Association between Anxiety and Functional Outcomes in Patients with Stroke: A 1-Year Longitudinal Study

Understanding the role of illness perceptions in the relationship between cognitive and emotional difficulties after stroke

ABSTRACTEmotional difficulties are common after stroke and up to one third of stroke-survivors develop post-stroke depression. Psychological distress in this population remains poorly understood, despite high prevalence and secondary implications. One established predictor of depressive symptoms after stroke is cognitive impairment, however, the mechanism underlying this relationship is unclear. This research investigated the potential role of stroke-related illness appraisals as a mediating factor to this known association. Seventy-seven participants, aged 45-94, were consecutively recruited from inpatient stroke units in Oxfordshire over 15-months and completed assessments of mood, cognition and illness appraisals, which were analyzed cross-sectionally. As expected, cognitive impairment significantly predicted depressive symptoms. Importantly, this relationship was shown to be mediated by perceptions of threat and control. Higher levels of cognitive impairment were significantly associated with lower perceived control and higher perceived threat, which partially explained the relationship between cognitive impairment and depressive symptoms. Perceptions of illness coherence were predictive of depressive symptoms but not associated with degree of cognitive impairment. This research has implications for the management of cognitive impairment in the early stages after stroke and suggests that illness appraisals may be an important intervention target for reducing depressive symptoms in patients with post-stroke cognitive impairments.

Domain-specific cognitive impairments, mood and quality of life 6 months after stroke

PURPOSE

To identify which acute and 6-month domain-specific cognitive impairments impact mood, participation, and stroke-related quality of life 6 months post-stroke.

MATERIALS AND METHODS

A prospective cohort of 430 stroke survivors completed the Oxford Cognitive Screen (OCS) acutely and 6 months post-stroke. Participants completed the Stroke Impact Scale (SIS) and Hospital Depression and Anxiety Scale (HADS) at 6 months. Multivariable regression analyses assessed whether severity of, and domain-specific, cognitive impairment acutely and at 6 months was associated with composite 6-month SIS scores, each SIS subscale, and HADS scores.

RESULTS

Increased severity of acute and 6-month cognitive impairment was associated with lower 6-month SIS composite scores independent of age, sex, education years, and stroke severity (both p < 0.001). Domain-specific impairments in memory (p < 0.001) and attention (p = 0.002) acutely, and language (p < 0.001), memory (p = 0.001) and number processing (p = 0.006) at 6 months showed the strongest associations with worse SIS composite scores. Severity of acute and 6-month cognitive impairment was associated with poorer functioning in each SIS subscale, and greater levels of depression (acute p = 0.021, 6-months p < 0.001), but not anxiety (p = 0.174, p = 0.129).

CONCLUSIONS

Both acute and 6-month domain-specific cognitive impairments, particularly in memory, were found to negatively impact overall functional and mood outcomes 6 months post-stroke.

Health risk factors in Australian Stroke Survivors: A latent class analysis

ISSUES ADDRESSED

To (i) determine the prevalence of health risk factors (physical activity, diet, alcohol, smoking, blood pressure medication use and mental health) in community-dwelling stroke survivors; and (ii) examine how these health risk factors cluster, and identify associations with physical functioning, independent living, or sociodemographic factors.

METHODS

A secondary analysis of data obtained during a national randomised controlled trial. Participants had experienced stroke and completed a baseline telephone survey on demographic and stroke characteristics, health risk factors, physical functioning and independence in activities of daily living. A latent class analysis was performed to determine health risk profiles. Univariate logistic regressions were performed to identify if participant characteristics were associated with resulting classes.

RESULTS

Data analysed from 399 participants. Two classes of health risk factors were identified: Low Mood, Food & Moves Risk (16% of participants) and Alcohol Use Risk (84% of participants). The Low Mood, Food & Moves Risk group had poorer diet quality, lower physical activity levels and higher levels of depression and anxiety. Lower levels of independence and physical functioning were predictor variables for this group. In contrast, the Alcohol Use Risk group had better physical activity and diet scores, significantly lower probability of depression and anxiety, but a higher probability of risky drinking.

