Skip main navigation

Poststroke Depression: A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association

and on behalf of the American Heart Association Stroke Council; Council on Cardiovascular and Stroke Nursing; and Council on Quality of Care and Outcomes Research
Originally publishedhttps://doi.org/10.1161/STR.0000000000000113Stroke. 2017;48:e30–e43

Abstract

Poststroke depression (PSD) is common, affecting approximately one third of stroke survivors at any one time after stroke. Individuals with PSD are at a higher risk for suboptimal recovery, recurrent vascular events, poor quality of life, and mortality. Although PSD is prevalent, uncertainty remains regarding predisposing risk factors and optimal strategies for prevention and treatment. This is the first scientific statement from the American Heart Association on the topic of PSD. Members of the writing group were appointed by the American Heart Association Stroke Council’s Scientific Statements Oversight Committee and the American Heart Association’s Manuscript Oversight Committee. Members were assigned topics relevant to their areas of expertise and reviewed appropriate literature, references to published clinical and epidemiology studies, clinical and public health guidelines, authoritative statements, and expert opinion. This multispecialty statement provides a comprehensive review of the current evidence and gaps in current knowledge of the epidemiology, pathophysiology, outcomes, management, and prevention of PSD, and provides implications for clinical practice.

Introduction

Depression occurs in approximately one third of stroke survivors at any one time1 and is associated with poor functional outcomes2 and higher mortality.3 Although poststroke depression (PSD) is one of the most common complications after stroke, few guidelines exist regarding assessment, treatment, and prevention of PSD. This scientific statement summarizes published evidence on the causes, predisposing factors, epidemiology, screening, treatment, and prevention of PSD; illuminates gaps in the literature; and provides management implications for clinical practice.

Methods

Writing group members were nominated by the committee chair on the basis of their previous work in relevant topic areas and were approved by the American Heart Association Stroke Council’s Scientific Statement Oversight Committee and the American Heart Association’s Manuscript Oversight Committee. Multiple disciplines were represented, including neurology, psychiatry, psychology, neurorehabilitation, primary care, epidemiology, biostatistics, and nursing. The writing group met by telephone to determine subcategories to evaluate. These included 9 sections that covered the following: incidence, prevalence, and natural history; pathophysiology; predictors; functional outcomes; quality of life (QOL); healthcare use; mortality; screening; and management and prevention. Each subcategory was led by a primary author, with 1 to 3 additional coauthors. Full searches of PubMed, Ovid MEDLINE, Ovid Cochrane Database of Systematic Reviews, Ovid Central Register of Controlled Trials databases, Internet Stroke Center/Clinical Trials Registry (http://www.strokecenter.org/trials/), and National Guideline Clearinghouse (http://guideline.gov/) were conducted of all English-language articles on human subjects, published through February of 2015. The evidence was organized within the context of the American Heart Association Framework. Drafts of summaries and suggestions/considerations for clinical practice were circulated to the entire writing group for feedback. Sections were revised and merged by the Chair. The resulting draft was reviewed and edited by the Vice-Chair, and the entire committee was asked to approve the final draft. Changes to the document were made by the Chair and Vice-Chair in response to peer review, and the document was again sent to the entire writing group for suggested changes and approval. A summary of findings is available in the Table.

Table. Summary of Findings

TopicSummary of Findings
EpidemiologyApproximately one third of stroke survivors develop PSD at some point after stroke. The frequency is highest in the first year, at nearly 1 in 3 stroke survivors, and declines thereafter.
PathophysiologyThe pathophysiology of PSD is complex and likely involves a combination of biological and psychosocial factors. Further research is needed to develop a better understanding of PSD pathophysiology with an aim to develop targeted interventions for prevention and treatment.
PredictorsA multitude of studies have evaluated predictors of PSD, but because of differences in inclusion and exclusion criteria, statistical methods, and inadequate sample sizes for multivariate analyses, generalizability is limited. The most consistent predictors of PSD have been physical disability, stroke severity, history of depression, and cognitive impairment. Further studies are needed to develop a better understanding of predictors of PSD.
PSD and functional outcomesPSD is associated with poorer functional outcomes after stroke. Treatment with fluoxetine was associated with lower PSD occurrence rates and improvement in motor recovery in 1 RCT. Further research is needed to assess the effect of PSD on outcomes and to develop optimal strategies to counteract these effects.
PSD and QOLA few studies suggest that PSD adversely affects QOL. Further research is needed to further elucidate the independent effect of PSD on QOL and to determine how to improve QOL in individuals with or at risk for PSD.
PSD and healthcare useA few studies have shown an association between PSD and healthcare use. Further studies are needed to evaluate the effect of treatment of PSD on subsequent healthcare use.
PSD and mortalityPSD is associated with higher mortality after stroke.
ScreeningTwenty-four studies (n=2907 participants) showed that the CES-D, HDRS, and PHQ-9 had high sensitivity for detecting PSD; however, the studies had several limitations, including generalizability. Systematic screening for PSD with the 9-item PHQ-9 is pragmatic, has high sensitivity for detecting PSD, and may improve outcomes, provided that processes are in place to assure accurate diagnosis, timely and effective treatment, and follow-up. Further research is needed to determine whether screening for PSD—in conjunction with collaborative care to ensure timely intervention, treatment, and follow-up—improves outcomes in diverse populations of stroke survivors.
Management: pharmacotherapyTwelve trials (n=1121) suggest that antidepressant medications may be effective in treating PSD; further research is needed to determine optimal timing, threshold, and medications for treatment.
Management: neuromodulationFurther studies are needed to determine the efficacy of neuromodulation on treating PSD.
Management: psychosocial interventionsSeven trials (n=775) suggest that brief psychosocial interventions may be useful and effective in treatment of PSD. Whether antidepressant medication is a necessary or beneficial adjuvant cannot be established from these trials because of a lack of placebo controls.
Management: stroke liaison workersFifteen trials (n=2743) have not revealed a beneficial effect from stroke liaison workers on PSD; however, the trials included individuals without a diagnosis of PSD. Further studies are needed to determine the effect of liaison worker on those with established PSD.
Management: information provisionSeven trials (n=720) suggest that information provision provides a small benefit in depression scores; however, the clinical significance of this improvement is unclear.
Management: self-managementFew studies have assessed the effectiveness of self-management strategies on PSD; further studies are needed to determine whether these strategies are beneficial.
Prevention: pharmacotherapyEight trials (n=776) suggest that pharmacological treatment may be effective in preventing PSD; however, further studies are needed in more representative samples of stroke survivors, and additional study is required to determine the optimal timing and duration of treatment.
Prevention: psychosocial interventionsFive trials (n= 1078) suggest that psychosocial therapies may prevent the development of PSD; however, the studies are not generalizable to all stroke survivors, given their narrow inclusion and exclusion criteria. Further research with more rigorous methods is needed to assess the effect of psychotherapy on prevention of PSD.

CES-D indicates Center of Epidemiological Studies-Depression Scale; HDRS, Hamilton Depression Rating Scale; PHQ, Patient Health Questionnaire; PSD, poststroke depression; QOL, quality of life; and RCT, randomized controlled trial.

Incidence, Prevalence, and Natural History of PSD

Depression is common after stroke, affecting approximately one third of stroke survivors at any one time after stroke (compared with 5%–13% of adults without stroke), with a cumulative incidence of 55%.46 Hackett et al performed a systematic review and meta-analysis of 51 studies conducted before June 2004 and revealed a pooled frequency estimate of PSD of 33% (95% confidence interval [CI], 29%–36%).7 All studies included ischemic stroke, most included intracerebral hemorrhage, and the majority excluded subarachnoid hemorrhage and transient ischemic attack. Valid methods were used to ascertain depression in these studies. The primary end point was the proportion of patients who met the diagnostic category of depression, which included the following: (1) depressive disorder, depressive symptoms, or psychological distress, as defined by scores above a cut point for abnormality on a standard scale; (2) major depression, or minor depression (or dysthymia) according to the third, fourth, and fifth editions of the Diagnostic and Statistical Manual of Mental Disorders, or other standard diagnostic criteria using structured or semistructured psychiatric interviews. Ayerbe et al’s subsequent systematic review and meta-analysis of 43 cohorts published before August 2011 (n=20 293) revealed a similar pooled frequency of PSD of 29% (95% CI, 25%–32%).8 The frequency remained fairly constant for the first year after stroke and diminished slightly thereafter (28%; 95% CI, 23%–34% within 1 month of stroke; 31%; 95% CI, 24%–39% at 1–6 months; 33%; 95% CI, 23%–43% at 6 months to 1 year; and 25%; 95% CI, 19%–32% beyond 1 year). Only 5 studies in Ayerbe et al’s systematic review reported other measures of natural history of PSD: incidence in year 1 ranged from 10% to 15% (2 studies); cumulative incidence ranged from 39% to 52% (3 studies with follow-up periods between 1 and 5 years); and 15% to 50% of patients with PSD within 3 months of stroke recovered 1 year later. All longitudinal studies revealed a dynamic natural history, with new cases and recovery of depression occurring over time.8 Little is known about whether the natural course of PSD differs in those with a history of depression before stroke.

Hackett et al updated their systematic review and meta-analysis in 20141 to include all published observational studies with prospective consecutive recruitment of stroke patients and assessment of depression or depressive symptoms at prespecified time points (until May of 2013; 61 studies; n=25 488; 29 cohorts were also in Ayerbe et al’s review). Their study revealed similar results, with depression present in 33% (95% CI, 26%–39%) at 1 year after stroke, with a decline beyond 1 year: 25% (95% CI, 16%–33%) up to 5 years, and 23% (95% CI, 14%–31%) at 5 years.1 Prevalence of PSD was lower beyond 1 year: Subgroup analyses revealed a pooled prevalence estimate of 31% (95% CI, 27%–35%) for the 48 studies (n=23 654) including individuals with a history of depression; 34% (95% CI, 29%–39%) for the 25 studies (n=19 218) including individuals with aphasia; and 33% (95% CI, 28%–38%) for the 25 studies (n=5658) of people with first-ever stroke.1

In Hackett’s and Ayerbe’s meta-analyses, the prevalence rates did not differ significantly over time during the first year after stroke (within 1 month from stroke, 1–6 months, or 6–12 months) or by setting (hospital, rehabilitation, or population based). The studies included in Hackett’s and Ayerbe’s reviews were heterogeneous in nature, using a variety of methods to diagnose depression and different thresholds for the same scale. The hospital- and rehabilitation-based studies had numerous exclusion criteria (such as excluding those with a history of depression), thus limiting their generalizability. Statistical quality and presentation of methods and results were poor in many studies, and important covariates (such as history of depression) were not included in multivariable models in most studies. Few of the multivariable models were likely to be stable as the ratio of events per variable in the model met or surpassed the recommended minimum.

