Luis Ayerbe

Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis.

BACKGROUND Depression after stroke is a distressing problem that may be associated with other negative health outcomes. AIMS To estimate the natural history, predictors and outcomes of depression after stroke. METHOD Studies published up to 31 August 2011 were searched and reviewed according to accepted criteria. RESULTS Out of 13 558 references initially found, 50 studies were included. Prevalence of depression was 29% (95% CI 25-32), and remains stable up to 10 years after stroke, with a cumulative incidence of 39-52% within 5 years of stroke. The rate of recovery from depression among patients depressed a few months after stroke ranged from 15 to 57% 1 year after stroke. Major predictors of depression are disability, depression pre-stroke, cognitive impairment, stroke severity and anxiety. Lower quality of life, mortality and disability are independent outcomes of depression after stroke. CONCLUSION Interventions for depression and its potential outcomes are required.

Socioeconomic Status and Stroke An Updated Review

Background and Purpose— Rates of stroke incidence and mortality vary across populations with important differences between socioeconomic groups worldwide. Knowledge of existing disparities in stroke risk is important for effective stroke prevention and management strategies. This review updates the evidence for associations between socioeconomic status and stroke. Summary of Review— Studies were identified with electronic searches of MEDLINE and EMBASE databases (January 2006 to July 2011) and reference lists from identified studies were searched manually. Articles reporting the association between any measure of socioeconomic status and stroke were included. Conclusions— The impact of stroke as measured by disability-adjusted life-years lost and mortality rates is >3-fold higher in low-income compared with high- and middle-income countries. The number of stroke deaths is projected to increase by >30% in the next 20 years with the majority occurring in low-income countries. Higher incidence of stroke, stroke risk factors, and rates of stroke mortality are generally observed in low compared with high socioeconomic groups within and between populations worldwide. There is less available evidence of an association between socioeconomic status and stroke recurrence or temporal trends in inequalities. Those with a lower socioeconomic status have more severe deficits and are less likely to receive evidence-based stroke services, although the results are inconsistent. Poorer people within a population and poorer countries globally are most affected in terms of incidence and poor outcomes of stroke. Innovative prevention strategies targeting people in low socioeconomic groups are required along with effective measures to promote access to effective stroke interventions worldwide.

Natural History, Predictors, and Associations of Depression 5 Years After Stroke: The South London Stroke Register

Background and Purpose— The longer-term natural history of depression after stroke is poorly understood. We estimate frequency, predictors, and associations of depression up to 5 years after stroke in a population-based study. Methods— Data from 3689 patients registered in the South London Stroke Register 1995 to 2006 were used. Baseline data included age, sex, ethnicity, socioeconomic status, and stroke severity. At 3 months and at 1, 3, and 5 years, survivors were assessed for depression (Hospital Anxiety and Depression; depression subscale score >7 indicates depression), cognition, disability, activity, accommodation, employment, and social networks. Associations with depression were investigated with logistic regression. Data are reported with OR and 95% CI. Results— Depression frequencies were 33% (30%–36%), 28% (25%–30%), 32% (30%–35%), and 31% (27%–34%) at 3 months and at 1, 3, and 5 years after stroke, respectively. Forty-eight percent of patients were not depressed at any time point; 49% to 55% of depressed patients at 1 assessment remained depressed at follow-up; and 15% to 20% of patients at each assessment were new cases. Predictors of depression included stroke severity, inability to work, and impaired cognition. Associations with depression at follow-up included impaired cognition, lack of family support, institutionalization, inability to work, functional dependence, and low activity level. Conclusions— Frequency of depression up to 5 years after stroke is 30%; however, it is a dynamic situation with recovery and new cases diagnosed over time. These findings support the need for regular assessment of depression and its associated factors and for the development of effective interventions to reduce depression after stroke.

The Natural History of Depression up to 15 Years After Stroke The South London Stroke Register

Background and Purpose— Evidence on the natural history of depression after stroke is still insufficient to inform prognosis and treatment strategies. This study estimates the incidence, cumulative incidence, prevalence, time of onset, duration, and recurrence rate of depression up to 15 years after stroke. Methods— Data from patients registered in the South London Stroke Register between 1995 and 2009 were used (N=4022 at registration. Maximum number of participants for these analyses n=1233). Depression was assessed in all patients with the Hospital Anxiety and Depression Scale (scores >7=depression) 3 months after stroke, 1 year after stroke, and annually thereafter up to 15 years after stroke. Inverse probability weighting was used to calculate the estimates accounting for missing data. Results— The poststroke incidence of depression ranged from 7% to 21% in the 15 years after a stroke, with cumulative incidence of 55% and prevalence ranging from 29% to 39%. Most episodes of depression started within a year of stroke, with 33% of the cases starting in the 3 months after a stroke, and none from year 10 onward. Fifty percent of the patients with depression at 3 months had recovered 1 year after stroke. The proportion of recurrent episodes of depression after stroke increased gradually from 38% in year 2 to 100% in years 14 and 15. Conclusions— The natural history of depression after stroke is dynamic. Depression affects most of the stroke patients with episodes that have a short duration but a high risk of recurrence in the long term.

