Predictors of quality of life 1 year after minor stroke or TIA: a prospective single-centre cohort study

Association of Genetically Predicted Anxiety and Depression With Functional Outcome After Ischemic Stroke: A Mendelian Randomization Study

BACKGROUND AND OBJECTIVES

Anxiety and depression have implications for ischemic stroke recovery. This study explored the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke using Mendelian randomization (MR) approach.

METHODS

Independent genetic variants associated with anxiety and depression at genome-wide significance level (p < 5 × 10-8) were obtained from large-scale genome-wide association studies (Nmax = 1,306,354). Genetic results of poststroke outcome were obtained from Genetics of Ischemic Stroke Functional Outcome meta-analysis (N = 6,021). Three months after ischemic stroke event, the functional outcome was appraised with the modified Rankin Scale (mRS) score, and a mRS >2 was defined as worse functional outcome. Odds ratios (ORs) and 95% CIs are reported for the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke. The inverse-variance weighted method was adopted to pool estimates. Alternative MR methods such as the weighted median and MR using the Robust Adjusted Profile Score were used as sensitivity analyses. The intercept of MR-Egger regression was also adopted to assess pleiotropy. The heterogeneity among variants was assessed by I2 and Q statistics.

RESULTS

Genetic liability to depression was associated with worse functional outcome after stroke (mRS 3-6, OR 2.30; 95% CI 1.18-4.49, p = 0.015). Sensitivity analyses produced consistent results. The bidirectional MR analysis indicates that poststroke outcome did not influence liability to depression (OR 1.01, 95% CI 0.99-1.03; p = 0.436). By comparison, genetic liability to anxiety was not related with poststroke outcome (OR 1.03; 95% CI 0.71-1.50; p = 0.869). Analyses in models without adjustment for stroke severity also indicated that genetic liability to depression was related with poor functional outcome after ischemic stroke (OR 2.54; 95% CI 1.41-4.58; p = 0.002). No evidence of heterogeneity or directional pleiotropy was observed (p > 0.05).

DISCUSSION

Our MR study provides evidence to support detrimental effects of depression on ischemic stroke functional outcome. Future studies are warranted to explore whether clinical intervention on depression can ameliorate functional outcome after ischemic stroke.

Predictors of health-related quality of life one year after stroke: a systematic review with meta-analysis

The objective was to investigate, through a systematic review, which independent variables predict health-related quality of life (HRQoL) one year after stroke. Searches were conducted in LILACS, MEDLINE, Scielo, Web of Science, and PEDro. The inclusion criteria were observational longitudinal studies, which included at least one independent variable measured at baseline, as a potential predictor of HRQoL measured 12 months after stroke. The predictors of interest were variables across all domains of the International Classification of Function, Disability and Health. The quality of evidence was rated according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE). A total of 17 papers were included, involving 8338 participants, and 10 possible predictors of the HRQoL one year after stroke. The meta-analysis was performed for six of them (cognition, depression, neurological deficit, stroke severity, motor impairment, and limitation in activities of daily living), and significant results were found only for limitation in activities of daily living (odds ratio, 1.30 [95% confidence interval, 1.09-1.57]; I2  = 72%; P  < 0.01). The descriptive analysis of the remaining four predictors suggested a significant predictive value of balance and functional independence, whereas the results for trunk control were not significant and for social participation were unclear. In conclusion, individuals within the first 11.5 weeks after stroke with lower limitation in activities of daily living, higher functional independence, and better balance, are more likely to have a higher HRQoL one year after stroke. Thus, these predictors, all modifiable factors, need to be targeted during acute rehabilitation.

Acute clinical outcomes predict both generic and specific health-related quality of life six and 12 months after stroke: A one-year prospective study developed in a middle-income country

OBJECTIVE

To identify acute predictors of generic and specific health-related quality of life (HRQoL) six and 12 months after stroke in individuals from a middle-income country.

MATERIAL AND METHODS

This was a prospective study. The dependent outcomes assessed during six and 12 months after stroke included both generic and specific HRQoL (Short Form Health Survey-36 [SF-36] and stroke-specific quality of life [SSQOL]). The predictors were age, sex, education level, length of hospital stay, current living arrangement, stroke severity, functional independence, and motor impairment.

RESULTS

122 (59.9±14 years) and 103 (59.8±14.71 years) individuals were evaluated six and 12 months after stroke, respectively. Functional independence and sex were significant acute predictors of both generic and specific HRQoL. Functional independence was the strongest predictor (0.149≤R2≤0.262; 20.01≤F≤43.96, p<0.001), except for generic HRQoL at 12 months, where sex was the strongest predictor (R2=0.14; F=17.97, p<0.001).

