Can acute clinical outcomes predict health-related quality of life after stroke: a one-year prospective study of stroke survivors

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.

Gait speed at the acute phase predicted health-related quality of life at 3 and 12 months after stroke: a prospective cohort study

OBJECTIVE

To investigate the association between acute-phase gait speed and health-related quality of life (HRQoL) at 3 and 12 months post-stroke.

DESIGN

Prospective cohort study.

SUBJECTS/PATIENTS

1,475 patients with first-ever ischaemic stroke.

METHODS

The patients were divided into 3 groups according to tertiles of gait speed, namely ≤0.8, 0.8-1.1, ≥1.1 m/s. Gait speed was assessed by the 10-m walking test within 2 weeks of hospitalization for acute stroke and before the rehabilitation programme. HRQoL measurements include the 3-level EuroQol five dimensions (EQ-5D-3L) index and EuroQoL visual analogue scale (EQ-VAS) scores. Linear and logistic regression analyses were used to identify associations between gait speed and HRQoL.

RESULTS

Adjusted for all covariates, the highest gait speed tertile group were associated with higher EQ-5D-3L index (B = 0.0303 and B = 0.0228, respectively, p < 0.001), and higher EQ-VAS (B = 3.3038 and B = 3.8877, respectively, p < 0.001), and lower odds of having problems with mobility (OR = 2.55 [95% CI: 0.141-0.458] and 0.485 [0.289-0.812], respectively, p < 0.01), self-care (OR = 0.328 [95% CI: 0.167-0.646] and 0.412 [0.217-0.784], respectively, p < 0.01), and usual activities (OR = 0.353 [95% CI: 0.211-0.590] and 0.325 [0.198-0.536], respectively, p < 0.0001) at 3 and 12 months, and pain/discomfort at 12 months (OR = 0.558 [95% CI:0.335-0.930], p < 0.05).

CONCLUSION

Acute-phase gait speed was predictive of post-stroke HRQoL at 3 and 12 months, especially when associated with domain-specific EQ-5D-3L.

Functional independence measured in the acute phase of stroke predicts both generic and specific health-related quality of life: a 3-month prospective study in a middle-income country

PURPOSE

To identify acute predictors of both generic and specific health-related quality of life (HRQoL) 3 months after stroke in individuals from a middle-income country.

MATERIALS AND METHODS

A 3-month prospective study with individuals who had suffered their first stroke, without previous disability, discharged from a stroke unit. The dependent outcomes, assessed 3 months after stroke, were generic and specific HRQoL (SF-36 and SSQOL total scores, respectively). The predictors assessed in the stroke unit were age, sex, education level, duration of hospital stay, current living arrangement, stroke severity (National Institutes of Health Stroke Scale-NIHSS), functional independence (Modified Barthel Index-MBI), motor impairment (Fugl-Meyer Assessment), and lower- and upper-limb residual muscle strength deficits. Linear multiple regression analyses were employed to identify predictors of both generic (model-1) and specific (model-2) HRQoL (α = 5%).

RESULTS

One hundred twenty-six individuals were assessed at 3-month post-stroke (61.3 ± 13.6 years). Regression analysis showed that functional independence was the best predictor of both generic (R2 = 21%; F = 34.82; p < 0.001) and specific (R2 = 29%; F = 51.71; p < 0.001) HRQoL at 3-month post-stroke.

CONCLUSION

Both generic and specific HRQoL at 3-month post-stroke can be predicted by functional independence assessed in the acute phase with the MBI.

Individuals with stroke three months after hospital discharge reported worse quality of life during the COVID-19 pandemic

PURPOSE

To compare quality of life (QOL) of individuals with stroke three months after hospital discharge, using generic and specific QOL measures, before and during the COVID-19 pandemic.

METHODS

Individuals, who were admitted to a public hospital, were recruited and evaluated before (G1) and during (G2) the COVID-19 pandemic. The groups were matched for age, sex, socio-economic status, and levels of stroke severity (National Institutes of Health Stroke Scale) and functional dependence (Modified Barthel Index). After three months of hospital discharge, they were evaluated and compared using generic (Short-form Health Survey 36: SF-36) and specific (Stroke Specific Quality of Life: SSQOL) QOL measures.

