ABSTRACT
BACKGROUND: Progressive loss of standing balance is a feature of Friedreich's ataxia (FRDA). OBJECTIVES: This study aimed to identify standing balance conditions and digital postural sway measures that best discriminate between FRDA and healthy controls (HC). We assessed test-retest reliability and correlations between sway measures and clinical scores. METHODS: Twenty-eight subjects with FRDA and 20 HC completed six standing conditions: feet apart, feet together, and feet tandem, both with eyes opened (EO) and eyes closed. Sway was measured using a wearable sensor on the lumbar spine for 30 seconds. Test completion rate, test-retest reliability with intraclass correlation coefficients, and areas under the receiver operating characteristic curves (AUCs) for each measure were compared to identify distinguishable FRDA sway characteristics from HC. Pearson correlations were used to evaluate the relationships between discriminative measures and clinical scores. RESULTS: Three of the six standing conditions had completion rates over 70%. Of these three conditions, natural stance and feet together with EO showed the greatest completion rates. All six of the sway measures' mean values were significantly different between FRDA and HC. Four of these six measures discriminated between groups with >0.9 AUC in all three conditions. The Friedreich Ataxia Rating Scale Upright Stability and Total scores correlated with sway measures with P-values <0.05 and r-values (0.63-0.86) and (0.65-0.81), respectively. CONCLUSION: Digital postural sway measures using wearable sensors are discriminative and reliable for assessing standing balance in individuals with FRDA. Natural stance and feet together stance with EO conditions suggest use in clinical trials for FRDA. © 2024 International Parkinson and Movement Disorder Society.
Subject(s)
Friedreich Ataxia , Postural Balance , Humans , Friedreich Ataxia/physiopathology , Friedreich Ataxia/diagnosis , Postural Balance/physiology , Male , Female , Adult , Middle Aged , Reproducibility of Results , Young Adult , Standing PositionABSTRACT
BACKGROUND: Maintaining balance is crucial for independence and quality of life. Loss of balance is a hallmark of spinocerebellar ataxia (SCA). OBJECTIVE: The aim of this study was to identify which standing balance conditions and digital measures of body sway were most discriminative, reliable, and valid for quantifying balance in SCA. METHODS: Fifty-three people with SCA (13 SCA1, 13 SCA2, 14 SCA3, and 13 SCA6) and Scale for Assessment and Rating of Ataxia (SARA) scores 9.28 ± 4.36 and 31 healthy controls were recruited. Subjects stood in six test conditions (natural stance, feet together and tandem, each with eyes open [EO] and eyes closed [EC]) with an inertial sensor on their lower back for 30 seconds (×2). We compared test completion rate, test-retest reliability, and areas under the receiver operating characteristic curve (AUC) for seven digital sway measures. Pearson's correlations related sway with the SARA and the Patient-Reported Outcome Measure of Ataxia (PROM ataxia). RESULTS: Most individuals with SCA (85%-100%) could stand for 30 seconds with natural stance EO or EC, and with feet together EO. The most discriminative digital sway measures (path length, range, area, and root mean square) from the two most reliable and discriminative conditions (natural stance EC and feet together EO) showed intraclass correlation coefficients from 0.70 to 0.91 and AUCs from 0.83 to 0.93. Correlations of sway with SARA were significant (maximum r = 0.65 and 0.73). Correlations with PROM ataxia were mild to moderate (maximum r = 0.56 and 0.34). CONCLUSION: Inertial sensor measures of extent of postural sway in conditions of natural stance EC and feet together stance EO were discriminative, reliable, and valid for monitoring SCA. © 2024 International Parkinson and Movement Disorder Society.
Subject(s)
Postural Balance , Spinocerebellar Ataxias , Humans , Postural Balance/physiology , Male , Female , Middle Aged , Spinocerebellar Ataxias/physiopathology , Spinocerebellar Ataxias/diagnosis , Adult , Aged , Reproducibility of Results , Severity of Illness IndexABSTRACT
SCA6 patients with the same size CAG repeat allele can vary significantly in age at onset (AAO) and clinical progression. The specific external factors affecting SCA6 have yet to be investigated. We assessed the effect of early life events on AAO, severity, and progression in SCA6 patients using a social determinant of health approach. We performed a survey of biological and social factors in SCA6 patients enrolled in the SCA6 Network at the University of Chicago. AAO of ataxia symptoms and patient-reported outcome measure (PROM) of ataxia were used as primary outcome measures. Least absolute shrinkage and selection operation (LASSO) regressions were used to identify which early life factors are predictive of SCA6 AAO, severity, and progression. Multiple linear regression models were then used to assess the degree to which these determinants influence SCA6 health outcomes. A total of 105 participants with genetically confirmed SCA6 completed the assessments. SCA6 participants with maternal difficulty during pregnancy, active participation in school sports, and/or longer CAG repeats were determined to have earlier AAO. We found a 13.44-year earlier AAO for those with maternal difficulty in pregnancy than those without (p = 0.008) and a 12.31-year earlier AAO for those active in school sports than those who were not (p < 0.001). Higher education attainment was associated with decreased SCA6 severity and slower progression. Early life biological and social factors can have a strong influence on the SCA6 disease course, indicating that non-genetic factors can contribute significantly to SCA6 health outcomes.