CONCLUSIONS

We identified two distinct health risk factor groups in our population. SO WHAT?: Future interventions may benefit from targeting the specific needs and requirements of people who have experienced stroke based on their distinct risk group. Alcohol consumption in poststroke populations requires further attention.

Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 Patients

Post-stroke depression and anxiety, collectively known as post-stroke adverse mental outcome (PSAMO) are common sequelae of stroke. About 30% of stroke survivors develop depression and about 20% develop anxiety. Stroke survivors with PSAMO have poorer health outcomes with higher mortality and greater functional disability. In this study, we aimed to develop a machine learning (ML) model to predict the risk of PSAMO. We retrospectively studied 1780 patients with stroke who were divided into PSAMO vs. no PSAMO groups based on results of validated depression and anxiety questionnaires. The features collected included demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. Recursive feature elimination was used to select features to input in parallel to eight ML algorithms to train and test the model. Bayesian optimization was used for hyperparameter tuning. Shapley additive explanations (SHAP), an explainable AI (XAI) method, was applied to interpret the model. The best performing ML algorithm was gradient-boosted tree, which attained 74.7% binary classification accuracy. Feature importance calculated by SHAP produced a list of ranked important features that contributed to the prediction, which were consistent with findings of prior clinical studies. Some of these factors were modifiable, and potentially amenable to intervention at early stages of stroke to reduce the incidence of PSAMO.

Anxiety subtypes in rural ischaemic stroke survivors: A latent profile analysis

AIM

To determine the potential profile classes of anxiety reported by ischaemic stroke survivors in rural China, and to explore the characteristics of patients having different types of post-stroke anxiety.

DESIGN

A cross-sectional survey.

METHODS

A cross-sectional survey was conducted by using convenience sampling to collect data from 661 ischaemic stroke survivors in rural Anyang city, Henan Province, China, from July 2021 to September 2021. The parameters included in the study were the socio-demographic characteristics, self-rating anxiety scale (SAS), self-rating depression scale (SDS) and the Barthel index of daily activity ability. Potential profile analysis was done to recognize subgroups of post-stroke anxiety. The Chi-square test was performed to explore the characteristics of individuals with different types of post-stroke anxiety.

RESULTS

The model fitting indices of stroke survivors supported three classes of anxiety models which were as follows: (a) Class 1, low-level, stable group (65.3%, N = 431); (b) Class 2, moderate-level, unstable group (17.9%, N = 118) and (c) Class 3, high-level, stable group (16.9%, N = 112). The risk factors associated with post-stroke anxiety were female patients, lower levels of education, living alone, lower monthly household income, other chronic diseases, impaired daily activity ability and depression.

CONCLUSIONS

This study identified three different subgroups of post-ischaemic stroke anxiety and their characteristics in patients in rural China.

IMPACT

This study has significance in providing evidence for the development of targeted intervention measures to reduce negative emotions in different subgroups of post-stroke anxiety patients.

PATIENT OR PUBLIC CONTRIBUTION

In this study, the researchers arranged the time of questionnaire collection with the village committee in advance, gathered the patients to the village committee for face-to-face questionnaire survey and collected the household data of the patients with mobility difficulties.

The effect of action modules on resilience and psychological health of stroke patients: A pilot non-randomised control trial

AIMS AND OBJECTIVES

To determine whether interventions that use the Specific Thematic Nursing Care Action Modules (STNC-AM) platform improve patients' psychological health over a two-month period.

BACKGROUND

Stroke survivors often are left with a disability after a stroke, which can have an impact on their physical and mental health. Therefore, it is necessary for stroke patients to have tailored programmes in the face of post-stroke mental health concerns and the need for care information.

DESIGN

A non-randomised controlled pilot study was conducted.

METHODS

Participants included 44 post-stroke patients at a medical university hospital, between 1 August 2019-28 February 2021, of whom 24 were assigned to the control group and 20 were assigned to the intervention (STNC-AM). Data were analysed on an intention-to-treat basis. We used the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Checklist (case-control studies) for this study.