CONCLUSION

Generic and specific HRQoL in chronic individuals six and 12 months after stroke, from a middle-income country, can be predicted based on functional independence, the strongest predictor, assessed in the acute phase, except for generic HRQoL at 12 months. Functional independence can be modified by rehabilitation strategies and thus should be considered for HRQoL prognoses at chronic phase.

Quality of Life in Patients with Excellent 3-Month Clinical Outcome after First-Ever Ischemic Stroke: A Time to Redefine Excellent Outcome?

INTRODUCTION

Ischemic stroke (IS) may have impact on long-term health-related quality of life (HRQoL) even in the patients with good clinical outcome, and tools mostly used for the assessment of outcome may underestimate or not reflect all relevant sequels after IS. We aimed to analyze HRQoL in the patients with excellent outcome after IS.

METHODS

We analyzed consecutive IS patients enrolled in the prospective FRAILTY study (ClinicalTrials.gov: NCT04839887) with excellent 3-month clinical outcome (score 0-1 in modified Rankin Scale [mRS]). Stroke Impact Scale (SIS) version 3.0 and Hospital Anxiety and Depression Scale (HADS) were used for the HRQoL, anxiety, and depression assessments, and subgroup comparisons were performed according to NIHSS score (0, ≥1), age (50<, ≥50 years), and sex.

RESULTS

In total, 158 patients (55.7% men, mean age 60.3 ± 13.4 years) were analyzed, and 72.2% of them had score 0 in mRS. The overall lowest median scores were found in the SIS domain "emotion," "strength," and "participation." Patients with NIHSS ≥1 had lower scores in all SIS domains except "emotions" and "mobility." Patients ≥50 years had lower score in "mobility" (p = 0.004) and females in domain of "social participation" (p = 0.044). No differences were found among all subgroups in HADS anxiety and depression. Age, NIHSS score, and depression were found negative predictors for the physical domains of HRQoL.

DISCUSSION/CONCLUSIONS

Despite excellent 3-month clinical outcome after IS, patients had affected substantially their HRQoL, especially those with NIHSS ≥1. Patients ≥50 years had more affected "mobility" and females "social participation."

Impact of depression on stroke outcomes among stroke survivors: Systematic review and meta-analysis

BACKGROUND

Depression may negatively affect stroke outcomes and the progress of recovery. However, there is a lack of updated comprehensive evidence to inform clinical practice and directions of future studies. In this review, we report the multidimensional impact of depression on stroke outcomes.

METHODS

Data sources. PubMed, PsycINFO, EMBASE, and Global Index Medicus were searched from the date of inception. Eligibility criteria. Prospective studies which investigated the impact of depression on stroke outcomes (cognition, returning to work, quality of life, functioning, and survival) were included. Data extraction. Two authors extracted data independently and solved the difference with a third reviewer using an extraction tool developed prior. The extraction tool included sample size, measurement, duration of follow-up, stroke outcomes, statistical analysis, and predictors outcomes. Risk of bias. We used Effective Public Health Practice Project (EPHPP) to assess the quality of the included studies.

RESULTS

Eighty prospective studies were included in the review. These studies investigated the impact of depression on the ability to return to work (n = 4), quality of life (n = 12), cognitive impairment (n = 5), functioning (n = 43), and mortality (n = 24) where a study may report on more than one outcome. Though there were inconsistencies, the evidence reported that depression had negative consequences on returning to work, functioning, quality of life, and mortality rate. However, the impact on cognition was not conclusive. In the meta-analysis, depression was associated with premature mortality (HR: 1.61 (95% CI; 1.33, 1.96)), and worse functioning (OR: 1.64 (95% CI; 1.36, 1.99)).

CONCLUSION

Depression affects many aspects of stroke outcomes including survival The evidence is not conclusive on cognition and there was a lack of evidence in low-income settings. The results showed the need for early diagnosis and intervention of depression after stroke. The protocol was pre-registered on the International Prospective Register of Systematic Review (PROSPERO) (CRD42021230579).

Health-related quality of life in stroke survivors: a 5-year follow-up of The Fall Study of Gothenburg (FallsGOT)

BACKGROUND

There are limited data on long-term prevalence and predictors of health-related quality of life (HRQoL) in stroke survivors. Therefore, the aim was to describe the prevalence of impaired HRQoL, and to identify factors in acute stroke that are associated with impaired HRQoL, 5 years after stroke.

METHODS

The 305 (60.5%) stroke survivors of the original 504 participants from The Fall Study of Gothenburg were invited to participate in a 5-year follow-up including assessment of HRQoL using the EuroQol 5 Dimensions 3 Levels questionnaire (EQ-5D-3L). To identify baseline predictors of impaired HRQoL, based on the EQ-5D-3L's five dimensions, univariate and multivariate logistic regression analyses were performed.

