'Brain Age' Gap Predicts Post-Stroke Outcomes
Researchers used an open-source radiomics program to analyze T2-FLAIR MRI images captured within 24-48 hours of a stroke in 4163 patients (mean age, 62.8 years). They estimated each patient's age based on those brain images, then compared the RBA figure to a patient's actual chronological age.

Most patients' RBA was either higher or lower than their actual age, with very few cases matching RBA and chronological age exactly. They then measured prevalence of stroke risk factors such as diabetes, hypertension, and a history of prior stroke to see if there were differences in patients with a higher brain age. Having had a prior stroke was the most influential clinical factor affecting RBA (P < .001), followed by diabetes (P = .003), hypertension (P = .021), and smoking (P = .024).

When they examined the patients with the poorest post-stroke functional outcomes, they found that those with a higher RBA fared far worse than those with a lower brain age. In fact, RBA was the most significant determinant in poor outcomes (adjusted odds ratio [aOR], 0.76; P < .001), followed by age, prior stroke, and National Institutes of Health Stroke Scale (NIHSS) score.

Source: https://www.medscape.com/viewarticle/973528?src=rss
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