similarities with white matter and neuroinflammatory abnormalities in humans. Neuroimaging revealed prefrontal cortical atrophy, interhemispheric inhibition and disruption of fronto-striato-thalamic and frontoparietal networks. This indicates multi-regional patterns of cerebral disturbances within the MS pathology although their pathogenic mechanisms await further elucidation. Benefits of social, psychological, behavioral interventions and exercise were reported. Based on systematical analysis of PubMed, Google Scholar and Cochrane library, current epidemiological, clinical, neuroimaging and pathogenetic evidence are reviewed that may aid early identification of behavioral symptoms in MS, and promote new therapeutic targets and strategies.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
| |
Collapse
|
3
|
Jellinger KA. Depression and anxiety in multiple sclerosis. Review of a fatal combination. J Neural Transm (Vienna) 2024; 131:847-869. [PMID: 38869643 DOI: 10.1007/s00702-024-02792-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 06/01/2024] [Indexed: 06/14/2024]
Abstract
Depression and anxiety are the most frequent neuropsychiatric symptoms of multiple sclerosis (MS), an autoimmune-mediated demyelinating neurodegenerative disease. Their prevalence is 25-65% and 20-54%, respectively, often associated with chronic fatigue and cognitive impairment, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. Both disorders often arise before MS diagnosis, lead to faster disability and impair the quality of life. Risk factors are (young) age, genetic and family history burden. While no specific neuropathological data for depression (and anxiety) in MS are available, modern neuroimaging studies showed bilateral fronto-temporal, subcortical and limbic atrophies, microstructural white matter lesions and disruption of frontoparietal, limbic and neuroendocrine networks. The pathogenesis of both depression and anxiety in MS is related to shared mechanisms including oxidative stress, mitochondrial dysfunction, neuroinflammation and neuroendocrine mechanisms inducing complex functional and structural brain lesions, but they are also influenced by social and other factors. Unfortunately, MS patients with anxiety, major depression or suicidal thoughts are often underassessed and undertreated. Current treatment, in addition to antidepressant therapy include transcranial magnetic stimulation, cognitive, relaxation, dietary and other healthcare measures that must be individualized. The present state-of- the-art review is based on systematic analysis of PubMed, Google Scholar and Cochrane Library until May 2024, with focus on the prevalence, clinical manifestation, neuroimaging data, immune mechanisms and treatment options. Depression and anxiety in MS, like in many other neuroimmune disorders, are related, among others, to multi-regional patterns of cerebral disturbances and complex pathogenic mechanisms that deserve further elucidation as a basis for early diagnosis and adequate management to improve the quality of life in this disabling disease.
Collapse
Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
| |
Collapse
|
4
|
Alharbi MD, Khan F. The measurement of fatigability severity in individuals with multiple sclerosis and healthy controls. Mult Scler Relat Disord 2024; 85:105568. [PMID: 38520949 DOI: 10.1016/j.msard.2024.105568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 03/13/2024] [Accepted: 03/19/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Multiple Sclerosis (MS) is a chronic disease that substantially diminishes one's ability to undertake daily living activities. Fatigue has been reported by at least 80 % of persons with MS (PwMS). Yet, little is known concerning the quantification of fatigability using prolonged walking tests. OBJECTIVES To compare fatigability severity measures using the 10-minute walk test for PwMS against age- and gender-matched healthy controls (HCs). METHODS Participants included 53 ambulatory PwMS and 49 HCs. Perceived fatigability was measured by dividing a participant's change in self-reported tiredness by the number of meters walked. Performance fatigability was calculated by dividing the change in walking speed (at 2.5 and 10 min) by the total distance walked in meters. RESULTS There was a significant difference in perceived fatigability between PwMS and HCs (mean difference: 2.73 ± 0.83; p = 0.001) and in performance fatigability (mean difference: 0.24 ± 0.11; p = 0.01). Moreover, there were significant differences in speed and distance at all time points (p ≤ 0.05) between PwMS and HCs. CONCLUSIONS PwMS have significant walking deficits as reflected by greater fatigability in both perceived and performance measures. These methods can enhance therapeutic strategies that improve the walking performances of PwMS.
