Rasch analysis of the Unidimensional Self-Efficacy Scale in Neuromuscular Disorders and comparison between sex, age, and diagnoses.

INTRODUCTION/AIMS: Self-efficacy reflects a person's perceptions of their capabilities for specific tasks and influences motivation and performance. The Unidimensional Self-Efficacy in Neuromuscular Disorders (USE-NM) was modified from the Multiple Sclerosis (MS) USE-MS scale and administered to patients attending a specialist neuromuscular clinic. The aim was to investigate this measure in neuromuscular disorders and to compare between patient sex, age, and diagnosis. METHODS: The USE-NM was posted to patients recruited from a specialist neuromuscular clinic at the Walton Centre. Responses were subjected to Rasch analysis using RUMM2030 software and descriptive statistics were performed using SPSS version 28. RESULTS: One hundred and ninety-eight patients (56.1% male) grouped by age (<50; 50-59; 60-69; and >69 years) and with varied NM disorders returned the USE-NM. It did not meet the Rasch model expectations due to disordered thresholds of items 6 and 8 ("Sometimes I feel inadequate as a person because of my neuromuscular disorder" and "I feel that my social life would be better if I did not have a neuromuscular disorder"). Following item re-scoring, the modified USE-NM satisfied the Rasch model with a unidimensional scale free from differential item functioning and an overall chi-square probability of 0.146 with good reliability and validity. Post hoc nonparametric testing showed no significant difference in fatigue between sex, age, and neuromuscular diagnoses. DISCUSSION: The Rasch-modified USE-NM offers a measure of self-efficacy for neuromuscular disorders encountered in a typical specialist clinic. Future considerations could be given to assessing any benefits of multidisciplinary team input, across a specialist neuromuscular service.

Prevalence, treatment and correlates of depression in multiple sclerosis.

BACKGROUND: The prevalence of depression in Multiple Sclerosis (MS) is often assessed by administering patient reported outcome measures (PROMs) examining depressive symptomatology to population cohorts; a recent review summarised 12 such studies, eight of which used the Hospital Anxiety and Depression Scale-Depression (HADS-D). In clinical practice, depression is diagnosed by an individual structured clinical interview; diagnosis often leads to treatment options including antidepressant medication. It follows that an MS population will include those whose current depressive symptoms meet threshold for depression diagnosis, plus those who previously met diagnostic criteria for depression and have been treated such that depressive symptoms have improved below that threshold. We examined a large MS population to establish a multi-attribute estimate of depression, taking into account probable depression on HADS-D, as well as anti-depressant medication use and co-morbidity data reporting current treatment for depression. We then studied associations with demographic and health status measures and the trajectories of depressive symptoms over time. METHODS: Participants were recruited into the UK-wide Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) study, with demographic and disease data from clinical records, PROMs collected at intervals of at least 9 months, as well as co-morbidities and medication. Interval level conversions of PROM data followed Rasch analysis. Logistic regression examined associations of demographic characteristics and symptoms with depression. Finally, a group-based trajectory model was applied to those with depression. RESULTS: Baseline data in 5633 participants showed the prevalence of depression to be 25.3 % (CI: 24.2-26.5). There were significant differences in prevalence by MS subtype: relapsing 23.2 % (CI: 21.8- 24.5), primary progressive 25.8 % (CI: 22.5-29.3), secondary progressive 31.5 % (CI: 29.0-34.0); disability: EDSS 0-4 19.2 % (CI: 17.8-20.6), EDSS ≥4.5 31.9 % (CI: 30.2-33.6); and age: 42-57 years 27.7 % (CI: 26.0-29.3), above or below this range 23.1 % (CI: 21.6-24.7). Fatigue, disability, self-efficacy and self esteem correlated with depression with a large effect size (>0.8) whereas sleep, spasticity pain, vision and bladder had an effect size >0.5. The logistic regression model (N = 4938) correctly classified 80 % with 93 % specificity: risk of depression was increased with disability, fatigue, anxiety, more comorbidities or current smoking. Higher self-efficacy or self esteem and marriage reduced depression. Trajectory analysis of depressive symptoms over 40 months in those with depression (N = 1096) showed three groups: 19.1 % with low symptoms, 49.2 % with greater symptoms between the threshold of possible and probable depression, and 31.7 % with high depressive symptoms. 29.9 % (CI: 27.6-32.3) of depressed subjects were untreated, conversely of those treated, 26.1 % still had a symptom level consistent with a probable case (CI: 23.5-28.9). CONCLUSION: A multi-attribute estimate of depression in MS is essential because using only screening questionnaires, diagnoses or antidepressant medication all under-estimate the true prevalence. Depression affects 25.3 % of those with MS, almost half of those with depression were either untreated or still had symptoms indicating probable depression despite treatment. Services for depression in MS must be pro-active and flexible, recognising the heterogeneity of outcomes and reaching out to those with ongoing symptoms.