In summary, approximately one third develop PSD at some point after stroke. The frequency is highest in the first year, at nearly 1 in 3 stroke survivors, and declines thereafter.

Pathophysiology of PSD

The pathophysiology of PSD is poorly understood. The cause of PSD is likely multifactorial—with biological and psychosocial components—and may vary depending on timing after event. An understanding of the pathophysiology of PSD may aid in its management; for example, PSD resulting from biological causes could potentially respond better to pharmacological therapy, whereas PSD resulting from psychosocial causes could possibly respond more favorably to psychotherapy and social support interventions.

Studies have revealed an association between PSD and poststroke cognitive and functional deficits, indirectly suggesting that PSD may be a psychological reaction to these deficits.9,10 In addition, numerous psychosocial risk factors for PSD are also risk factors for depression without stroke, such as past psychiatric history, premorbid neurotic personality traits, and social isolation.11,12

In contrast, evidence suggests that PSD has underlying biological causes and is not merely a psychological response to new disability or a life-threatening event. First, 1 study showed that depression was more common after stroke than other physical illnesses with similar levels of physical disability13; however, other studies have not corroborated these findings.14,15 Second, PSD has been observed in individuals with anosognosia.16 Third, late-onset depression has been associated with white matter disease and small silent infarcts.12,17,18 Fourth, poststroke depressive-like symptoms have been noted in several animal models.19,20 Last, depression has been reported after transient ischemic attack and minor stroke (National Institutes of Health Stroke Scale score ≤5 at discharge).21,22

Proposed biological factors contributing to PSD include lesion location, genetic susceptibility, inflammation, neurogenesis in response to ischemia, alterations in neurotrophic factors, disruption of cortico-striato-pallido-thalamic-cortical projections, and alterations in serotonergic, noradrenergic, and dopaminergic pathways, leading to changes in amine levels.19 The hypothesis that lesion location was associated with PSD gained popularity in the 1970s when Robinson et al reported associations between laterality of experimentally induced stroke, brain catecholamine concentrations, and activity in rats and subsequently between left hemispheric (particularly frontal) strokes and PSD in humans.23,24 Numerous cohort studies subsequently investigated the association between lesion location and PSD; a meta-analysis of 35 cohorts published before August of 199925 and a subsequent systematic review and meta-analysis of 43 cohorts published before January of 2014 (n=5507)26 found no association between PSD and lesion location. Subgroup analyses stratified by time since stroke onset to assessment for PSD showed that between 1 and 6 months after stroke, right hemispheric strokes were associated with lower odds of PSD (odds ratio [OR]=0.79; 95% CI, 0.66–0.93).26 In contrast, a meta-analysis of 52 studies published before July 2003 (n=3668) found a weak relationship between PSD and right hemispheric lesions (overall weighted mean effect size=−0.0801; 95% CI, −0.146;−0.014; P=0.014). The authors of this meta-analysis appropriately indicated that the effect size was small and may not have practical significance. When they only included high-quality studies, there was no relationship between PSD and lesion location.27 The various systematic reviews used slightly different selection criteria for the included studies and distinct statistical methods for the meta-analysis. All 3 systematic reviews identified limitations to the analyses because of multiple sources of heterogeneity such as varying time intervals between stroke and depression assessment, different depression scales, exclusion of patients with aphasia, and heterogeneous methods of reporting results. Studies assessing genetic associations with PSD have been limited and small. Higher serotonin transporter gene (SLC6A4) promoter methylation status in the presence of the SLC6A4 linked promoter region (5-HTTLPR) s/s genotype was associated with PSD at 2 weeks and 1 year after stroke, as well as worsening of depressive symptoms over the first year after stroke (n=286 stroke subjects).28 In that same cohort, a higher brain-derived neurotrophic factor methylation status and the brain-derived neurotrophic factor val66met polymorphism were independently associated with prevalent PSD (n=286 stroke subjects).29 Alleles associated with reduced anti-inflammatory cytokine function such as the interleukin-4 + 33C/C and the interleukin-10 -1082A/A genotypes have also been associated with PSD (n=276 stroke subjects).30 Proinflammatory cytokines may play a role in PSD by inducing alterations of the hypothalamus-pituitary-adrenal axis and decreasing serotonin synthesis.31 Studies have alluded to a direct involvement of the serotonergic system, regardless of the degree of disability and lesion location.32,33

A meta-analysis of the most studied biological markers of PSD (cerebral blood flow, cortisol levels, inflammatory marker levels, brain-derived neurotrophic factor levels, and brain volume/atrophy) including studies through June of 2012 (33 studies; n=1893 participants) showed associations between PSD and high postdexamethasone cortisol levels (OR, 3.28; 95% CI, 1.28–8.39), lower serum brain-derived neurotrophic factor levels (standardized mean difference, −0.52; 95% CI, −0.84 to −0.21), smaller amygdala volumes (standardized mean difference, −0.45; 95% CI, −0.89 to −0.02), and overall brain perfusion reduction (standardized mean difference, −0.35; 95% CI, −0.64 to −0.06). There were no significant associations between PSD and inflammatory markers such as C-reactive protein, interleukin-6, interleukin-18, or tumor necrosis factor-alpha (7 studies; inflammation assessed within a mean of 35 days after stroke); however, the studies included individuals with transient ischemic attack and silent stroke and apathy (without diagnosis of depression), potentially obscuring the results. Despite the aforementioned weaknesses and additional limitations (relatively small number of studies, different scales to assess depression), this meta-analysis suggested that cerebral perfusion reduction, higher cortisol levels and low levels of neurotrophic factors, and amygdala volume reduction may be promising biological markers for PSD.34

In summary, the pathophysiology of PSD is complex and likely involves a combination of biological and psychosocial factors. Further research is needed to develop a better understanding of PSD pathophysiology with an aim to develop targeted interventions for prevention and treatment.

Predictors of PSD

Three independent systematic reviews of observational studies without corresponding meta-analyses (Hackett et al: 20 cohorts, n=17 93435; Kutlubaev et al: 23 cohorts, n=18 3742,35; De Ryck et al: 24 cohorts, n=14 64236; Ayerbe et al: 10 cohorts, n=16 0458) have identified consistent predictors of depression after stroke. There were few overlapping cohorts in the reviews reflecting the different inclusion and exclusion criteria set by the review authors. The data indicated that physical disability, stroke severity, depression before stroke, and cognitive impairment consistently had a positive association with the development of PSD. Other factors that have been identified as predictors include a lack of family and social support after stroke36 and anxiety after stroke.8 Older age, female sex, diabetes mellitus, stroke subtype, education level, living alone, and previous stroke have not shown a consistent association with the subsequent development of depression.2 People with transient ischemic attacks and those with obvious speech disturbances or communication difficulties (eg, aphasia, confusion, or dementia), impaired consciousness, severe cognitive decline or subarachnoid hemorrhage were excluded from most studies limiting our ability to generalize these findings. The statistical methods in most of the studies included in these systematic reviews were poor, and most of the samples were too small for multivariate analyses.

In summary, a multitude of studies have evaluated predictors of PSD, but because of differences in inclusion and exclusion criteria, statistical methods, and inadequate sample sizes for multivariate analyses, generalizability is limited. The most consistent predictors of PSD have been physical disability, stroke severity, history of depression, and cognitive impairment. Further studies are needed to develop a better understanding of predictors of PSD.

Association Between PSD and Functional Outcomes

PSD might conceivably influence functional outcome by limiting participation in rehabilitation, directly decreasing physical, social, and cognitive function, or perhaps affecting the biological process of neuroplasticity.37,38 A systematic review of 14 studies before May of 2013 with 4498 participants assessing the association between PSD and stroke outcome (4 population-based studies [n=2800], 5 hospital-based [n=800], and 5 rehabilitation-based [n=898]) revealed that PSD had a consistent adverse effect on outcomes. In 6 of 8 studies, depression was associated with poor functional outcomes (3 of 5 with multivariable analyses); the other 2 studies found no association between PSD and functional improvement.2 A lifetime history of depression and active depression affected functional outcome at 3 and 12 months in 1 cohort study.39

A randomized controlled trial (RCT) comparing fluoxetine to placebo within 5 to 10 days after stroke showed lower PSD occurrence rates and significant improvement in motor function in the fluoxetine group.40 Even after statistically controlling for the reduction in depression, motor improvement was improved in the fluoxetine group. This finding raises the question of whether depression prevents motor recovery (and this negative effect is reversed by treatment), or whether there may be some effect of fluoxetine or selective serotonin reuptake inhibitors (SSRIs) in general on neuroplasticity and motor recovery. Indeed, other studies have shown that SSRI use after stroke generally improves motor recovery.4145 The factors influencing whether PSD worsens outcome, and methods to counteract these effects, require further exploration.

In summary, PSD is associated with poorer functional outcomes after stroke. Treatment with fluoxetine was associated with lower PSD occurrence rates and improvement in motor recovery in 1 RCT. Further research is needed to assess the effect of PSD on outcomes and to develop optimal strategies to counteract these effects.

Association Between PSD and QOL

To date, the association between PSD and poststroke QOL has not been explored in a systematic review or meta-analysis. Individual studies have found that poststroke depressive symptoms are associated with reduced poststroke QOL as measured by the Short-Form General Health Survey,46,47 EuroQoL questionnaire48 and Assessment of Quality of Life.49 Poststroke mood change is 1 of the factors with the greatest effect on poststroke QOL.47,50 Stroke survivors’ cognitive and language impairments may necessitate proxy responses for self-reported outcomes. Proxies tend to report worse QOL scores than do stroke survivors themselves.51 These differences make it necessary to carefully examine the composition of outcomes, cohorts, and use of proxies to look for potential biases in studies exploring the association of PSD and QOL.

