Evidence map›Paper›PMID 41731258›Full record

ArticleClinical autonomic research : official journal of the Clinical Autonomic Research Society2026

Heart rate variability provides prognostic value in multiple system atrophy.

Paulo Bastos, Marc Kermorgant, Margherita Fabbri, Frederic Roche, Vincent Pichot, Fabienne Ory-Magne, Clémence Leung, Olivier Rascol, Wassilios G Meissner, Alexandra Foubert-Samier and 3 more

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Article in Clinical autonomic research : official journal of the Clinical Autonomic Research Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Paulo BastosDepartment of Clinical Pharmacology and Neurosciences, University of Toulouse 3, Hôpital Pierre Paul Riquet, Toulouse University Hospital, Place du Dr Baylac, 31059, Toulouse, France. pauloandrediasbastos01@gmail.com.
Marc KermorgantClinical Investigation Center CIC 1436, CHU de Toulouse, Toulouse, France.
Margherita FabbriDepartment of Clinical Pharmacology and Neurosciences, University of Toulouse 3, Hôpital Pierre Paul Riquet, Toulouse University Hospital, Place du Dr Baylac, 31059, Toulouse, France.
Frederic RocheDepartment of Clinical and Exercise Physiology Saint-Etienne University Hospital, Jean Monnet University, Saint-Etienne, France.
Vincent PichotDepartment of Clinical and Exercise Physiology Saint-Etienne University Hospital, Jean Monnet University, Saint-Etienne, France.
Fabienne Ory-MagneDepartment of Clinical Pharmacology and Neurosciences, University of Toulouse 3, Hôpital Pierre Paul Riquet, Toulouse University Hospital, Place du Dr Baylac, 31059, Toulouse, France.
Clémence LeungDepartment of Clinical Pharmacology and Neurosciences, University of Toulouse 3, Hôpital Pierre Paul Riquet, Toulouse University Hospital, Place du Dr Baylac, 31059, Toulouse, France.
Olivier RascolDepartment of Clinical Pharmacology and Neurosciences, University of Toulouse 3, Hôpital Pierre Paul Riquet, Toulouse University Hospital, Place du Dr Baylac, 31059, Toulouse, France.
Wassilios G MeissnerService de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, CHU Bordeaux, Bordeaux, France.
Alexandra Foubert-SamierService de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, CHU Bordeaux, Bordeaux, France.
David BendetowiczService de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, CHU Bordeaux, Bordeaux, France.
Cécile Proust LimaINSERM, UMR1219, Bordeaux Population Health Research Center, University of Bordeaux, ISPED, Bordeaux, France.
Anne Pavy-le-TraonClinical Investigation Center CIC 1436, CHU de Toulouse, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple system atrophy (MSA) is a progressive neurodegenerative disorder characterized by autonomic dysfunction, parkinsonism, and cerebellar impairment. Understanding the physiological correlates of disease severity and survival remains challenging due to heterogeneity in disease progression. Heart rate variability (HRV) is a noninvasive measure of autonomic nervous system function. However, the role of nonlinear HRV in MSA remains incompletely understood.

methodsThis study investigated the association between HRV features, clinical severity, and survival in MSA (n = 214). Regression models were used to examine relationships between HRV and disease severity assessed by the Unified MSA Rating Scale (UMSARS), as well as time to death. Survival analyses evaluated the contribution of HRV features to risk stratification, and mediation analysis explored the relationships among HRV, UMSARS, and survival.

resultsHRV features were negatively associated with disease severity, consistent with progressive autonomic dysfunction. While individual HRV features showed limited associations with UMSARS, their combination demonstrated a stronger relationship. Models incorporating HRV features showed associations with time to death comparable to those based on UMSARS, and the combined inclusion of HRV and UMSARS was associated with improved accuracy. Mediation analyses suggested that HRV captures physiological information related to survival that is not fully reflected by clinical severity scores.

conclusionsHRV features are associated with disease severity and survival in MSA and provide complementary physiological information beyond established clinical scales. These findings support the relevance of HRV as an exploratory modeling tool for autonomic dysfunction in MSA and highlight candidate features for future longitudinal and validation studies, rather than establishing a validated prognostic model.

Indexed as

Heart RateMultiple System AtrophyAgedAutonomic Nervous SystemDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexDysautonomiaHRVMSANeurodegeneration

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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.