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22. European Stroke Conference 408 Behavioral disorders and post-stroke dementia Clinical factors associated with post-stroke cognitive impairment A. JACQUIN1, Y. BEJOT2, O. ROUAUD3, A. GRAULE-PETOT4, B. DAUBAIL5, G.V. OSSE-BY6, C. BINQUET7, M. GIROUD8 University Hospital, Memory Centre, Department of Neurology & University of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE1, University Hospital, Memory Centre, Department of Neurology & University of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE2, University Hospital, Memory Centre, Department of Neurology & University of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE3, University Hospital, Memory Centre, Department of Neurology & Uni-versity of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE4, University Hospital, Memory Centre, Department of Neurology & University of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE5, University Hospital, Memory Centre, Department of Neurology & University of Bur-gundy, Stroke Registry EA 4184., DIJON, FRANCE6, University Hospital, Clinical investigation center – clinical epidemiology / clinical trials - INSERM, CIE 01,, DIJON, FRANCE7, University Hospital, Memory Centre, Department of Neurology & University of Burgundy, Stroke Registry EA 4184., DIJON, FRANCE8 Background: Because of the ageing population and a rise in the number of stroke survivors, the prevalence of post-stroke cognitive impairment (PSCI) is increasing. Our aim was to identify the factors associated with 3-month PSCI. Methods: All consecutive stroke patients free of pre-stroke dementia or mild cognitive disorder, without severe aphasia, hospitalized in the department of Neu-rology of Dijon, France (November 2010 – February 2012), were included in this prospective co-hort study. Demographics, vascular risk factors and both clinical and imaging data were collected. A first cognitive evaluation was performed during the hospitalization using the MMSE and MOCA tests. Patients assessable at 3 months were categorized as cognitively impaired at that time if the MMSE score was ≤26/30 and MOCA<26/30 or if abnormal neuropsychological battery confirmed PSCI when the MMSE and MOCA were discordant. Multivariable logistic models were used to de-termine factors associated with 3-month-PSCI. Results Among the 280 patients included, 220 were assessable at 3 months. The overall frequency of 3-month PSCI was 45.5%, whereas that of demen-tia was 7.7%. In multivariable analyses, 3-month PSCI was associated with age (OR=1.06; 95% CI: 1.03-1.09; p<0.0001), low education level (secondary versus primary school: OR=0.23; 95% CI: 0.11-0.49; p=0.0001; high versus primary school: OR=0.15; 95% CI: 0.05-0.43; p=0.001), silent in-farcts (OR=3.59; 95% CI=1.49-8.62; p=0.010) and functional handicap at discharge (OR=5.11; 95% CI: 2.12-12.32; p=0.002). MMSE and MOCA performed during the hospitalization were associat-ed with 3-month PSCI (OR=0.68; 95% CI: 0.60-0.78; p<0.0001 and OR=0.73; 95% CI: 0.66-0.82; p<0.0001, respectively). Conclusion Our study underlines the high frequency of PSCI, and ist association with several fac-tors. The early cognitive diagnosis of stroke patients could be useful by helping physicians to identi-fy those at high risk of developing PSCI. 502 © 2013 S. Karger AG, Basel Scientific Programme 409 Behavioral disorders and post-stroke dementia PROFILE OF ANGER IN ACUTE STROKE. A MULTIFACTORIAL MODEL OF ANGER DETERMINANTS. A.C. Santos1, J.M. Ferro2 Department of Neurosciences, Hospital de Santa Maria, Lisboa, PORTUGAL1, Department of Neurosciences, Hospital de Santa Maria, Lisboa, PORTUGAL2 Background: Anger is a common psychiatric change after stroke that could have a negative impact on treatment, rehabilitation, adaptation and in relational triad, patients - family - health profession-als. In the literature there is a relative inconsistency in terms of its clinical and imaging correlates, as well as its conceptualization. The aim of the present study is to describe the presence and profile of anger in acute stroke patients and formulate a multifactorial model, including its demographic, clin-ical, lesion related, psychological and social-adaptative determinants. We also want to compare the presence of self-reported anger with anger that was perceived by an informal caregiver. Methods: We screened anger prospectively in consecutive acute stroke patients (≤7 days) and through their informal caregivers, using the State-Trait Anger Expression Inventory-2 (STAXI-2). Anxiety and depressive symptoms were assessed with Hospital Anxiety Depression Scale (HADS). We included patients with mild aphasia (NIHSS<2, “Best Language”). Results: We studied a sample of 115 patients (mean age of 62 years; median of 4 years of educa-tion), 98 had a cerebral infarct and 17 had an intracerebral haemorrhage. State-anger was detected in 23 (20%) patients, 30% of which were feeling angry, 14% expressing anger verbally and 10% ex-pressing anger physically. Trait-anger was detected in 26 (24%) patients that frequently experience angry feelings. Relatively to the expression of anger, 33% of the patients tend to suppress their an-gry feelings and 53% expend high levels of energy in monitoring and preventing anger expression. State-anger was associated with younger age (p=.03), higher anxiety (p=.05) and higher values in trait-anger dimension (p=.03) Conclusion: Anger was frequent in acute stroke patients. Stroke as a suddenly non-normative event that stresses the patient, seems to have a more negative impact in younger patients and in those with premorbid personality trait of anger.


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