Collapse
Affiliation(s)
- Mutasim D Alharbi
- Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia.
| | - Fayaz Khan
- Department of Physical Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, P.O. Box 80200, Jeddah 21589, Saudi Arabia
| |
Collapse
|
5
|
Weiß M, Gutzeit J, Appel KS, Bahmer T, Beutel M, Deckert J, Fricke J, Hanß S, Hettich-Damm N, Heuschmann PU, Horn A, Jauch-Chara K, Kohls M, Krist L, Lorenz-Depiereux B, Otte C, Pape D, Reese JP, Schreiber S, Störk S, Vehreschild JJ, Hein G. Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study. J Affect Disord 2024; 352:296-305. [PMID: 38360365 DOI: 10.1016/j.jad.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. METHODS To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data were collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. RESULTS Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. LIMITATIONS The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometric data. CONCLUSIONS In summary, our results suggest a strong link between post-COVID depression and fatigue, highlighting the need for integrative treatment approaches.
Collapse
Affiliation(s)
- Martin Weiß
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.
| | - Julian Gutzeit
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Katharina S Appel
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany
| | - Thomas Bahmer
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany; Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany
| | - Manfred Beutel
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Jürgen Deckert
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | - Sabine Hanß
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Nora Hettich-Damm
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Peter U Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; Clinical Trial Center Würzburg (CTC/ZKS), University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Anna Horn
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Kamila Jauch-Chara
- Department of Psychiatry and Psychotherapy, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | | | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
| | - Daniel Pape
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Stefan Schreiber
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Stefan Störk
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany
| | - Jörg Janne Vehreschild
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany; German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Grit Hein
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| |
Collapse
|
6
|
Rzepka M, Chmiela T, Kaczmarczyk A, Krzystanek E. Insomnia, Fatigue, Bladder Disorders and Mood Disorders among Polish Patients with Multiple Sclerosis: Cross-Sectional Study. J Clin Med 2024; 13:1043. [PMID: 38398356 PMCID: PMC10888699 DOI: 10.3390/jcm13041043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/05/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND To investigate the prevalence of sleep disorders in patients with multiple sclerosis (PwMS) in comparison to healthy controls (HCs), we aim to explore the correlation between sleep disorders and fatigue, bladder dysfunction, mood disorders in PwMS. METHODS This study involved 175 PwMS and 115 HCs. We conducted a self-administered survey using questionnaires (the authors' questionnaire, the Athens Insomnia Scale (AIS), the Epworth Sleepiness Scale (ESS), the Modified Fatigue Impact Scale (MFIS), the Fatigue Severity Scale (FSS), the Hospital Anxiety and Depression Scale (HADS), and the Numerical Rating Scale (NRS). The neurological disability was determined using Expanded Disability Status Scale. Logistic regression was used to estimate odds ratios (ORs) with 95% confidence intervals (CIs). RESULTS According to AIS, insomnia was found in 20.6% of PwMS compared to 9.6% of HCs (p < 0.001). Comparing female and male PwMS, we observed that insomnia was more prevalent among female PwMS (25.95% vs. 4.55%, respectively, p < 0.05). Excessive daytime sleepiness was more prevalent in female PwMS (p < 0.05). Female PwMS were more fatigue based on the FSS and the MFIS (p < 0.05). Bladder disorders were observed in 39.43% of PwMS and were significantly linked to MS (p < 0.001). Sleep disturbances were associated with anxiety disorders (OR = 0.22, 95% CI 0.12-0.32 p < 0.001), bladder dysfunction (OR = 0.52 95% CI 0.16-0.87 p < 0.05), and female gender (OR = 0.49, 95% CI 0.037-0.94 p < 0.05). CONCLUSIONS Insomnia is prevalent among PwMS. Our study revealed independent predictors of sleep disturbances among PwMS: female gender, bladder disorders, and anxiety.
