Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study
The growing number of stroke survivors face physical, cognitive, and psychosocial impairments, making stroke a significant contributor to global disability. Various factors have been identified as key predictors of post-stroke outcomes. The aim of this study was to develop a standardized predictive...
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MDPI AG
2024-12-01
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| Series: | European Journal of Investigation in Health, Psychology and Education |
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| Online Access: | https://www.mdpi.com/2254-9625/14/12/200 |
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| author | Anna Tsiakiri Spyridon Plakias Pinelopi Vlotinou Aikaterini Terzoudi Aspasia Serdari Dimitrios Tsiptsios Georgia Karakitsiou Evlampia Psatha Sofia Kitmeridou Efstratios Karavasilis Nikolaos Aggelousis Konstantinos Vadikolias Foteini Christidi |
| author_facet | Anna Tsiakiri Spyridon Plakias Pinelopi Vlotinou Aikaterini Terzoudi Aspasia Serdari Dimitrios Tsiptsios Georgia Karakitsiou Evlampia Psatha Sofia Kitmeridou Efstratios Karavasilis Nikolaos Aggelousis Konstantinos Vadikolias Foteini Christidi |
| author_sort | Anna Tsiakiri |
| collection | DOAJ |
| description | The growing number of stroke survivors face physical, cognitive, and psychosocial impairments, making stroke a significant contributor to global disability. Various factors have been identified as key predictors of post-stroke outcomes. The aim of this study was to develop a standardized predictive model that integrates various demographic and clinical factors to better predict post-stroke cognitive recovery and depression in patients with ischemic stroke (IS). We included IS patients during both the acute phase and six months post-stroke and considered neuropsychological measures (screening scales, individual tests, functional cognitive scales), stroke severity and laterality, as well as functional disability measures. The study identified several key predictors of post-stroke cognitive recovery and depression in IS patients. Higher education and younger age were associated with better cognitive recovery. Lower stroke severity, indicated by lower National Institutes of Health Stroke Scale (NIHSS) scores, also contributed to better cognitive outcomes. Patients with lower modified Rankin Scale (mRS) scores showed improved performance on cognitive tests and lower post-stroke depression scores. The study concluded that age, education, stroke severity and functional status are the most critical predictors of cognitive recovery and post-stroke emotional status in IS patients. Tailoring rehabilitation strategies based on these predictive markers can significantly improve patient outcomes. |
| format | Article |
| id | doaj-art-a123aff21c7948ddb100bed685b96d76 |
| institution | OA Journals |
| issn | 2174-8144 2254-9625 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | European Journal of Investigation in Health, Psychology and Education |
| spelling | doaj-art-a123aff21c7948ddb100bed685b96d762025-08-20T02:00:33ZengMDPI AGEuropean Journal of Investigation in Health, Psychology and Education2174-81442254-96252024-12-0114123056307210.3390/ejihpe14120200Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal StudyAnna Tsiakiri0Spyridon Plakias1Pinelopi Vlotinou2Aikaterini Terzoudi3Aspasia Serdari4Dimitrios Tsiptsios5Georgia Karakitsiou6Evlampia Psatha7Sofia Kitmeridou8Efstratios Karavasilis9Nikolaos Aggelousis10Konstantinos Vadikolias11Foteini Christidi12Department of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Physical Education and Sport Science, University of Thessaly, 42100 Trikala, GreeceDepartment of Occupational Therapy, University of West Attica, 12243 Athens, GreeceDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Child and Adolescent, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Psychiatry, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Radiology, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceMedical Physics Laboratory, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, GreeceDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceDepartment of Neurology, Democritus University of Thrace, 68100 Alexandroupolis, GreeceThe growing number of stroke survivors face physical, cognitive, and psychosocial impairments, making stroke a significant contributor to global disability. Various factors have been identified as key predictors of post-stroke outcomes. The aim of this study was to develop a standardized predictive model that integrates various demographic and clinical factors to better predict post-stroke cognitive recovery and depression in patients with ischemic stroke (IS). We included IS patients during both the acute phase and six months post-stroke and considered neuropsychological measures (screening scales, individual tests, functional cognitive scales), stroke severity and laterality, as well as functional disability measures. The study identified several key predictors of post-stroke cognitive recovery and depression in IS patients. Higher education and younger age were associated with better cognitive recovery. Lower stroke severity, indicated by lower National Institutes of Health Stroke Scale (NIHSS) scores, also contributed to better cognitive outcomes. Patients with lower modified Rankin Scale (mRS) scores showed improved performance on cognitive tests and lower post-stroke depression scores. The study concluded that age, education, stroke severity and functional status are the most critical predictors of cognitive recovery and post-stroke emotional status in IS patients. Tailoring rehabilitation strategies based on these predictive markers can significantly improve patient outcomes.https://www.mdpi.com/2254-9625/14/12/200ischemic strokepredictive markersdemographicsstroke severityfunctional statusneuropsychological assessment |
| spellingShingle | Anna Tsiakiri Spyridon Plakias Pinelopi Vlotinou Aikaterini Terzoudi Aspasia Serdari Dimitrios Tsiptsios Georgia Karakitsiou Evlampia Psatha Sofia Kitmeridou Efstratios Karavasilis Nikolaos Aggelousis Konstantinos Vadikolias Foteini Christidi Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study European Journal of Investigation in Health, Psychology and Education ischemic stroke predictive markers demographics stroke severity functional status neuropsychological assessment |
| title | Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study |
| title_full | Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study |
| title_fullStr | Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study |
| title_full_unstemmed | Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study |
| title_short | Predictive Markers of Post-Stroke Cognitive Recovery and Depression in Ischemic Stroke Patients: A 6-Month Longitudinal Study |
| title_sort | predictive markers of post stroke cognitive recovery and depression in ischemic stroke patients a 6 month longitudinal study |
| topic | ischemic stroke predictive markers demographics stroke severity functional status neuropsychological assessment |
| url | https://www.mdpi.com/2254-9625/14/12/200 |
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