Function and activity capacity at 1 year after the admission to intensive care unit for COVID-19.

OBJECTIVE: To describe hand grip strength, walking speed, functional mobility, and postural control at one year following intensive care unit admission for COVID-19, and to find any predictors that are associated with impaired hand grip strength, walking speed, functional mobility, or postural control at the 1-year follow-up. DESIGN: Retrospective cross-sectional and longitudinal observational study. SETTING: Intensive care unit and outpatient research clinic at Sahlgrenska University Hospital. PARTICIPANTS: Of the 105 individuals in "The Gothenburg Recovery and Rehabilitation after COVID-19 and Intensive Care Unit" cohort, 78 participated in this study. MAIN MEASURES: Descriptive statistics for hand grip strength, walking speed, functional mobility, and postural control were presented and binary logistic regressions were performed to find their significant predictors. RESULTS: At 1-year following intensive care unit admission for COVID-19, impaired hand grip strength was found in 24.4% for the right hand and 23.1% for the left hand. Walking speed, functional mobility, and postural control were found to be impaired in 29.5%, 21.8%, and 5.1%, respectively. For impaired walking speed, longer length of stay at intensive care unit and presence of diabetes mellitus were risk factors. Diabetes mellitus was found to be the risk factor for impaired functional mobility. CONCLUSION: In this study, 45% of the participants showed impairment in function, activity capacity or both. These results suggest that individuals who recovered after intensive care unit admission for COVID-19 would benefit from receiving long-term follow-up to enable identification of those with need of physical health assistance and rehabilitation.

Prevalence of symptoms of anxiety and depression one year after intensive care unit admission for COVID-19.

BACKGROUND: To the best of our knowledge, the long term prevalence of symptoms of anxiety and depression in ICU admitted individuals after COVID-19 in Sweden during the first wave of the pandemic has not been investigated. Furthermore, no studies have exclusively investigated the risk factors for experiencing symptoms of anxiety and depression in this population. AIM: The aim of this study was to determine the prevalence of symptoms of anxiety and depression at one year after ICU admission for COVID-19. An additional aim was to identify any early predictors that are associated with symptoms of anxiety and depression, at one year following ICU admission for COVID-19. METHODS: This multicenter cohort study had a cross-sectional and a longitudinal design. The primary outcomes and dependent variables, symptoms of anxiety and depression, were assessed using the Hospital Anxiety and Depression Scale (HADS). The independent variables were related to demographic factors, comorbidities, and complications during COVID-19-related ICU admission. Logistic regression analyses were performed to identify any predictors of symptoms of anxiety and depression. RESULTS: Out of 182 eligible individuals, 105 participated in the study. Symptoms of anxiety was found in 40 (38.1%) and depression in 37 (35.2%) of the participants. Using univariable logistic regression analyses, female sex was identified as a predictor of depression as defined by HADS at one year following ICU admission for COVID-19 (odds ratio 2.53, 95% confidence intervals 1.01-6.34, p-value 0.048). CONCLUSIONS: The high prevalence of symptoms of anxiety and depression in ICU admitted individuals one year after COVID-19 is a public health issue of concern. Our findings imply that individuals who recovered after an ICU stay for COVID-19 may benefit from long-term follow-ups and continuous mental health support for more than a year following the ICU admission. For women specifically, this is true. TRIAL REGISTRATION: The study was registered at researchweb.org on 28 May 2020 (Project number: 274477).

Prevalence of fatigue at one-year follow-up from the Gothenburg recovery and rehabilitation after COVID-19 and intensive care unit study.

Fatigue was a commonly reported sequala after COVID-19. However, there is little literature about the prevalence and predictors of fatigue one year after Intensive Care Unit (ICU) admission following COVID-19. Therefore, the aim of this study was to determine the prevalence of fatigue and to identify the predictors prior to, and during the care period in ICU that were associated with fatigue at one year after ICU admission following COVID-19. The dependent variable, fatigue, was assessed using the Swedish version of Fatigue Assessment Scale (S-FAS), in a cohort of 105 individuals cared for at the ICU at the Sahlgrenska University hospital, Sweden during the first wave of the pandemic. The independent variables were related to demographic factors, comorbidities and complications during ICU admission following COVID-19. Fatigue was reported by 64.4% (n = 67) of the individuals. Age (odds ratio: 0.95, confidence interval: 0.92-0.99) and length of stay in the ICU (odds ratio: 1.04, confidence interval: 1.00-1.07) were statistically significant predictors of fatigue one year after ICU admission following COVID-19. The findings from this study will be important for healthcare practitioners, policy makers and the general public in planning the rehabilitation of individuals who underwent ICU care for COVID-19.

Prediction of fear of falling at 6 months after stroke based on 279 individuals from the Fall Study of Gothenburg.

The early identification of individuals at risk of fear of falling after stroke is crucial in order to individualise preventive actions and interventions. The aim of this study was to identify the incidence of, and baseline factors in acute stroke that are associated with fear of falling at 6 months after stroke. Fear of falling was assessed by one question, which was answered by 279 of 452 eligible individuals. Univariable and multivariable logistic regression analyses were performed to determine the factors that were associated with fear of falling. The dependent variable was fear of falling at 6 months after stroke. The independent variables were related to function, activity and participation, including personal and environmental factors. Fear of falling was reported by 117 (41.9%) individuals. Poor postural control in acute stroke, measured using the modified version of the Postural Assessment Scale for Stroke Patients (odds ratio [OR]: 2.60, 95% confidence interval [CI]: 1.26-5.36), and being physically inactive prior to the stroke, measured using the Saltin-Grimby Physical Activity Scale (OR: 2.04, 95% CI: 1.01-4.12), were found to be associated with fear of falling at 6 months after stroke. The findings in this study are useful in clinical practice to optimise rehabilitation after stroke.