In summary, a few studies suggest that PSD adversely affects QOL. Further research is needed to elucidate the independent effect of PSD on QOL and to determine how to improve QOL in individuals with or at risk for PSD.

Effect of PSD on Healthcare Use

To date, no systematic review has assessed the association between PSD and healthcare use; however, individual studies have shown that PSD is associated with higher rates of healthcare use after stroke, including inpatient healthcare use and total healthcare use. In 2 large Veterans Health Administration cohorts in the United States, those with PSD had longer lengths of stay52 and higher outpatient and inpatient use in the 12 months after stroke.52,53 In addition to PSD, other mental health diagnoses after stroke have also been associated with increased healthcare use.53,54

Although the relationship between PSD and subsequent healthcare use is established, few studies, and none specifically in stroke patients, have assessed whether treatment of depression is associated with a decrease in healthcare use. Addressing this question is complex, given that healthcare use and depression treatment are understandably confounded. One study among patients aged 65 years and older with prior thromboembolic events (including some with stroke) found that antidepressant use was not associated with an increase or decrease in healthcare use,55 but no large, high-quality studies of the relationship between depression treatment and subsequent healthcare use in patients with PSD have been published.

In summary, a few studies have shown an association between PSD and healthcare use. Further studies are needed to evaluate the effect of treatment of PSD on subsequent healthcare use.

Association Between PSD and Mortality

PSD has been associated with higher mortality rates after stroke. A systematic review and meta-analysis of studies published before November of 2012 (13 studies; 59 598 individuals with stroke: 6052 with PSD and 53 546 from comparison groups) revealed a pooled OR of 1.22 (95% CI, 1.02–1.47) and pooled hazard ratio (HR) of 1.52 (95% CI, 1.02–2.26) for increased/early mortality at follow-up for individuals with PSD.3 Ayerbe et al’s 2013 meta-analysis found an association between PSD and mortality in 2 out of 3 studies that investigated this association.8 A subsequent study of stroke survivors followed in the South London Stroke Register revealed that individuals with PSD had a greater risk of mortality (HR, 1.41; 95% CI, 1.13–1.77).56 The association between PSD and mortality was strongest in individuals <65 years of age. Adjustment for comorbidities, smoking, alcohol use, SSRI use, social support, and adherence with medications did not change these associations. Individuals who started SSRIs after stroke had higher risk of mortality, independently of PSD at 3 months (HR, 1.72; 95% CI, 1.34–2.20).57 This study should be interpreted with caution because numerous models were used to describe the association between depression and mortality, and the only common factors between these models were age, sex, ethnicity, and stroke severity. The relationship between SSRIs and mortality requires a rigorous analysis of the interactions with other key variables such as depression, disability, and comorbid medical conditions.

In summary, PSD is associated with higher mortality after stroke.

Screening for PSD

Stroke patients present unique challenges to identifying depression. Stroke-related neurological symptoms such as aprosodic speech, abulia, or flat affect may hinder healthcare practitioners’ identification of PSD,75 whereas aphasia may lead to undiagnosed and inadequate treatment of depression. A high index of suspicion by all members of the interdisciplinary treatment team is therefore necessary to accurately recognize depression. Clues of PSD can be subtle, such as refusal to participate in therapy. Patients can experience emotional lability or a pseudobulbar affect after a stroke, often prompting the team to erroneously diagnose a patient with PSD. Emotional lability can be frustrating for the patient and family; however, symptoms typically decline over time and do not require treatment for depression.75

Screening is useful for prevalent conditions that can be effectively treated but not readily detected without screening. Three key factors are important to consider when determining whether screening is useful for PSD: (1) the validity and reliability of screening tools to detect PSD; (2) whether treatment of PSD improves depressive symptoms, QOL, functional outcomes, and mortality; and (3) whether PSD screening improves outcomes. In this section, we address the first and third points. The second point will be addressed in the following section on management.

Screening Tools for PSD

The optimal screening tool for PSD remains unclear. Meader et al conducted a meta-analysis to determine which screening tools were most accurate for detecting PSD.58 They included studies through November of 2012 (24 studies; n=2907 participants). Limitations included significant heterogeneity between studies, narrow inclusion and exclusion criteria, not reporting stroke type (ischemic vs hemorrhagic), inadequate reporting of blinding of assessments, not reporting predefined cutoffs, rarely comparing multiple tools in the same population, not assessing scales in different languages, race/ethnic groups, and cultures, and lack of information concerning dropout. Overall, the 20-item Center of Epidemiological Studies-Depression Scale (CES-D) (sensitivity: 0.75; 95% CI, 0.60–0.85; specificity: 0.88; 95% CI, 0.71–0.95), 21-item Hamilton Depression Rating Scale (HDRS) (sensitivity: 0.84; 95% CI, 0.75–0.90; specificity: 0.83; 95% CI, 0.72–0.90), and 9-item Patient Health Questionnaire (PHQ-9) (sensitivity: 0.86; 95% CI, 0.70–0.94; specificity: 0.79; 95% CI, 0.60–0.90) appeared to be the optimal measures for screening. Although CES-D and HDRS had high sensitivity, they may not be feasible in a busy clinical practice, and PHQ-9 may be more pragmatic. PHQ-2 performed poorly (sensitivity 0.79; 95% CI, 0.55–0.92; specificity 0.76; 95% CI, 0.62–0.85). It is important to note, however, that there are 2 versions of the PHQ-2. The yes/no version, developed in 1997, which has excellent sensitivity for diagnosing major depression in the general population,59 screens positive if 1 or both of the 2 core symptoms (depressed mood and anhedonia) is present. The multiple-choice version, developed in 2003, has a 6-point scale and the cut point for a positive screen varies by population (≥2 or ≥3). The 3 studies of PHQ-2 in the Meader meta-analysis6062 used the multiple choice version.58 Further studies are needed to determine the sensitivity and specificity of the yes/no PHQ-2 in individuals with stroke; however, in an analysis of 1024 participants with coronary heart disease enrolled in the Heart and Soul Study, of which 147 (14%) had a history of stroke, the yes/no PHQ-2 had sensitivity of 0.90 (95% CI, 0.86–0.94) and specificity of 0.69 (95% CI, 0.66–0.73).63

Another factor to consider is the timing of screening for PSD. The optimal screening tool may vary by time since stroke and the optimal time to screen is unknown. Meader et al performed subgroup analyses by time frame after stroke and found that 6 scales had sufficient data for meta-analysis in the acute (eg, hospital setting and within 6 months of stroke) setting: Geriatric Depression Scale 15 (GDS 15), Montgomery Asberg Depression Rating Scale, HDRS, Hospital Anxiety and Depression Scale (HADS-Total and HADS-D), and Beck Depression Inventory. The HDRS had the highest sensitivity and positive predictive value, while HADS-Total was most specific. There were 4 scales where meta-analysis was possible in postacute (receiving outpatient or inpatient rehabilitation treatment) settings: HDRS, CES-D, HADS-D, and Beck Depression Inventory. CES-D had the highest positive predictive value and the highest utility for screening, followed by the HDRS.58 One must also take into account the feasibility of depression screening.

Implication for Clinical Practice

In summary, 24 studies (n=2907 participants) showed that the CES-D, HDRS, and PHQ-9 had high sensitivity for detecting PSD; however, the studies had several limitations, including generalizability.

Effects of Screening for PSD on Outcomes

The controversy surrounding routine screening for PSD lies in the third question: does screening for PSD improve outcomes? In the primary care setting, initial RCTs found little if any benefit from screening for depression6467; although screening improved recognition and treatment, it did not improve depressive symptoms or outcomes. Subsequent RCTs showed that depression screening in combination with a collaborative care intervention—a multiprofessional approach to patient care involving a structured patient management plan and interventions, scheduled patient follow-ups, and enhanced interprofessional communication—improved outcomes.68 Collaborative care for depression can include a variety of interventions from the simple (telephone calls to encourage medication compliance) to the complex (intensive follow-up including structured complex psychosocial interventions). Studies that are based in primary care have shown that essential elements of collaborative care programs are the use of evidence-based protocols for treatment, structured collaboration between primary care providers and mental health specialists, active monitoring of adherence to treatment and of outcomes, and (in some cases) structured programs of psychotherapy delivered in primary care.69 In nonstroke populations, collaborative care programs have resulted in improved control of depression70 and comorbid illness68 in a cost-effective manner.71 On the basis of this evidence, the US Preventive Services Task Force recommends routine screening for depression in primary care settings where adequate systems are in place to ensure accurate diagnosis, effective treatment, and appropriate follow-up.72

The studies of PSD screening combined with collaborative care in populations with stroke are scarce and small. The AIM (Activate-Initiate-Monitor) RCT (N=188) used a care management strategy (n=89 at 12 weeks) in which nurse care managers supervised by study physicians used psychoeducational sessions to Activate survivors and families to understand depression and accept treatment, Initiate antidepressant treatment, and Monitor treatment with scripted bimonthly telephone calls. The control condition (n=93 at 12 weeks) was usual care with the same number of telephone sessions that focused only on recognition and monitoring of stroke symptoms and risks. Remission (HDRS<8) was achieved in 39% vs 23% (P=0.01) favoring the intervention group. Reduction of depression symptoms (HDRS<8 or a 50% reduction in scores from baseline) was achieved in 51% versus 30% (P=0.005), favoring the intervention group.73 Although another study (n=652) revealed that implementation of clinical improvement teams increased the diagnosis and provision of treatment for PSD, the presence or absence of depression was not measured as an outcome.74

Other facts to consider are costs associated with screening, the yield of systematic screening (ie, will it identify more cases than would be identified without routine screening), and whether treatment of depression in those who may have been missed without screening (ie, milder cases) is effective. Although multiple guidelines recommend routine screening for depression in poststroke patients,7579 it is important to note that the guidelines were not developed on the basis of RCT evidence showing that PSD screening improves outcomes.

