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 falls after stroke based on data on 5065 patients from the Swedish Väststroke and Riksstroke Registers.

We aimed to identify determinants in acute stroke that are associated with falls during the stroke unit stay. In order to enable individualized preventive actions, this knowledge is fundamental. Based on local and national quality register data on an unselected sample of 5065 stroke patients admitted to a stroke unit at a Swedish university hospital, univariable and multivariable logistic regression analyses were performed. The dependent variable was any fall during stroke unit stay. The independent variables related to function, activity, personal factors, time to assessment, comorbidities and treatments. Determinants of falls were: being male (odds ratio (OR) 2.25, 95% confidence interval (95% CI) 1.79-2.84), haemorrhagic stroke (OR 1.39, 95% CI 1.05-1.86), moderate stroke symptoms according to the National Institutes of Health Stroke Scale (NIHSS score 2-5 vs. NIHSS score 0-1) (OR 1.43, 95% CI 1.08-1.90), smoking (OR 1.70, 95% CI 1.29-2.25), impaired postural control in walking (OR 4.61, 95% CI 3.29-6.46), impaired postural control in standing (OR 1.60, 95% CI 1.25-2.05), stroke-related arm- and hand problems, OR 1.45, 95% CI 1.11-1.91), impaired cognition (OR 1.43, 95% CI 1.04-1.95), and urinary tract infection (OR 1.91, 95% CI 1.43-2.56). The findings from this study are useful in clinical practice and might help to improve patient safety after stroke.

Physical inactivity after stroke: Incidence and early predictors based on 190 individuals in a 1-year follow-up of the Fall Study of Gothenburg.

OBJECTIVE: To determine the incidence of physical inactivity and factors prior to stroke and in acute stroke that are associated with physical inactivity 1 year after stroke Design: Prospective longitudinal cohort Patients: A total of 190 consecutively included individuals with acute stroke Methods: A follow-up questionnaire, relating to physical activity level using the Saltin-Grimby Physical Activity Scale, was sent to participants in The Fall Study of Gothenburg 1 year after stroke. Predictors of physical inactivity at baseline were identified using univariable and multivariable logistic regression analyses. RESULTS: Physical inactivity 1 year after stroke was reported by 70 (37%) of the 190 patients who answered the questionnaire and was associated with physical inactivity before the stroke, odds ratio (OR) 4.07 (95% confidence interval (95% CI) 1.69-9.80, p = 0.002); stroke severity (assessed by National Institutes of Health Stroke Scale (NIHSS), score 1-4), OR 2.65 (95% CI) 1.04-6.80, p = 0.042) and fear of falling in acute stroke, OR 2.37 (95% CI 1.01-5.60, p = 0.048). CONCLUSION: Almost 4 in 10 participants reported physical inactivity 1 year after stroke. Physical inactivity before the stroke, stroke severity and fear of falling in acute stroke are the 3 main factors that predict physical inactivity 1 year after stroke.

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.

Implementation of evidence-based assessment of upper extremity in stroke rehabilitation: From evidence to clinical practice.

OBJECTIVE: There is an evidence-practice gap in assessment of the upper extremities during acute and subacute stroke rehabilitation. The aim of this study was to target this gap by describing and evaluating the implementation of, and adherence to, an evidence--based clinical practice guideline for occupational therapists and physiotherapists. METHODS: The upper extremity assessment implementation process at Sahlgrenska University Hospital comprised 5 stages: mapping clinical practice, identifying evidence-based outcome measures, development of a guideline, implementation, and evaluation. A systematic theoretical framework was used to guide and facilitate the implementation process. A survey, answered by 44 clinicians (23 physiotherapists and 21 occupational therapists), was used for evaluation. RESULTS: The guideline includes 6 primary standard-ized assessments (Shoulder Abduction, Finger Extension (SAFE), 2 items of the Actions Research Arm Test (ARAT-2), Fugl-Meyer Assessment of Upper Extremity (FMA-UE), Box and Block Test (BBT), 9-Hole Peg Test (9HPT), and grip strength (Jamar hand dynamometer)) per-formed at specified time-points post-stroke. More than 80% (35 to 42) clinicians reported reported being content with the guideline and the implementation process. Approximately 60-90% of the clinicians reported good adherence to specific assessments, and approximately 50% report-ed good adherence to the agreed time-points. Comprehensive scales were more difficult to implement compared with the shorter screening scales. High levels of work rotation among staff, and the need to prioritize other assessments during the first week after stroke, hindered to implementation. CONCLUSION: The robustness of evidence, adequate support and receptive context facilitated the implementation process. The guideline enables a more structured, knowledge-based and consistent assessment, and thereby supports clinical decision-making and patient involvement.

