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Using measures of sarcopenia to predict recurrent cerebrovascular events in stroke and TIA patients

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posted on 2023-06-10, 06:05 authored by Frances A Kirkham, Philip Rankin, Eva Bunting, Khalid Mustafa AliKhalid Mustafa Ali, Rajkumar Chakravarthi
Purpose Sarcopenia is associated with poor outcomes, and evidence suggests an inverse relationship between skeletal muscle mass and cardiovascular risk. Sarcopenia has been studied after stroke, but its value as a risk factor for stroke has not been examined. This prospective cohort study measured sarcopenia in stroke/TIA patients at baseline to explore its role in predicting recurrent events. Method The Arterial Stiffness In lacunar Stroke and TIA (ASIST) study included 96 patients with TIA/lacunar stroke, of which 82 patients (mean age 71.2±10.8 years) had bioimpedance analysis to assess body composition. Skeletal Mass Index (SMI) was calculated and parameters of sarcopenia assessed using Davison (1) and Janssen (2) criteria. Recurrent cerebrovascular events were monitored over 5 years. Results Eighteen patients had recurrent events. On independent samples t test there were significantly more participants with sarcopenia in the recurrent events group (89% vs 56%, p<0.001) using Davison (1) criteria, as well as lower mean SMI, significantly more participants with diabetes and higher arterial stiffness. On binary logistic regression, the only significant predictors of recurrent events were SMI (p=0.036, hazard ratio=0.414, 95% confidence interval 0.195-0.948) and diabetes (p=0.004, hazard ratio=9.06, 95% confidence interval 2.009-40.860) when corrected for age, sex and cardiovascular risk factors. Using Janssen (2) criteria in the regression, severe sarcopenia was a significant predictor of recurrent events (p=0.028). There was a significant association between sarcopenia and recurrent events on Chi square based on Davison (p=0.02) and Janssen (p=0.034) definitions. Conclusions The presence of baseline sarcopenia in stroke and TIA patients is an independent predictor of recurrent events.


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Journal of Stroke and Cerebrovascular Diseases









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