Search

Long‐term cognitive impairment is common in cardiac arrest survivors. Screening to identify patients at risk is recommended. Functional magnetic resonance brain imaging (fMRI) holds potential to contribute to prediction of cognitive outcomes. In this study, we investigated the possible value of early changes in resting‐state networks for predicting short and long‐term cognitive functioning of cardiac arrest survivors. We performed a prospective multicenter cohort study in cardiac arrest survivors in three Dutch hospitals. Resting‐state fMRI scans were acquired within a month after cardiac arrest. We primarily focused on functional connectivity within the default‐mode network (DMN) and salience network (SN), and additionally explored functional connectivity in seven other networks. Cognitive outcome was measured using the Montreal Cognitive Assessment (MoCA) during hospital admission and at 3 and 12 months, and by neuropsychological examination (NPE) at 12 months. We tested mixed effects models to evaluate the value of connectivity within the networks for predicting global cognitive outcomes at the three time points, and long‐term cognitive outcomes in the memory, attention, and executive functioning domains. We included 80 patients (age 60 ± 11 years, 72 (90%) male). MoCA scores increased significantly between hospital admission and 3 months (ΔMoCAhospital‐3M = 2.89, p < 0.01), but not between 3 and 12 months (ΔMoCA3M–12M = 0.38, p = 0.52). Connectivity within the DMN, SN, and dorsal attention network (DAN) was positively related to global cognitive functioning during hospital admission (βDMN = 0.85, p = 0.03; βSN = 1.48, p < 0.01; βDAN = 0.96, p = 0.01), but not at 3 and 12 months. Network connectivity was also unrelated to long‐term memory, attention, or executive functioning. Resting‐state functional connectivity in the DMN, SN, and DAN measured in the first month after cardiac arrest is related to short‐term global, but not long‐term global or domain‐specific cognitive performance of survivors. These results do not support the value of functional connectivity within these RSNs for prediction of long‐term cognitive performance after cardiac arrest. [ABSTRACT FROM AUTHOR]

Objective: After a concussion, 1 in 3 patients report persistent symptoms and experience long-term consequences interfering with daily functioning, known as persistent concussion symptoms (PCS). Evidence suggests PCS is (partly) maintained by anxious thoughts about brain functioning, recovery, and experienced symptoms, leading to avoidance behaviors, which may prevent patients from meeting life demands. We aimed to investigate the efficacy of a newly developed intensive exposure intervention for individuals with PCS after concussion aimed to tackle avoidance behavior. Setting: Participants took part in the intervention at the Maastricht University faculty. Participants: Four participants who experienced PCS after concussion partook in the exploratory study. Participants’ age ranged between 20 and 32 (mean = 26.5, SD = 5.9) years, with an average length of time after the concussion of 9.8 months. Design: A concurrent multiple-baseline single-case design was conducted. The baseline period (A phase) length was randomly determined across participants (3, 4, 5, or 6 weeks). The exposure intervention (B phase) was conducted by psychologists over a 4-week period and consisted of 3 stages: exploration (2 sessions), active exposure (12 sessions conducted over 1 week), and 2 booster sessions. Main Measures: Participants answered daily questions on a visual analog scale related to symptom experience, satisfaction with daily functioning, and degree of avoidance of feared activities. Additional outcomes included symptom severity, catastrophizing, fear of mental activity, anxiety, depression, and societal participation. Results: Tau-U yielded significant effects (P < .05) for all participants on all measures when comparing baseline and intervention phases. The pooled standardized mean difference was high for all measures (symptom experience = 0.93, satisfaction of daily functioning = 1.86, and activity avoidance = −2.05). Conclusions: The results show efficacy of the newly developed intensive exposure treatment for PCS after concussion, which is based on the fear avoidance model. Replication in a larger heterogeneous sample is warranted and needed. [ABSTRACT FROM AUTHOR]