Implication for Clinical Practice

Systematic screening for PSD may improve outcomes, provided that processes are in place to assure accurate diagnosis, timely and effective treatment, and follow-up. Further research is needed to determine whether screening for PSD—in conjunction with collaborative care to ensure timely intervention, treatment, and follow-up—improves outcomes in diverse populations of stroke survivors.

Depression in Caregivers

Caregivers are also at particular risk for depression and declining health. Depression rates of stroke caregivers may even exceed that of stroke patients.80 Risk factors include older age of caregiver, stroke severity, and spouse compared with next of kin. Caregivers who experience strain associated with caring for a disabled elderly person are at increased risk of mortality themselves.81 The members of the stroke care team should also be cognizant of the caregiver and offer mental health support when there is suspicion for depression or maladaptive behavior.

Management and Prevention of PSD

Management: Pharmacotherapy to Treat PSD

Few RCTs have examined the efficacy of antidepressants to treat PSD. These RCTs were heterogeneous, typically had small sample sizes, often were of short duration, and varied in critical aspects of their design including characteristics of the study population, method for screening and diagnosing PSD, and operational definitions of primary and secondary outcomes. Rather than relying on a structured psychiatric interview and established diagnostic criteria, many pharmacotherapy trials defined PSD with an arbitrary cutoff score on a scale measuring the severity of depressive symptoms. Furthermore, the RCT that enrolled the greatest number of patients with PSD to date (n=285) did not use a rigorous operational diagnosis of depression to ascertain cases.82 Most trials excluded individuals with aphasia, cognitive impairment and psychiatric comorbidity, limiting their generalizability. In addition, patients with PSD were enrolled at different times after an index stroke, although clinical correlates of depression vary with time, affecting the probability of response. Treatment objectives have been vague; few of the RCTs provided a clear definition of what they considered remission or response and consequently failed to report their respective rates.

A meta-analysis by Hackett et al83 tried to overcome these shortfalls while reviewing 12 RCTs of the efficacy of antidepressant medication to treat PSD (n=1121). Given the limitations described above, the authors were mostly restricted to providing a narrative review of the available evidence. Nonetheless, the data suggested a beneficial effect of antidepressants on remission (pooled OR for meeting criteria for depression: 0.47; 95% CI, 0.22–0.98) and response, measured as a >50% reduction in mood scores (pooled OR, 0.22; 95% CI, 0.09–0.52). Adverse events were more frequent among those subjects who received the active medication compared with those who received placebo. These included central nervous system side effects (OR, 1.96; 95% CI, 1.19–3.24), gastrointestinal side effects (OR, 2.37; 95% CI, 1.38–4.06) and other side effects (OR, 1.51; 95% CI, 0.91–2.34). There were insufficient trials of each of the antidepressants to conduct meta-analyses by antidepressant. Since the aforementioned systematic review, there have been no new publications of double-blinded, placebo-controlled trials examining the efficacy of pharmacological agents to treat PSD, with the exception of a trial of nefiracetam that proved to be equivalent to placebo in treating PSD.84

The available evidence on the efficacy of psychostimulants is mostly limited to case reports and open label trials. Methylphenidate may be useful in inpatient settings or when promptness of response is required. A small RCT (n=21) of its efficacy was conducted in the late 1990s in stroke rehabilitation settings. When compared to placebo, methylphenidate significantly reduced the severity of depressive symptoms and was associated with improved motor recovery.85 Stimulants have been used to augment partial responses to SSRIs, especially in the presence of residual cognitive impairments or fatigue; however, given their cardiovascular side effects and potential for inducing reversible vasoconstriction syndrome, larger, adequately powered RCTs, with long-term follow-up are needed to determine whether they are effective in improving outcomes after stroke.

Implication for Clinical Practice

In summary, 12 trials (n=1121) suggested that antidepressant medications may be effective in treating PSD; further research is needed to determine optimal timing, threshold, and medications for treatment.

Management: Neuromodulation

Preliminary evidence (n=92 patients) from a small RCT suggested that noninvasive brain stimulation techniques such as repetitive transcranial magnetic stimulation might be effective among depressed stroke patients who do not respond to a trial with antidepressants.86

There are no RCTs of electroconvulsive therapy in stroke survivors with PSD; however, electroconvulsive therapy has been used as a last resort to treat refractory PSD.83 Treatment should be started at the lowest effective energy levels, using pulsatile currents, increased spacing of treatments (2–5 days between treatments), and fewer treatments in an entire course (ie, 4–6). Nondominant unilateral electroconvulsive therapy is the preferred technique.

In summary, further studies are needed to determine the efficacy of neuromodulation on treating PSD.

Management: Psychosocial Interventions to Treat PSD

A Cochrane review and meta-analysis first published in 2004 and updated in 2008 (3 trials including 445 participants) indicated a paucity of well-designed trials of psychosocial interventions for the treatment of PSD with no evidence of benefit of psychotherapy (cognitive behavioral therapy, motivational interviewing, a supportive psychological intervention) over control conditions for treating PSD. Several ongoing trials were identified in that review,83 4 of which have been published since 2007. Three of these individual trials indicated a benefit of brief psychosocial therapies for established PSD and for prevention.

Two RCTs included people with ischemic stroke screened for depressive symptoms within 1 to 4 months after stroke. The diagnosis of major or minor depression was confirmed with a structured clinical interview consistent with the Diagnostic and Statistical Manual of Mental Disorders, 4thEdition criteria87,88 or the Stroke Aphasic Depression Questionnaire 10-item hospital version (cutoff ≥6) or the visual analogue sad item (cutoff ≥50) completed by a nurse, relative, or caregiver.89 The primary outcome of depression was measured using HDRS at 9 weeks, 6 months, and 1 year87,88 in 2 trials by outcome assessors masked to the participant’s study group and uninvolved in the treatment, and at 3 and 6 months after randomization using the Stroke Aphasic Depression Questionnaire 21-item hospital version completed by a relative or caregiver.89

In the Living Well With Stroke Study (N=101),87 ischemic stroke survivors were randomized to a brief psychosocial intervention (n=48), which comprised 9 sessions of counseling by psychosocial nurse practitioners about behavioral observation, information about adapting to stroke and mood, and problem solving, versus usual care (n=53) including follow-up with their own provider and informational literature from the American Stroke Association. Antidepressants were recommended by the participants’ providers for both groups. Remission or greater reduction in depression symptoms was achieved more often in the intervention group than usual care at all time points (9 weeks, 6 months, and 1 year). Remission (HDRS 9) was 47% versus 19% (P=0.001) at 9 weeks and 48% versus 27% (P=0.031) at 1 year, both favoring intervention.87

A second Living Well With Stroke Study (N=100) included participants with ischemic and hemorrhagic stroke, had a shortened intervention (6 sessions), and compared in-person versus telephone delivery versus usual care. HDRS scores were reduced by 42% (telephone) and 40% (in person) immediately after intervention compared with 30% for usual care. Although this difference favored the intervention, it was not significant. By 12 months after intervention, there was no significant difference among the 3 conditions, with all 3 groups achieving a 40% reduction in scores.88

The findings of the Living Well With Stroke Study RCTs were supported by a much smaller, multifaceted intervention, conducted during rehabilitation.90 Twenty-four patients with ischemic or hemorrhagic stroke in a rehabilitation hospital were randomly assigned to receive 12 weekly sessions of ecosystem-focused therapy (n=12), which emphasized a family-focused, problem-solving identification of valued activities and coordination of therapies. The comparison group (n=12) had 12 weekly sessions focused on education about stroke and depression and reviewed written materials. Participants were included in the trial based on the PHQ-9, with depression diagnosis confirmed by Diagnostic and Statistical Manual of Mental Disorders, 4th Edition criteria and depression severity measured by HDRS scores. At week 12, 66.7% of the ecosystem focused therapy participants had achieved remission of depression (HDRS<10), which was significantly greater than the 16.7% achieving remission in the control group.90

The CALM trial (Communication and Low Mood) (N=105)89 randomized stroke survivors with aphasia to receive up to 20 1-hour sessions of behavioral therapy over 3 months (n=51), delivered by an assistant psychologist supervised by a clinical psychologist and supported by an intervention manual developed from studies of cognitive behavioral therapy or usual care (n=54). Mean Stroke Aphasic Depression Questionnaire scores decreased from baseline to 6 months by 6 points in the intervention group compared with an increase of 1.9 points in the control group. When baseline values and communication impairment were controlled for, participants in the intervention group had improved mood compared with controls (P=0.002).89

These 4 trials of 330 participants were relatively small, and 3 were conducted at single institutions, but the reduction in depression results were consistent with the exception of the second Living Well With Stroke Study.

Implication for Clinical Practice

In summary, 7 trials (n=775) suggest that brief psychosocial interventions may be useful and effective in treatment of PSD. Whether antidepressant medication is a necessary or beneficial adjuvant cannot be established from these trials because of a lack of placebo controls.

Management: Stroke Liaison Workers

Stroke liaison workers provide services including education, information provision, social support, and liaison with other services. A systematic review of 15 interventions (2743 participants) in unselected groups of stroke survivors (ie, trials were not limited to people with or without depression) did not show any evidence of a beneficial effect from stroke liaison workers on depression, when compared with controls (standardized mean reduction in depression scores, −0.04; 95% CI, −0.12 to 0.04).91

Implication for Clinical Practice

In summary, 15 trials (n=2743) have not revealed a beneficial effect from stroke liaison workers on PSD; however, the trials included individuals without a diagnosis of PSD. Further studies are needed to determine the effect of liaison worker on those with established PSD.

Management: Information Provision

In a systematic review of studies assessing the effectiveness of information provision strategies in improving outcomes in stroke survivors (17 RCTs; n=2831), 12 trials evaluated the effect of passive or active information provision on depression. Dichotomous data were available for 956 of 1280 participants from 8 trials and revealed no significant difference on depression. Continuous data were available for 720 of 1016 participants in 7 trials and showed a small benefit of information provision on depression scores (weighted mean reduction in scores of −0.52; 95% CI, −0.93 to −0.10; P=0.01); however, the clinical significance of this improvement is unclear. Active information provision was significantly more effective than was passive information for depression (P<0.02 for all trials), and anxiety (P<0.05 for trials reporting dichotomous data, P<0.01 for trials reporting continuous data).92 There was considerable variability in the interventions evaluated and quality of the trials.