RESULTS

There were no statistical differences between the two groups at baseline. At the end of two months, however, the scores for resilience, depression and positive factors illness representation were statistically different between the two groups (p < .05). The results of the generalised estimating equation model analysis indicated that resilience and anxiety remained more significant in decreasing depression in the intervention group than in the control group.

CONCLUSION

This preliminary trial suggests that, although action modules may be associated with a decrease in depression post-stroke, part of this effect was likely associated with an increase in resilience and a decrease in anxiety of the patients.

RELEVANCE TO CLINICAL PRACTICE

The STNC-AM platform provides a coaching platform that helps patients and caregivers to be effective and accessible.

Relevance of Cognition and Emotion for Patient-Reported Quality of Life After Stroke in Working Age: An Observational Cohort Study

Background

Patient-reported quality of life (QoL) may help to capture sequela of stroke more comprehensively. We aimed to investigate QoL in working age persons with ischemic stroke regarding impaired domains and identify factors associated with better QoL.

Methods

We invited persons with stroke aged 18–55 years to participate in this prospective observational study. We assessed QoL and self-rated health using the EuroQol 5 Dimension questionnaire (EQ-5D) during hospital stay (baseline) and at 3-months follow-up (FU). Additionally, the National Institute of Health Stroke Scale (NIHSS), modified Rankin Scale (mRS), cognition (Montreal Cognitive assessment, MOCA), emotion (Hospital Anxiety and Depression Scale), and return to work were evaluated. We used hierarchical regression to identify predictors of QoL (self-rated health and QoL Index score) at FU.

Results

We included 138 persons with stroke (mean age = 43.6 ± 10 years; 41% female; median admission NIHSS = 2), of whom 99 participated at FU. QoL Index and self-rated health were correlated with NIHSS, mRS, anxiety, and depression at both timepoints. Although 80% had favorable functional outcome at FU (mRS < 2), high proportions of these persons reported problems in the “Pain and/or Discomfort” (25.3%) and “Anxiety/Depression” (22.8%) dimensions. Only discharge NIHSS and baseline MOCA independently predicted self-rated health at FU. Female sex, higher discharge NIHSS, and higher baseline depression scores predicted worse QoL Index scores at FU.

Conclusions

Three months post-stroke, working age persons with stroke frequently reported problems in dimensions not assessed by the routinely used mRS. Despite correlations between clinical scales and QoL, patient-reported outcomes and screening for cognition and emotion ensure a more comprehensive assessment of post-stroke consequences relevant for QoL.

The relationship between serum levels of S-100β and anxiety symptoms in patients with acute stroke

BACKGROUND

Post-stroke anxiety (PSA) is a common neuropsychiatric affective disorder occurring after a stroke. Animal experiments have indicated that serum S-100β levels are closely related to anxiety disorder. No clinical study has been done to explore the relationship between serum S-100β levels and anxiety symptoms in patients with acute stroke. The aim of our study was to investigate the association between serum S-100β levels and PSA.

METHODS

One hundred twenty-six acute stroke patients were recruited and followed up for 1 month. Blood samples were collected within 24 h after admission. The levels of serum S-100β were measured by enzyme-linked immunosorbent assays. Patients with significant clinical symptoms of anxiety and a Hamilton Anxiety Rating Scale score >7 at 1 month after stroke were diagnosed as PSA.

RESULTS

Serum S-100β levels in the non-PSA group were lower than the PSA group (838.97 (678.20-993.59) ng/L vs. 961.87 (796.09-1479.59) ng/L, Z = -2.661, P = 0.008). In multivariate analyses, we found that decreased risk of PSA was associated with low tertile serum S-100β levels (≤753.8 ng/L, OR 0.062, 95% CI 0.008-0.475, P = 0.007).

CONCLUSIONS

Low serum S-100β levels at admission may be associated with the decreased risk of PSA.

