Falls in Spinocerebellar Ataxias: Results of the EuroSCA Fall Study

@article{Fonteyn2010FallsIS,
  title={Falls in Spinocerebellar Ataxias: Results of the EuroSCA Fall Study},
  author={Ella M. R. Fonteyn and Tanja Schmitz-H{\"u}bsch and Carla C. P. Verstappen and Laslo Baliko and Bastiaan R. Bloem and S. Boesch and Lisa M. Bunn and P. Charles and Alexandra D{\"u}rr and A. Filla and Paola Giunti and Christoph Globas and Thomas Klockgether and B{\'e}la Melegh and Massimo Pandolfo and Anna De Rosa and Ludger Sch{\"o}ls and Dagmar Timmann and Marten Munneke and B Kremer and Bart P. C. Warrenburg},
  journal={The Cerebellum},
  year={2010},
  volume={9},
  pages={232-239}
}
To investigate the frequency, details, and consequences of falls in patients with autosomal dominant spinocerebellar ataxias (SCAs) and to derive specific disease-related risk factors that are associated with an increased fall frequency. Two hundred twenty-eight patients with SCA1, SCA2, SCA3, or SCA6, recruited from the EuroSCA natural history study, completed a fall questionnaire that assessed the frequency, consequences, and several details of falls in the previous 12 months. Relevant… 
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54 Citations
Highly Influential Citations
3
Background Citations
18
Methods Citations
2
Results Citations
2

54 Citations

Prospective Analysis of Falls in Dominant Ataxias
TLDR
This study confirms that falls are a frequent and serious complication of SCA, and that the presence of nonataxia symptoms is an important etiological factor in its occurrence.
Establish a Nomogram to Predict Falls in Spinocerebellar Ataxia Type 3
TLDR
Patients with dystonia, hyperreflexia, urinary incontinence, and hidrosis, and more types of abnormal eye movement had a more rapid progression to falls in patients with SCA3.
Multimodal Mobility Assessment Predicts Fall Frequency and Severity in Cerebellar Ataxia.
TLDR
A stepwise approach for fall risk assessment in patients with CA is encouraged: fall history-taking readily and reliably informs the clinician about patients' general fall risk, and clinical scoring and instrument-based mobility measures provide further in-depth information on the risk of recurrent and injurious falling.
Gait variability predicts a subset of falls in cerebellar gait disorders
TLDR
Three major fall mechanisms were identified and categorized as: (1) transitions from one body position to another, e.g., from lying to standing, (2) tripping while unperturbed walking and (3) managing stairs.
Impaired Lower Limb Proprioception in Spinocerebellar Ataxia Type 3 and Its Affected Factors
TLDR
Lower limb proprioception in patients with SCA3 is significantly impaired when compared to healthy controls, and increasing age at onset and disease duration are related to impaired lower limb propriOception.
Functionality and disease severity in spinocerebellar ataxias
TLDR
Analysis on the correlation between the severity of ataxia and functional scales can form an important guide for understanding the progression of functional dependence among individuals with SCAs.
Dysautonomia Is Frequent in Machado-Joseph Disease: Clinical and Neurophysiological Evaluation
TLDR
Evidence of both cardiovascular and sudomotor dysfunction in the disease is found, and autonomic manifestations were related neither to genetic (CAG repeat length) nor clinical parameters (age, disease duration, SARA scores).
Functional impairment in patients with myotonic dystrophy type 1 can be assessed by an ataxia rating scale (SARA)
TLDR
The use of a scale previously described for the assessment and rating of ataxia (SARA) with the hypothesis that it could have utility in DM1 patients as a measure of disease severity and risk of falling is investigated.
Risk factors for falls in multiple sclerosis: an observational study
TLDR
This study confirms the high prevalence of falls in ambulant people with MS and important potentially modifiable risk factors are identified, suggesting aspects to target in falls interventions.
Increased gait variability is associated with the history of falls in patients with cerebellar ataxia
TLDR
Gait variability is linked to the fall risk of patients with CA, slow walking and temporal gait variability being most relevant, and the use of speed-dependent integrals of gact variability improves the accuracy of fall prediction.
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