Long-term risk of stroke and myocardial infarction in middle-aged men with a hypertensive response to exercise: a 44-year follow-up study.

INTRODUCTION: Data on the prognostic value of hypertensive response to exercise in cardiovascular disease are limited. The aim was to determine whether SBP reactions during exercise have any prognostic value in relation to the long-term risk of stroke and myocardial infarction (MI). PATIENTS AND METHODS: A representative cohort of men from Gothenburg, Sweden, born in 1913, who performed a maximum exercise test at age 54 years, (n = 604), was followed-up for a maximum of 44 years with regard to stroke and MI. RESULTS: Among the 604 men, the mean resting and maximum SBP was 141.5 (SD 18.8) and 212.1 (SD 24.6) mmHg, respectively. For maximum SBP, the risk of stroke increased by 34% (hazard ratio 1.34, 95% confidence interval 1.11-1.61) per 1-SD increase, while no risk increase was observed for MI. The highest risk of stroke among blood pressure groups was observed among men with a resting SBP of at least 140 mmHg and a maximum SBP of at least 210 mmHg with an hazard ratio of 2.09 (95% confidence interval 1.29-3.40), compared with men with a resting SBP of less than 140 mmHg and a maximum SBP of less than 210 mmHg, independent of smoking, blood glucose, cholesterol and BMI. CONCLUSION: Among middle-aged men with high resting and maximum blood pressure during maximum exercise workload, an increased risk of stroke was observed but not for MI. Further studies with larger sample sizes are needed to investigate the underlying mechanisms of the increased risk of stroke among individuals with hypertensive response to exercise.

Secular trends in cardiovascular risk factors among women aged 45-54 years in Gothenburg, Sweden, from 1980 to 2014.

BACKGROUND: A declining trend in mean cholesterol levels and smoking has been observed in high-income western countries during the last few decades, whereas obesity rates have increased. Simultaneously, mortality from coronary heart disease has decreased. The aim of the present study was to determine whether the trends in cardiovascular risk factors have continued in successive cohorts of middle-aged women over a period of 34 years. METHODS: Six population-based, cross-sectional samples of women (n = 2294) mean age: 49.8 years (range: 45-54), living in Gothenburg, Sweden, were investigated between 1980 and 2014. RESULTS: Body mass index (BMI) increased over time, with a mean BMI of 24.7 kg/m2 in 1980 to 25.7 kg/m2 in 2013-2014, corresponding to a weight gain of 4.5 kg, together with an increase in the proportion of obese individuals (BMI ≥ 30 kg/m2) from 10.4 to 16.6% (p = 0.0012). The proportion of smokers and women with hypertension decreased from 34.5 to 12.8% (p = 0.0006) and from 37.7 to 24.5% (p < 0.0001) respectively. Mean total serum cholesterol levels decreased from 6.23 (SD 1.09) mmol/L in 1980 to 5.43 (SD 0.98) mmol/L in 2013-2014 (p < 0.0001). Self-reported leisure time regular exercise increased from 7.8% in 1980 to 35.6% in 2013-2014 (p < 0.0001). For women born in 1963, the prevalence ratio of not having any of five major cardiovascular risk factors was 1.82 (95% confidence interval (CI) 1.38-2.41), compared with women born in 1925-1934. CONCLUSION: The trend towards increasing obesity, more leisure-time physical activity and less smoking remains, while the decrease in serum cholesterol appears to have abated.