Collapse
Affiliation(s)
- Michalina Rzepka
- Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (T.C.); (A.K.)
| | - Tomasz Chmiela
- Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (T.C.); (A.K.)
| | - Aleksandra Kaczmarczyk
- Department of Neurology, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752 Katowice, Poland; (T.C.); (A.K.)
| | - Ewa Krzystanek
- Department of Neurology, Faculty of Health Sciences in Katowice, Medical University of Silesia, 40-635 Katowice, Poland;
| |
Collapse
|
7
|
Zekibakhsh Mohammadi N, Kianimoghadam AS, Mikaeili N, Asgharian SS, Jafari M, Masjedi-Arani A. Sleep Disorders and Fatigue among Patients with MS: The Role of Depression, Stress, and Anxiety. Neurol Res Int 2024; 2024:6776758. [PMID: 38322749 PMCID: PMC10843872 DOI: 10.1155/2024/6776758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 01/07/2024] [Accepted: 01/18/2024] [Indexed: 02/08/2024] Open
Abstract
Sleep disorders and fatigue represent prominent symptoms frequently experienced by individuals with multiple sclerosis (MS). Some psychological factors such as depression, stress, and anxiety seem to have a relationship with such problems. This study aimed to examine the role of depression, stress, and anxiety in predicting sleep disorders and fatigue among patients with MS. Employing a cross-sectional descriptive-correlational design, the study involved a sample size of 252 participants selected through purposive sampling based on inclusion and exclusion criteria. We utilized a demographic information questionnaire along with the Mini-Sleep Questionnaire (MSQ), Fatigue Severity Scale (FSS), and Depression, Anxiety, and Stress Scale (DASS-21) to collect data and analyzed them applying SPSS22, incorporating statistical measures including Pearson correlation and regression. The results of the Pearson correlation coefficient showed that sleep disorders had a positive and significant relationship with depression (r = 0.56; P < 0.001), stress (r = 0.40; P < 0.001), and anxiety (r = 0.52; P < 0.001). There was no significant relationship between age and the development of sleep disorders in total score (r = -0.001; P < 0.985), but age had a relationship with insomnia (r = -0.146; P < 0.021) and oversleeping (r = 0.153; P < 0.015). Age and fatigue did not have a significant relationship as well (r = -0.044; P < 0.941). In addition, fatigue had a positive and significant relationship with depression (r = 0.52; P < 0.001), stress (r = 0.48; P < 0.001), and anxiety (r = 0.54; P < 0.001). The results of the regression analysis also showed that depression, stress, and anxiety predict 0.37% of the total variance of sleep disorders (F = 48.34; P < 0.001) and 0.35% of the total variance of fatigue (F = 44.64; P < 0.001). Our findings suggest that depression, stress, and anxiety play a significant role in predicting sleep disorders and fatigue among patients with MS. This study has been reported in accordance with the TREND checklist for nonrandomized trials.
Collapse
Affiliation(s)
- Nassim Zekibakhsh Mohammadi
- Department of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Amir Sam Kianimoghadam
- Department of Clinical Psychology, Religion and Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Niloofar Mikaeili
- Department of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
| | | | - Mahdieh Jafari
- Department of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Abbas Masjedi-Arani
- Department of Clinical Psychology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
8
|
Strauss S, Herr T, Nafz C, Seusing N, Grothe M. The Cortical Silent Period and Its Association with Fatigue in Multiple Sclerosis: The Need for Standardized Data Collection. Brain Sci 2023; 14:28. [PMID: 38248243 PMCID: PMC10813082 DOI: 10.3390/brainsci14010028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/17/2023] [Accepted: 12/22/2023] [Indexed: 01/23/2024] Open
Abstract
The cortical silent period (CSP), assessed with transcranial magnetic stimulation (TMS), provides insights into motor cortex excitability. Alterations in the CSP have been observed in multiple sclerosis (MS), although a comparison of the sometimes contradictory results is difficult due to methodological differences. The aim of this study is to provide a more profound neurophysiological understanding of fatigue's pathophysiology and its relationship to the CSP. Twenty-three patients with MS, along with a matched control group, underwent comprehensive CSP measurements at four intensities (125, 150, 175, and 200% resting motor threshold), while their fatigue levels were assessed using the Fatigue Scale for Motor and Cognitive Functions (FSMC) and its motor and cognitive subscore. MS patients exhibited a significantly increased CSP duration compared to controls (p = 0.02), but CSP duration was not associated with the total FSMC, or the motor or cognitive subscore. Our data suggest a systematic difference in MS patients compared to healthy controls in the CSP but no association with fatigue when measured with the FSMC. Based on these results, and considering the heterogeneous literature in the field, our study highlights the need for a more standardized approach to neurophysiological data collection and validation. This standardization is crucial for exploring the link between TMS and clinical impairments in diseases like MS.