Implication for Clinical Practice

In summary, 7 trials (n=720) suggest that information provision provides a small benefit in depression scores; however, the clinical significance of this improvement is unclear.

Management: Self-Management

The US Institute of Medicine has defined self-management as “the tasks that individuals must undertake to live with one or more chronic conditions. These tasks include having the confidence to deal with medical management, role management and emotional management of their conditions.”93 Self-efficacy, an individual’s confidence in their ability to carry out a specific task or behavior, is a mediator in the causal pathway between acquiring self-management skills and enactment of self-management behaviors. A systematic review without meta-analysis assessed the effectiveness of self-management strategies on depression, as a secondary end point, after stroke. No evidence of benefit was seen in 2 RCTs including 303 participants.94 Further research is needed to assess the effect of self-management teaching on PSD incidence and outcomes.

In summary, few studies have assessed the effectiveness of self-management strategies on PSD; further studies are needed to determine whether these strategies are beneficial.

Prevention of PSD Using Pharmacological Interventions

PSD is a disorder in which the ratio between recent incidence and prevalence is high (ie, high influx disorder).95 Given the high prevalence and association with functional impairment, poor QOL, and increased morbidity and mortality, PSD is an ideal target for selective prevention.

Salter et al performed a meta-analysis summarizing the findings of 8 RCTs (from 1990 through 2011) assessing the efficacy of preventive pharmacological interventions among 776 initially nondepressed stroke patients.96 Pooled analyses revealed that the likelihood of developing PSD was reduced among patients receiving active pharmacological treatment (OR, 0.34; 95% CI, 0.22–0.53), especially after a 1 year treatment (OR, 0.31; 95% CI, 0.18–0.56), and with the use of an SSRI (OR, 0.37; 95% CI, 0.22–0.61). The most commonly reported side effects were nausea, diarrhea, fatigue, and dizziness. There were no significant differences between the active treatment and placebo groups in the frequency of these symptoms. Only tremor was significantly associated with sertraline in 1 of the RCTs.96 This review included 2 publications from the same cohort and an open trial (drug vs usual care). These review results are contrary to an earlier 2008 Cochrane systematic review including 12 placebo-controlled trials of 611 individuals, finding no evidence that antidepressant drugs prevented depression after stroke.97 The Salter meta-analysis included 3 small trials40,98,99 of antidepressant medications published after the Cochrane review, and 1 other trial has since been published.100 All 4 trials (401 participants) showed benefit of their respective antidepressant (fluoxetine n=59, placebo n=59; milnacipran n=56, placebo n=46; paroxetine n=32, placebo n=32; and escitalopram n=59, placebo n=58) over placebo. With the exception of the single open label trial, the studies had satisfactory methodological quality; however, only 3 studies reported their mechanism for concealed allocation, and all studies excluded those with aphasia and/or significant cognitive impairment, limiting generalizability.

Implication for Clinical Practice

In summary, 8 trials (n=776) suggest that pharmacological treatment may be effective in preventing PSD; however, further studies are needed in more representative samples of stroke survivors, and additional study is required to determine the optimal timing and duration of treatment.

Prevention of PSD Using Psychosocial Interventions

A Cochrane review and meta-analysis first published in 2004, and updated in 2008 (4 trials including 902 participants), indicated a small but significant effect of psychosocial strategies (problem-solving therapy, a broad home-based therapy, motivational interviewing) to prevent PSD (OR, 0.64; 95% CI, 0.42–0.98).97 Limitations included considerable heterogeneity in design, analysis, and reporting of clinical trials, variable inclusion criteria, exclusion of individuals with aphasia, cognitive impairment, and previous psychiatric illness (limiting generalizability), inadequate concealment of randomization, and high numbers of drop outs. In trial results published since the 2008 review, 1 long-term follow-up study of people with and without high depressive symptom burden at baseline (n=411), the group that received motivational interviewing sessions (n=204) was more likely to have normal mood (48% vs 38% control, OR, 1.66; 95% CI, 1.08–2.55) and to have survived at 12 months (6.5% died in intervention vs 12.8% control; OR, 2.14; 95% CI, 1.06–4.38). Formal diagnoses of depression were not made in this study.101

A multisite prevention trial included pharmacological and psychosocial treatment for 176 nondepressed stroke survivors enrolled within 3 months of stroke. Participants were randomized to 1 year of treatment either with a double-blind trial of escitalopram (n=59) versus placebo (n=58) or a nonblinded problem-solving therapy group (n=59). Those taking placebo were more likely to report clinical depression (HR, 4.5; 95% CI, 2.4–8.2) than those who participated in the problem-solving treatment (HR, 2.2; 95% CI, 1.4–3.5) and than those taking escitalopram.99 However, 4 of those in the escitalopram group developed new symptoms of major depression when the drug was discontinued after 1 year, whereas no one in the placebo or problem-solving group developed new symptoms of depression.102

Implication for Clinical Practice

In summary, 5 trials (n=1078) suggest that psychosocial therapies may prevent the development of PSD; however, the studies are not generalizable to all stroke survivors, given their narrow inclusion and exclusion criteria. Further research with more rigorous methods are needed to assess the effect of psychotherapy on prevention of PSD.

Recommendations for Future Research

  • Further elucidate pathophysiology of PSD, including relative contributions of biological and psychosocial factors in the development of PSD.

  • Determine whether the pathophysiology of early PSD differs from late PSD.

  • Assess the effect of PSD on outcomes and develop optimal strategies to counteract these effects.

  • Further elucidate the independent effect of PSD on QOL and determine how to improve QOL in individuals with or at risk for PSD.

  • Evaluate the effect of treatment of PSD on subsequent healthcare use.

  • Assess the risks and benefits of routine screening for PSD and determine optimal timing, frequency, setting, and method for screening.

  • Conduct large, multicenter, international RCTs to determine whether screening for PSD—in conjunction with collaborative care to ensure timely intervention, treatment, and follow-up—improves outcomes.

  • Conduct large, multicenter, international RCTs to identify safe and effective treatments for PSD, optimal timing and thresholds for treatment, and to determine whether effective treatment of PSD improves survival and other outcomes after stroke.

  • Determine optimal strategies to prevent PSD.

Conclusions

Depression is common after stroke, affecting up to one third of stroke survivors at any one time. The natural history of PSD is dynamic; however, symptoms most frequently develop in the first year. The pathophysiology of PSD is poorly understood; proposed mechanisms include psychosocial factors such as psychological response to new disability and social isolation, as well as biological factors such as genetic susceptibility, inflammation, alterations in neurotrophic factors, disruption of neural networks, and alterations in serotonergic, noradrenergic, and dopaminergic pathways. The most consistent predictors of PSD include physical disability, stroke severity, depression before stroke, and cognitive impairment. Individuals with PSD have higher healthcare use, poorer functional outcomes and QOL, and higher mortality. Numerous screening tools are reliable in identifying depression in stroke survivors; however, further studies are needed to determine the optimal timing, setting, and follow-up for screening. Clinical trials of antidepressants in individuals with PSD have shown a beneficial effect on depression remission and response, but trials were limited by small samples, variable criteria for PSD, and vague definitions for remission and response. Several recent trials have indicated a benefit of brief psychosocial therapies for treatment. The effect of information provision, collaborative care interventions, and clinical improvement teams on PSD require further study; however, preliminary data suggest a benefit of the latter 2. Pharmacological and psychosocial interventions have been shown to reduce the likelihood of developing PSD. The high prevalence and poor prognosis of depression in patients with stroke supports a strategy of increased awareness, timely screening, and prompt evidence-based management; however, further studies are needed to determine the optimal timing and method for screening, and ideal treatment strategy. This scientific statement aimed to draw attention to this underrecognized, underinvestigated, and undertreated problem with the goal of summarizing current knowledge, emphasizing implications for clinical practice, and recommending areas for future research.

Footnotes

The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists.

The American Heart Association makes every effort to avoid any actual or potential conflicts of interest that may arise as a result of an outside relationship or a personal, professional, or business interest of a member of the writing panel. Specifically, all members of the writing group are required to complete and submit a Disclosure Questionnaire showing all such relationships that might be perceived as real or potential conflicts of interest.

This statement was approved by the American Heart Association Science Advisory and Coordinating Committee on June 1, 2016, and the American Heart Association Executive Committee on July 20, 2016. A copy of the document is available at http://professional.heart.org/statements by using either “Search for Guidelines & Statements” or the “Browse by Topic” area. To purchase additional reprints, call 843-216-2533 or e-mail .

The American Heart Association requests that this document be cited as follows: Towfighi A, Ovbiagele B, El Husseini N, Hackett ML, Jorge RE, Kissela BM, Mitchell PH, Skolarus LE, Whooley MA, Williams LS; on behalf of the American Heart Association Stroke Council; Council on Cardiovascular and Stroke Nursing; and Council on Quality of Care and Outcomes Research. Poststroke depression: a scientific statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2017;48:e30–e43. doi: 10.1161/STR.0000000000000113.

Expert peer review of AHA Scientific Statements is conducted by the AHA Office of Science Operations. For more on AHA statements and guidelines development, visit http://professional.heart.org/statements. Select the “Guidelines & Statements” drop-down menu, then click “Publication Development.”

Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at http://www.heart.org/HEARTORG/General/Copyright-Permission-Guidelines_UCM_300404_Article.jsp. A link to the “Copyright Permissions Request Form” appears on the right side of the page.