Introduction: There is still much uncertainty about why some people develop persistent cognitive and mental health problems after SARS-CoV-2 infection and require additional care while others do not. In this study, we investigated the cognitive and psychological outcomes of non-hospitalized post-COVID-19 patients referred to an outpatient post-COVID-19 clinic for persistent symptoms more than 3months after infection. Additionally, we aimed to explore the influence of demographic, physical, and personal factors on these outcomes. Methods: This cross-sectional study was conducted at an outpatient post-COVID-19 clinic located at a prominent clinical teaching hospital in the Netherlands. Participants included non-hospitalized patients referred between 2020 and 2022, more than 3 months after SARS-CoV-2 infection, experiencing persistent symptoms. Main outcome measures included levels of anxiety and depression (Hospital Anxiety and Depression Scale), post-traumatic stress symptoms (PTSS) (Post-traumatic Stress Symptoms Checklist 14), and cognitive symptoms (Checklist for Cognitive and Emotional Consequences). Data analysis employed Spearman correlation and hierarchical multiple regression analyses. Results: A total of 265 patients (61% female; mean age of 51.7±13.7years) were included in the study, with an average of 7.6 ±4.5 months following SARS-CoV-2 infection. Among them, 104 patients (40%) reported high levels of anxiety, 111 patients (43%) showed high levels depressive symptoms, and 71 patients (31%) demonstrated high levels of PTSS. Additionally, 200 patients (79%) reported experiencing more than 2 cognitive symptoms. Bivariate analyses indicated associations between psychiatric history and increased cognitive and psychological symptoms. Multivariate analyses revealed positive associations between physical symptoms and cognitive and psychological symptoms, and catastrophizing thoughts were associated with higher anxiety levels (β = 0.217, p< 0.001). Conversely, positive refocusing was associated with lower depressive symptoms (β =-0.325, p <0.001), PTSS (β =-0.290, p <0.001), and cognitive symptoms (β =-0.220, p < 0.001). Discussion: Among non-hospitalized COVID-19 patients seeking care for persistent symptoms, approximately one-third reported high levels of psychological symptoms, and more than three-quarter experienced cognitive symptoms. Physical symptoms, psychiatric history, and a tendency to catastrophize were identified as potential risk factors for persistent psychological and cognitive symptoms. Conversely, positive refocusing demonstrated a protective effect. These findings contribute to the understanding of long-term COVID-19 outcomes and emphasize the importance of integrating a biopsychosocial perspective into treatment approaches. [ABSTRACT FROM AUTHOR]

Detecting cognitive impairments early after stroke is essential for appropriate referrals. Although recommended in stroke guidelines, early cognitive screening is not always implemented. We assessed whether the Montreal Cognitive Assessment (MoCA) adds diagnostic value compared to clinical observation alone. In addition, discharge destinations for stroke patients with and without cognitive deficits detected with the screening tool or the treatment team were explored. Forty-four stroke patients were screened with the MoCA during stroke unit admission. Their charts were studied for cognitive impairments reported by the stroke care team, who were blinded to screening scores. Proportions of detected cognitive deficits were compared between screening (score <26) and patient charts. Discharge destination distribution (home vs. rehabilitation) was explored. The proportion of cognitively impaired patients indicated by the MoCA (84%) and reported in patients' charts (25%) differed significantly (p < 0.001). The distribution of discharge destination did not suggest an association with the detection of cognitive deficits by the treatment team or the cognitive screening. The MoCA detects more cognitive deficits than clinical impression alone, emphasizing the importance of standard screening for cognitive impairments in acute stroke patients. Ultimately, systematic screening may enhance discharge planning and improve long-term outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Design fluency (DF) tasks are commonly used to assess executive functions such as attentional control, cognitive flexibility, self-monitoring and strategy use. Next to the total number of correct designs, the standard outcome of a DF task, clustering and switching can help disentangle the processes underlying DF performance. We present the first longitudinal study of 4–8-year-old children's developmental DF trajectories. Method: At initial enrollment, children (n = 228) were aged between 4.05 and 6.88 years (M = 5.18, SD = 0.59) and attended Dutch primary schools. The DF task was administered at three time points, each time point separated by approximately 1 year. Data were analyzed using mixed regression for total number of correct designs and switching, and mixed logistic regression analysis for clustering. Results: The total number of correct designs increased linearly across the three time points. Across all time points, children made very few clusters, and most clusters consisted of only 3 designs. Clustering only increased at the third assessment compared to the two previous assessments. Switching increased up to the second assessment, but not after that. The number of switches was highly correlated with the total number of correct designs at all time points (r = 0.78 to r = 0.85). These developmental trajectories were similar for all children regardless of their baseline age. Normative data are given for the total number of correct designs and switching. Conclusions: Children as of age 4 onwards can perform a DF task. For children as young as 4–8 years old, computing clustering, and switching measures is of limited value to study cognitive processes underlying DF performance, next to the total number of correct designs. There were no sex differences on any of the DF outcomes. Level of parental education (LPE) was positively associated with the total number of correct designs and switching. [ABSTRACT FROM AUTHOR]

