Therapy of post-stroke depression – a systematic review

2013 ◽  
Vol 10 (02) ◽  
pp. 108-129 ◽  
Author(s):  
W. Gaebel ◽  
W. Wannagat ◽  
J. Zielasek
Keyword(s):  
Systematic Review ◽  
Large Scale ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Placebo Control ◽  
Post Stroke ◽  
Pharmacological Studies ◽  
Post Stroke Depression ◽  
Control Procedures ◽  
Antidepressant Pharmacotherapy

SummaryWe performed a systematic review of randomized placebo-controlled pharmacological and non-pharmacological trials for the therapy and prevention of post-stroke depression that have been published between 1980 and 2011. We initially identified 2 260 records of which 28 studies were finally included into this review. A meta-analytic approach was hampered by considerable differences regarding the kinds of therapeutic regimens and the study durations. Modest effects favoring treatment of post-stroke depression could be found for pharmacological treatment as well as repetitive transcranial magnetic stimulation. For the prevention of post-stroke depression, antidepressant pharmacotherapy showed promising results. However, large-scale studies with better standardized study populations, optimized placebo control procedures in non-pharmacological studies, and replication in larger follow-up studies are still necessary to find the optimal therapeutic regimens to prevent and treat post-stroke depression.

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

2020 ◽  
Vol 17 (3) ◽  
pp. 218-223
Author(s):  
Haichao Wang ◽  
Li Gong ◽  
Xiaomei Xia ◽  
Qiong Dong ◽  
Aiping Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Cell ◽  
Cox Regression ◽  
Depression And Anxiety ◽  
Cox Regression Analysis ◽  
Post Stroke ◽  
Rbc Indices ◽  
Post Stroke Depression

Background: Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated. Methods: We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis. Results: Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA. Conclusion: The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

scholarly journals Acupuncture for post-stroke depression: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Ran Liu ◽  
Kun Zhang ◽  
Guangwei Cui ◽  
Qiuyu Tong ◽  
Wen Ma ◽  
...  
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Post Stroke ◽  
Post Stroke Depression

scholarly journals Prevalence of pre-stroke depression and its association with post-stroke depression: a systematic review and meta-analysis

2018 ◽  
Vol 49 (4) ◽  
pp. 685-696 ◽  
Author(s):  
Martin Taylor-Rowan ◽  
Oyiza Momoh ◽  
Luis Ayerbe ◽  
Jonathan J. Evans ◽  
David J. Stott ◽  
...  
Keyword(s):  
Systematic Review ◽  
Publication Bias ◽  
Meta Analysis ◽  
Assessment Method ◽  
Self Report ◽  
Funnel Plot ◽  
Strength Of Evidence ◽  
Post Stroke ◽  
Depression Assessment ◽  
Post Stroke Depression

AbstractBackgroundDepression is a common post-stroke complication. Pre-stroke depression may be an important contributor, however the epidemiology of pre-stroke depression is poorly understood. Using systematic review and meta-analysis, we described the prevalence of pre-stroke depression and its association with post-stroke depression.MethodsWe searched multiple cross-disciplinary databases from inception to July 2017 and extracted data on the prevalence of pre-stroke depression and its association with post-stroke depression. We assessed the risk of bias (RoB) using validated tools. We described summary estimates of prevalence and summary odds ratio (OR) for association with post-stroke depression, using random-effects models. We performed subgroup analysis describing the effect of depression assessment method. We used a funnel plot to describe potential publication bias. The strength of evidence presented in this review was summarised via ‘GRADE’.ResultsOf 11 884 studies identified, 29 were included (total participantsn= 164 993). Pre-stroke depression pooled prevalence was 11.6% [95% confidence interval (CI) 9.2–14.7]; range: 0.4–24% (I295.8). Prevalence of pre-stroke depression varied by assessment method (p= 0.02) with clinical interview suggesting greater pre-stroke depression prevalence (~17%) than case-note review (9%) or self-report (11%). Pre-stroke depression was associated with increased odds of post-stroke depression; summary OR 3.0 (95% CI 2.3–4.0). All studies were judged to be at RoB: 59% of included studies had an uncertain RoB in stroke assessment; 83% had high or uncertain RoB for pre-stroke depression assessment. Funnel plot indicated no risk of publication bias. The strength of evidence based on GRADE was ‘very low’.ConclusionsOne in six stroke patients have had pre-stroke depression. Reported rates may be routinely underestimated due to limitations around assessment. Pre-stroke depression significantly increases odds of post-stroke depression.Protocol identifierPROSPERO identifier: CRD42017065544

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