3-Factor Prediction Tool Targets Inactivity After Stroke to Prevent Recurrent Heart Events
International Journal of Stroke (IJS) shared on X:
”Development of a clinical prediction rule to identify people at risk of inactive movement behavior patterns. Early identification based on age, sex, and patient-reported fatigue can facilitate stratification for interventions.”
Read the full article here.
Sage Journals recently published an article by Sophie Pagen et al.
A clinical prediction rule has been developed to identify survivors at risk of deteriorating movement behaviour, a key factor for recurrent cardiovascular events.
Based on age, sex, and self-reported fatigue, the tool enables early stratification for tailored interventions to promote physical activity and support secondary prevention.
While internally validated, external validation is needed before clinical application!
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