Early prediction of physical inactivity in 215 individuals 6 months after a mild stroke: The fall study of Gothenburg.

OBJECTIVE: To determine the frequency of, and factors associated with, physical inactivity 6 months post-stroke. DESIGN: Prospective longitudinal cohort. PATIENTS: A total of 215 consecutively included individuals with mild acute stroke from the Fall Study of Gothenburg. METHODS: Physical activity level was assessed using the 4-level Saltin-Grimby Physical Activity Scale. Associations between independent variables and the dependent variable physical inactivity 6 months post-stroke were identified using univariable and multivariable logistic regression analyses. RESULTS: At 6 months post-stroke, 81 individuals (37.7%) reported physical inactivity. Physical inactivity at 6 months after a mild stroke were associated with: stroke severity, odds ratio (OR) 1.29 (95% confidence interval (95% CI) 1.01-1.66, p = 0.043); physical inactivity prior to stroke, OR 2.89 (95% CI 1.39-6.04, p = 0.0046); moderate postural control, OR 6.71 (95% CI 2.48-18.16, p = 0.0002); poor postural control, OR 2.55 (95% CI 1.19-5.48, p = 0.016); and number of drugs in acute stroke, OR 1.20 (95% CI 1.06-1.35, p = 0.0046). CONCLUSION: In this exploratory study, almost 40% of subjects reported physical inactivity 6 months after an acute mild stroke. Predictors of physical inactivity were physical inactivity before stroke and greater stroke severity, impaired postural control and a higher number of drugs in acute stroke.

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.

Lifetime risk of stroke in the general male population.

OBJECTIVES: Most previous studies of incidence rates of stroke are from register studies, while data from prospective cohort studies are limited. The aim of the present study was to describe hazard rates, prevalence and cumulative proportion free from stroke during a lifelong follow-up of a representative sample of middle-aged men sampled from the general population. METHODS: A population-based sample of 855 men, all born in 1913, was investigated at 50 years of age and followed up with repeated medical examinations at age 54, 60, 67, 75 and 80. Data from hospital records and the Cause of Death Register were collected, and all stroke events during 48 years of follow-up were registered. Medical records were scrutinized in order to confirm and validate the stroke diagnoses. RESULTS: One man was excluded because of stroke prior to baseline, while 176 of the remaining 854 men (20.7%) suffered a first-ever stroke during follow-up. The total 5-year stroke risk (hazard rate) increased with age, from 3.54 (95% CI: 0-7.55) per 1000 persons at risk at age 50 years, to 119.05 (95% CI: 45.39-192.70) at age 90 years. The stroke prevalence peaked at age 80 and older, with about 120 cases per 1000 years of observation. The survival rate (cumulative proportion free from stroke) at age 98 was 50.0%. CONCLUSION: One out of five men in this population sample suffered a stroke of any type during follow-up from 50 to 98 years of age and the cumulative incidence was close to 50%.

Increased muscle tone and contracture late after ischemic stroke.