Collapse
Affiliation(s)
| | | | | | | | - Matthias Grothe
- Department of Neurology, University Medicine of Greifswald, 17475 Greifswald, Germany; (S.S.); (N.S.)
| |
Collapse
|
9
|
Zawadka-Kunikowska M, Rzepiński Ł, Cieślicka M, Klawe JJ, Tafil-Klawe M. Association between Daytime Sleepiness, Fatigue and Autonomic Responses during Head-Up Tilt Test in Multiple Sclerosis Patients. Brain Sci 2023; 13:1342. [PMID: 37759943 PMCID: PMC10526123 DOI: 10.3390/brainsci13091342] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 09/10/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
We aimed to assess dynamic changes in hemodynamic and autonomic function in response to the head-up tilt test (HUTT) in patients with multiple sclerosis (MS) compared to healthy controls (HCs) and evaluate its relationship with the patients' reported daytime sleepiness and fatigue symptoms. A total of 58 MS patients and 30 HCs were included in the analysis. Fatigue and sleepiness were evaluated using the Chalder Fatigue Scale (CFQ) and the Epworth Sleepiness Scale (ESS), respectively. Hemodynamic response, baroreflex sensitivity, heart rate variability, and systolic and diastolic blood pressure (BP) variability (SBPV, DBPV) parameters were calculated at rest, and in response to the HUTT. The MS patients displayed attenuated BP responses coupled with a more pronounced decrease in cardiac index as well as a reduced increase in the low frequency (LFnu) of DBPV (p = 0.021) and the sympathovagal ratio (p = 0.031) in the latter-phase orthostatic challenge compared to HCs. In MS patients, the ESS score showed no correlation with CFQ or clinical disease outcomes, but exhibited a moderate correlation with LFnu of BPVrest. Fatigue and disease variants predicted blood pressure response to HUTT. These findings underscore the importance of subjective daytime sleepiness and fatigue symptoms and their role in blood pressure regulation in MS patients.
Collapse
Affiliation(s)
- Monika Zawadka-Kunikowska
- Department of Human Physiology, Nicolaus Copernicus University, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Karłowicza 24, 85-092 Bydgoszcz, Poland; (M.C.); (M.T.-K.)
| | - Łukasz Rzepiński
- Sanitas–Neurology Outpatient Clinic, Dworcowa 110, 85-010 Bydgoszcz, Poland;
- Department of Neurology, 10th Military Research Hospital and Polyclinic, 85-681 Bydgoszcz, Poland
| | - Mirosława Cieślicka
- Department of Human Physiology, Nicolaus Copernicus University, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Karłowicza 24, 85-092 Bydgoszcz, Poland; (M.C.); (M.T.-K.)
| | - Jacek J. Klawe
- Department of Hygiene, Epidemiology, Ergonomy and Postgraduate Education, Nicolaus Copernicus University, Ludwik Rydygier Collegium Medicum in Bydgoszcz, M. Sklodowskiej-Curie 9, 85-094 Bydgoszcz, Poland;
| | - Małgorzata Tafil-Klawe
- Department of Human Physiology, Nicolaus Copernicus University, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Karłowicza 24, 85-092 Bydgoszcz, Poland; (M.C.); (M.T.-K.)