Subject(s)
Age of Onset , Disease Progression , Spinocerebellar Ataxias , Humans , Female , Male , Adult , Middle Aged , Spinocerebellar Ataxias/genetics , Spinocerebellar Ataxias/epidemiology , Severity of Illness Index , Social Determinants of Health , Young AdultABSTRACT
Background: Decisional support is important to people with intellectual disabilities. This review explores: i) how everyday decision-making is perceived and/or experienced by adults with intellectual disability, their care partners and direct care support workers (DCSWs); ii) techniques/approaches used to support everyday decision-making; and iii) barriers/facilitators encountered. Method: PRISMA systematic review methodology using PsycInfo, PubMED, Web of Science, CINAHL and Scopus. Results: Eighty-one papers were included [qualitative (n = 69), quantitative (n = 7), mixed methods (n = 5)]. Adults with intellectual disability reported wanting to make decisions and needing support. Care partner support was affected by concerns about safety and decisional capacity. DCSWs reported difficulty balancing client decisions and care partner concerns when providing support. Supported Decision-Making (SDM) was identified as a key method of support. Barriers and facilitators were interconnected and impacted by stressors. Conclusion: This topic is under-researched and ill-defined. Supported decision-making is an increasingly popular approach whose application requires further exploration.
ABSTRACT
The "Kickstart to Recovery" program is a collaboration between Irish mental health occupational therapists and the Football Association of Ireland. This pilot study aimed to investigate whether participants experienced changes in quality of life, recovery, social gains, and the meaning of football following participation in the program. A quantitative pre-post study design was employed, with 27 participants completing a questionnaire consisting of outcome measures aimed to measure the above changes. Findings revealed statistically significant improvements in the Short Form 36 Health Survey Questionnaire (SF-36) "Energy/Fatigue" domain for the total sample and the Recovery Assessment Survey-Domains and Scales (RAS-DS) "Mastering My Illness" domain for first-time program participants. Statistically significant results were found for domains of "Social Functioning" and "Emotional Wellbeing" in groups incorporating additional social elements. The Engagement in Meaningful Activities Survey (EMAS) showed no change for the personal meaning participants attributed to football; however, high pre-test scores were noted. The "Kickstart to Recovery" program is attributed as a possible factor contributing to these results.
Subject(s)
Mental Health Services , Quality of Life , Humans , Pilot Projects , Mental Health , Team SportsABSTRACT
BACKGROUND: Earlier pubertal timing is associated with higher rates of depressive disorders in adolescence. Neuroimaging studies report brain structural associations with both pubertal timing and depression. However, whether brain structure mediates the relationship between pubertal timing and depression remains unclear. METHODS: The current registered report examined associations between pubertal timing (indexed via perceived pubertal development), brain structure (cortical and subcortical metrics, and white matter microstructure) and depressive symptoms in a large sample (N = â¼5000) of adolescents (aged 9-13 years) from the Adolescent Brain Cognitive Development (ABCD) Study. We used three waves of follow-up data when the youth were aged 10-11 years, 11-12 years, and 12-13 years, respectively. We used generalised linear-mixed models (H1) and structural equation modelling (H2 & H3) to test our hypotheses. HYPOTHESES: We hypothesised that earlier pubertal timing at Year 1 would be associated with increased depressive symptoms at Year 3 (H1), and that this relationship would be mediated by global (H2a-b) and regional (H3a-g) brain structural measures at Year 2. Global measures included reduced cortical volume, thickness, surface area and sulcal depth. Regional measures included reduced cortical thickness and volume in temporal and fronto-parietal areas, increased cortical volume in the ventral diencephalon, increased sulcal depth in the pars orbitalis, and reduced fractional anisotropy in the cortico-striatal tract and corpus callosum. These regions of interest were informed by our pilot analyses using baseline ABCD data when the youth were aged 9-10 years. RESULTS: Earlier pubertal timing was associated with increased depressive symptoms two years later. The magnitude of effect was stronger in female youth and the association remained significant when controlling for parental depression, family income, and BMI in females but not in male youth. Our hypothesised brain structural measures did not however mediate the association between earlier pubertal timing and later depressive symptoms. CONCLUSION: The present results demonstrate that youth, particularly females, who begin puberty ahead of their peers are at an increased risk for adolescent-onset depression. Future work should explore additional biological and socio-environmental factors that may affect this association so that we can identify targets for intervention to help these at-risk youth.