The long-term outcomes of depression up to 10 years after stroke; the South London Stroke Register

Background Post-stroke depression is a frequent chronic and recurrent problem that starts shortly after stroke and affects patients in the long term. The health outcomes of depression after stroke are unclear. Aims (1) To investigate the associations between depression at 3 months and mortality, stroke recurrence, disability, cognitive impairment, anxiety and quality of life (QoL), up to 5 years post-stroke. (2) To investigate these associations in patients recovering from depression by year 1. (3) To investigate associations between depression at 5 years and these outcomes up to 10 years. Methods Data from the South London Stroke Register (1997–2010) were used. Patients (n at registration=3240) were assessed at stroke onset, 3 months after stroke and annually thereafter. Baseline data included sociodemographics and stroke severity measures. Follow-up assessments included anxiety and depression (Hospital Anxiety and Depression scale), disability, QoL and stroke recurrence. Multivariable regression models adjusted for age, gender, ethnicity, stroke severity and disability were used to investigate the association between depression and outcomes at follow-up. Results Depression at 3 months was associated with: increased mortality (HR: 1.27 (1.04 to 1.55)), disability (RRs up to 4.71 (2.96 to 7.48)), anxiety (ORs up to 3.49 (1.71 to 7.12)) and lower QoL (coefficients up to −8.16 (−10.23−6.15)) up to year 5. Recovery from depression by 1 year did not alter these risks to 5 years. Depression in year 5 was associated with anxiety (ORs up to 4.06 (1.92 to 8.58)) and QoL (coefficients up to −11.36 (−14.86 to −7.85)) up to year 10. Conclusions Depression is independently associated with poor health outcomes.

Natural history, predictors and associated outcomes of anxiety up to 10 years after stroke: the South London Stroke Register

BACKGROUND evidence on the long-term natural history, predictors and outcomes of anxiety after stroke is insufficient to inform effective interventions. This study estimates within 10 years of stroke: (i) the incidence, cumulative incidence, prevalence, and time of onset of anxiety. (ii) Predictors of anxiety and its association with depression. (iii) The association between anxiety 3 months after stroke and mortality, stroke recurrence, disability, cognitive impairment and quality of life (QoL) at follow-up. METHODS data from the South London Stroke Register (1995-2010). Patients were assessed at the time of the stroke, at 3 months, 1 year and then annually for up to 10 years. Baseline data included socio-demographics and stroke severity. Follow-up data included assessments for anxiety and depression (hospital anxiety and depression scale), disability, cognition and QoL. Multivariate regression was used to investigate predictors and associated outcomes of anxiety. RESULTS incidence of anxiety up to 10 years ranged from 17 to 24%. Cumulative incidence: 57%. Prevalence range: 32-38%. Amongst patients with anxiety, 58% were anxious at 3 months. 57-73% of patients with anxiety had co-morbid depression. Predictors of anxiety included age under 65, female gender, inability to work, depression treatment, smoking and stroke severity. Anxiety at 3 months was associated with lower QoL at follow-up. CONCLUSIONS anxiety is a frequent problem affecting stroke survivors in the long term. Clinicians should pay attention to patients at risk of anxiety since it is associated with lower QoL and depression.

Explanatory factors for the increased mortality of stroke patients with depression

Objective: To identify explanatory factors for the association between depression and increased mortality up to 5 years after stroke. Methods: In this cohort study, data from the South London Stroke Register (1998–2013) were used. Patients (n = 3,722) were assessed at stroke onset. Baseline data included sociodemographics and stroke severity. Follow-up at 3 months included assessment for depression with the Hospital Anxiety and Depression Scale (scores ≥7 = depression). Associations between depression at 3 months and mortality within 5 years of stroke were estimated with Cox regression models adjusted for age, sex, ethnicity, and stroke severity, and subsequently adjusted for possible explanatory factors for the association. These factors, introduced into the model individually, included comorbidities at baseline, smoking and alcohol use, compliance with medication, treatment with selective serotonin reuptake inhibitors (SSRIs), social support, and activities of daily living at 3 months. Results: A total of 1,354 survivors were assessed at 3 months: 435 (32.1%) had depression and 331 (24.4%) died within 5 years. Survivors with depression had a greater risk of mortality (hazard ratio [HR] 1.41 [95% confidence interval (CI) 1.13–1.77]; p = 0.002). The association between depression and mortality was strongest in patients younger than 65 years. Adjustment for comorbidities, smoking and alcohol use, SSRI use, social support, and compliance with medication did not change these associations. SSRIs started after stroke were associated with higher mortality, independently of depression at 3 months (HR 1.72 [95% CI 1.34–2.20]; p < 0.001). Conclusion: Depression after stroke is associated with higher mortality, particularly among younger patients. Stroke survivors taking SSRIs have an increased mortality. The association between depression and mortality is not explained by other individual medical factors.