References

  • 1. Hackett ML, Pickles K. Part I: frequency of depression after stroke: an updated systematic review and meta-analysis of observational studies.Int J Stroke. 2014; 9:1017–1025. doi: 10.1111/ijs.12357.CrossrefMedlineGoogle Scholar
  • 2. Kutlubaev MA, Hackett ML. Part II: predictors of depression after stroke and impact of depression on stroke outcome: an updated systematic review of observational studies.Int J Stroke. 2014; 9:1026–1036. doi: 10.1111/ijs.12356.CrossrefMedlineGoogle Scholar
  • 3. Bartoli F, Lillia N, Lax A, Crocamo C, Mantero V, Carrà G, Agostoni E, Clerici M. Depression after stroke and risk of mortality: a systematic review and meta-analysis.Stroke Res Treat. 2013; 2013:862978. doi: 10.1155/2013/862978.MedlineGoogle Scholar
  • 4. Hasin DS, Goodwin RD, Stinson FS, Grant BF. Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions.Arch Gen Psychiatry. 2005; 62:1097–1106. doi: 10.1001/archpsyc.62.10.1097.CrossrefMedlineGoogle Scholar
  • 5. Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication.Arch Gen Psychiatry. 2005; 62:617–627. doi: 10.1001/archpsyc.62.6.617.CrossrefMedlineGoogle Scholar
  • 6. Ayerbe L, Ayis S, Crichton S, Wolfe CD, Rudd AG. The natural history of depression up to 15 years after stroke: the South London Stroke Register.Stroke. 2013; 44:1105–1110. doi: 10.1161/STROKEAHA.111.679340.LinkGoogle Scholar
  • 7. Hackett ML, Yapa C, Parag V, Anderson CS. Frequency of depression after stroke: a systematic review of observational studies.Stroke. 2005; 36:1330–1340. doi: 10.1161/01.STR.0000165928.19135.35.LinkGoogle Scholar
  • 8. Ayerbe L, Ayis S, Wolfe CD, Rudd AG. Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis.Br J Psychiatry. 2013; 202:14–21. doi: 10.1192/bjp.bp.111.107664.CrossrefMedlineGoogle Scholar
  • 9. Ng KC, Chan KL, Straughan PT. A study of post-stroke depression in a rehabilitative center.Acta Psychiatr Scand. 1995; 92:75–79.CrossrefMedlineGoogle Scholar
  • 10. Nys GM, van Zandvoort MJ, van der Worp HB, de Haan EH, de Kort PL, Kappelle LJ. Early depressive symptoms after stroke: neuropsychological correlates and lesion characteristics.J Neurol Sci. 2005; 228:27–33. doi: 10.1016/j.jns.2004.09.031.CrossrefMedlineGoogle Scholar
  • 11. Murphy E. Social origins of depression in old age.Br J Psychiatry. 1982; 141:135–142.CrossrefMedlineGoogle Scholar
  • 12. Whyte EM, Mulsant BH. Post stroke depression: epidemiology, pathophysiology, and biological treatment.Biol Psychiatry. 2002; 52:253–264.CrossrefMedlineGoogle Scholar
  • 13. Folstein MF, Maiberger R, McHugh PR. Mood disorder as a specific complication of stroke.J Neurol Neurosurg Psychiatry. 1977; 40:1018–1020.CrossrefMedlineGoogle Scholar
  • 14. Burvill P, Johnson G, Jamrozik K, Anderson C, Stewart-Wynne E. Risk factors for post-stroke depression.Int J Geriatr Psychiatry. 1997; 12:219–226.CrossrefMedlineGoogle Scholar
  • 15. Lieberman D, Friger M, Fried V, Grinshpun Y, Mytlis N, Tylis R, Galinsky D, Lieberman D. Characterization of elderly patients in rehabilitation: stroke versus hip fracture.Disabil Rehabil. 1999; 21:542–547.CrossrefMedlineGoogle Scholar
  • 16. Starkstein SE, Fedoroff JP, Price TR, Leiguarda R, Robinson RG. Anosognosia in patients with cerebrovascular lesions. A study of causative factors.Stroke. 1992; 23:1446–1453.LinkGoogle Scholar
  • 17. Fujikawa T, Yamawaki S, Touhouda Y. Incidence of silent cerebral infarction in patients with major depression.Stroke. 1993; 24:1631–1634.LinkGoogle Scholar
  • 18. Alexopoulos GS, Meyers BS, Young RC, Kakuma T, Silbersweig D, Charlson M. Clinically defined vascular depression.Am J Psychiatry. 1997; 154:562–565. doi: 10.1176/ajp.154.4.562.CrossrefMedlineGoogle Scholar
  • 19. Loubinoux I, Kronenberg G, Endres M, Schumann-Bard P, Freret T, Filipkowski RK, Kaczmarek L, Popa-Wagner A. Post-stroke depression: mechanisms, translation and therapy.J Cell Mol Med. 2012; 16:1961–1969. doi: 10.1111/j.1582-4934.2012.01555.x.CrossrefMedlineGoogle Scholar
  • 20. Craft TK, DeVries AC. Role of IL-1 in poststroke depressive-like behavior in mice.Biol Psychiatry. 2006; 60:812–818. doi: 10.1016/j.biopsych.2006.03.011.CrossrefMedlineGoogle Scholar
  • 21. Snaphaan L, van der Werf S, Kanselaar K, de Leeuw FE. Post-stroke depressive symptoms are associated with post-stroke characteristics.Cerebrovasc Dis. 2009; 28:551–557. doi: 10.1159/000247598.CrossrefMedlineGoogle Scholar
  • 22. Altieri M, Maestrini I, Mercurio A, Troisi P, Sgarlata E, Rea V, Di Piero V, Lenzi GL. Depression after minor stroke: prevalence and predictors.Eur J Neurol. 2012; 19:517–521. doi: 10.1111/j.1468-1331.2011.03583.x.CrossrefMedlineGoogle Scholar
  • 23. Robinson RG, Shoemaker WJ, Schlumpf M, Valk T, Bloom FE. Effect of experimental cerebral infarction in rat brain on catecholamines and behaviour.Nature. 1975; 255:332–334.CrossrefMedlineGoogle Scholar
  • 24. Robinson RG, Kubos KL, Starr LB, Rao K, Price TR. Mood changes in stroke patients: relationship to lesion location.Compr Psychiatry. 1983; 24:555–566.CrossrefMedlineGoogle Scholar
  • 25. Carson AJ, MacHale S, Allen K, Lawrie SM, Dennis M, House A, Sharpe M. Depression after stroke and lesion location: a systematic review.Lancet. 2000; 356:122–126. doi: 10.1016/S0140-6736(00)02448-X.CrossrefMedlineGoogle Scholar
  • 26. Wei N, Yong W, Li X, Zhou Y, Deng M, Zhu H, Jin H. Post-stroke depression and lesion location: a systematic review.J Neurol. 2015; 262:81–90. doi: 10.1007/s00415-014-7534-1.CrossrefMedlineGoogle Scholar
  • 27. Yu L, Liu CK, Chen JW, Wang SY, Wu YH, Yu SH. Relationship between post-stroke depression and lesion location: a meta-analysis.Kaohsiung J Med Sci. 2004; 20:372–380. doi: 10.1016/S1607-551X(09)70173-1.CrossrefMedlineGoogle Scholar
  • 28. Kim JM, Stewart R, Kang HJ, Kim SW, Shin IS, Kim HR, Shin MG, Kim JT, Park MS, Cho KH, Yoon JS. A longitudinal study of SLC6A4 DNA promoter methylation and poststroke depression.J Psychiatr Res. 2013; 47:1222–1227. doi: 10.1016/j.jpsychires.2013.04.010.CrossrefMedlineGoogle Scholar
  • 29. Kim JM, Stewart R, Kang HJ, Kim SY, Kim SW, Shin IS, Park MS, Kim HR, Shin MG, Cho KH, Yoon JS. A longitudinal study of BDNF promoter methylation and genotype with poststroke depression.J Affect Disord. 2013; 149:93–99. doi: 10.1016/j.jad.2013.01.008.CrossrefMedlineGoogle Scholar
  • 30. Kim JM, Stewart R, Kim SW, Shin IS, Kim JT, Park MS, Park SW, Kim YH, Cho KH, Yoon JS. Associations of cytokine gene polymorphisms with post-stroke depression.World J Biol Psychiatry. 2012; 13:579–587. doi: 10.3109/15622975.2011.588247.CrossrefMedlineGoogle Scholar
  • 31. Spalletta G, Bossù P, Ciaramella A, Bria P, Caltagirone C, Robinson RG. The etiology of poststroke depression: a review of the literature and a new hypothesis involving inflammatory cytokines.Mol Psychiatry. 2006; 11:984–991. doi: 10.1038/sj.mp.4001879.CrossrefMedlineGoogle Scholar
  • 32. Rocco A, Afra J, Toscano M, Sirimarco G, Di Clemente L, Altieri M, Lenzi GL, Di Piero V. Acute subcortical stroke and early serotonergic modification: a IDAP study.Eur J Neurol. 2007; 14:1378–1382. doi: 10.1111/j.1468-1331.2007.01985.x.CrossrefMedlineGoogle Scholar
  • 33. Newberg AR, Davydow DS, Lee HB. Cerebrovascular disease basis of depression: post-stroke depression and vascular depression.Int Rev Psychiatry. 2006; 18:433–441. doi: 10.1080/09540260600935447.CrossrefMedlineGoogle Scholar
  • 34. Noonan K, Carey LM, Crewther SG. Meta-analyses indicate associations between neuroendocrine activation, deactivation in neurotrophic and neuroimaging markers in depression after stroke.J Stroke Cerebrovasc Dis. 2013; 22:e124–e135. doi: 10.1016/j.jstrokecerebrovasdis.2012.09.008.CrossrefMedlineGoogle Scholar
  • 35. Hackett ML, Anderson CS. Predictors of depression after stroke: a systematic review of observational studies.Stroke. 2005; 36:2296–2301. doi: 10.1161/01.STR.0000183622.75135.a4.LinkGoogle Scholar
  • 36. De Ryck A, Brouns R, Geurden M, Elseviers M, De Deyn PP, Engelborghs S. Risk factors for poststroke depression: identification of inconsistencies based on a systematic review.J Geriatr Psychiatry Neurol. 2014; 27:147–158. doi: 10.1177/0891988714527514.CrossrefMedlineGoogle Scholar