To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. Prospective, multicenter cohort study. Six Dutch hospitals. 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged ≥18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). Not applicable. Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P =.01), lower PROMIS-PF (P <.001), higher HADS-Depression (P =.03), and CLC-high (P =.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P <.05). Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress. [ABSTRACT FROM AUTHOR]

To determine whether cognitive learning potential measured with the dynamic Wisconsin Card Sorting Test has added value in predicting rehabilitation outcome in elderly patients post-stroke after controlling for age, ADL independence at admission, global cognitive functioning and depressive symptoms. Participants were patients with stroke admitted to a geriatric rehabilitation unit. ADL independence (Barthel Index) at discharge was used as measure for rehabilitation outcome. Predictor variables included age, ADL independence at admission, global cognitive functioning (Montreal Cognitive Assessment), depressive symptoms (Geriatric Depression Scale) and cognitive learning potential measured with the dWCST. Thirty participants were included. Bivariate analyses showed that rehabilitation outcome was significantly correlated with ADL independence at admission (r = 0.443, p = 0.014) and global cognitive functioning (r = 0.491, p = 0.006). Regression analyses showed that the dWCST was not an independent predictor of rehabilitation outcome. ADL independence at admission was the only significant predictor of rehabilitation outcome (beta = 0.480, p = 0.007). Cognitive learning potential, measured with the dWCST has no added value in predicting rehabilitation outcome in elderly patients post-stroke. ADL independence at admission was the only significant predictor of rehabilitation outcome. Trial NL7947. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the feasibility of Acceptance and Commitment Therapy for people with acquired brain injury. Design: A process evaluation of the BrainACT treatment was conducted alongside a randomised controlled trial. Setting: Psychology departments of hospitals and rehabilitation centres. Subjects: Tweny-seven participants with acquired brain injury and 11 therapists. Intervention: BrainACT is an Acceptance and Commitment Therapy adapted for the needs and possible cognitive deficits of people with acquired brain injury, provided in eight one-hour face-to-face or video-conference sessions. Measurements: The attendance and compliance rates, engagement, satisfaction, and perceived barriers and facilitators for delivery in clinical practice were investigated using semi-structured interviews with participants and therapists and therapy logs. Results: 212 of the 216 sessions in total were attended and 534 of the 715 protocol elements across participants and sessions were delivered. Participants were motivated and engaged. Participants and therapists were satisfied with the intervention and participants reported to have implemented skills in their daily routines acquired during therapy. Key strengths are the structure provided with the bus of life metaphor, the experiential nature of the intervention, and the materials and homework. Participants and therapists often preferred face-to-face sessions, however, when needed video-conferencing is a good alternative. Conclusion: BrainACT is a feasible intervention for people with anxiety and depressive symptoms following acquired brain injury. However, when the content of the intervention is too extensive, we recommend adding two extra sessions. [ABSTRACT FROM AUTHOR]