BACKGROUND: Systematic studies on increased muscle tone and spasticity late after ischemic stroke, without any selection, are limited. Therefore, we aimed to determine the prevalence of increased muscle tone, classical spasticity and contracture and predictors of increased muscle tone seven years after stroke. METHODS: Consecutive patients with acute ischemic stroke <70 years of age (n = 411) were recruited to the Sahlgrenska Academy Study on Ischemic Stroke. Symptoms at index stroke were assessed using the Scandinavian Stroke Scale. Seven years after stroke, survivors (n = 358) were invited for follow-up assessments, of whom 292 agreed to participate and 288 contributed data. Muscle tone according to the Modified Ashworth scale, classical spasticity, and contracture was assessed by a neurologist. The associations between increased muscle tone and characteristics at index stroke and recurrent strokes during follow-up were investigated using logistic regression analysis. RESULTS: Increased muscle tone was recognized in 99 participants (34%): 94 (33%) in the upper limbs, and 72 (25%) in the lower limbs. Classical spasticity was found in 51 participants (18%) and contracture in 26 (9%). Age (odds ratio [OR] 1.03 [95% confidence interval [CI] 1.00-1.06]), arm paresis (OR 1.76 [95% CI 1.40-2.2]), aphasia (OR 1.68 [95% CI 1.12-2.51]), and facial palsy (OR 2.12 [95% CI 1.10-4.07]) were independent predictors of increased muscle tone. CONCLUSIONS: One-third of patients with ischemic stroke before 70 years of age showed increased muscle tone at 7-year follow-up. Half of them also had classical spasticity. Age, arm paresis, aphasia, and facial palsy at index stroke were predictors of increased muscle tone poststroke.

Inter-rater reliability of the Swedish modified version of the Postural Assessment Scale for Stroke Patients (SwePASS) in the acute phase after stroke.

Background: Before implementation of the new scale, the Swedish modified version of the Postural Assessment Scale for Stroke Patients (SwePASS), to clinical practice, it is fundamental to analyze its measurement properties.Objective: To examine the inter-rater reliability of the SwePASS in the acute phase after stroke. Methods: Day 3 to day 7 after admission to a stroke unit, 64 persons with stroke were assessed twice, using the SwePASS, by two physiotherapists. Inter-rater reliability was determined using percentage-agreement and the rank-invariant method: relative position, relative concentration, and relative rank variance. Results: The raters showed a percentage agreement of ≥75% in the assessments using the SwePASS. For 9 of the 12 items, the percentage agreement was >80%. For 8 of the 12 items, there was a statistically significant change in position, revealed in relative position values between 0.08 and 0.15. Three items had statistically significant positive relative concentration values between -0.11 and 0.10. Except for a statistically significant negligible relative variance value of 0.01 for the items 1 and 8, there was no relative variance. Conclusions: The SwePASS shows an acceptable inter-rater reliability, albeit with potential for improvement. The reliability can be improved by a consensus how to interpret the scale between the raters prior to implementation in the clinic.

Drug Treatment, Postural Control, and Falls: An Observational Cohort Study of 504 Patients With Acute Stroke, the Fall Study of Gothenburg.

OBJECTIVE: To identify whether, and to what extent, treatment with cardiovascular drugs and neurotropic drugs are associated with postural control and falls in patients with acute stroke. DESIGN: Observational cohort study. SETTING: A stroke unit at a university hospital. PARTICIPANTS: A consecutive sample of patients (N=504) with acute stroke. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Postural control was assessed using the modified version of the Postural Assessment Scale for Stroke Patients. Data including baseline characteristics, all drug treatments, and falls were derived from medical records. Univariable and multivariable logistic regression and Cox proportional hazards models were used to analyze the association of drug treatment and baseline characteristics with postural control and with falls. RESULTS: In the multivariable logistic regression analysis, factors significantly associated with impaired postural control were treatment with neurotropic drugs (eg, opioids, sedatives, hypnotics, antidepressants) with an odds ratio (OR) of 1.73 (95% confidence interval [CI], 1.01-2.97, P=.046); treatment with opioids (OR 9.23, 95% CI, 1.58-54.00, P=0.014); age (OR 1.09, 95% CI, 1.07-1.12, P<.0001), stroke severity, which had a high National Institutes of Health Stroke Scale-score (OR 1.29, 95% CI, 1.15-1.45, P<.0001), and sedentary life style (OR 4.32, 95% CI, 1.32-14.17, P=.016). No association was found between neurotropic drugs or cardiovascular drugs and falls. CONCLUSIONS: Treatment with neurotropic drugs, particularly opioids, in the acute phase after stroke, is associated with impaired postural control. Since impaired postural control is the major cause of falls in patients with acute stroke, these results suggest opioids should be used with caution in these patients.

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.