Literature DB >> 25451004

Poststroke depression and its multifactorial nature: results from a prospective longitudinal study.

A De Ryck1, E Fransen2, R Brouns3, M Geurden4, D Peij5, P Mariën6, P P De Deyn7, S Engelborghs8.   

Abstract

OBJECTIVE: Poststroke depression (PSD) is commonly observed in stroke patients and has a negative impact on functional outcome and quality of life. Therefore, a prospective, longitudinal epidemiological study was conducted aiming to determine prevalence and risk factors for PSD at 1, 3, 6, 12 and 18 months poststroke.
METHODS: A total of 222 patients were included in the study and 201 patients entered data analysis. Demographic data, vascular risk factors, stroke characteristics, functional and neurocognitive outcome measures and psychosocial factors were considered as potential risk factors for PSD. Clinically significant signs and symptoms of PSD were quantified by means of the Cornell Scale for Depression (CSD) and the Montgomery and Åsberg Depression Rating Scale (MADRS).
RESULTS: PSD was present at 1, 3, 6, 12 and 18 months poststroke in 24.5%, 27.1%, 28.3%, 19.8% and 26.3% of the patients respectively. Univariate regression analyses revealed that PSD was significantly associated with stroke severity, physical disability, cognitive impairment and stroke outcome during the 18 months time frame of the study. Reduced social activities and the presence of apraxia were consistently associated with PSD whereas aphasia was only significantly associated in the first 6 months after stroke. Patients with relational problems had a 3 times greater risk of becoming depressed at 18 months poststroke than patients without relational problems (OR=3.09; 95% CI=1.31-7.26).
CONCLUSIONS: Risk factors for PSD seem variable indicating the need for clinicians to consider the dynamic and multifactorial nature of PSD emphasizing the importance of a rigorous and long-term monitoring and support of stroke patients and their caregivers.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Depression; Multifactorial; Poststroke depression; Prevalence; Risk factors; Stroke

Mesh:

Year:  2014        PMID: 25451004     DOI: 10.1016/j.jns.2014.09.038

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  18 in total

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Authors:  Dirk K Wolter
Journal:  Z Gerontol Geriatr       Date:  2016-02-11       Impact factor: 1.281

Review 2.  The enigma of vascular depression in old age: a critical update.

Authors:  Kurt A Jellinger
Journal:  J Neural Transm (Vienna)       Date:  2022-06-15       Impact factor: 3.850

3.  Management of Psychiatric Disorders in Patients with Stroke and Traumatic Brain Injury.

Authors:  Gautam Saha; Kaustav Chakraborty; Amrit Pattojoshi
Journal:  Indian J Psychiatry       Date:  2022-03-23       Impact factor: 2.983

Review 4.  A Narrative Review on the Non-Pharmacologic Interventions in Post-Stroke Depression.

Authors:  Tissa Wijeratne; Carmela Sales; Chanith Wijeratne
Journal:  Psychol Res Behav Manag       Date:  2022-07-07

5.  Music Upper Limb Therapy-Integrated Provides a Feasible Enriched Environment and Reduces Post-stroke Depression: A Pilot Randomized Controlled Trial.

Authors:  Anna Palumbo; Viswanath Aluru; Jessica Battaglia; Daniel Geller; Alan Turry; Marc Ross; Adrian Cristian; Caitlin Balagula; Gbenga Ogedegbe; Latika Khatri; Moses V Chao; Robert C Froemke; Jacek K Urbanek; Preeti Raghavan
Journal:  Am J Phys Med Rehabil       Date:  2021-12-06       Impact factor: 3.412

Review 6.  Post-Stroke Depression: Impact of Lesion Location and Methodological Limitations-A Topical Review.

Authors:  Alina Nickel; Götz Thomalla
Journal:  Front Neurol       Date:  2017-09-21       Impact factor: 4.003

7.  Remote Ischemic Conditioning: A Novel Non-Invasive Approach to Prevent Post-Stroke Depression.

Authors:  Wenbo Zhao; Fang Jiang; Zhen Zhang; Jing Zhang; Yuchuan Ding; Xunming Ji
Journal:  Front Aging Neurosci       Date:  2017-08-08       Impact factor: 5.750

Review 8.  Risk Factors for Post-stroke Depression: A Meta-analysis.

Authors:  Yu Shi; Dongdong Yang; Yanyan Zeng; Wen Wu
Journal:  Front Aging Neurosci       Date:  2017-07-11       Impact factor: 5.750

9.  Nonpsychotic Mental Disorders in Teenage Males and Risk of Early Stroke: A Population-Based Study.

Authors:  Maria A I Åberg; Kjell Torén; Michael Nilsson; Malin Henriksson; H Georg Kuhn; Jenny Nyberg; Annika Rosengren; N David Åberg; Margda Waern
Journal:  Stroke       Date:  2016-02-04       Impact factor: 7.914

10.  Predictors of Depressive Mood in Patients With Isolated Cerebellar Stroke: A Retrospective Study.

Authors:  Dong Jin Koh; Na Young Kim; Yong Wook Kim
Journal:  Ann Rehabil Med       Date:  2016-06-29
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