RESULTS

A total of 129 participants (42.3% of the survivors) completed the questionnaire at a median follow-up time of 58 months. At baseline, their mean age was 70.6 years, and they had a median NIHSS score of 1. The median (interquartile range [IQR]) EQ-5D-3L index score was 0.87 (0.71-0.93) and the median (IQR) EQ-visual analogue scale was 70 (49.8-88). In total, 102 (79%) participants were classified as having impaired HRQoL, stated primarily (among 68.5%) related to Pain/Discomfort. Higher age was identified as a predictor of impaired HRQoL related to Mobility (Odds ratio (OR) 1.05, 95% confidence interval (CI) 1.01-1.10) and Self-Care (OR 1.09, 95% CI 1.02-1.17), and longer hospital stay at baseline was identified as a predictor related to Mobility (OR 1.09, 95% CI 1.01-1.18), Self-Care (OR 1.10, 95% CI 1.02-1.18)) and Usual Activities. (OR 1.10, 95% CI 1.03-1.18).

CONCLUSION

At 5 years after stroke, four out of five participants (79%) reported impaired HRQoL related to any of the five dimensions assessed by using the EQ-5D-3L. Most reported, impaired HRQoL was related to Pain/Discomfort. Higher age and longer hospital care period at index stroke were associated with impaired HRQoL. The findings could assist to identify individuals at high risk of low HRQoL, who might benefit from special attention and psychological support.

The Association of Spirituality with Anxiety and Depression in Stroke Survivor-Caregiver Dyads: An Actor-Partner Interdependence Model

BACKGROUND

Although several authors have analyzed the effects of spirituality on stroke survivors' physical functioning and on their own caregiver's outcomes, such as quality of life, only few authors have explored the interaction between spirituality and anxiety and depression using a dyadic approach.

OBJECTIVES

The aim of this study was to analyze the influence of spirituality in the stroke survivor-caregiver dyad and specifically on anxiety and depression in both parties.

METHODS

A total of 217 stroke survivor-caregiver dyads were enrolled at discharge from several rehabilitation hospitals in central and southern Italy. The actor-partner interdependence model was used to analyze the dyadic data. To verify the differences in the effects between survivors and caregivers, comparisons were made between the χ 2 values of the model in which actor and partner effects were constrained to be equal.

RESULTS

The average age of stroke survivors and their caregivers at baseline was 71.2 and 52.7 years, respectively. Among the stroke survivors, there were slightly more men than women, whereas 65% of the caregivers were women. Most stroke survivors had had an ischemic stroke. Four statistically significant actor effects were identified. Higher survivors' and caregivers' spirituality was associated with higher survivor and caregiver anxiety. The only significant partner effect that was identified was the association between stroke survivor spirituality and caregiver depression.

CONCLUSIONS

This study highlights the importance of studying spirituality in the population with stroke. Spirituality seems to play an important protective role in both stroke survivors' and caregivers' depression but not in anxiety.

A review of the quality and content of mobile apps to support lifestyle modifications following a transient ischaemic attack or 'minor' stroke

Objective

Secondary prevention is recommended to reduce cardiovascular risk after transient ischaemic attack (TIA) or ‘minor’ stroke. Mobile health interventions can provide accessible, cost-effective approaches to address modifiable risk factors, such as physical inactivity, hypertension and being overweight. The objective of this study was to evaluate the quality of apps for supporting lifestyle change following a TIA or ‘minor’ stroke.

Methods

Systematic searches of Google Play and the Apple Store were carried out to identify mobile apps released between 1 November 2019 and 1 October 2021. Keywords were used including stroke, TIA, lifestyle, prevention and recovery. Quality was assessed using the Mobile Application Rating Scale (MARS). Common components were identified with the Behaviour Change Technique (BCT) Taxonomy. Descriptive statistics were used to summarize the performance results for each app.

Results

Searches identified 2545 potential apps. Thirty remained after removing duplicates and screening titles and descriptions. Six were eligible after full review of their content. All apps included at least one BCT (range: 1–16 BCTs). The most frequent BCTs included ‘information about health consequences’ (n = 5/6), ‘verbal or visual communication from a credible source’ (n = 4/6) and ‘action planning’ (n = 4/6). The mean MARS score was 2.57/5 (SD: 0.51; range: 1.78–3.36). No apps were of ‘good’ overall quality (scoring more than 4/5).

Conclusions

This is the first review of mobile health interventions for this population. Only a small number of apps were available. None were targeted specifically at people with a TIA or ‘minor’ stroke. Overall quality was low. Further work is needed to develop and test accessible, user designed, and evidence-informed digital interventions in this population.

Predictive Model for Quality of Life in Patients 1 Year After First Stroke

BACKGROUND

Because the recurrence rate of stroke increases 1 year after its initial occurrence, it is important to predict quality of life at this stage, although most functions are likely recovered.

