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).

Health-related quality of life in stroke survivors: a 5-year follow-up of The Fall Study of Gothenburg (FallsGOT).

BACKGROUND: There are limited data on long-term prevalence and predictors of health-related quality of life (HRQoL) in stroke survivors. Therefore, the aim was to describe the prevalence of impaired HRQoL, and to identify factors in acute stroke that are associated with impaired HRQoL, 5 years after stroke. METHODS: The 305 (60.5%) stroke survivors of the original 504 participants from The Fall Study of Gothenburg were invited to participate in a 5-year follow-up including assessment of HRQoL using the EuroQol 5 Dimensions 3 Levels questionnaire (EQ-5D-3L). To identify baseline predictors of impaired HRQoL, based on the EQ-5D-3L's five dimensions, univariate and multivariate logistic regression analyses were performed. RESULTS: A total of 129 participants (42.3% of the survivors) completed the questionnaire at a median follow-up time of 58 months. At baseline, their mean age was 70.6 years, and they had a median NIHSS score of 1. The median (interquartile range [IQR]) EQ-5D-3L index score was 0.87 (0.71-0.93) and the median (IQR) EQ-visual analogue scale was 70 (49.8-88). In total, 102 (79%) participants were classified as having impaired HRQoL, stated primarily (among 68.5%) related to Pain/Discomfort. Higher age was identified as a predictor of impaired HRQoL related to Mobility (Odds ratio (OR) 1.05, 95% confidence interval (CI) 1.01-1.10) and Self-Care (OR 1.09, 95% CI 1.02-1.17), and longer hospital stay at baseline was identified as a predictor related to Mobility (OR 1.09, 95% CI 1.01-1.18), Self-Care (OR 1.10, 95% CI 1.02-1.18)) and Usual Activities. (OR 1.10, 95% CI 1.03-1.18). CONCLUSION: At 5 years after stroke, four out of five participants (79%) reported impaired HRQoL related to any of the five dimensions assessed by using the EQ-5D-3L. Most reported, impaired HRQoL was related to Pain/Discomfort. Higher age and longer hospital care period at index stroke were associated with impaired HRQoL. The findings could assist to identify individuals at high risk of low HRQoL, who might benefit from special attention and psychological support.

Fatigue in stroke survivors: a 5-year follow-up of the Fall study of Gothenburg.

Longer term knowledge of post-stroke fatigue (PSF) is limited. Our aim was to describe the prevalence of, and to identify baseline predictors associated with, PSF 5 years after stroke. We undertook a follow-up of stroke survivors from the 504 consecutively recruited participants in the observational "The Fall Study of Gothenburg", conducted between 2014 and 2016. The dependent variable, PSF, was assessed using the Swedish version of the Fatigue Assessment Scale (S-FAS) and defined as having a S-FAS score ≥ 24. The S-FAS questionnaire was mailed to potential participants in August 2020. The independent variables, previously obtained from medical records, included age; sex; comorbidities; stroke severity; hospital length of stay; body mass index (BMI); number of medications and lifestyle factors at index stroke. To identify predictors of PSF, univariable and multivariable logistic regression analyses were performed. Of the 305 eligible participants, 119 (39%) responded with complete S-FAS. Mean age at index stroke was 71 (SD 10.4) years and 41% were female. After a mean of 4.9 years after stroke, the prevalence of PSF was 52%. Among those with PSF, almost two thirds were classified as having both physical and mental PSF. In the multivariable analysis, only high BMI predicted PSF with an odds ratio of 1.25 (95% CI 1.11-1.41, p < 0.01). In conclusion, half of the participants reported PSF 5 years after index stroke and higher body mass index was identified as a predictor. The findings from this study are important for healthcare professionals, for planning health-related efforts and rehabilitation of stroke survivors.ClinicalTrials.gov, Identifier NCT02264470.

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.

Determinants of Recurrent Falls Poststroke: A 1-Year Follow-up of the Fall Study of Gothenburg.

OBJECTIVE: To identify the occurrence of recurrent falls and the determinants in the acute phase poststroke that are associated with recurrent falls within the first year poststroke. DESIGN: Prospective follow-up study. SETTING: Stroke unit and community. PARTICIPANTS: Patients (N=504) with acute stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The dependent variable was recurrent falls, defined as ≥2 falls, within the first year poststroke. The independent baseline variables were related to function, activity, participation, personal and environmental factors, and comorbidity and were assessed within 4 days after admission to a stroke unit. Fall data were registered at the stroke unit, and self-reported fall data were collected during follow-up using a standardized questionnaire. Determinants of recurrent falls were identified using univariable and multivariable logistic regression analyses. RESULTS: Within 12 months poststroke, 95 of 348 participants (27%) had experienced recurrent falls. Poor postural control (odds ratio [OR] 5.85; 95% confidence interval [CI], 2.84-12.02; P<.0001), moderate postural control (OR 2.41; 95% CI, 1.21-4.80; P=.012), and using a walking aid in the acute phase (OR 2.51; 95% CI, 1.45-4.36; P=.0010) are statistically significant determinants that are associated with recurrent falls within the first year poststroke. The determinant of using a walking aid appears to be primarily driven by those younger than 80 years. In addition to impaired postural control and using a walking aid, a fall at the stroke unit is a determinant associated with recurrent falls after discharge within 6 months poststroke. CONCLUSIONS: More than 1 in 4 individuals with stroke experienced recurrent falls within the first year poststroke. Impaired postural control, using a walking aid in the acute phase, and fall during hospitalization are determinants associated with recurrent falls during follow-up. The determinants differ somewhat at different ages.

Early prediction of falls after stroke: a 12-month follow-up of 490 patients in The Fall Study of Gothenburg (FallsGOT).

OBJECTIVE:: To identify the incidence of falls and factors present shortly after stroke, which are associated with the occurrence of falls over the first 12 months after stroke onset, following discharge from inpatient rehabilitation. DESIGN:: Prospective follow-up study. SETTING:: Stroke unit and outpatient department. SUBJECTS:: A total of 490 individuals with acute stroke. METHODS:: Postural control was assessed using the Swedish modified version of the Postural Assessment Scale for Stroke Patients. Data on self-reported falls were collected using a standardized questionnaire at three months after discharge and six and 12 months after stroke onset. Associations between characteristics during the acute phase after a stroke and falls after six and 12 months were investigated using univariable and multivariable regression analyses. MAIN MEASURES:: The endpoint was a self-reported fall. RESULTS:: Within three months after discharge, 38 of 165 respondents (23%) had experienced at least one fall. Within six and 12 months after stroke onset, respectively, 108 of 376 (29%) and 140 of 348 (40%) of the respondents had experienced at least one fall. Poor postural control (odds ratio 3.92, 95% confidence interval 2.07-7.45, P < 0.0001) and using a walking aid (odds ratio 2.84, 95% confidence interval 1.71-4.72, P < 0.0001) were predictors of falls after discharge within 12 months after stroke onset. The same variables were independent predictors of falls within six months. CONCLUSION:: Poor postural control and using a walking aid in the acute phase after a stroke are associated with falls after discharge from a stroke unit within 12 months after stroke onset.