Recovery of arm function during acute to chronic stage of stroke quantified by kinematics.

OBJECTIVE: To quantify the longitudinal changes in upper limb kinematics within the first year after stroke and to identify the factors that are associated with these changes. METHODS: A total of 66 individuals with stroke from the Stroke Arm Longitudinal Study at the University of Gothenburg (SALGOT) cohort were included if they were able to perform the target-to-target task. Data from a virtual reality haptic target-to-target task at 6 time-points between 3 days and 12 months after stroke were analysed by linear mixed models, while controlling for the impact of cofactors (stroke severity, age, type and side of stroke, sex and presence of diabetes). RESULTS: Kinematic variables of movement time, mean velocity and number of velocity peaks improved over time and were positively associated with younger age, less severe stroke and ischaemic compared with haemorrhagic stroke. Most of the improvement occurred within 4 weeks after stroke, although movement time and number of velocity peaks also improved between 3 and 6 months after stroke. CONCLUSION: Kinematic variables of movement time, mean velocity and number of velocity peaks were effective in quantifying the longitudinal changes in upper limb kinematics within the first year after stroke.

Relationship between self-reported and objectively measured manual ability varies during the first year post-stroke.

Self-reported outcomes provide unique insights about an individual's perceived manual ability after stroke. This study aimed at determining how the relationship between objective kinematic variables obtained from the target-to-target pointing task and self-reported manual ability varies during the first year in individuals after stroke. Sixty-six individuals from the Stroke Arm Longitudinal study at the University of Gothenburg (SALGOT) cohort were assessed using ABILHAND questionnaire and kinematic analysis at five timepoints between the 10th day and 12th month after stroke. Kinematic analysis was performed using a target-to-target pointing task in a virtual environment. Spearman's correlation was used to determine the extent of correlation between ABILHAND logits and kinematic variables. The correlations varied with time within the first year after stroke. The correlations were low or very low early after stroke and became moderate to high after 6 months for objective measures of movement time and smoothness, but remained low to moderate for mean velocity and low for peak velocity. Due to this discrepancy between self-perceived and objective assessments of arm function, a combination of self-reported and objective assessments of upper limb should be used as outcome measures, especially in the acute and subacute stages after stroke.

End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke.

BACKGROUND: For evaluation of upper limb impairment and activity capacity, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) are recommended to be included in stroke trials. To improve the understanding of mechanisms of motor recovery, and differentiate between restitution and compensation, kinematic analysis is also recommended for assessment of upper limb function after stroke. AIM: To determine the extent to which end-point kinematic variables obtained from the target-to-target pointing task were associated with upper limb impairment or activity limitation as assessed by traditional clinical scales in individuals with stroke. METHODS: Sixty-four individuals, from acute stage up to one year after stroke, were included from the Stroke Arm Longitudinal study at the University of Gothenburg (SALGOT) cohort. They performed a target-to-target pointing task in a virtual environment using a haptic stylus which also captured the kinematic parameters. Multiple linear regression was done to determine the amount of variance explained by kinematic variables on FMA-UE and ARAT scores after controlling for confounding variables. RESULTS: Mean velocity and number of velocity peaks explained 11 and 9% of the FMA-UE score uniquely and 16% when taken together. Movement time and number of velocity peaks explained 13 and 10% of the ARAT score respectively. CONCLUSION: The kinematic variables of movement time, velocity and smoothness explain only a part of the variance captured by using clinical observational scales, reinforcing the importance of multi-level assessment using both kinematic analysis and clinical scales in upper limb evaluation after stroke. TRIAL REGISTRATION: The trial was registered with register number NCT01115348 at clinicaltrials.gov , on May 4, 2010. URL: https://clinicaltrials.gov/ct2/show/NCT01115348 .

Upper Limb Kinematics in Stroke and Healthy Controls Using Target-to-Target Task in Virtual Reality.

BACKGROUND: Kinematic analysis using virtual reality (VR) environment provides quantitative assessment of upper limb movements. This technique has rarely been used in evaluating motor function in stroke despite its availability in stroke rehabilitation. OBJECTIVE: To determine the discriminative validity of VR-based kinematics during target-to-target pointing task in individuals with mild or moderate arm impairment following stroke and in healthy controls. METHODS: Sixty-seven participants with moderate (32-57 points) or mild (58-65 points) stroke impairment as assessed with Fugl-Meyer Assessment for Upper Extremity were included from the Stroke Arm Longitudinal study at the University of Gothenburg-SALGOT cohort of non-selected individuals within the first year of stroke. The stroke groups and 43 healthy controls performed the target-to-target pointing task, where 32 circular targets appear one after the other and disappear when pointed at by the haptic handheld stylus in a three-dimensional VR environment. The kinematic parameters captured by the stylus included movement time, velocities, and smoothness of movement. RESULTS: The movement time, mean velocity, and peak velocity were discriminative between groups with moderate and mild stroke impairment and healthy controls. The movement time was longer and mean and peak velocity were lower for individuals with stroke. The number of velocity peaks, representing smoothness, was also discriminative and significantly higher in both stroke groups (mild, moderate) compared to controls. Movement trajectories in stroke more frequently showed clustering (spider's web) close to the target indicating deficits in movement precision. CONCLUSION: The target-to-target pointing task can provide valuable and specific information about sensorimotor impairment of the upper limb following stroke that might not be captured using traditional clinical scale. TRIAL REGISTRATION DETAILS: The trial was registered with register number NCT01115348 at clinicaltrials.gov, on May 4, 2010. URL: https://clinicaltrials.gov/ct2/show/NCT01115348.