Evidence map›Paper›PMID 29957350›Full record

ArticleMultiple sclerosis and related disorders2018

Heart rate variability analysis in patients with multiple sclerosis.

Ozbek Damla, Cincin Altug, Kahraman Koytak Pinar, Kepez Alper, Ince Gunal Dilek, Agan Kadriye

Abstract read
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In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. 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 · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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 · 2021
    Article
  11. Article
  12. Cardiac autonomic function in patients with early multiple sclerosis.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2021
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Autonomic dysfunction in multiple sclerosis and other updates on recent autonomic research.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2018
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ozbek DamlaMarmara University School of Medicine, Department of Neurology, Istanbul, Turkey. Electronic address: damlazbek@gmail.com.
Cincin AltugMarmara University School of Medicine, Department of Cardiology, Istanbul, Turkey.
Kahraman Koytak PinarMarmara University School of Medicine, Department of Neurology, Istanbul, Turkey.
Kepez AlperMarmara University School of Medicine, Department of Cardiology, Istanbul, Turkey.
Ince Gunal DilekMarmara University School of Medicine, Department of Neurology, Istanbul, Turkey.
Agan KadriyeMarmara University School of Medicine, Department of Neurology, Istanbul, Turkey.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Heart RateAdultAutonomic Nervous System DiseasesBrainDisability EvaluationFemaleHeart Rate DeterminationHumansImmunotherapyMaleMultiple Sclerosis, Relapsing-RemittingSpinal CordAutonomic dysfunctionHeart rate variabilityMultiple sclerosis

Identifiers

PMID29957350
OpenAlexW2809481968

What OpenQuestion holds

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Registered trials

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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.