RESULTS

Seventy individuals were included (35 in each group). Statistically significant between-group differences were found for both total SF-36 (p=0.008) and SSQOL (p=0.001) scores, indicating that individuals reported worse QOL during the COVID-19 pandemic. Furthermore, G2 also reported worse generic QOL related to the SF-36 domains of physical functioning, bodily pain, general health perception, and emotional role limitations (p < 0.01) and worse specific QOL related to following SSQOL domains: Family roles, mobility, mood, personality, and social roles (p < 0.05). Finally, G2 reported better QOL related to energy and thinking (p < 0.05) SSQOL domains.

CONCLUSION

In general, individuals with stroke, who were evaluated during the COVID-19 pandemic three months after hospital discharge, reported worse perceptions of QOL in several domains of both generic and specific QOL measures.

Factors affecting the quality of life after ischemic stroke in young adults: a scoping review

PURPOSE

To synthesize the body of knowledge on the factors influencing the quality of life (QoL) after ischemic stroke (IS) in young adults.

METHODS

Guidelines regarding the scoping review methodology developed by the Joanna Briggs Institute, and the PRISMA-ScR checklist for a scoping review was used in this paper. A total of 1197 studies were identified through a bibliographic search in Web of Science, MEDLINE, PsycInfo, ScienceDirect, Scopus, and ProQuest Science Database. Articles published between the years 2000-2021 were included.

RESULTS

A total of nine papers were finally selected to respond to the research question. Three studies were prospective longitudinal studies compared QoL between young stroke and age-matched controls from the general population. Across all the analysed studies, 14 variables potentially associated with QoL were identified. QoL in young patients is mainly affected by clinical outcomes after IS (scored by the modified Rankin scale and the Barthel index-favourable initial functional status and higher independence in ADL leads to higher QoL) and psychological factors (post-stroke fatigue and depression-higher levels of fatigue and depression lead to lower QoL). The reviewed studies emphasized the importance of functional outcomes, post-stroke depression, fatigue and anxiety and early return to work.

CONCLUSION

Further longitudinal studies are needed to identify the trajectory of post-stroke psychosocial symptoms over time and other potential predictors of unfavourable long-term QoL, thus specific young stroke rehabilitation and stroke self-management support programmes should be developed (address physical, psychological factors which influence the psychosocial adaptation post-stroke and the perception of the QoL).

The Associated Factors of Quality of Life among Stroke Survivors: A Study in Indonesia

Background: The prevalence and burden of stroke are still high, especially in low and middle-income countries. Stroke affects the economy and physics related to the Quality of Life (QoL). Various QoL-associated factors, including sociodemographic, functional outcome, emotional, and cognitive function, were studied. However, there was very limited information about the QoL-associated factors among stroke survivors in Semarang, Indonesia.Purpose: This study aimed to identify the QoL-associated factors among stroke survivors in Semarang, Indonesia.Methods: This cross-sectional study was conducted in outpatient services and involved 57 ischemic stroke survivors using convenience sampling. Demographic and clinical information were obtained using medical records and questionnaires. The questionnaires were the Short Version of Specific Stroke Quality of Life (SS-QoL) to measure QoL, GRID-HAMD 17 to measure Post Stroke Depression (PSD), Mini-Mental Status Examination (MMSE) to measure cognitive impairment, Barthel–Index (BI) to measure functional outcome, Hamilton Anxiety Rating Scale (HAM-A) to measure anxiety, and Multidimensional Scale of Perceived Social Support (MSPSS) to measure social support. Linear regression was conducted in the model performance of QoL-associated factors.Results: The stroke duration was 155(18) days, and 50.9% of participants were males. The linear regression showed that age (-.164 95% CI -.412 - .084), marital status (3.937 95% CI 1.010 - 6.864), functional outcome (.127 95% CI .013 - .241), PSD (-1.090 95% CI -2.144 - -.036), cognitive function (.308 95% CI -.482 - 1.098) and anxiety (-.408 95% CI -1.125 - .268) were QoL-predictors (p<.001, adjusted R2=52.1). It is assumed that age, marital status, functional outcome, PSD, cognition, and anxiety significantly predict the QoL among ischemic stroke survivors.Conclusion: The QoL-associated factors were age, marital status, functional outcome, PSD, cognition, and anxiety. These associated factors of QoL should be considered as elements in formulating nursing interventions that aim to improve the good QoL among stroke survivors.

