ArticleBrain and behavior2023
Prevalence and clinical predictors of spasticity after intracerebral hemorrhage.
Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Trial
- Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study.Annals of medicine · 2026Article
- Three-dimensional gait analysis for assessing dynamic ankle spasticity after stroke.Journal of neuroengineering and rehabilitation · 2026Article
- Post-stroke pain syndromes in Africa: epidemiology, clinical phenotypes, and unmet needs in assessment and management.Frontiers in neurology · 2026Review
- Article
- Prognostic Significance of Serum NLRP3 in Spontaneous Intracerebral Hemorrhage.International journal of general medicine · 2025Article
- Neck muscle spasticity in patients with disorder of consciousness: a pilot study.European journal of physical and rehabilitation medicine · 2024Article
- Prevalence and clinical predictors of spasticity after intracerebral hemorrhage.Brain and behavior · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
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Abstract
backgroundSpasticity is a common complication of intracerebral hemorrhage (ICH). However, no consensus exists on the relation between spasticity and initial clinical findings after ICH.
methodsThis retrospective study enrolled adult patients with a history of ICH between January 2012 and October 2020. The modified Ashworth scale was used to assess spasticity. A trained image analyst traced all ICH lesions. Multivariable logistic regression was used to examine the association between ICH lesion sites and spasticity.
resultsWe finally analyzed 304 patients (mean age 54.86 ± 12.93 years; 72.04% men). The incidence of spasticity in patients with ICH was 30.92%. Higher National Institutes of Health stroke scale (NIHSS) scores were associated with an increased predicted probability for spasticity (odds ratio, OR = 1.153 [95% confidence interval, CI 1.093-1.216], p < .001). Logistic regression analysis revealed that lower age, higher NIHSS scores, and drinking were associated with an increased risk of moderate-to-severe spasticity (OR = 0.965 [95% CI 0.939-0.992], p = .013; OR = 1.068 [95% CI 1.008-1.130], p = .025; OR = 4.809 [95% CI 1.671-13.840], p = .004, respectively). However, smoking and ICH in the thalamus were associated with a reduced risk of moderate-to-severe spasticity (OR = 0.200 [95% CI 0.071-0.563], p = .002; OR = 0.405 [95% CI 0.140-1.174], p = .046, respectively) compared with ICH in the basal ganglia.
conclusionsOur results suggest that ICH lesion locations are at least partly associated with post-stroke spasticity rather than the latter simply being a physiological reaction to ICH itself. The predictors for spasticity after ICH were age, NIHSS scores, past medical history, and ICH lesion sites.
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