[Long-term outcome prediction in patients with stroke].

[Long-term outcome prediction in patients with stroke].

Zh Nevrol Psikhiatr Im S S Korsakova. 2018;118(9. Vyp. 2):37-41

Authors: Tazartukova AD, Stakhovskaya LV

Abstract
AIM: To create a model to predict long-term stroke outcome using polysomnographic parameters.
MATERIAL AND METHODS: Authors prospectively enrolled 56 acute stroke patients. All subjects underwent clinical evaluation and polysomnographic study. A modified Rankin Scale was used to measure the degree of disability after stroke. Long-term stroke outcome was assessed 1 year post-stroke.
RESULTS AND CONCLUSION: REM-latency and apnea-hypopnea index are factors influencing long-term outcome of stroke. Including these parameters into the logistic regression model allows to predict stroke outcome at high levels of sensitivity and specificity.

PMID: 30499558 [PubMed - in process]

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