Dyspnea (breathlessness) in amyotrophic lateral sclerosis/motor neuron disease: prevalence, progression, severity, and correlates.

Objective: Dyspnea, or breathlessness, is an important symptom in amyotrophic lateral sclerosis/motor neuron disease (ALS/MND). We examined the measurement properties of the Dyspnea-12. Methods: Rasch analysis enabled conversion of raw Dyspnea-12 scores to interval level metric equivalents. Converted data were used to perform trajectory modeling; those following different trajectories were compared for demographic, clinical, symptom, and functioning characteristics. Logistic regression examined differences between distinct trajectories. Results: In 1022 people, at baseline, mean metric Dyspnea-12 was 7.6 (SD 9.3). 49.8% had dyspnea, severe in 12.6%. Trajectory analysis over 28 months revealed three breathlessness trajectories: group 1 reported none at baseline/follow-up (42.7%); group 2 significantly increased over time (9.4%); group 3 had a much higher level at baseline which rose over follow-up (47.9%). Group 3 had worse outcomes on all symptoms, functioning and quality of life; compared to group 1, their odds of: respiratory onset sixfold greater; King's stage ≥3 2.9 greater; increased odds of being bothered by choking, head drop, fasciculations, and muscle cramps; fatigue and anxiety also elevated (p < .01). Conclusion: Dyspnea is a cardinal symptom in ALS/MND and can be quickly measured using the Dyspnea-12. Raw scores can easily be converted to interval level measurement, for valid change scores and trajectory modeling. Dyspnea trajectories reveal different patterns, showing that clinical services must provide monitoring which is customized to individual patient need. Almost half of this large population had worsening dyspnea, confirming the importance of respiratory monitoring and interventions being integrated into routine ALS care.

Improving the measurement properties of the Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R): deriving a valid measurement total for the calculation of change.

BACKGROUND: The Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) total score is a widely used measure of functional status in Amyotrophic Lateral Sclerosis/Motor Neuron Disease (ALS), but recent evidence has raised doubts about its validity. The objective was to examine the measurement properties of the ALSFRS-R, aiming to produce valid measurement from all 12 scale items. METHOD: Longitudinal ALSFRS-R data were collected between 2013-2020 from 1120 people with ALS recruited from 35 centers, together with other scales in the Trajectories of Outcomes in Neurological Conditions-ALS (TONiC-ALS) study. The ALSFRS-R was analyzed by confirmatory factor analysis (CFA), Rasch Analysis (RA) and Mokken scaling. RESULTS: No definite factor structure of the ALSFRS-R was confirmed by CFA. RA revealed the raw score total to be invalid even at the ordinal level because of multidimensionality; valid interval level subscale measures could be found for the Bulbar, Fine-Motor and Gross-Motor domains but the Respiratory domain was only valid at an ordinal level. All four domains resolved into a single valid, interval level measure by using a bifactor RA. The smallest detectable difference was 10.4% of the range of the interval scale. CONCLUSION: A total ALSFRS-R ordinal raw score can lead to inferential bias in clinical trial results due to its non-linear nature. On the interval level transformation, more than 5 points difference is required before a statistically significant detectable difference can be observed. Transformation to interval level data should be mandatory in clinical trials.

An Exploratory, Randomized, Double-Blind Clinical Trial of Dipraglurant for Blepharospasm.

