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Published on: June 12, 2019
Toward an epidemiology of poststroke spasticity
Jörg Wissel1, Aubrey Manack, Michael Brainin
1Neurorehabiliation Unit, Department of Neurology, Vivantes Hospital Spandau, Berlin, Germany. joerg.wissel@vivantes.de
Poststroke spasticity (PSS) affects many stroke survivors, with prevalence varying by time post-stroke. Early identification of PSS risk factors like paresis and pain is crucial for timely treatment.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Clinical Epidemiology
Background:
- Poststroke spasticity (PSS) is a significant cause of disability in stroke survivors.
- Early identification and prediction of PSS are needed to mitigate complications and maladaptation.
- Current prevalence estimates for PSS are highly variable, ranging from 4% to 42.6%.
Purpose of the Study:
- To review the literature on the time course, prevalence, and risk factors of poststroke spasticity.
- To identify potential predictors for early detection of PSS.
- To recommend optimal assessment strategies for PSS across different care phases.
Main Methods:
- Literature review focusing on stroke, upper motor neuron syndrome, spasticity, contracture, and muscle tone.
- Analysis of data on the dynamic time course and prevalence of PSS.
- Identification of risk factors associated with PSS development.
Main Results:
- Prevalence of disabling spasticity ranges from 2% to 13%.
- PSS evidence varies by phase: 4-27% (early), 19-26.7% (postacute), 17-42.6% (chronic).
- Key risk factors include low Barthel Index scores, severe paresis, pain, and sensory deficits.
Conclusions:
- Existing PSS measures limit the strength of findings, hindering reliable prediction.
- Optimal PSS assessment requires a combination of clinical, functional, and patient-reported outcomes.
- Further research into physiological predictors and standardized measures is essential for early, multimodal PSS treatment.
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