OBJECTIVES

We aimed to construct and verify a model of quality of life in patients 1 year post stroke by considering their characteristics at the time of the stroke based on the Wilson and Cleary model and previous literature.

METHODS

Participants comprised 288 patients who had experienced their first ischemic stroke and were enrolled in 3 regional stroke centers in South Korea. Data were analyzed using path analysis to identify a model of patients' quality of life 1 year post stroke.

RESULTS

Age, National Institutes of Health Stroke Scale score, the modified Rankin Scale score, and anxiety had a direct effect on quality of life, whereas type D personality and social support had an indirect effect. Type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety explained 32.9% of the total variance in quality of life.

CONCLUSIONS

When predicting quality of life in a patient 1 year after a stroke, it is important to consider variables such as type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety at the time of the first stroke. Interventions to improve the quality of life of patients with stroke should consider these factors.

Longitudinal study of quality of life in acquired brain injury: A self- and proxy-report evaluation

After an acquired brain injury (ABI), the person remains with several impairments and disabilities that cause a decrease in his/her quality of life (QoL), which could change over time. The objective of the study was to analyse the evolution patterns of QoL in a sample of persons with ABI for one-year as well as the differences in proxy- and self-report versions of a QoL instrument. Method: The sample comprised 402 persons with ABI with ages ranging between 18 and 91 years, whom 36.20% had had the accident recently (i.e., three years or less). Patients, professionals and relatives responded at three evaluation points to the CAVIDACE scale, an ABI-specific QoL tool. Results: ANOVAs showed an improvement in QoL in the two follow-ups; the improvement was especially significant in the period between baseline and six months. The respondent factor did not interact with the evaluation time, but significant differences were found between respondents, with scores of patients higher than that for proxies. Finally, the QoL’s evolution interacts with the time elapsed since injury, showing significant improvements in the most recent group (i.e., three years or less). Conclusions: QoL must be considered from the earliest moments after ABI to obtain more significant improvements.

Predictive Factors of Self-Reported Quality of Life in Acquired Brain Injury: One-Year Follow-Up

Background: The sequelae and disabilities that follow an acquired brain injury (ABI) may negatively affect quality of life (QoL). The main objective of the study is to describe the QoL after an ABI and identify the predictors of a better QoL. Methods: Prospective cohort study with follow-up measurement after one-year. The sample comprised 203 adults with ABIs (64% male) aged 18–86 years (M = 53.01, SD = 14.44). Stroke was the main etiology of the injury (55.7%), followed by a TBI (32.8%), and the average time since injury was 8 years (M = 8.25, SD = 7.83, range = 0.5–47.5). Patients assessed their QoL through the scale Calidad de Vida en Daño Cerebral (CAVIDACE self-reported version; “quality of life in brain injury” in English), an ABI-specific tool based on the eight-domain QoL model. Other variables measured were: depression, self-awareness, community integration, resilience, and social support at baseline and one-year follow-up. Results: The studied factors showed few significant changes over time. The analyses showed statistically significant differences in QoL scores in several sociodemographic (age, civil status, education, legal capacity, and dependency), injury-related (time, location, and comorbidity), rehabilitation, and personal-social variables (self-awareness, depression, social support, resilience, and community integration). The levels of dependency, depression, and satisfaction with social support were independent predictors of the total QoL score one-year follow-up. Conclusions: QoL after ABI depends on multiple elements that must be considered. There are factors such as satisfaction with social support, depression, community integration, and resilience that must be monitored throughout the rehabilitation process.

Usability and Acceptability of a Novel Secondary Prevention Initiative Targeting Physical Activity for Individuals after a Transient Ischaemic Attack or "Minor" Stroke: A Qualitative Study

Behavioural interventions that address cardiovascular risk factors such as physical inactivity and hypertension help reduce recurrence risk following a transient ischaemic attack (TIA) or "minor" stroke, but an optimal approach for providing secondary prevention is unclear. After developing an initial draft of an innovative manual for patients, aiming to promote secondary prevention following TIA or minor stroke, we aimed to explore views about its usability and acceptability amongst relevant stakeholders. We held three focus group discussions with 18 participants (people who had experienced a TIA or minor stroke (4), carers (1), health professionals (9), and researchers (4). Reflexive thematic analysis identified the following three inter-related themes: (1) relevant information and content, (2) accessibility of format and helpful structure, and (3) strategies to optimise use and implementation in practice. Information about stroke, medication, diet, physical activity, and fatigue symptoms was valued. Easily accessed advice and practical tips were considered to provide support and reassurance and promote self-evaluation of lifestyle behaviours. Suggested refinements of the manual's design highlighted the importance of simplifying information and providing reassurance for patients early after a TIA or minor stroke. Information about fatigue, physical activity, and supporting goal setting was viewed as a key component of this novel secondary prevention initiative.