  • 37. Parikh RM, Robinson RG, Lipsey JR, Starkstein SE, Fedoroff JP, Price TR. The impact of poststroke depression on recovery in activities of daily living over a 2-year follow-up.Arch Neurol. 1990; 47:785–789.CrossrefMedlineGoogle Scholar
  • 38. Robinson RG, Bolla-Wilson K, Kaplan E, Lipsey JR, Price TR. Depression influences intellectual impairment in stroke patients.Br J Psychiatry. 1986; 148:541–547.CrossrefMedlineGoogle Scholar
  • 39. Wulsin L, Alwell K, Moomaw CJ, Lindsell CJ, Kleindorfer DO, Woo D, Flaherty ML, Khatri P, Adeoye O, Ferioli S, Broderick JP, Kissela BM. Comparison of two depression measures for predicting stroke outcomes.J Psychosom Res. 2012; 72:175–179. doi: 10.1016/j.jpsychores.2011.11.015.CrossrefMedlineGoogle Scholar
  • 40. Chollet F, Tardy J, Albucher JF, Thalamas C, Berard E, Lamy C, Bejot Y, Deltour S, Jaillard A, Niclot P, Guillon B, Moulin T, Marque P, Pariente J, Arnaud C, Loubinoux I. Fluoxetine for motor recovery after acute ischaemic stroke (FLAME): a randomised placebo-controlled trial.Lancet Neurol. 2011; 10:123–130. doi: 10.1016/S1474-4422(10)70314-8.CrossrefMedlineGoogle Scholar
  • 41. Dam M, Tonin P, De Boni A, Pizzolato G, Casson S, Ermani M, Freo U, Piron L, Battistin L. Effects of fluoxetine and maprotiline on functional recovery in poststroke hemiplegic patients undergoing rehabilitation therapy.Stroke. 1996; 27:1211–1214.LinkGoogle Scholar
  • 42. Pariente J, Loubinoux I, Carel C, Albucher JF, Leger A, Manelfe C, Rascol O, Chollet F. Fluoxetine modulates motor performance and cerebral activation of patients recovering from stroke.Ann Neurol. 2001; 50:718–729.CrossrefMedlineGoogle Scholar
  • 43. Zittel S, Weiller C, Liepert J. Citalopram improves dexterity in chronic stroke patients.Neurorehabil Neural Repair. 2008; 22:311–314. doi: 10.1177/1545968307312173.CrossrefMedlineGoogle Scholar
  • 44. Acler M, Robol E, Fiaschi A, Manganotti P. A double-blind placebo RCT to investigate the effects of serotonergic modulation on brain excitability and motor recovery in stroke patients.J Neurol. 2009; 256:1152–1158. doi: 10.1007/s00415-009-5093-7.CrossrefMedlineGoogle Scholar
  • 45. Mead GE, Hsieh CF, Lee R, Kutlubaev MA, Claxton A, Hankey GJ, Hackett ML. Selective serotonin reuptake inhibitors (SSRIs) for stroke recovery.Cochrane Database Syst Rev. 2012; 11:CD009286. doi: 10.1002/14651858.CD009286.pub2.MedlineGoogle Scholar
  • 46. Naess H, Waje-Andreassen U, Thomassen L, Nyland H, Myhr KM. Health-related quality of life among young adults with ischemic stroke on long-term follow-up.Stroke. 2006; 37:1232–1236. doi: 10.1161/01.STR.0000217652.42273.02.LinkGoogle Scholar
  • 47. Paolucci S, Gandolfo C, Provinciali L, Torta R, Toso V; DESTRO Study Group. The Italian multicenter observational study on post-stroke depression (DESTRO).J Neurol. 2006; 253:556–562. doi: 10.1007/s00415-006-0058-6.CrossrefMedlineGoogle Scholar
  • 48. Christensen MC, Mayer SA, Ferran JM, Kissela B. Depressed mood after intracerebral hemorrhage: the FAST trial.Cerebrovasc Dis. 2009; 27:353–360. doi: 10.1159/000202012.CrossrefMedlineGoogle Scholar
  • 49. Sturm JW, Donnan GA, Dewey HM, Macdonell RA, Gilligan AK, Srikanth V, Thrift AG. Quality of life after stroke: the North East Melbourne Stroke Incidence Study (NEMESIS).Stroke. 2004; 35:2340–2345. doi: 10.1161/01.STR.0000141977.18520.3b.LinkGoogle Scholar
  • 50. Pan JH, Song XY, Lee SY, Kwok T. Longitudinal analysis of quality of life for stroke survivors using latent curve models.Stroke. 2008; 39:2795–2802. doi: 10.1161/STROKEAHA.108.515460.LinkGoogle Scholar
  • 51. Williams LS, Bakas T, Brizendine E, Plue L, Tu W, Hendrie H, Kroenke K. How valid are family proxy assessments of stroke patients’ health-related quality of life?Stroke. 2006; 37:2081–2085. doi: 10.1161/01.STR.0000230583.10311.9f.LinkGoogle Scholar
  • 52. Jia H, Damush TM, Qin H, Ried LD, Wang X, Young LJ, Williams LS. The impact of poststroke depression on healthcare use by veterans with acute stroke.Stroke. 2006; 37:2796–2801. doi: 10.1161/01.STR.0000244783.53274.a4.LinkGoogle Scholar
  • 53. Ghose SS, Williams LS, Swindle RW. Depression and other mental health diagnoses after stroke increase inpatient and outpatient medical utilization three years poststroke.Med Care. 2005; 43:1259–1264.CrossrefMedlineGoogle Scholar
  • 54. Dossa A, Glickman ME, Berlowitz D. Association between mental health conditions and rehospitalization, mortality, and functional outcomes in patients with stroke following inpatient rehabilitation.BMC Health Serv Res. 2011; 11:311. doi: 10.1186/1472-6963-11-311.CrossrefMedlineGoogle Scholar
  • 55. Blanchette CM, Simoni-Wastila L, Shaya F, Orwig D, Noel J, Stuart B. Health care use in depressed, elderly, cardiac patients and the effect of antidepressant use.Am J Health Syst Pharm. 2009; 66:366–372. doi: 10.2146/ajhp080092.CrossrefMedlineGoogle Scholar
  • 56. 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; 42:1907–1911. doi: 10.1161/STROKEAHA.110.605808.LinkGoogle Scholar
  • 57. Ayerbe L, Ayis S, Crichton SL, Rudd AG, Wolfe CD. Explanatory factors for the increased mortality of stroke patients with depression.Neurology. 2014; 83:2007–2012. doi: 10.1212/WNL.0000000000001029.CrossrefMedlineGoogle Scholar
  • 58. Meader N, Moe-Byrne T, Llewellyn A, Mitchell AJ. Screening for poststroke major depression: a meta-analysis of diagnostic validity studies.J Neurol Neurosurg Psychiatry. 2014; 85:198–206. doi: 10.1136/jnnp-2012-304194.CrossrefMedlineGoogle Scholar
  • 59. Whooley MA, Avins AL, Miranda J, Browner WS. Case-finding instruments for depression. Two questions are as good as many.J Gen Intern Med. 1997; 12:439–445.CrossrefMedlineGoogle Scholar
  • 60. Turner A, Hambridge J, White J, Carter G, Clover K, Nelson L, Hackett M. Depression screening in stroke: a comparison of alternative measures with the structured diagnostic interview for the diagnostic and statistical manual of mental disorders, fourth edition (major depressive episode) as criterion standard.Stroke. 2012; 43:1000–1005. doi: 10.1161/STROKEAHA.111.643296.LinkGoogle Scholar
  • 61. de Man-van Ginkel JM, Hafsteinsdóttir T, Lindeman E, Burger H, Grobbee D, Schuurmans M. An efficient way to detect poststroke depression by subsequent administration of a 9-item and a 2-item Patient Health Questionnaire.Stroke. 2012; 43:854–856. doi: 10.1161/STROKEAHA.111.640276.LinkGoogle Scholar
  • 62. Williams LS, Brizendine EJ, Plue L, Bakas T, Tu W, Hendrie H, Kroenke K. Performance of the PHQ-9 as a screening tool for depression after stroke.Stroke. 2005; 36:635–638. doi: 10.1161/01.STR.0000155688.18207.33.LinkGoogle Scholar
  • 63. McManus D, Pipkin SS, Whooley MA. Screening for depression in patients with coronary heart disease (data from the Heart and Soul Study).Am J Cardiol. 2005; 96:1076–1081. doi: 10.1016/j.amjcard.2005.06.037.CrossrefMedlineGoogle Scholar
  • 64. Dowrick C, Buchan I. Twelve month outcome of depression in general practice: does detection or disclosure make a difference?BMJ. 1995; 311:1274–1276.CrossrefMedlineGoogle Scholar
  • 65. Callahan CM, Hendrie HC, Dittus RS, Brater DC, Hui SL, Tierney WM. Improving treatment of late life depression in primary care: a randomized clinical trial.J Am Geriatr Soc. 1994; 42:839–846.CrossrefMedlineGoogle Scholar
  • 66. Williams JW, Mulrow CD, Kroenke K, Dhanda R, Badgett RG, Omori D, Lee S. Case-finding for depression in primary care: a randomized trial.Am J Med. 1999; 106:36–43.CrossrefMedlineGoogle Scholar
  • 67. Whooley MA, Stone B, Soghikian K. Randomized trial of case-finding for depression in elderly primary care patients.J Gen Intern Med. 2000; 15:293–300.CrossrefMedlineGoogle Scholar
  • 68. Katon WJ, Lin EH, Von Korff M, Ciechanowski P, Ludman EJ, Young B, Peterson D, Rutter CM, McGregor M, McCulloch D. Collaborative care for patients with depression and chronic illnesses.N Engl J Med. 2010; 363:2611–2620. doi: 10.1056/NEJMoa1003955.CrossrefMedlineGoogle Scholar
  • 69. Simon G. Collaborative care for depression.BMJ. 2006; 332:249–250. doi: 10.1136/bmj.332.7536.249.CrossrefMedlineGoogle Scholar
