@article{Vojtikiv-Samoilovska_Arsovska_2018, title={Prevalence and Predictors of Depression after Stroke - Results from a Prospective Study}, volume={6}, url={https://oamjms.eu/index.php/mjms/article/view/oamjms.2018.182}, DOI={10.3889/oamjms.2018.182}, abstractNote={<p><strong>BACKGROUND:</strong> A depression following a stroke (Post Stoke Depression-PSD) is the most common complication of a stroke that has a negative effect on the result after the stroke. A better definition of the risk factors of the disease will provide for better prediction and treatment.</p><p><strong>AIM:</strong> To research identification of the risk factors for PSD, typical for the Macedonian population, which will help in early prediction, timely diagnosis and treatment of the disease?</p><p><strong>MATERIAL AND METHODS:</strong> We carried out a prospective study in order to determine the prevalence and the risk factors of PSD in 100 patients treated at the hospital in Tetovo. The severity, localisation and the functional outcome of the stroke have been examined as potential risk factors for discharge and after 5 months. The symptoms of depression were quantified using the Hamilton Depression Rating Scale (HAM-d).</p><p><strong>RESULTS:</strong> On discharge, 81% of the patients were diagnosed with PSD, and 67% had PSD after 5 months. A statistically significant codependence of p < 0.05 was registered between PSD and the level of functional dependence for activities of daily living (ADL); PSD and the severity of the stroke; and PSD and the level of disability on both examinations. In most patients with PSD, an ischemic stroke in the right middle cerebral artery has been diagnosed; the percentage difference between the other localisations is statistically significant (p = 0.0436; p = 0.0002).</p><strong>CONCLUSION:</strong> There is an increased risk of PSD for immobile patients, those incapable of activities of daily living (ADL), with ischemic stroke in the right middle cerebral artery. A PSD screening and additional studies for better prediction are required.}, number={5}, journal={Open Access Macedonian Journal of Medical Sciences}, author={Vojtikiv-Samoilovska, Danijela and Arsovska, Anita}, year={2018}, month={Apr.}, pages={824–828} }