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Related Experiment Video

Updated: Sep 23, 2025

A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia

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Published on: May 21, 2010

Female Urinary Retention Progressing to Possible Multiple System Atrophy-cerebellar Form after 12 Years.

Ryuji Sakakibara¹, Yuki Sekiguchi², Jalesh N Panicker³

¹Neurology, Internal Medicine, Sakura Medical Center, Toho University, Japan.

Internal Medicine (Tokyo, Japan)

|May 15, 2022

Summary

This summary is machine-generated.

Urinary retention preceded cerebellar ataxia in a possible multiple system atrophy-cerebellar form (MSA-C) patient. Specific urodynamic and EMG findings may predict MSA development.

Keywords:

magnetic resonance imaging multiple system atrophy sacral autonomic disorder sphincter electromyography urinary retention

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Area of Science:

Neurology
Urology
Autonomic Neuroscience

Background:

Multiple system atrophy-cerebellar form (MSA-C) is a progressive neurodegenerative disorder.
Urinary retention, a form of sacral autonomic disorder, can be an early symptom in neurological conditions.
Early identification of predictive markers for MSA-C is crucial for timely intervention.

Observation:

A 73-year-old Japanese woman presented with a 12-year history of urinary retention preceding cerebellar ataxia.
Urodynamic assessment revealed detrusor hyperactivity with impaired contraction (DHIC).
Sphincter electromyography (EMG) showed detrusor-sphincter dyssynergia (DSD) and neurogenic findings indicative of upper and lower neuron autonomic dysfunction.

Findings:

The combination of DHIC, DSD, and specific neurogenic EMG patterns was observed.
These urodynamic and EMG findings appeared predictive of the subsequent development of MSA-C.
The prolonged pre-ataxic phase highlights the potential for early diagnostic markers.

Implications:

This case suggests that specific sacral autonomic dysfunctions may serve as early predictors of MSA-C.
Urodynamic studies and sphincter EMG could be valuable tools in the early diagnosis of MSA-C.
Further research into autonomic dysfunction patterns may improve diagnostic strategies for neurodegenerative diseases.