| Autor: |
Sophie, Tasseel-Ponche, Mélanie, Barbay, Martine, Roussel, Adnane, Lamrani, Thibaud, Sader, Audrey, Arnoux-Courselle, Sandrine, Canaple, Chantal, Lamy, Claire, Leclercq, Ardalan, Aarabi, Alexis, Schnitzler, Alain Pierre, Yelnik, Olivier, Godefroy |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
European journal of neurologyREFERENCES. 29(7) |
| ISSN: |
1468-1331 |
| Popis: |
The aim of this study was to determine the contributions of background disorders responsible for participation restriction as indexed by a structured interview for the modified Rankin Scale (mRS-SI).A subset of 256 patients was assessed at 6 months after stroke using the National Institutes of Health Stroke Scale (NIHSS), gait score, comprehensive cognitive battery (yielding a global cognitive Z-score), behavioral dysexecutive disorders (DDs), anxiety and depressive symptoms, epilepsy, and headache. Following bivariate analyses, determinants of participation restriction were selected using ordinal regression analysis with partial odds.Poststroke participation restriction (mRS-SI score 1) was observed in 59% of the patients. In bivariate analyses, mRS-SI score was associated with prestroke mRS-SI score, 6-month NIHSS score, gait score, global cognitive Z-score, behavioral DDs, and presence of anxiety and depression (all: p = 0.0001; epilepsy: p =0.3; headache: p = 0.7). After logistic regression analysis, NIHSS score was associated with increasing mRS-SI score (p = 0.00001). Prestroke mRS-SI score (p = 0.00001), behavioral DDs (p = 0.0008) and global cognitive Z-score (p = 0.01) were associated with both mRS-SI score 1 and mRS-SI score 2. In addition, gait score was associated with mRS-SI score 2 (p = 0.00001). This model classified 85% of mRS-SI scores correctly (p = 0.001). Structural equation modeling showed the contributions of gait limitation (standardized coefficient [SC]: 0.68; p = 0.01), prestroke mRS-SI (SC: 0.41; p = 0.01), severity of neurological impairment (SC: 0.16; p = 0.01), global cognitive Z-score (SC: -0.14; p = 0.05), and behavioral DDs (SC: 0.13; p = 0.01).These results provide a statistical model of weights of determinants responsible for poststroke participation restriction and highlight a new independent determinant: behavioral DDs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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