Health State Utility Values in People With Stroke: A Systematic Review and Meta-Analysis

Background Health state utility values are commonly used to provide summary measures of health-related quality of life in studies of stroke. Contemporaneous summaries are needed as a benchmark to contextualize future observational studies and inform the effectiveness of interventions aimed at improving post-stroke quality of life. Methods and Results We conducted a systematic search of the literature using Medline, EMBASE, and Web of Science from January 1995 until October 2020 using search terms for stroke, health-related quality of life, and indirect health utility metrics. We calculated pooled estimates of health utility values for EQ-5D-3L, EQ-5D-5L, AQoL, HUI2, HUI3, 15D, and SF-6D using random effects models. For the EQ-5D-3L we conducted stratified meta-analyses and meta-regression by key subgroups. We screened 14 251 abstracts and 111 studies met our inclusion criteria (sample size range 11 to 12 447). EQ-5D-3L was reported in 78% of studies (study n=87; patient n=56 976). The pooled estimate for EQ-5D-3L at ≥3 months following stroke was 0.65 (95% CI, 0.63-0.67), which was ≈20% below population norms. There was high heterogeneity (I2>90%) between studies, and estimates differed by study size, case definition of stroke, and country of study. Women, older individuals, those with hemorrhagic stroke, and patients prior to discharge had lower pooled EQ-5D-3L estimates. Conclusions Pooled estimates of health utility for stroke survivors were substantially below population averages. We provide reference values for health utility in stroke to support future clinical and economic studies and identify subgroups with lower healthy utility. Registration URL: https://www.crd.york.ac.uk/prospero/. Unique Identifier: CRD42020215942.

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.

Health-related quality of life profiles and their dimension-specific associated factors among Malaysian stroke survivors: a cross sectional study

Background

Apart from maximizing functional abilities and independence after stroke, improving overall health-related quality of life (HRQoL) should also become part of the stroke treatment and rehabilitation process goals. This study aimed to assess the HRQoL profiles and explore the dimension-specific associated factors of HRQoL among stroke survivors.

Methods

This was a cross-sectional study of stroke survivors attending post-stroke care clinics in three public hospitals in the states of Pahang and Terengganu, Malaysia. The HRQoL was assessed by EuroQol-5 dimension-5 levels. Data on socio-demographic, clinical profiles, malnutrition risk, and physical activity level were collected through an interviewer-administered survey. Descriptive analyses for HRQoL profiles and multiple logistic regression analyses for its associated factors were performed. Crude and adjusted odds ratios were reported.

Results

A total of 366 stroke survivors were recruited with a mean age of 59 ± 11 years. The most -commonly reported health problems were mobility (85%), followed by usual activities (82%), pain/discomfort (63%), anxiety/depression (51%) and self-care (41%). The mean of the EQ visual analogue scale and the median of the EQ5D summary index was reported at 60.3 ± 14.2 and 0.67 ± 0.37, respectively. Malnutrition risk (mobility, usual activities, and self-care), wheelchair users (self-care and usual activities), speech impairment (usual activities and pain/discomfort), number of stroke episodes (self-care and pain/discomfort), body mass index, physical activity level and types of strokes (usual activities), age and use of a proxy (anxiety/depression), working and smoking status (mobility), were factors associated with either single or multiple dimensions of HRQoL.

Conclusion

Routine malnutrition screening, tailored program for speech therapy, prevention of recurrent stroke, and physical activity promotion should be addressed and further reinforced in current rehabilitation interventions to improve the HRQoL among stroke survivors in Malaysia.

Profiles of patients' self-reported health after acute stroke

BACKGROUND

We aimed to identify groups of patients with similar health status after stroke, assessed by patient reported outcome measures (PROMs), to improve initial risk stratification.

METHODS

In a prospective study, inpatients were recruited during acute stroke treatment. Demographics, history, and cardio-vascular risk factors were assessed at baseline. Self-reported functional status, physical and mental health as well as anxiety and depressive symptoms were assessed 3 and 12 months after stroke and used to identify latent classes. The association of patient characteristics with latent class membership was investigated with multinomial logistic regression.

RESULTS

Of the 650 patients included with a mean age of 75 years and 48% female, 70% had ischemic, 6% hemorrhagic strokes, and 24% transient ischemic attacks. Median NIHSS on admission was 2 (IQR:0,5). Values of PROMs remained comparable at 3 and 12 months. A three-class model was developed, differentiating between patients with mildly (75%), moderately (17%), and severely (8%) impaired self-reported health status. Adjusted for univariately significant baseline characteristics, initial NIHSS distinguished mild- from moderate-, and moderate- from severe-class-membership (p < 0.001). Length of inpatient stay (p < 0.001;OR = 1.1), diabetes (p = 0.021;OR = 1.91), and atrial fibrillation (p = 0.004;OR = 2.20) predicted allocation to the moderately vs. mildly affected class.

