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Clinical Equations Predict Community Participation at 3 and 6 Months After Stroke: A Cohort Study
Thaciany Correia1, Elizângela Kuster, Letícia Ventura
1Department of Physiotherapy, CAMINHAR Lab, Center of Health Sciences, Post-graduate program in Physiological Sciences, Universidade Federal do Espírito Santo, Vitória, Brazil (T.C., E.K., L.V., L.R.N.); and Department of Collective Health, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil (S.S.).
Early stroke assessments can predict future participation. Simple clinical equations help forecast a stroke survivor's participation level at 3 and 6 months post-stroke.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Clinical Prediction Modeling
Background:
- Stroke survivors often face significant participation restrictions.
- Predicting long-term participation is crucial for effective rehabilitation planning.
Purpose of the Study:
- To determine if early post-stroke measures predict participation at 3 and 6 months.
- To develop clinical prediction equations for post-stroke participation.
Main Methods:
- Prospective cohort study of 251 adult stroke survivors.
- Data collected within 7 days of stroke, and at 28 days, 3, and 6 months.
- Participation measured by Stroke Impact Scale; predictors included mobility, cognition, self-efficacy, and functional independence.
Main Results:
- A prediction equation for 3-month participation (P-3) explained 26% of variance (R2=0.26).
- A prediction equation for 6-month participation (P-6) explained 48% of variance (R2=0.48).
- Both equations demonstrated moderate positive and high negative predictive values.
Conclusions:
- Simple clinical equations accurately predict participation levels early after stroke.
- These equations utilize data collected shortly after stroke onset.
- The findings support early identification of individuals at risk for participation limitations.
