A review of health utilities using the EQ-5D in studies of cardiovascular disease

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.Abstract Background The EQ-5D has been extensively used to assess patient utility in trials of new treatments within the cardiovascular field. The aims of this study were to review evidence of the validity and reliability of the EQ-5D, and to summarise utility scores based on the use of the EQ-5D in clinical trials and in studies of patients with cardiovascular disease. Methods A structured literature search was conducted using keywords related to cardiovascular disease and EQ-5D. Original research studies of patients with cardiovascular disease that reported EQ-5D results and its measurement properties were included. Results Of 147 identified papers, 66 met the selection criteria, with 10 studies reporting evidence on validity or reliability and 60 reporting EQ-5D responses (VAS or self-classification). Mean EQ-5D index-based scores ranged from 0.24 (SD 0.39) to 0.90 (SD 0.16), while VAS scores ranged from 37 (SD 21) to 89 (no SD reported). Stratification of EQ-5D index scores by disease severity revealed that scores decreased from a mean of 0.78 (SD 0.18) to 0.51 (SD 0.21) for mild to severe disease in heart failure patients and from 0.80 (SD 0.05) to 0.45 (SD 0.22) for mild to severe disease in angina patients. Conclusions The published evidence generally supports the validity and reliability of the EQ-5D as an outcome measure within the cardiovascular area. This review provides utility estimates across a range of cardiovascular subgroups and treatments that may be useful for future modelling of utilities and QALYs in economic evaluations within the cardiovascular area.Published versio

Mapping of the EQ-5D index from clinical outcome measures and demographic variables in patients with coronary heart disease.

RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.BACKGROUND: The EuroQoL 5D (EQ-5D) is a questionnaire that provides a measure of utility for cost-effectiveness analysis. The EQ-5D has been widely used in many patient groups, including those with coronary heart disease. Studies often require patients to complete many questionnaires and the EQ-5D may not be gathered. This study aimed to assess whether demographic and clinical outcome variables, including scores from a disease specific measure, the Seattle Angina Questionnaire (SAQ), could be used to predict, or map, the EQ-5D index value where it is not available. METHODS: Patient-level data from 5 studies of cardiac interventions were used. The data were split into two groups - approximately 60% of the data were used as an estimation dataset for building models, and 40% were used as a validation dataset. Forward ordinary least squares linear regression methods and measures of prediction error were used to build a model to map to the EQ-5D index. Age, sex, a proxy measure of disease stage, Canadian Cardiovascular Society (CCS) angina severity class, treadmill exercise time (ETT) and scales of the SAQ were examined. RESULTS: The exertional capacity (ECS), disease perception (DPS) and anginal frequency scales (AFS) of the SAQ were the strongest predictors of the EQ-5D index and gave the smallest root mean square errors. A final model was chosen with age, gender, disease stage and the ECS, DPS and AFS scales of the SAQ. ETT and CCS did not improve prediction in the presence of the SAQ scales. Bland-Altman agreement between predicted and observed EQ-5D index values was reasonable for values greater than 0.4, but below this level predicted values were higher than observed. The 95% limits of agreement were wide (-0.34, 0.33). CONCLUSIONS: Mapping of the EQ-5D index in cardiac patients from demographics and commonly measured cardiac outcome variables is possible; however, prediction for values of the EQ-5D index below 0.4 was not accurate. The newly designed 5-level version of the EQ-5D with its increased ability to discriminate health states may improve prediction of EQ-5D index values

Neural responses to facial emotions and subsequent clinical outcomes in difficult-to-treat depression

