Prevalence and Predictors of Depression after Stroke - Results from a Prospective Study
- PMID: 29875853
- PMCID: PMC5985895
- DOI: 10.3889/oamjms.2018.182
Prevalence and Predictors of Depression after Stroke - Results from a Prospective Study
Abstract
Background: 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.
Aim: 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?
Material and methods: 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).
Results: 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).
Conclusion: 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.
Keywords: Barthel index; HAM-d; PSD; Stroke; mRS.
Figures
References
-
- De Ryck A, Brouns R, Fransen E, et al. A prospective study on the prevalence and risk factors of poststroke depression. Cerebrovasc dis extra. 2013;3(1):1–13. https://doi.org/10.1159/000345557 PMid:23626594 PMCid:PMC3567876. - PMC - PubMed
-
- Louise M. Allan, Elise N, et al. Long-term incidence of depression and predictors of depressive symptoms in older stroke survivors. The british journal of psychiatry. 2013;203(6):453–460. https://doi.org/10.1192/bjp.bp.113.128355 PMid:24158880. - PubMed
-
- Ayerbe L, Ayis S, Rudd AG, Heuschmann PU, Wolfe CD. Natural history, predictors, and associations of depression 5 years after stroke:the South London Stroke Register. Stroke. 2011;42(7):1907–11. https://doi.org/10.1161/STROKEAHA.110.605808 PMid:21566241. - PubMed
-
- Hackett ML, Anderson CS. Predictors of depression after stroke:a systematic review of observational studies. Stroke. 2005;36(10):2296–301. https://doi.org/10.1161/01.STR.0000183622.75135.a4 PMid:16179565. - PubMed
-
- Robinson RG, Jorge RE. Post-stroke depression:a review. American Journal of Psychiatry. 2015;173(3):221–31. https://doi.org/10.1176/appi.ajp.2015.15030363 PMid:26684921. - PubMed
LinkOut - more resources
Full Text Sources
Other Literature Sources