ArticleMultiple sclerosis and related disorders2018
Heart rate variability analysis in patients with multiple sclerosis.
Article in Multiple sclerosis and related disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
21 citing papers in PubMed, 38 citations in OpenAlex.
- Effects of Missing Data on Heart Rate Variability Measured From A Smartwatch: Exploratory Observational Study.JMIR formative research · 2025Observational
- Review
- Modeling multiple sclerosis using mobile and wearable sensor data.NPJ digital medicine · 2024Article
- Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications.Frontiers in digital health · 2024Article
- Heart rate variability and fatigue in MS: two parallel pathways representing disseminated inflammatory processes?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Review
- Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis.Frontiers in physiology · 2023Article
- Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis.Journal of clinical medicine · 2022Article
- Repetitive bout of controlled soccer heading does not alter heart rate variability metrics: A preliminary investigation.Frontiers in neurology · 2022Article
- Heart Rate Variability in Insulo-Opercular Epilepsy.Brain sciences · 2021Article
- Unveiling the relationship between autonomic involvement, fatigue, and cognitive dysfunction in early relapsing-remitting multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Article
- Effect of COVID-19 home confinement on sleep monitorization and cardiac autonomic function in people with multiple sclerosis: A prospective cohort studyPhysiology & behavior · 2021Article
- Cardiac autonomic function in patients with early multiple sclerosis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2021Article
- Autonomic dysfunctions in multiple sclerosis: Challenges of clinical practice (Review).Experimental and therapeutic medicine · 2020Review
- Cardiac Autonomic Modulation Is Different in Terms of Clinical Variant of Multiple Sclerosis.Journal of clinical medicine · 2020Article
- Cardiac Autonomic Dysfunction in Multiple Sclerosis: A Systematic Review of Current Knowledge and Impact of Immunotherapies.Journal of clinical medicine · 2020Review
- Cardiovascular Autonomic Dysfunction and Falls in People With Multiple Sclerosis: Is There a Link? An Opinion Article.Frontiers in neuroscience · 2020Article
- Relation between Heart Rate Variability and Disease Course in Multiple Sclerosis.Journal of clinical medicine · 2019Article
- Review
- Autonomic dysfunction in multiple sclerosis and other updates on recent autonomic research.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2018Article
- Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity.Multiple sclerosis journal - experimental, translational and clinicalArticle
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple sclerosis can cause cardiovascular autonomic dysfunction. It is assumed that is caused by multiple demyelinating plaques localized in the brain stem and spinal cord. Previous studies have determined this using tilt table test, heart rate responses to Valsalva maneuver and deep breathing and heart rate variability analysis with 24 h Holter monitoring. However there is not a consensus regarding the presence of the relationship between autonomic dysfunction and severity of multiple sclerosis, type of multiple sclerosis and expanded disability status scale. The aim of the study is comparison of heart rate variability between recently diagnosed patients with relapsing-remitting multiple sclerosis and healthy controls by using 24 h Holter monitoring. Also we intended to investigate relationship between Expanded Disability Status Scale score, Multiple Sclerosis Functional Composite scores and cranial and spinal magnetic resonance imaging findings and hearth rate variability.
methodFifty-one patients with newly diagnosed relapsing-remitting multiple sclerosis and 44 age- and sex-matched healthy controls were compared in this study. Patients with multiple sclerosis, who were already under immunomodulatory or immunosuppressive treatment, were excluded from the study. Echocardiography and hearth rate variability analysis using 24 h period Holter monitoring were performed in all of the subjects. Echocardiography was used to detect the presence of cardiac pathology. One multiple sclerosis patient with right ventricular dilatation and mobile intratrial septum was excluded from the study. All the patients underwent cranial and cervical spinal magnetic resonance imaging to determine the relationship between autonomic abnormalities and magnetic resonance imaging.
resultsOur results showed that hearth rate variability values were significantly lower in patients with multiple sclerosis when compared with healthy controls: SDNN index (the mean of all the 5 min standard deviations of normal RR intervals during the 24 h period) (59.80 ± 17.33 vs. 67.20 ± 21.28, p = 0,044), the root-mean-square successive difference (rMSSD) (34.40 ± 17.50 vs. 38.25 ± 12.95, p = 0,042), spectral hearth rat variability total power (3738.84 ± 2085.51 vs. 4427.44 ± 1965.71, p = 0,037), spectral hearth rate variability low frequency (852.03 ± 450.54 vs. 1011.75 ± 370.06, p = 0,018). Ten patients (20%) had brainstem lesion, 25 patients (50%) had cervical lesions and 10 patients (20%) had thoracic spinal lesions on magnetic resonance imaging. There was no significant relationship between location of the lesions and heart rate variability analyses. Also there was no significant relationship between hearth rate variability values and Expanded Disability Status Scale score, Multiple Sclerosis Functional Composite scores or number of multiple sclerosis attack (p > 0,05).
conclusionThese findings reveals that our study population with multiple sclerosis had decreased heart rate variability compared to healthy controls. This was reflected by dysfunction of both parasympathetic and sympathetic parameters of hearth rate variability analysis. However, there is no significant relationship between hearth rate variability analysis and the findings on cranial, cervical, thoracic spinal magnetic resonance imaging findings, number of attack, Expanded Disability Status Scale score or Multiple Sclerosis Functional Composite scores in patients with multiple sclerosis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.