Friday, April 1, 2022

'Younger' Brain Associated With Lower Risk of Post-Stroke Cognitive Disorders

 This doesn't matter at all. Your doctor is still responsible to get you 100% recovered regardless of your cognitive status.  Don't let your doctor weasel their way out of this responsibility by quoting the craptastic saying: 'All strokes are different, all stroke recoveries are different.' That quote means they know nothing about stroke and are out-of-date on research.  You don't want them treating you.

'Younger' Brain Associated With Lower Risk of Post-Stroke Cognitive Disorders

 

Dawn Elliott Knapp, PA-C, for Medscape

March 30, 2022

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The study covered in this summary was published on MedRxiv.org as a preprint and has not yet been peer reviewed.

Key Takeaways

  • Patients with greater brain age gaps (BAG, the difference between predicted and chronological brain age) were more likely to have developed neurocognitive disorders (NCD) post-stroke.

  • "Younger" brains (lower BAG) appear to be more resilient to injury and are associated with lower risk for NCD up to 36 months after a stroke.

  • As BAG is sensitive to cognitive impairment after stroke, it may be used in order to predict cognitive outcome in stroke patients.

Why This Matters

  • Long-lasting mild to major cognitive impairments affect 35%–50% of stroke survivors and may not improve over time, a significant source of disability.

  • Brain age calculation could help identify which patients are particularly at risk for post-stroke NCD and could be used to guide treatment and rehabilitation to minimize impairment. 

Study Design

  • MRIs from 269 stroke survivors (55.4% women, mean age, 71 years) from the Nor-COAST study were assessed. MRIs were performed at baseline, 18 months, and 36 months post-stroke.

  • Neuropsychological data was collected at baseline, 3, 18, and 36 months post-stroke, consisting of standardized cognitive testing, Global Deterioration Scale, and classification of NCD using the DSM-5.

  • Predicted brain age was measured via machine learning models based on cortical thickness, surface area, and gray matter/white matter volume. Associations between cognitive status and longitudinal brain age were assessed using linear mixed effects models and survival analysis.

  • Statistical analyses were performed using R v. 3.3.3 and Stata v. 16 to test three hypotheses: 1) whether brain structural characteristics are associated with post-stroke NCD; 2) if a younger appearing brain among patients showing normal cognitive function at baseline is associated with lower risk of NCD at 18- and 36- months follow-up, and 3) whether patients showing preserved cognitive function from baseline onward show less evidence of brain aging over time compared with patients showing cognitive decline.

Key Results

  • "Older" brains (higher BAG) were associated with post-stroke cognitive impairment at 18 and 36 months, confirming that a “younger" brain may confer protective factors against cognitive decline after stroke.

  • There was no significant difference in BAG between the group with preserved brain function vs the group with NCD from baseline and across follow-up times.

  • Pre-stroke BAG may be a more reliable predictor for future cognitive decline than post-stroke BAG.

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