ABSTRACT
BACKGROUND: Electrical cardioversion (ECV) is frequently performed in symptomatic atrial fibrillation. OBJECTIVE: This study aimed to assess the association of ECV with infarcts on brain magnetic resonance imaging (bMRI) and clinical outcomes. METHODS: The Swiss Atrial Fibrillation Cohort Study included 2386 patients; 1731 patients were evaluated by bMRI. ECVs were recorded by questionnaire. Patients were assigned to categories by number of ECVs performed before enrollment (0, 1, ≥2). A bMRI study was conducted at baseline and after 2 years (n = 1227) and analyzed for large noncortical or cortical infarcts and small noncortical infarcts. Clinical outcomes were recorded during follow-up. Associations of ECV and outcome measures were assessed by multivariate analyses. RESULTS: There was no independent association between the number of ECVs and infarct prevalence (large noncortical or cortical infarcts and small noncortical infarcts) on baseline bMRI (ECV 1 vs 0: odds ratio [OR], 0.95 [95% CI, 0.68-1.24]; ECV ≥2 vs 0: OR, 1.04 [0.72-1.44]) or between ECVs performed during follow-up and new infarcts on bMRI at 2 years (OR, 1.46 [0.54-3.31]). ECVs were not associated with overt stroke or transient ischemic attack (ECV 1 vs 0: hazard ratio [HR], 1.36 [0.88-2.10]; ECV ≥2 vs 0: HR, 1.53 [0.94-2.48]), hospitalization for heart failure (ECV 1 vs 0: HR, 1.06 [0.82-1.37]; ECV ≥2 vs 0: HR, 1.03 [0.77-1.38]), or death (ECV 1 vs 0: HR, 0.90 [0.70-1.15]; ECV ≥2 vs 0: HR, 0.91 [0.69-1.20]). CONCLUSION: There was no association between ECV performed before enrollment and cerebral infarcts on baseline bMRI or between ECV performed during follow-up and new infarcts at 2 years. Moreover, ECV was not associated with clinical events.
ABSTRACT
PURPOSE: Lower extremity physical function (LEPF) is a key component for mobility and is impacted in stroke-related disability. A reduction in LEPF can have a significant impact on an individual's Quality of Life (QoL). The aim of this study is to characterise the relationship between LEPF and QoL. METHODS: The MOBITEC-Stroke Study is a longitudinal cohort-study including patients with their first occurrence of ischaemic stroke. Using a linear mixed-effects model, the relationship between LEPF (timed up-and-go performance (TUG); predictor) and QoL (Stroke Specific Quality of Life scale (SS-QoL); outcome) at 3 and 12 months post stroke was investigated and adjusted for sex, age, Instrumental Activities of Daily Living (IADL), fear of falling (Falls Efficacy Scale-International Version, FES-I), and stroke severity (National Institute of Stroke Severity scale, NIHSS), accounting for the repeated measurements. RESULTS: Data of 51 patients (65 % males, 35% females) were analysed. The mean age was 71.1 (SD 10.4) years, median NIHSS score was 2.0. SS-QoL was 201.5 (SD 20.5) at 3 months and 204.2 (SD 17.4) at 12 months; the mean change was 2.7 (95% CI -2.4 to 7.7), p= 0.293. A positive association was found between baseline TUG performance (estimate log score -13.923; 95% CI -27.495 to -0.351; p=0.048) and change in SS-QoL score in multivariate regression analysis. CONCLUSION: Higher LEPF (i.e better TUG performance) at baseline, was associated with an improvement in QoL from 3- to 12-months post stroke. These results highlight the critical role of physical function, particularly baseline LEPF, in influencing the QoL of stroke survivors.
ABSTRACT
BACKGROUND: Gait changes with aging have been investigated, but few studies have examined a wide range of gait parameters across the adult lifespan. This study aimed to investigate gait differences across age groups stratified by sex. METHODS: This cross-sectional study included 629 healthy, normal-weight (i.e., BMI < 30 kg/m2) participants from Switzerland of the COmPLETE cohort study, aged 20 to over 90 years. Gait metrics were assessed using an inertial measurement unit (IMU)-based gait analysis system, including speed, cycle duration variability, asymmetry, stride length, cycle duration, cadence, double support, stance (time foot is on the ground during a gait cycle), swing (time foot is in the air during a gait cycle), loading (early part of the stance phase), foot-flat (mid-stance phase when foot is flat), and pushing (late stance phase leading to toe-off) phases. Percentile curves were calculated using generalized additive models for location, scale, and shape. RESULTS: Gait data from 545 participants (273 men and 272 women) were analyzed. Participants were equally distributed across the seven age decades, with an average of 40 men and 40 women representing every decade. Both men and women showed a reduction in gait speed and stride length, and an increase in cycle duration variability and asymmetry with aging. Gait speed and stride length declined across the age groups, with a significant difference found in participants aged 80 to 91 compared to younger age groups. SIGNIFICANCE: Age-related changes in gait parameters were seen in both men and women. These may be attributed to the typical decline in muscle strength, balance, coordination, and neuromuscular function. The results of this study contribute to the understanding of gait changes throughout the lifespan and can be used for comparison with other populations and as reference values for individual patients.