CONCLUSIONS

Grading stroke patients by a standard set of PROMs up to 1 year after stroke allows to distinguish the diverse impact of baseline characteristics on differently affected groups. In addition to initial stroke severity, longer inpatient stay, presence of diabetes and atrial fibrillation correlate with greater impairment of self-reported health in the less affected groups.

TRIAL REGISTRATION

http://www.ClinicalTrials.gov ; Unique identifier: NCT03795948 .

Influence of stroke infarct location on quality of life assessed in a multivariate lesion-symptom mapping study

Stroke has a deleterious impact on quality of life. However, it is less well known if stroke lesions in different brain regions are associated with reduced quality of life (QoL). We therefore investigated this association by multivariate lesion-symptom mapping. We analyzed magnetic resonance imaging and clinical data from the WAKE-UP trial. European Quality of Life 5 Dimensions (EQ-5D) 3 level questionnaires were completed 90 days after stroke. Lesion symptom mapping was performed using a multivariate machine learning algorithm (support vector regression) based on stroke lesions 22-36 h after stroke. Brain regions with significant associations were explored in reference to white matter tracts. Of 503 randomized patients, 329 were included in the analysis (mean age 65.4 years, SD 11.5; median NIHSS = 6, IQR 4-9; median EQ-5D score 90 days after stroke 1, IQR 0-4, median lesion volume 3.3 ml, IQR 1.1-16.9 ml). After controlling for lesion volume, significant associations between lesions and EQ-5D score were detected for the right putamen, and internal capsules of both hemispheres. Multivariate lesion inference analysis revealed an association between injuries of the cortico-spinal tracts with worse self-reported quality of life 90 days after stroke in comparably small stroke lesions, extending previous reports of the association of striato-capsular lesions with worse functional outcome. Our findings are of value to identify patients at risk of impaired QoL after stroke.

Adverse Events in Neurosurgery: The Novel Therapy-Disability-Neurology Grade

BACKGROUND

The most widely used classifications of adverse events (AEs) in neurosurgery define their severity according to the therapy used to treat them. This concept has substantial shortcomings because it does not reflect the severity of AEs that are not treated, such as new neurological deficits.

OBJECTIVE

To present a novel multidimensional and patient-centered classification of the severity of AE in neurosurgery and evaluate its applicability.

METHODS

The Therapy-Disability-Neurology (TDN) grading system classifies AEs depending on the associated therapy, disability, and neurological deficits. We conducted a 2-center retrospective observational study on 6071 interventions covering the whole neurosurgical spectrum with data prospectively recorded between 2013 and 2019 at 2 institutions from 2 countries.

RESULTS

Using the first patient cohort (4680 interventions), a positive correlation was found between severity of AE and LOS as well as treatment cost. Each grade was associated with a greater deterioration of the Karnofsky Performance Status Scale (KPS) at discharge and at follow-up. When using the same methods on the external validation cohort (1391 interventions), correlations between the grades of AE, LOS, and KPS at discharge were even more pronounced.

CONCLUSION

Our results suggest that the TDN grade is consistent with clinical and economic repercussions of AE and thus reflects AE severity. It is easily interpreted and enables comparison between different medical centers. The standardized report of the severity of AE in the scientific literature could constitute an important step forward toward a more critical, patient-centered, and evidence-based decision-making in neurosurgery.

Health-related quality of life, anxiety and depression up to 12 months post-stroke: Influence of sex, age, stroke severity and atrial fibrillation - A longitudinal subanalysis of the Find-AFRANDOMISED trial

BACKGROUND

Stroke can negatively impact the health-related quality of life (HRQoL). Anxiety or depression after stroke have been associated with poorer HRQoL, higher mortality and greater dependence in activities of daily living. We aimed to analyze HRQoL, anxiety and depressive symptoms in patients with and without atrial fibrillation (AF) up to 12 months post-stroke.