Subject(s)
Depression , Puberty , Humans , Male , Adolescent , Female , BrainABSTRACT
BACKGROUND: Quantitative assessment of severity of ataxia-specific gait impairments from wearable technology could provide sensitive performance outcome measures with high face validity to power clinical trials. OBJECTIVES: The aim of this study was to identify a set of gait measures from body-worn inertial sensors that best discriminate between people with prodromal or manifest spinocerebellar ataxia (SCA) and age-matched, healthy control subjects (HC) and determine how these measures relate to disease severity. METHODS: One hundred and sixty-three people with SCA (subtypes 1, 2, 3, and 6), 42 people with prodromal SCA, and 96 HC wore 6 inertial sensors while performing a natural pace, 2-minute walk. Areas under the receiver operating characteristic curves (AUC) were compared for 25 gait measures, including standard deviations as variability, to discriminate between ataxic and normal gait. Pearson's correlation coefficient assessed the relationships between the gait measures and severity of ataxia. RESULTS: Increased gait variability was the most discriminative gait feature of SCA; toe-out angle variability (AUC = 0.936; sensitivity = 0.871; specificity = 0.896) and double-support time variability (AUC = 0.932; sensitivity = 0.834; specificity = 0.865) were the most sensitive and specific measures. These variability measures were also significantly correlated with the scale for the assessment and rating of ataxia (SARA) and disease duration. The same gait measures discriminated gait of people with prodromal SCA from the gait of HC (AUC = 0.610, and 0.670, respectively). CONCLUSIONS: Wearable inertial sensors provide sensitive and specific measures of excessive gait variability in both manifest and prodromal SCAs that are reliable and related to the severity of the disease, suggesting they may be useful as clinical trial performance outcome measures. © 2021 International Parkinson and Movement Disorder Society.
Subject(s)
Gait Disorders, Neurologic , Spinocerebellar Ataxias , Wearable Electronic Devices , Gait , Humans , Spinocerebellar Ataxias/diagnosis , WalkingABSTRACT
PURPOSE: This systematic review examines the impact of assistive technology (AT) on educational and psychosocial outcomes for students with disabilities (SWDs) in higher education. MATERIALS AND METHODS: Qualitative, quantitative and mixed method studies were identified through systematic searches of five databases: PsycINFO, PubMed, CINAHL, ERIC and Web of Science (Social Science Citation Index). The search was conducted in January 2018. Thematic synthesis was carried out to collate findings across papers and the methodological quality of included papers was assessed using a Mixed Methods Appraisal Tool (MMAT). RESULTS: Twenty-six papers were included for analysis. Four analytic themes were identified; "AT as an enabler of academic engagement"; "barriers to effective AT use can hinder academic engagement"; "the transformative possibilities of AT from a psychological perspective"; and "AT as an enabler of participation". CONCLUSIONS: This systematic review identifies that AT can promote educational, psychological and social benefits for SWD. However, AT users and AT officers must be aware of certain factors, such as inadequate AT training, inadequacies of devices, availability of external support and the challenge of negotiating multiple information sources, can hinder effective AT use and thus restrict engagement in the higher education environment. Future AT practices should focus on harnessing the potential of mainstream devices as AT for all students, thus facilitating inclusion and reducing stigma.IMPLICATIONS FOR REHABILITATIONStudents with disabilities face academic, psychological and social challenges within the higher education environment.Assistive technology (AT) use can enable academic engagement and social participation and be transformative from a psychological perspective.Disability support staff in higher education should ensure that the AT needs of students with disabilities are met in order to enhance the educational experience.Harnessing the potential of mainstream devices as AT for all students will facilitate inclusion and reduce stigma.
