Literature DB >> 19841846

Prediction of depressive symptoms up to three years post-stroke.

Vera Schepers1, Marcel Post, Anne Visser-Meily, Ingrid van de Port, Mimouna Akhmouch, Eline Lindeman.   

Abstract

OBJECTIVE: To describe the long-term course of depressive symptoms up to 3 years post-stroke and to develop a prediction model for depressive symptoms 1 and 3 years post-stroke.
DESIGN: Longitudinal follow-up study. PATIENTS: Data were analysed for 131 patients with a first-ever supratentorial stroke admitted for inpatient rehabilitation in the Netherlands
METHODS: The Center for Epidemiologic Studies-Depression scale was used to assess post-stroke depressive symptoms at 6 months, 1 and 3 years post-stroke.
RESULTS: Post-stroke depressive symptoms were present 6 months, 1 year and 3 years post-stroke in 23.7%, 25.2% and 16.0% of the patients, respectively. At all 3 assessments post-stroke depressive symptoms were absent in 65.6% of the patients and present in 12.2% of the patients. Of the patients with post-stroke depressive symptoms 6 months post-stroke, 41.9% had recovered from post-stroke depressive symptoms 3 years post-stroke. The most important predictor of post-stroke depressive symptoms 1 and 3 years post-stroke was post-stroke depressive symptoms 6 months post-stroke (area under the curve 0.75 and 0.85). Male gender was an additional predictor for post-stroke depressive symptoms 3 years post-stroke.
CONCLUSION: Long-term post-stroke depressive symptoms are highly predictable at 6 months post-stroke. If a patient has not recovered from post-stroke depressive symptoms within the first 6 months post-stroke there is a high risk of chronic post-stroke depressive symptoms.

Entities:  

Mesh:

Year:  2009        PMID: 19841846     DOI: 10.2340/16501977-0446

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  9 in total

1.  Predictivity of Early Depressive Symptoms for Post-Stroke Depression.

Authors:  A Lewin-Richter; M Volz; M Jöbges; K Werheid
Journal:  J Nutr Health Aging       Date:  2015-08       Impact factor: 4.075

Review 2.  Post-stroke depression and the aging brain.

Authors:  Gabriel R Cojocaru; Aurel Popa-Wagner; Elena C Stanciulescu; Loredana Babadan; Ana-Maria Buga
Journal:  J Mol Psychiatry       Date:  2013-08-23

Review 3.  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

4.  Prevalence and Predictors of Depression after Stroke - Results from a Prospective Study.

Authors:  Danijela Vojtikiv-Samoilovska; Anita Arsovska
Journal:  Open Access Maced J Med Sci       Date:  2018-04-24

5.  Socio-Demographic Characteristics of the Patients with a Post Stroke Depression from the Municipality of Tetovo, Republic of Macedonia.

Authors:  Danijela Vojtikiv-Samoilovska; Anita Arsovska
Journal:  Open Access Maced J Med Sci       Date:  2018-05-14

6.  Course of Social Participation in the First 2 Years After Stroke and Its Associations With Demographic and Stroke-Related Factors.

Authors:  Daan P J Verberne; Marcel W M Post; Sebastian Köhler; Leeanne M Carey; Johanna M A Visser-Meily; Caroline M van Heugten
Journal:  Neurorehabil Neural Repair       Date:  2018-09-04       Impact factor: 3.919

7.  Depression increases stroke hospitalization cost: an analysis of 17,010 stroke patients in 2008 by race and gender.

Authors:  Baqar Husaini; Robert Levine; Linda Sharp; Van Cain; Meggan Novotny; Pamela Hull; Gail Orum; Zahid Samad; Uchechukwu Sampson; Majaz Moonis
Journal:  Stroke Res Treat       Date:  2013-03-10

8.  Cognitive ability, education and socioeconomic status in childhood and risk of post-stroke depression in later life: A systematic review and meta-analysis.

Authors:  Ellen V Backhouse; Caroline A McHutchison; Vera Cvoro; Susan D Shenkin; Joanna M Wardlaw
Journal:  PLoS One       Date:  2018-07-16       Impact factor: 3.240

9.  A risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features.

Authors:  Rui Liu; Yingying Yue; Haitang Jiang; Jian Lu; Aiqin Wu; Deqin Geng; Jun Wang; Jianxin Lu; Shenghua Li; Hua Tang; Xuesong Lu; Kezhong Zhang; Tian Liu; Yonggui Yuan; Qiao Wang
Journal:  Oncotarget       Date:  2017-04-07
  9 in total

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