Evidence map›Paper›PMID 42321480›Full record

ArticleJournal of neurology2026

Extensive dysautonomia in early-stage multiple system atrophy reflects survival differences: insights from data-driven subtypes.

Su Hyeon Ha, Hui-Jun Yang, Seungmin Lee, Kyung Ah Woo, Jung Hwan Shin, Han-Joon Kim

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Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Su Hyeon HaDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Hui-Jun YangDepartment of Neurology, Gachon University Gil Hospital, Incheon, Republic of Korea.
Seungmin LeeDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Kyung Ah WooDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Jung Hwan ShinDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Han-Joon KimDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea. movement@snu.ac.kr.ORCID http://orcid.org/0000-0001-8219-9663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple system atrophy (MSA) is a clinically heterogeneous disorder. Conventional motor phenotype-based classification provides limited prognostic information. Previously, we identified data-driven subtypes of early-stage MSA using a latent class analysis (LCA) that incorporated both motor and non-motor features. However, the prognostic significance of these subtypes remains unclear.

methodsWe analyzed the survival outcomes in a previously reported cohort of 61 patients with probable or possible MSA enrolled within three years of motor symptom onset. Patients were classified according to LCA-derived subtypes and dichotomized into an extensive or restricted dysautonomia group based on shared autonomic profiles. Overall survival was assessed using Kaplan-Meier analysis and compared using the log-rank test. Cox proportional hazards models were used to estimate hazard ratios (HRs) with progressive adjustments for the age at onset, sex, baseline disease severity (Unified Multiple System Atrophy Rating Scale, UMSARS Part I), and disease duration at enrollment.

resultsSurvival analysis was performed in 60 patients, 47 of whom died by the end of follow-up. The extensive dysautonomia group showed a significantly shorter median survival than the restricted group (6.0 vs. 7.0 years; log-rank p = 0.008). After adjusting for the age at onset and sex, the restricted group had a lower risk of mortality (adjusted HR: 0.538, 95% CI 0.290-0.996; p = 0.049). This association was attenuated after additional adjustments for the baseline disease severity (UMSARS Part I) and disease duration.

conclusionsData-driven subtypes defined by early symptom patterns correspond to clinically meaningful survival differences in patients with MSA. Extensive dysautonomia reflects a more malignant, globally severe phenotype than isolated autonomic involvement, highlighting the prognostic relevance of incorporating non-motor features into early MSA classification.

Indexed as

Multiple System AtrophyPrimary DysautonomiasAgedCohort StudiesFemaleHumansKaplan-Meier EstimateLatent Class AnalysisMaleMiddle AgedPrognosisProportional Hazards ModelsSeverity of Illness IndexSurvival AnalysisDysautonomiaLatent class analysisMultiple system atrophyPrognosisSurvival analysis

Identifiers

PMID42321480
PMCPMC13282191

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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.