Evidence map›Paper›PMID 40555546›Full record

ArticleGeriatrics & gerontology international2025

Self-reported autonomic dysfunction could be a predictive marker for sarcopenia in Parkinson's disease.

Motohiro Okumura, Yohei Mukai, Reiko Saika, Yuji Takahashi

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Motohiro OkumuraDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1973-4816
Yohei MukaiDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Reiko SaikaDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yuji TakahashiDepartment of Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAutonomic dysfunction and motor symptoms are prevalent in Parkinson's disease (PD). Motor symptoms influence sarcopenia; however, the association between sarcopenia and non-motor symptoms, particularly autonomic dysfunction, remains unclear. This study determined the effect of autonomic dysfunction on sarcopenia in patients with PD.

methodsConsecutive patients with PD (Hoehn and Yahr stages 1-3) without apparent dementia were screened. The Scales for Outcomes in Parkinson's Disease-Autonomic Questionnaire (SCOPA-AUT) was utilized to evaluate the severity of autonomic dysfunction. Sarcopenia was assessed using the 2019 Asian Diagnostic Criteria. This study examined whether the SCOPA-AUT and its domains were associated with sarcopenia and used receiver operating characteristic analysis to evaluate their predictive performance.

resultsOf the 124 patients (76 [61%] men; median age, 68 years) included, sarcopenia was identified in 31 (25%). Poisson regression analysis with a robust variance estimator showed that a higher SCOPA-AUT score is associated with sarcopenia (prevalence ratio 1.078, 95% CI 1.034-1.122, p < 0.001). Regarding SCOPA-AUT domains, higher scores for gastrointestinal functioning, urinary functioning and pupillomotor functioning were significantly associated with sarcopenia. Receiver operating characteristic analysis showed that the optimal cut-off value for SCOPA-AUT was 16 (area under the curve 0.730, 95% CI 0.615-0.844). For each SCOPA-AUT domain, a cut-off of 8 for gastrointestinal functioning (area under the curve 0.744, 95% CI 0.630-0.858) predicted sarcopenia more reliably than urinary and pupillomotor functioning.

conclusionsHigher SCOPA-AUT scores, particularly in the gastrointestinal function domain, might be an optimal predictive marker for sarcopenia in patients with PD. Geriatr Gerontol Int 2025; 25: 1074-1081.

Indexed as

Autonomic Nervous System DiseasesParkinson DiseaseSarcopeniaAgedAged, 80 and overFemaleHumansMaleMiddle AgedROC CurveSelf ReportSeverity of Illness Indexagingautonomic dysfunctionParkinson's diseasesarcopeniaScales for Outcomes in Parkinson's Disease‐Autonomic Questionnaire (SCOPA‐AUT)

Identifiers

PMID40555546
PMCPMC12336432

What Socratic holds

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LicenceCC BY
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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 Socratic graph.