Anxiety faintly and depression remarkably correlate with recurrence in acute ischemic stroke patients: A study with 3-year longitude evaluation and follow-up

Clinical value of anxiety and depression in acute ischemic stroke (AIS) is rarely studied. Thus, the aim of this study was to explore longitudinal changes of anxiety and depression, as well as their correlation with recurrence in AIS.A total of 120 AIS patients and 120 controls were enrolled in the study. Furthermore, comparison of the hospital anxiety and depression scale (HADS) score or rate between AIS and controls was determined by Mann-Whitney U test or Chi-square test. In AIS patients, change of HADS scores or linear trend of anxiety and depression rate over time were determined by Friedman test or Mantel-Haenszel Chi-square test. Moreover, correlation of anxiety and depression with the recurrence rate was analyzed by log-rank test.HADS for anxiety score, anxiety rate, HADS for depression score and depression rate were all elevated in AIS patients compared with controls (all P < .001). In AIS patients, HADS for anxiety score was elevated from discharged from hospital (M0) to month (M) 36 (P = .027), while anxiety rate was not (P = .107). Besides, HADS-D score and rate were both increased from M0 to M36 (both P < .001). Moreover, accumulating recurrence rate was 6.7%, 11.7%, and 17.5% at 1 year, 2 years, and 3 years, respectively. Additionally, anxiety at M24 (P = .033), depression at M0, M12, M24, and M36 (all P < .05) were all correlated with increased accumulating recurrence rate.Continuous monitoring of anxiety and depression might be beneficial for the management of AIS prognosis.

Caregiver strain and fatigue are independent determinants of anxiety among patients early after stroke

Anxiety and depression are common mental health disorders in stroke patients, and often co-occur. However, in contrast to depression, there is limited research about anxiety after stroke, although impact of anxiety can be substantial. Therefore, this cross-sectional observational study investigated determinants of anxiety after stroke and compared them with determinants of depression after stroke. Stroke surviving patients (n = 284) were seen six weeks after discharge from the hospital or rehabilitation setting. Of these, 238 patients answered all questions of the Hospital Anxiety and Depression Scale measuring anxiety (HADS-a) and 239 patients answered all questions measuring depression (HADS-d). Step-wise regression was used to identify independent determinants of anxiety and depression after stroke. Higher levels of anxiety were associated with a higher caregiver strain (p < 0.01) and more fatigue (p < 0.05). In contrast, higher levels of depression were associated with lower life satisfaction (p < 0.001) and less daily activities (p < 0.05), but also more fatigue (p < 0.001). Hence, our results show that both fatigue and caregiver strain are associated with higher levels of anxiety, but of these only fatigue is also associated with higher levels of depression. Practitioners should therefore ask for both anxiety and depression symptoms in stroke patients.

Association Between Obesity and Post-stroke Anxiety in Patients With Acute Ischemic Stroke

Post-stroke anxiety (PSA) is serious psychosomatic comorbidity among patients with stroke, but whether obesity could be positively associated with PSA is currently unknown. The purpose of this study was to investigate the potential association between obesity and subsequent anxiety risk in patients with stroke. A total of 441 patients with acute ischemic stroke (AIS) onset were consecutively recruited within 7 days, and PSA and post-stroke depression (PSD) were evaluated by using a 14-item Hamilton anxiety scale (HAMA) and 17-item Hamilton depression scale (HAMD) at the end of 1-month follow-up. The odds ratio (OR) with 95% CI was estimated for the incidental PSA by using logistic regression analysis. The incidence of PSA was 25.85% at the end of 1-month follow-up, with a significant difference between patients with and without abdominal obesity. Relative fat mass (RFM) and abdominal obesity were significantly associated with an elevated risk of PSA, and the crude ORs were 1.04 (95% CI: 1.01–1.08) and 1.93 (95% CI: 1.11–3.34), respectively. Even after adjustment for obesity-related risk factors and PSA-related clinical measurements, the association remained to be pronounced with abdominal obesity. However, RFM (OR = 1.03, 95% CI: 0.99–1.06, P = 0.053) and abdominal obesity (OR = 1.31, 95% CI: 0.80–2.15, P = 0.280) were not significantly associated with an elevated risk of PSD. Abdominal obesity was independently associated with the PSA instead of PSD, which may help predict PSA risk in clinical practice. Further prospective clinical studies with a long follow-up duration are warranted to verify this finding.

