Description of a multifaceted intervention programme for fatigue after acquired brain injury: a pilot study.

The purpose of this pilot study was to describe and explore a group-based multifaceted intervention for patients with fatigue after acquired brain injury (ABI). We hypothesised that post-intervention changes would result in reduced fatigue, in addition to improved emotional health, sleep and attentional control. Eight subjects with traumatic brain injury (n = 3) and cerebrovascular insults (n = 5) were included. Inclusion was based upon the presence of fatigue complaints. The participants received 36 hours of intervention. Changes related to fatigue, emotional health and sleep was assessed with self-rating measures. Additionally, a neuropsychological test (Conners' Continuous Performance Test II) was included as a measure of attentional control. All subjects were assessed at baseline, post-intervention, and at 3 and 9 months follow-up. Findings indicated reduced fatigue levels (post-intervention and 3 months follow-up), anxiety (9 months follow-up), and daytime sleepiness (3 and 9 months follow-up). Pilot results suggest that multifaceted group-based interventions may have the potential to alleviate symptoms of fatigue, anxiety and sleepiness after ABI. At an individual level, a low load of psychological distress, insomnia symptoms, dysexecutive symptoms, in addition to a strong sense of self-efficacy, may be central in order to reduce levels of fatigue.

A cross-sectional study exploring overlap in post-stroke fatigue caseness using three fatigue instruments: Fatigue Severity Scale, Fatigue Questionnaire and the Lynch's Clinical Interview.

OBJECTIVE: Post stroke fatigue (PSF) is a frequent symptom affecting 25-73% of stroke survivors. The variability in estimates of prevalence found across studies reflects differences in fatigue measures and use of different cut-offs for defining clinically significant fatigue. The main aim of this study is to explore the frequency and overlap in caseness of fatigue using three different fatigue measures in a sample of patients at 3 months post stroke. Furthermore, we wanted to explore the instrument's associations with demographic and clinical characteristics. METHODS: The sample consists of 93 patients with new onset stroke. This cross-sectional study includes three measurements of fatigue, The Fatigue Severity Scale (FSS), The Chalder Fatigue Questionnaire (FQ) and the Lynch Interview. Medical, physical, psychological data and estimates of pre-stroke fatigue were collected 3 months post stroke. RESULTS: The FQ using the bimodal scoring yielded about 2.5 more fatigue cases (n = 57) than the FSS with a cut-off mean score of 5 (n = 22). The Lynch interview identified 48 patients as fatigue cases. Conducting multivariate analyses, the three instruments were differently associated with predictor variables such as prestroke fatigue, reduced balance and burden of symptoms reported post stroke. CONCLUSION: The use of different instruments leads to a large variability in identifying fatigue cases in a sample of stroke patients. Scientifically and clinically a clarification and consensus on how to measure fatigue is warranted. Without correct identification of PSF-cases, knowledge about the causes of fatigue and development of tailored and interdisciplinary interventions are further delayed.

Trajectories of fatigue among stroke patients from the acute phase to 18 months post-injury: A latent class analysis.

INTRODUCTION: Post-stroke fatigue (PSF) is a common symptom affecting 23-75% of stroke survivors. It is associated with increased risk of institutionalization and death, and it is of many patients considered among the worst symptoms to cope with after stroke. Longitudinal studies focusing on trajectories of fatigue may contribute to understanding patients' experience of fatigue over time and its associated factors, yet only a few have been conducted to date. OBJECTIVES: To explore whether subgroups of stroke survivors with distinct trajectories of fatigue in the first 18 months post stroke could be identified and whether these subgroups differ regarding sociodemographic, medical and/or symptom-related characteristics. MATERIALS AND METHODS: 115 patients with first-ever stroke admitted to Oslo University Hospital or Buskerud Hospital were recruited and data was collected prospectively during the acute phase and at 6, 12 and 18 months post stroke. Data on fatigue (both pre- and post-stroke), sociodemographic, medical and symptom-related characteristics were collected through structured interviews, standardized questionnaires and from the patients' medical records. Growth mixture modeling (GMM) was used to identify latent classes, i.e., subgroups of patients, based on their Fatigue Severity Scales (FSS) scores at the four time points. Differences in sociodemographic, medical, and symptom-related characteristics between the latent classes were evaluated using univariate and multivariable ordinal regression analyses. RESULTS AND THEIR SIGNIFICANCE: Using GMM, three latent classes of fatigue trajectories over 18 months were identified, characterized by differing levels of fatigue: low, moderate and high. The mean FSS score for each class remained relatively stable across all four time points. In the univariate analyses, age <75, pre-stroke fatigue, multiple comorbidities, current depression, disturbed sleep and some ADL impairment were associated with higher fatigue trajectories. In the multivariable analyses, pre-stroke fatigue (OR 4.92, 95% CI 1.84-13.2), multiple comorbidities (OR 4,52,95% CI 1.85-11.1) and not working (OR 4.61, 95% CI 1.36-15,7) were the strongest predictor of higher fatigue trajectories The findings of this study may be helpful for clinicians in identifying patients at risk of developing chronic fatigue after stroke.