  • 70. Archer J, Bower P, Gilbody S, Lovell K, Richards D, Gask L, Dickens C, Coventry P. Collaborative care for depression and anxiety problems.Cochrane Database Syst Rev. 2012; 10:CD006525. doi: 10.1002/14651858.CD006525.pub2.MedlineGoogle Scholar
  • 71. Katon W, Russo J, Lin EH, Schmittdiel J, Ciechanowski P, Ludman E, Peterson D, Young B, Von Korff M. Cost-effectiveness of a multicondition collaborative care intervention: a randomized controlled trial.Arch Gen Psychiatry. 2012; 69:506–514. doi: 10.1001/archgenpsychiatry.2011.1548.CrossrefMedlineGoogle Scholar
  • 72. Siu AL, Bibbins-Domingo K, Grossman DC, Baumann LC, Davidson KW, Ebell M, García FA, Gillman M, Herzstein J, Kemper AR, Krist AH, Kurth AE, Owens DK, Phillips WR, Phipps MG, Pignone MP; US Preventive Services Task Force (USPSTF). Screening for depression in adults: US Preventive Services Task Force recommendation statement.JAMA. 2016; 315:380–387. doi: 10.1001/jama.2015.18392.CrossrefMedlineGoogle Scholar
  • 73. Williams LS, Kroenke K, Bakas T, Plue LD, Brizendine E, Tu W, Hendrie H. Care management of poststroke depression: a randomized, controlled trial.Stroke. 2007; 38:998–1003. doi: 10.1161/01.STR.0000257319.14023.61.LinkGoogle Scholar
  • 74. Williams LS, Ofner S, Yu Z, Beyth RJ, Plue L, Damush T. Pre-post evaluation of automated reminders may improve detection and management of post-stroke depression.J Gen Intern Med. 2011; 26:852–857. doi: 10.1007/s11606-011-1709-6.CrossrefMedlineGoogle Scholar
  • 75. Duncan PW, Zorowitz R, Bates B, Choi JY, Glasberg JJ, Graham GD, Katz RC, Lamberty K, Reker D. Management of Adult Stroke Rehabilitation Care: a clinical practice guideline.Stroke. 2005; 36:e100–e143. doi: 10.1161/01.STR.0000180861.54180.FF.LinkGoogle Scholar
  • 76. Miller EL, Murray L, Richards L, Zorowitz RD, Bakas T, Clark P, Billinger SA; on behalf of the American Heart Association Council on Cardiovascular Nursing and the Stroke Council. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American Heart Association.Stroke. 2010; 41:2402–2448. doi: 10.1161/STR.0b013e3181e7512b.LinkGoogle Scholar
  • 77. Intercollegiate Stroke Working Party. National Clinic Guideline for Stroke. 4th ed. London: Royal College of Physicians; 2012.Google Scholar
  • 78. Stroke Foundation of New Zealand and New Zealand Guidelines Group, Clinical Guidelines for Stroke Management 2010. Wellington, New Zealand: Stroke Foundation of New Zealand; 2010.Google Scholar
  • 79. National Stroke Foundation. Clinical Guidelines for Stroke Management. Melbourne, Australia: National Stroke Foundation; 2010.Google Scholar
  • 80. Berg A, Palomäki H, Lönnqvist J, Lehtihalmes M, Kaste M. Depression among caregivers of stroke survivors.Stroke. 2005; 36:639–643. doi: 10.1161/01.STR.0000155690.04697.c0.LinkGoogle Scholar
  • 81. Schulz R, Beach SR. Caregiving as a risk factor for mortality: the Caregiver Health Effects Study.JAMA. 1999; 282:2215–2219.CrossrefMedlineGoogle Scholar
  • 82. Ohtomo E, Hirai S, Terashi A, Hasegawa K, Tazaki Y, Araki G, Ito E, Nishimura T, Furukawa T. Clinical evaluation of aniracetam on psychiatric symptoms related to cerebrovascular disease.J Clin Exp Med. 1991; 156:143–187.Google Scholar
  • 83. Hackett ML, Anderson CS, House A, Xia J. Interventions for treating depression after stroke.Cochrane Database Syst Rev. 2008:CD003437.MedlineGoogle Scholar
  • 84. Robinson RG, Jorge RE, Clarence-Smith K. Double-blind randomized treatment of poststroke depression using nefiracetam.J Neuropsychiatry Clin Neurosci. 2008; 20:178–184. doi: 10.1176/jnp.2008.20.2.178.CrossrefMedlineGoogle Scholar
  • 85. Grade C, Redford B, Chrostowski J, Toussaint L, Blackwell B. Methylphenidate in early poststroke recovery: a double-blind, placebo-controlled study.Arch Phys Med Rehabil. 1998; 79:1047–1050.CrossrefMedlineGoogle Scholar
  • 86. Jorge RE, Moser DJ, Acion L, Robinson RG. Treatment of vascular depression using repetitive transcranial magnetic stimulation.Arch Gen Psychiatry. 2008; 65:268–276. doi: 10.1001/archgenpsychiatry.2007.45.CrossrefMedlineGoogle Scholar
  • 87. Mitchell PH, Veith RC, Becker KJ, Buzaitis A, Cain KC, Fruin M, Tirschwell D, Teri L. Brief psychosocial-behavioral intervention with antidepressant reduces poststroke depression significantly more than usual care with antidepressant: living well with stroke: randomized, controlled trial.Stroke. 2009; 40:3073–3078. doi: 10.1161/STROKEAHA.109.549808.LinkGoogle Scholar
  • 88. Kirkness CJ, Becker KJ, Cain KC, Kohen R, Tirschwell DL, Teri L, Veith RR, Mitchell PH. Telephone versus in-person psychosocial behavioral treatment in post-stroke depression.Stroke. 2015; 46(suppl 1): AWP125.LinkGoogle Scholar
  • 89. Thomas SA, Walker MF, Macniven JA, Haworth H, Lincoln NB. Communication and Low Mood (CALM): a randomized controlled trial of behavioural therapy for stroke patients with aphasia.Clin Rehabil. 2013; 27:398–408. doi: 10.1177/0269215512462227.CrossrefMedlineGoogle Scholar
  • 90. Alexopoulos GS, Wilkins VM, Marino P, Kanellopoulos D, Reding M, Sirey JA, Raue PJ, Ghosh S, O’Dell MW, Kiosses DN. Ecosystem focused therapy in poststroke depression: a preliminary study.Int J Geriatr Psychiatry. 2012; 27:1053–1060. doi: 10.1002/gps.2822.CrossrefMedlineGoogle Scholar
  • 91. Ellis G, Mant J, Langhorne P, Dennis M, Winner S. Stroke liaison workers for stroke patients and carers: an individual patient data meta-analysis.Cochrane Database Syst Rev. 2010:CD005066.MedlineGoogle Scholar
  • 92. Smith J, Forster A, Young J; Cochrane Group for information provision after stroke. Cochrane review: information provision for stroke patients and their caregivers.Clin Rehabil. 2009; 23:195–206. doi: 10.1177/0269215508092820.CrossrefMedlineGoogle Scholar
  • 93. Parke HL, Epiphaniou E, Pearce G, Taylor SJ, Sheikh A, Griffiths CJ, Greenhalgh T, Pinnock H. Self-management support interventions for stroke survivors: A systematic meta-review.PLoS One. 2015; 10:e0131448. doi: 10.1371/journal.pone.0131448.CrossrefMedlineGoogle Scholar
  • 94. Jones F, Riazi A. Self-efficacy and self-management after stroke: a systematic review.Disabil Rehabil. 2011; 33:797–810. doi: 10.3109/09638288.2010.511415.CrossrefMedlineGoogle Scholar
  • 95. Beekman AT, Smit F, Stek ML, Reynolds CF, Cuijpers PC. Preventing depression in high-risk groups.Curr Opin Psychiatry. 2010; 23:8–11. doi: 10.1097/YCO.0b013e328333e17f.CrossrefMedlineGoogle Scholar
  • 96. Salter KL, Foley NC, Zhu L, Jutai JW, Teasell RW. Prevention of poststroke depression: does prophylactic pharmacotherapy work?J Stroke Cerebrovasc Dis. 2013; 22:1243–1251. doi: 10.1016/j.jstrokecerebrovasdis.2012.03.013.CrossrefMedlineGoogle Scholar
  • 97. Hackett ML, Anderson CS, House A, Halteh C. Interventions for preventing depression after stroke.Cochrane Database Syst Rev. 2008:CD003689.MedlineGoogle Scholar
  • 98. Tsai CS, Wu CL, Chou SY, Tsang HY, Hung TH, Su JA. Prevention of poststroke depression with milnacipran in patients with acute ischemic stroke: a double-blind randomized placebo-controlled trial.Int Clin Psychopharmacol. 2011; 26:263–267. doi: 10.1097/YIC.0b013e32834a5c64.CrossrefMedlineGoogle Scholar
  • 99. Robinson RG, Jorge RE, Moser DJ, Acion L, Solodkin A, Small SL, Fonzetti P, Hegel M, Arndt S. Escitalopram and problem-solving therapy for prevention of poststroke depression: a randomized controlled trial.JAMA. 2008; 299:2391–2400. doi: 10.1001/jama.299.20.2391.CrossrefMedlineGoogle Scholar
  • 100. Xu J, Wang J, Liu J. Preventive effects of antidepressants on post-stroke depression.Chin Ment Health J. 2006; 20:186–188.Google Scholar
  • 101. Watkins CL, Wathan JV, Leathley MJ, Auton MF, Deans CF, Dickinson HA, Jack CI, Sutton CJ, van den Broek MD, Lightbody CE. The 12-month effects of early motivational interviewing after acute stroke: a randomized controlled trial.Stroke. 2011; 42:1956–1961. doi: 10.1161/STROKEAHA.110.602227.LinkGoogle Scholar
  • 102. Mikami K, Jorge RE, Moser DJ, Arndt S, Jang M, Solodkin A, Small SL, Fonzetti P, Hegel MT, Robinson RG. Increased frequency of first-episode poststroke depression after discontinuation of escitalopram.Stroke. 2011; 42:3281–3283. doi: 10.1161/STROKEAHA.111.626507.LinkGoogle Scholar

eLetters(0)

eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.

Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.