Psychological Complications at 3 Months Following Stroke: Prevalence and Correlates Among Stroke Survivors in Lebanon

Introduction: Stroke continues to be a common and debilitating medical condition which has a significant effect on public health as the second primary source of mortality and the third major root of disability worldwide. A wide range of complications affecting the survivor's life and interfering with the recovery process usually follows stroke; anxiety and depression are considered one of the major complications post-stroke. This study sought to investigate the short-term psychological consequences of stroke among Lebanese survivors and to identify their correlates.

Methods: This study is a prospective observational epidemiological study. 143 stroke patients admitted to hospitals in Mount Lebanon and Beirut between February and May 2018.were included in this study. Assessments of complications were carried out at 3 months post-stroke by completing a 30-min face-to-face interview questionnaire. The survey included the socio-demographic -characteristics of the patients, their lifestyle, health indicators, the severity of stroke, and the post-stroke consequences disturbing their quality of life.

Results: Complications were recorded for 117 stroke survivors (mean age, 72.46 years; 60.7% male). The analysis of results 3 months post stroke showed that 29 survivors suffered from neuropathic pain (24.8%), 110 (94%) suffered from fatigue, and 81 (69.2%) from cognitive impairment. High rates of anxiety (51.3%), and depression (76.1%) were recorded as well. Multivariate logistic regression confirmed that there is a significant association between depression and the following variables: anxiety (OR = 4.814, p-value = 0.017), pain (OR = 6.868, p-value = 0.002), and physical activity, which acts as a protective factor against depression (OR = 0.261; p-value = 0.029). However, the results of the multivariate logistic regression analysis for anxiety indicated that immobility-related complications increase the risk of anxiety by 8.457 in sedentary duration longer than 12 h (ORa = 8.457, p-value = 0.01). Furthermore, patients with neuropathic pain (24.8%) are 3.858 times more likely to have anxiety compared to patients without neuropathic pain (ORa = 3.858, p-value = 0.019).

Conclusion: Using a patient-centered structure more interventions should take place to evaluate stroke survivors' outcomes, and organize rehabilitation services that deal with stroke consequences, particularly high anxiety and depression levels, which are prevalent and persistent among the Lebanese stroke survivors.

Effect of mood on long-term disability in younger stroke survivors: results from the Psychosocial Outcomes In StrokE (POISE) study

Background & Purpose: Anxiety and depression are common among stroke survivors, and their effect on long-term outcome remains unknown in those under 65 years of age. We investigated the association between early anxiety/depression after stroke and 12-month disability, and whether this is modified by sex.Methods: The Psychosocial Outcomes In StrokE (POISE) study was a prospective observational cohort study that recruited 441 younger (< 65 years) stroke survivors ≤28 days of acute stroke. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale, and disability using the World Health Organization Disability Assessment Scale version II (WHODAS-II). Associations between baseline anxiety/depression, and disability at 12-months was tested using analysis of covariance. Subgroup analysis was conducted using interaction term.Results: 92 (25%) had anxiety and 53 (14%) depression at baseline. Multivariable models showed significant association between baseline anxiety and 12-month disability (WHODAS-II score 15.24 vs. 11.49, p < .05). Those with anxiety had more impairment in 'cognition' (WHODAS-II score 18.26 vs. 8.71, p < .001), 'getting along' (WHODAS-II score 11.87 vs. 7.42, p < .05) and 'participation' (WHODAS-II score 22.37 vs. 15.92, p < .005) WHODAS-II. No significant relationship was found between baseline depression and long-term disability. There was no differential effect of anxiety by sex found in this study.Conclusions: Post-stroke anxiety has an adverse effect on disability at one year among young stroke survivors.