Background: Amygdala and dorsal anterior cingulate cortex responses to facial emotions have shown promise in predicting treatment response in medication-free major depressive disorder (MDD). Here, we examined their role in the pathophysiology of clinical outcomes in more chronic, difficult-to-treat forms of MDD.Methods: Forty-five people with current MDD who had not responded to ≥2 serotonergic antidepressants (n=42, meeting pre-defined fMRI minimum quality thresholds) were enrolled and followed up over four months of standard primary care. Prior to medication review, subliminal facial emotion fMRI was used to extract blood-oxygen level-dependent effects for sad vs. happy faces from two pre-registered a priori defined regions: bilateral amygdala and dorsal/pregenual anterior cingulate cortex. Clinical outcome was the percentage change on the self-reported Quick Inventory of Depressive Symptomatology (16-item).Results: We corroborated our pre-registered hypothesis (NCT04342299) that lower bilateral amygdala activation for sad vs. happy faces predicted favourable clinical outcomes (rs[38]=.40, p=.01). In contrast, there was no effect for dorsal/pregenual anterior cingulate cortex activation (rs[38]=.18, p=.29), nor when using voxel-based whole-brain analyses (voxel-based Family-Wise Error-corrected p<.05). Predictive effects were mainly driven by the right amygdala whose response to happy faces was reduced in patients with higher anxiety levels.Conclusions: We confirmed the prediction that a lower amygdala response to negative vs. positive facial expressions might be an adaptive neural signature, which predicts subsequent symptom improvement also in difficult-to-treat MDD. Anxiety reduced adaptive amygdala responses

‘Emotion is of the essence. … Number one priority’: A nested qualitative study exploring psychosocial adjustment to stroke and aphasia

Background: Stroke and aphasia can have a profound impact on people's lives, and depression is a common, frequently persistent consequence. Social networks also suffer, with poor social support associated with worse recovery. It is essential to support psychosocial well-being post-stroke, and examine which factors facilitate successful adjustment to living with aphasia. Aims: In the context of a feasibility randomized controlled trial of peer-befriending (SUPERB), this qualitative study explores adjustment for people with aphasia in the post-acute phase of recovery, a phase often neglected in previous research. Methods & Procedures: Semi-structured interviews were conducted with 20 people with aphasia and 10 significant others, who were purposively sampled from the wider group of 56 people with aphasia and 48 significant others. Interviews took place in participants’ homes; they were analysed using framework analysis. Outcomes & Results: Participants with aphasia were 10 women and 10 men; their median (interquartile range—IQR) age was 70 (57.5–77.0) years. Twelve participants had mild aphasia, eight moderate–severe aphasia. Significant others were six women and four men with a median (IQR) age of 70.5 (43–79) years. They identified a range of factors that influenced adjustment to aphasia post-stroke. Some were personal resources, including mood and emotions; identity/sense of self; attitude and outlook; faith and spirituality; and moving forward. Significant others also talked about the impact of becoming carers. Other factors were external sources of support, including familial and other relationships; doctors, nurses and hospital communication; life on the ward; therapies and therapists; psychological support, stroke groups; and community and socializing. Conclusions & Implications: To promote adjustment in the acute phase, hospital staff should prioritize the humanizing aspects of care provision. In the post-acute phase, clinicians play an integral role in supporting adjustment and can help by focusing on relationship-centred care, monitoring mental health, promoting quality improvement across the continuum of care and supporting advocacy. What this paper adds What is already known on the subject Anxiety and depression are common consequences of stroke, with depression rates high at 33% at 1 year post-onset. There is evidence that the psychological needs of people with aphasia are even greater than those of the general stroke population. Social support and social networks are also negatively impacted. Few studies have examined adjustment when people are still in hospital or in the early stages of post-stroke life in the community (< 6 months). Further, many stroke studies exclude people with aphasia. What this paper adds to existing knowledge Adjustment to living with stroke and aphasia begins in the early stages of recovery. While this partly depends on personal resources, many factors depend on external sources of help and support. These include doctors, nurses and hospital communication, their experience of life on the ward, and their therapists’ person-centred care. What are the potential or actual clinical implications of this work? Clinicians play an integral role in facilitating people with aphasia to utilize their personal resources and support systems to adjust to life after stroke. They can help by focusing on relationship-centred care, monitoring mental health, promoting quality improvement across the continuum of care and supporting advocacy