METHODS

Find-AF_RANDOMISED was a prospective, randomized multicenter study, which included 398 patients ≥60 years with acute cerebral ischemia. HRQoL data were collected using the 3-level EuroQol-5D (EQ-5D-3L) and Stroke Impact Scale (SIS-16). Anxiety and depressive symptoms were measured using the Hospital Anxiety and Depression Scale (HADS). The severity of stroke was measured using the modified Rankin Scale (mRS).

RESULTS

In this study (mean age 72.7 ± 7.5 years, 40.2% females), there was a significant improvement in HRQoL using EQ-5D-3L after 3 months (β = 0.37, p < .01), 6 months (β = 0.43, p < .01) and 12 months (β = 0.44, p < .01) post-stroke compared to baseline. HADS anxiety scores after 3 months (β = -0.22, p < .01) and 12 months (β = -0.28, p < .01) were significantly reduced. Older patients reported reduced HRQoL and more depressive symptoms. Females indicated lower HRQoL and more anxiety. mRS score at baseline was an independent predictor for HRQoL. There was a significant but small effect of AF on EQ-5D-3L and on HADS anxiety.

CONCLUSIONS

Patients showed significant improvement in HRQoL and reduced anxiety after 3 and 12 months after stroke. We could demonstrate that the severity of stroke as well as sex and age impact long-term post-stroke HRQoL.

CLINICAL TRIAL REGISTRATION

Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT01855035.

Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region

Background  Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase.

Objective  This study was aimed to identify the risk factors of QoL in stroke patients in the sub-Himalayan region.

Materials and Methods  A cross-sectional hospital-based study assessed the QoL among stroke patients within a week after the onset of acute stroke and then re-evaluated at 3 months. World Health Organization QoL-BREF, Beck Depression Inventory, the Barthel Index, and Montreal Cognitive Assessment (MOCA) were used to seek data on QoL, depression, cognitive, and functional dependence status, respectively. Appropriate statistics were used to compute the results.

Results  In total, 129 stroke patients recruited, out of which 102 returned to a 3-month follow-up. QoL, MOCA, disability index, and depression score were compared using Wilcoxon Singed-rank test. In multivariate analysis, depression and disability together predicted 60% of the variance for physical QoL ( p < 0.0001). Similarly, poststroke depression and disability together predicted 61% of the variance for psychological QoL ( p < 0.0001) in stroke patients.

Conclusion  Findings indicated that depression and disability are leading risk factors of QoL in stroke patients. Early identification of poststroke depression and functional dependence status is, therefore, essential to devise screening procedure and to develop targeted intervention to improve rehabilitation outcomes.

Health-related quality of life 90 days after stroke assessed by the International Consortium for Health Outcome Measurement standard set

BACKGROUND AND PURPOSE

Stroke has detrimental effects in multiple health domains not captured by routine scales. The International Consortium for Health Outcome Measurement has developed a standardized set for self-reported assessment to overcome this limitation. The aim was to assess this set in acute stroke care.

METHODS

Consecutive patients with acute ischaemic stroke, transient ischaemic attack or intracerebral hemorrhage were enrolled. Demographics, living situation and cardiovascular risk factors were collected from medical records and interviews. The Patient-reported Outcomes Measurement Information System 10-Question Short Form (PROMIS-10) and the Patient Health Questionnaire-4 (PHQ-4) were conducted 90 days after admission. Linear and logistic regression analyses were used to identify predictors of outcome. The study is registered at ClinicalTrials.gov, NCT03795948.

RESULTS

In all, 1064 patients were enrolled; mean age was 71.6 years, 51% were female, and median National Institutes of Health Stroke Scale (NIHSS) on admission was 3. Diagnosis was acute ischaemic stroke in 74%, transient ischaemic attack in 20% and intracerebral hemorrhage in 6%. 673 patients were available for outcome evaluation at 90 days; of these 90 (13%) had died. In survivors, t scores of PROMIS-10 physical and mental health were 40.3 ± 6.17 and 44.3 ± 8.63, compared to 50 ± 10 in healthy populations. 16% reported symptoms indicating depression or anxiety on the PHQ-4. Higher NIHSS, prior stroke and requiring help pre-stroke predicted lower values in physical and mental health scores. Higher NIHSS and diabetes were associated with anxiety or depression.

CONCLUSIONS

Integrated in the routine of acute stroke care, systematic assessment of patient-reported outcomes reveals impairments in physical and mental health. Main predictors are severity of stroke symptoms and comorbidities such as hypertension and diabetes.