Association of Depression and Anxiety With Cognitive Impairment 6 Months After Stroke

OBJECTIVE

To investigate the associations between general cognitive impairment and domain-specific cognitive impairment with depression and anxiety at 6 months poststroke.

METHODS

Participants were patients with confirmed acute stroke from the OCS-Care Study who were recruited on stroke wards in a multisite study and followed up at a 6-month poststroke assessment. Depression and anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale subscales, with scores greater than 7 indicating possible mood disorders. General cognitive impairment at follow-up was assessed using the Montreal Cognitive Assessment (MoCA); stroke-specific cognitive domain impairments were assessed using the Oxford Cognitive Screen (OCS). Linear regression was used to examine the associations between cognition and depression/anxiety symptoms at 6 months, controlling for acute stroke severity and activities of daily living impairment, age, sex, education, and co-occurring poststroke depression/anxiety.

RESULTS

A total of 437 participants (mean age, 69.28 years [SD 12.17], 226 male [51.72%]) were included in analyses. Six-month poststroke depression (n = 115, 26%) was associated with 6-month impairment on the MoCA (β = 0.96, standard error [SE] 0.31, p = 0.006) and all individual domains assessed by the OCS: spatial attention (β = 0.67, SE 0.33, p = 0.041), executive function (β = 1.37, SE 0.47, p = 0.004), language processing (β = 0.87, SE 0.38, p = 0.028), memory (β = 0.76, SE 0.37, p = 0.040), number processing (β = 1.13, SE 0.40, p = 0.005), and praxis (β = 1.16, SE 0.49, p = 0.028). Poststroke anxiety (n = 133, 30%) was associated with impairment on the MoCA (β = 1.47, SE 0.42, p = 0.001) and spatial attention (β = 1.25, SE 0.45, p = 0.006); these associations did not remain significant after controlling for co-occurring poststroke depression.

CONCLUSION

Domain-general and domain-specific poststroke cognitive impairment was found to be highly related to depressive symptomatology but not anxiety symptomatology.

Relationships between stroke, depression, generalized anxiety disorder and physical disability: some evidence from the Canadian Community Health Survey-Mental Health

The objective of this study is to evaluate associations between stroke, depression, anxiety and physical disability. The sample of 19,159 participants aged ≥30 was obtained from the 2012 Canadian Community Health Survey-Mental Health. Depression or anxiety was defined as major depressive disorder (MDD) or generalized anxiety disorder (GAD) within the past 12 months. The history of anxiety was defined as GAD at any time point during the respondent's lifetime. Physical disability was assessed by the past 14-day disability in daily-living activities. For statistical analysis, two logistic regression models (crude and adjusted models) were presented. The results showed that subjects with stroke had greater likelihoods of MDD-GAD comorbidity and GAD only compared those without stroke. People with GAD only had higher likelihood of physical disability than those with neither of the two conditions. Among participants with stroke, lifetime GAD was associated with a greater likelihood of MDD. In conclusion, individuals with stroke may be vulnerable to comorbid depression-anxiety as well as anxiety only. Additionally, subjects with anxiety were more likely to have physical disability. The history of anxiety increased the risk for developing post-stroke depression.

Neuropsychiatric issues after stroke: Clinical significance and therapeutic implications

A spectrum of neuropsychiatric disorders is a common complication from stroke. Neuropsychiatric disorders after stroke have negative effects on functional recovery, increasing the rate of mortality and disability of stroke survivors. Given the vital significance of maintaining physical and mental health in stroke patients, neuropsychiatric issues after stroke have raised concerns by clinicians and researchers. This mini-review focuses on the most common non-cognitive functional neuropsychiatric disorders seen after stroke, including depressive disorders, anxiety disorders, post-traumatic stress disorder, psychosis, and psychotic disorders. For each condition, the clinical performance, epidemiology, identification of the therapeutic implication, and strategies are reviewed and discussed; the main opinions and perspectives presented here are based on the latest controlled studies, meta-analysis, or updated systematic reviews. In the absence of data from controlled studies, consensus recommendations were provided accordingly.