Subject(s)
Disabled Persons/education , Disabled Persons/psychology , Disabled Persons/rehabilitation , Self-Help Devices , Humans , UniversitiesABSTRACT
BACKGROUND: The manual extraction of valuable data from electronic medical records is cumbersome, error-prone, and inconsistent. By automating extraction in conjunction with standardized terminology, the quality and consistency of data utilized for research and clinical purposes would be substantially improved. Here, we set out to develop and validate a framework to extract pertinent clinical conditions for traumatic brain injury (TBI) from computed tomography (CT) reports. METHODS: We developed tbiExtractor, which extends pyConTextNLP, a regular expression algorithm using negation detection and contextual features, to create a framework for extracting TBI common data elements from radiology reports. The algorithm inputs radiology reports and outputs a structured summary containing 27 clinical findings with their respective annotations. Development and validation of the algorithm was completed using two physician annotators as the gold standard. RESULTS: tbiExtractor displayed high sensitivity (0.92-0.94) and specificity (0.99) when compared to the gold standard. The algorithm also demonstrated a high equivalence (94.6%) with the annotators. A majority of clinical findings (85%) had minimal errors (F1 Score ≥ 0.80). When compared to annotators, tbiExtractor extracted information in significantly less time (0.3 sec vs 1.7 min per report). CONCLUSION: tbiExtractor is a validated algorithm for extraction of TBI common data elements from radiology reports. This automation reduces the time spent to extract structured data and improves the consistency of data extracted. Lastly, tbiExtractor can be used to stratify subjects into groups based on visible damage by partitioning the annotations of the pertinent clinical conditions on a radiology report.
Subject(s)
Algorithms , Brain Injuries, Traumatic/diagnosis , Common Data Elements/standards , Brain Injuries, Traumatic/diagnostic imaging , Electronic Health Records , Humans , Tomography, X-Ray ComputedABSTRACT
OBJECTIVE: Traumatic brain injuries (TBIs) are largely underdiagnosed and may have persistent refractory consequences. Current assessments for acute TBI are limited to physical examination and imaging. Biomarkers such as glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCH-L1), and S100 calcium-binding protein B (S100B) have shown predictive value as indicators of TBI and potential screening tools. METHODS: In total, 37 controls and 118 unique trauma subjects who received a clinically ordered head computed tomography (CT) in the emergency department of a level 1 trauma center were evaluated. Blood samples collected at 0-8 hours (initial) and 12-32 hours (delayed) postinjury were analyzed for GFAP, UCH-L1, and S100B concentrations. These were then compared in CT-negative and CT-positive subjects. RESULTS: Median GFAP, UCH-L1, and S100B concentrations were greater in CT-positive subjects at both timepoints compared with CT-negative subjects. In addition, median UCH-L1 and S100B concentrations were lower at the delayed timepoint, whereas median GFAP concentrations were increased. As predictors of a positive CT of the head, GFAP outperformed UCH-L1 and S100B at both timepoints (initial: 0.89 sensitivity, 0.62 specificity; delayed: 0.94 sensitivity, 0.67 specificity). GFAP alone also outperformed all possible combinations of biomarkers. CONCLUSIONS: GFAP, UCH-L1, and S100B demonstrated utility for rapid prediction of a CT-positive TBI within 0-8 hours of injury. GFAP exhibited the greatest predictive power at 12-32 hours. Furthermore, these results suggest that GFAP alone has greater utility for predicting a positive CT of the head than UCH-L1, S100B, or any combination of the 3.
Subject(s)
Brain Injuries, Traumatic/diagnosis , Glial Fibrillary Acidic Protein/blood , S100 Calcium Binding Protein beta Subunit/blood , Ubiquitin Thiolesterase/blood , Adolescent , Adult , Aged , Aged, 80 and over , Brain Injuries, Traumatic/blood , Brain Injuries, Traumatic/diagnostic imaging , Emergency Service, Hospital , Female , Humans , Male , Mass Screening , Middle Aged , Sensitivity and Specificity , Tomography, X-Ray Computed , Young AdultABSTRACT
Reporting of sports-related concussions (SRCs) has risen dramatically over the last decade, increasing awareness of the need for treatment and prevention of SRCs. To date most prevention studies have focused on equipment and rule changes to sports in order to reduce the risk of injury. However, increased neck strength has been shown to be a predictor of concussion rate. In the TRAIN study, student-athletes will follow a simple neck strengthening program over the course of three years in order to better understand the relationship between neck strength and SRCs. Neck strength of all subjects will be measured at baseline and biannually over the course of the study using a novel protocol. Concussion severity and duration in any subject who incurs an SRC will be evaluated using the Sports Concussion Assessment Tool 5th edition, a questionnaire based tool utilizing several tests that are commonly affected by concussion, and an automated eye tracking algorithm. Neck strength, and improvement of neck strength, will be compared between concussed and non-concussed athletes to determine if neck strength can indeed reduce risk of concussion. Neck strength will also be analyzed taking into account concussion severity and duration to find if a strengthening program can provide a protective factor to athletes. The study population will consist of student-athletes, ages 12-23, from local high schools and colleges. These athletes are involved in a range of both contact and non-contact sports.