| |
Collapse
|
10
|
Reich N, Delavari F, Schneider M, Thillainathan N, Eliez S, Sandini C. Multivariate patterns of disrupted sleep longitudinally predict affective vulnerability to psychosis in 22q11.2 Deletion Syndrome. Psychiatry Res 2023; 325:115230. [PMID: 37201254 DOI: 10.1016/j.psychres.2023.115230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 05/20/2023]
Abstract
22q11.2 deletion syndrome (22q11DS) contributes dramatically to increased genetic risk for psychopathology, and in particular schizophrenia. Sleep disorders, including obstructive sleep apnea (OSA), are also highly prevalent, making 22q11DS a unique model to explore their impact on psychosis vulnerability. Still, the contribution of sleep disturbances to psychosis vulnerability remains unclear. We characterized the sleep phenotype of 69 individuals with 22q11DS and 38 healthy controls with actigraphy and sleep questionnaires. Psychiatric symptoms were measured concomitantly with the baseline sleep assessment and at longitudinal follow-up, 3.58±0.85 years later. We used a novel multivariate partial-least-square-correlation (PLSC) approach to identify sleep patterns combining objective and subjective variables, which correlated with psychiatric symptoms. We dissected longitudinal pathways linking sleep disturbances to psychosis, using multi-layer-network-analysis. 22q11DS was characterized by a non-restorative sleep pattern, combining increased daytime fatigue despite longer sleep duration. Non-restorative sleep combined with OSA symptoms correlated with both emotional and psychotic symptoms. Moreover, a sleep pattern evocative of OSA predicted longitudinal worsening of positive and negative symptoms, by accentuating the effects of emotional dysregulation. These results suggest that sleep disturbances could significantly increase psychosis risk, along an affective pathway. If confirmed, this suggests that systematic screening of sleep quality could mitigate psychosis vulnerability in 22q11DS.
Collapse
Affiliation(s)
- Natacha Reich
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland
| | - Farnaz Delavari
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland; Neuro-X Institute, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Maude Schneider
- Clinical Psychology Unit for Intellectual and Developmental Disabilities, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Niveettha Thillainathan
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva School of medicine, Geneva, Switzerland
| | - Corrado Sandini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of medicine, Geneva, Switzerland.
| |
Collapse
|
11
|
Central Disorders of Hypersomnolence: Association with Fatigue, Depression and Sleep Inertia Prevailing in Women. Brain Sci 2022; 12:brainsci12111491. [PMID: 36358417 PMCID: PMC9688316 DOI: 10.3390/brainsci12111491] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 10/30/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022] Open
Abstract
Fatigue, depression, and sleep inertia are frequently underdiagnosed manifestations in narcolepsy and idiopathic hypersomnia. Our cross-sectional study design included diagnostic interview accompanied by assessment instruments and aimed to explore how these factors influence disease severity as well as to elucidate any sex predisposition. One hundred and forty-eight subjects (female 63%) were divided into narcolepsy type 1 (NT1; n = 87, female = 61%), narcolepsy type 2 (NT2; n = 22, female = 59%), and idiopathic hypersomnia (IH; n = 39, female = 69%). All subjects completed a set of questionnaires: Epworth Sleepiness Scale (ESS), Hospital Anxiety and Depression Scales (HADS), Fatigue Severity Scale (FSS), and Sleep Inertia Questionnaire (SIQ). In narcoleptic subjects, questionnaire data were correlated with the Narcolepsy Severity Scale (NSS), and in subjects with idiopathic hypersomnia, with the Idiopathic Hypersomnia Severity Scale (IHSS). The highest correlation in narcoleptic subjects was found between NSS and ESS (r = 0.658; p < 0.0001), as well as FSS (r = 0.506; p < 0.0001), while in subjects with idiopathic hypersomnia, the most prominent positive correlations were found between IHSS and SIQ (r = 0.894; p < 0.0001), FSS (r = 0.812; p < 0.0001), HADS depression scale (r = 0.649; p = 0.0005), and HADS anxiety scale (r = 0.528; p < 0.0001). ESS showed an analogic correlation with disease severity (r = 0.606; p < 0.0001). HADS anxiety and depression scores were higher in females (p < 0.05 and p < 0.01), with similar results for FSS and SIQ scales (p < 0.05 for both), and a trend toward higher ESS values in females (p = 0.057). Our study illustrates that more attention should be focused on pathophysiological mechanisms and associations of fatigue, depression, as well as sleep inertia in these diseases; they influence the course of both illnesses, particularly in women.
Collapse
|