After stroke, many patients experience problems with participation in daily activities. Improving participation is the main goal in stroke rehabilitation. However, the longitudinal relationship between participation and health-related quality of life (HRQoL) remains unclear. This study aimed to examine (1) the predictive value of participation at two months on long-term HRQoL and (2) the longitudinal relationship between participation and HRQoL. In this multicenter, prospective cohort study, patients were assessed at two and 12 months after stroke. Participation was measured with the Restriction subscale of the Utrecht Scale for Evaluation of Rehabilitation – Participation. HRQoL was assessed with the three-level version of the EuroQoL five dimensions questionnaire index score. This study included 291 patients. Mean age was 66.6 ± 12.4 years, 64.3% were male and mean National Institutes of Health Stroke Scale (NIHSS) was 2.5 ± 2.9. Multivariable linear regression, adjusted for demographic characteristics, stroke characteristics, physical and cognitive impairment, showed that a higher level of participation at two months correlated with a higher HRQoL at one year (B =.004; 95% CI =.002–.005). Patients whose participation improved had a greater increase in HRQoL, compared to patients without improvement (0.080 ±.21 versus −.054 ±.21; p <.001). The level of participation at two months post-stroke predicts HRQoL at one year. Improvement in participation during the first year after stroke is associated with improvement in HRQoL. We recommend including the assessment of participation in daily activities at follow-up visits. [ABSTRACT FROM AUTHOR]

Acquired Brain Injury (ABI) can have lifelong consequences and accordingly, persons with ABI often receive various types of healthcare. Facilities have their own preferences towards measurement instruments used to evaluate patients, impeding data comparison across healthcare settings. In this cross-sectional study, we used the previously developed minimal dataset for persons with ABI (MDS-ABI) to uniformly document and compare characteristics and outcomes of ABI patients in three healthcare settings: (1) residential care (n = 21), (2) non-residential care (n = 80), and (3) no ABI-related care (n = 22). Overall, patients of residential care settings had the lowest functional outcome compared with patients in the remaining groups. Nonetheless, all groups showed substantial disabilities within numerous life domains, indicating that the consequences of ABI are widespread among patients within and outside of healthcare facilities. These results demonstrate the need for a broad measurement of the potential consequences of ABI. The MDS-ABI covers twelve life domains most frequently affected by ABI and therefore helps to better recognize the consequences of ABI. In research contexts, implementation of the MDS-ABI allows for direct comparison of research findings. Future directions should be aimed at further implementation of the MDS-ABI to guide clinical decision-making and assist in identifying treatment goals specific to each healthcare setting. [ABSTRACT FROM AUTHOR]

Partners of patients with stroke are at high risk for burden, anxiety and depressive symptoms. Previous studies have reported contradictory results and did not investigate these three courses simultaneously. In this study we comprehensively studied the courses and predictors of burden, anxiety and depressive symptoms in partners of patients with stroke during the first two years after stroke. They were analyzed as outcomes as well as predictors for each other. Six general hospitals recruited 215 patients with stroke and their partners for a longitudinal cohort study. Mixed model analyses were performed for burden (CSI), anxiety (HADS-A) and depressive symptoms (HADS-D) as time-varying outcome variables, measured at four time points during two years after stroke. Burden and depressive symptoms did not significantly change over time, whereas anxiety symptoms initially decreased followed by an increase. Higher burden was predicted by partners' younger age, higher education, more symptoms of anxiety and depression, and by patients' greater stroke severity, lower cognitive functioning and more symptoms of anxiety and depression. More anxiety symptoms were predicted by higher burden, more depressive symptoms, and lower self-efficacy of the partner. More depressive symptoms were predicted by older age, higher burden, more symptoms of anxiety, less proactive coping strategies of the partner, and more depressive symptoms of the patients. Burden, anxiety and depressive symptoms are interrelated and become chronic in partners of patients with stroke. It is important to screen partners early after stroke to identify partners who are at risk for negative outcomes. [ABSTRACT FROM AUTHOR]

