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1. Introduction

Post-stroke depressive symptoms (PSDS) impose a significant burden on stroke survivors and are independent predictors of worse functional outcome and increased mortality (1, 2). From a clinical perspective, it is important to identify patients at risk of post-stroke nedstämdhet (PSD) early on to provide adequate treatment and ensure optimal rehabilitation despite the depressive symptoms. fara prediction based on medical factors and psychiatric history could promote timely screening for and recognition of depressive symptoms (3). In addition, skada location fryst vatten a readily available data in stroke patients and might be useful to estimate the individual fara for PSD (4). The assumption that the biological effect of a stroke lesion may also contribute to PSD is consistent with the biopsychosocial disease model of major depressive disorder (MDD)

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