Improving anticoagulation in atrial fibrillation: observational study in three primary care trusts

BACKGROUND Atrial fibrillation (AF) is a cause of stroke, and undertreatment with anticoagulants is a persistent issue despite their effectiveness. AIM To increase the proportion of people with AF treated appropriately using anticoagulants, and reduce inappropriate antiplatelet therapy. DESIGN OF STUDY Cross-sectional analysis. SETTING Electronic patient health records on 4604 patients with AF obtained from general practices in three inner London primary care trusts between April 2011 and 2013. METHOD The Anticoagulant Programme East London (APEL) sought to achieve its aims through an intervention with three components: altering professional beliefs using new clinical guidance and related education; facilitating change using computer software to support clinical decisions and patient review optimising anticoagulation; motivating change through evaluative feedback showing individual practice performance relative to peers. RESULTS From April 2011 to April 2013, the proportion of people with CHA2DS2-VASc ≥1 on anticoagulants increased from 52.6% to 59.8% (trend difference P<0.001). The proportion of people with CHA2DS2-VASc ≥1 on aspirin declined from 37.7% to 30.3% (trend difference P<0.001). Comparing the 2 years before the intervention with the 2 years after, numbers of new people on the AF register almost doubled from 108 to 204. CONCLUSIONS The APEL programme supports improvement in clinical managing AF by a combined programme of education around agreed guidance, computer aids to facilitate decision-making and patient review and feedback of locally identifiable results. If replicated nationally over 3 years, such a programme could result in approximately 1600 fewer strokes every year.

Risk of incident cardiovascular events amongst individuals with anxiety and depression: A prospective cohort study in the east London primary care database

BACKGROUND It is unknown how risk of myocardial infarction and stroke differ for patients with and without anxiety or depression, and whether this risk can be explained by demographics, medication use, cardiovascular risk factors. The aim of this study is to quantify differences in risk of non-fatal MI or stroke among patients with anxiety or depression. METHODS Prospective cohort study examining risk of incident MI and stroke between March 2005 and March 2015 for 524,952 patients aged 30 and over from the east London primary care database for patients with anxiety or depression. RESULTS Amongst 21,811 individuals with depression at baseline, 1.2% had MI and 0.4% had stroke. Of 22,128 individuals with anxiety at baseline, 1.1% had MI and 0.3% had stroke. Depression was independently associated with both MI and stroke, whereas anxiety was associated with MI only before adjustment for cardiovascular risk factors. Antidepressant use increased risk for MI but not stroke. Mean age at first MI was lower in those with anxiety, while mean age at first stroke was lower in those with depression. LIMITATIONS The study was limited to patients currently registered in the database and thus we did not have any patients that died during the course of follow-up. CONCLUSIONS Patients with depression have increased risk of cardiovascular events. The finding of no increased cardiovascular risk in those with anxiety after adjusting for cardiovascular risk factors is of clinical importance and highlights that the adequate control of traditional risk factors is the cornerstone of cardiovascular disease prevention. Targeting management of classical cardiovascular risk factors and evaluating the risks of antidepressant prescribing should be prioritized.

Clinical assessment of patients with chest pain; a systematic review of predictive tools

BackgroundThe clinical assessment of patients with chest pain of recent onset remains difficult. This study presents a critical review of clinical predictive tools for the assessment of patients with chest pain.MethodsSystematic review of observational studies and estimation of probabilities of coronary artery disease (CAD) in patients with chest pain. Searches were conducted in PubMed, Embase, Scopus, and Web of Science to identify studies reporting tools, with at least three variables from clinical history, physical examination or ECG, produced with multivariate analysis, to estimate probabilities of CAD in patients with chest pain of recent onset, published from inception of the database to the 31st July 2015. The references of previous relevant reviews were hand searched. The methodological quality was assessed with standard criteria. Since the incidence of CAD has changed in the past few decades, the date of publication was acknowledged to be relevant in order to use the tool in clinical practice, and more recent papers were considered more relevant. Probabilities of CAD according to the studies of highest quality were estimated and the evidence provided was graded.ResultsTwelve papers were included out of the 19126 references initially identified. The methodological quality of all of them was high. The clinical characteristics of the chest pain, age, past medical history of cardiovascular disease, gender, and abnormalities in the ECG were the predictors of CAD most commonly reported across the studies. The most recent papers, with highest methodological quality, and most practical for use in clinical settings, reported prediction or exclusion of CAD with area under the curve 0.90 in Primary Care, 0.91 in Emergency department, and 0.79 in Cardiology. These papers provide evidence of high level (1B) and the recommendation to use their results in the management of patients with chest pain is strong (A).ConclusionsThe risk of CAD can be estimated on clinical grounds in patients with chest pain in different clinical settings with high accuracy. The estimation of probabilities of CAD presented in these studies could be used for a better management of patients with chest pain and also in the development of future predictive tools.