Background: The treatment of anxiety and depressive symptoms following acquired brain injury is complex and more evidence-based treatment options are needed. We are currently evaluating the BrainACT intervention; acceptance and commitment therapy for people with acquired brain injury. Rationale: This paper describes the theoretical underpinning, the development and content of BrainACT. Acceptance and commitment therapy focuses on the acceptance of feelings, thoughts and bodily sensations and on living a valued life, without fighting against what is lost. Since the thoughts that people with acquired brain injury can experience are often realistic or appropriate given their situation, this may be a suitable approach. Theory into practice: Existing evidence-based protocols were adapted for the needs and potential cognitive deficits after brain injury. General alterations are the use of visual materials, summaries and repetition. Acceptance and commitment therapy-specific adaptions include the Bus of Life metaphor as a recurrent exercise, shorter mindfulness exercises, simplified explanations, a focus on experiential exercises and the monitoring of committed actions. The intervention consists of eight one-hour sessions with a psychologist, experienced in acceptance and commitment therapy and in working with people with acquired brain injury. The order of the sessions, metaphors and exercises can be tailored to the needs of the patients. Discussion: Currently, the effectiveness and feasibility of the intervention is evaluated in a randomised controlled trial. The BrainACT intervention is expected to be a feasible and effective intervention for people with anxiety or depressive symptoms following acquired brain injury. [ABSTRACT FROM AUTHOR]

Background and purpose: Coronavirus disease 2019 (COVID‐19) affects the brain, leading to long‐term complaints. Studies combining brain abnormalities with objective and subjective consequences are lacking. Long‐term structural brain abnormalities, neurological and (neuro)psychological consequences in COVID‐19 patients admitted to the intensive care unit (ICU) or general ward were investigated. The aim was to create a multidisciplinary view on the impact of severe COVID‐19 on functioning and to compare long‐term consequences between ICU and general ward patients. Methods: This multicentre prospective cohort study assessed brain abnormalities (3 T magnetic resonance imaging), cognitive dysfunction (neuropsychological test battery), neurological symptoms, cognitive complaints, emotional distress and wellbeing (self‐report questionnaires) in ICU and general ward (non‐ICU) survivors. Results: In al, 101 ICU and 104 non‐ICU patients participated 8–10 months post‐hospital discharge. Significantly more ICU patients exhibited cerebral microbleeds (61% vs. 32%, p < 0.001) and had higher numbers of microbleeds (p < 0.001). No group differences were found in cognitive dysfunction, neurological symptoms, cognitive complaints, emotional distress or wellbeing. The number of microbleeds did not predict cognitive dysfunction. In the complete sample, cognitive screening suggested cognitive dysfunction in 41%, and standard neuropsychological testing showed cognitive dysfunction in 12%; 62% reported ≥3 cognitive complaints. Clinically relevant scores of depression, anxiety and post‐traumatic stress were found in 15%, 19% and 12%, respectively; 28% experienced insomnia and 51% severe fatigue. Conclusion: Coronavirus disease 2019 ICU survivors had a higher prevalence for microbleeds but not for cognitive dysfunction compared to general ward survivors. Self‐reported symptoms exceeded cognitive dysfunction. Cognitive complaints, neurological symptoms and severe fatigue were frequently reported in both groups, fitting the post‐COVID‐19 syndrome. [ABSTRACT FROM AUTHOR]

Patients with acquired brain injury (ABI) often experience symptoms of anxiety and depression. Until now, evidence-based treatment is scarce. This study aimed to investigate the effectiveness of Acceptance and Commitment Therapy (ACT) for patients with ABI. To evaluate the effect of ACT for people with ABI, a non-concurrent multiple baseline design across four cases was used. Participants were randomly assigned to a baseline period, followed by treatment and then follow-up phases. Anxiety and depressive symptoms were repeatedly measured. During six measurement moments over a year, participants filled in questionnaires measuring anxiety, depression, stress, participation, quality of life, and ACT-related processes. Randomization tests and NAP scores were used to calculate the level of change across phases. Clinically significant change was defined with the Reliable Change Index. Three out of four participants showed medium to large decreases in anxiety and depressive symptoms (NAP = 0.85 till 0.99). Furthermore, participants showed improvements regarding stress, cognitive fusion, and quality of life. There were no improvements regarding psychological flexibility, value-driven behaviour, or social participation. This study shows that ACT is possibly an effective treatment option for people experiencing ABI-related anxiety and depression symptoms. Replication with single case or large scale group studies is needed to confirm these findings. [ABSTRACT FROM AUTHOR]