BACKGROUND: Blepharospasm is treated with botulinum toxin, but obtaining satisfactory results is sometimes challenging. OBJECTIVE: The aim is to conduct an exploratory trial of oral dipraglurant for blepharospasm. METHODS: This study was an exploratory, phase 2a, randomized, double-blind, placebo-controlled trial of 15 participants who were assigned to receive a placebo or dipraglurant (50 or 100 mg) and assessed over 2 days, 1 and 2 hours following dosing. Outcome measures included multiple scales rated by clinicians or participants, digital video, and a wearable sensor. RESULTS: Dipraglurant was well tolerated, with no obvious impact on any of the measurement outcomes. Power analyses suggested fewer subjects would be required for studies using a within-subject versus independent group design, especially for certain measures. Some outcome measures appeared more suitable than others. CONCLUSION: Although dipraglurant appeared well tolerated, it did not produce a trend for clinical benefit. The results provide valuable information for planning further trials in blepharospasm. © 2024 International Parkinson and Movement Disorder Society.

Correlates and trajectories of relapses in relapsing-remitting multiple sclerosis.

BACKGROUND AND AIMS: In people with relapsing-remitting multiple sclerosis (pwRRMS), data from studies on non-pharmacological factors which may influence relapse risk, other than age, are inconsistent. There is a reduced risk of relapses with increasing age, but little is known about other trajectories in real-world MS care. METHODS: We studied longitudinal questionnaire data from 3885 pwRRMS, covering smoking, comorbidities, disease-modifying therapy (DMT), and patient-reported outcome measures, as well as relapses during the past year. We undertook Rasch analysis, group-based trajectory modelling, and multilevel negative binomial regression. RESULTS: The regression cohort of 6285 data sets from pwRRMS over time showed that being a current smoker was associated with 43.9% greater relapse risk; having 3 or more comorbidities increased risk and increasing age reduced risk. Those diagnosed within the last 2 years showed two distinct trajectories, both reducing in relapse frequency but 25.8% started with a higher rate and took 4 years to reduce to the rate of the second group. In the cohort with at least three data points completed, there were three groups: 73.7% followed a low stable relapse rate, 21.6% started from a higher rate and decreased, and 4.7% had an increasing then decreasing pattern. These different trajectory groups showed significant differences in fatigue, neuropathic pain, disability, health status, quality of life, self-efficacy, and DMT use. CONCLUSIONS: These results provide additional evidence for supporting pwRRMS to stop smoking and underline the importance of timely DMT decisions and treatment initiation soon after diagnosis with RRMS.

Multiple Sclerosis vision questionnaire (MSVQ-7): Reliability, validity, precision and discrimination.

BACKGROUND: Visual dysfunction is common in people with Multiple Sclerosis (pwMS), associated with a variety of visual symptoms. Capturing the patient experience of these complex patterns of visual pathology is challenging. A valid and reliable patient reported measure, capable of detecting clinically significant change, would have considerable research and clinical benefits. We examined the properties of the MS Vision Questionnaire (MSVQ-7) in a large MS population. METHODS: Data were collected from participants in the UK-wide Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) study: MS subtype and Expanded Disability Status Scale (EDSS) band from the clinical team, as well as serial packs including the MSVQ-7 and questionnaires on depression, anxiety and stigma. A calibration sample of 1000 pwMS contributing several years of follow-up were split into training and validation samples for a Confirmatory Factor Analysis and Rasch analysis. The Minimal Detectable Change (MDC) was computed as well as the Minimal Clinically Important Change (MIC), by an anchor-based method, for different MS subtypes. RESULTS: The MSVQ-7 is unidimensional and can be fit to the Rasch model with a solution discarding 3% of variance. Providing all 7 items are answered, the total can be converted to an interval-level metric for calculation of change scores and other parametric analyses. The % of missing values did not exceed 1.7%. Among 5478 pwMS, 80% reported visual problems. MSVQ-7 scores were categorised as mild for 36.1%, moderate for 33.6% and severe for 10.3%, and varied by MS subtype. In the follow-up sample of 2227 pwMS, 42.5% changed MSVQ-7 category between baseline and first follow-up (mean 22.6 months). The MIC exceeded the MDC so clinically significant change exceeds measurement error. While MDC was identical for relapsing and progressive MS, MIC varied by MS subtype, with smaller MIC in relapsing MS. Over one-quarter of the follow-up sample reported a clinically significant change in MSVQ-7: 12.2% improved and 13.5% deteriorated. For pwMS recruited within 2 years of diagnosis, 17.3% reported significant change on follow-up, all improving. MSVQ-7 scores showed strong associations with anxiety, depression and stigma (effect sizes>0.8). Duration, EDSS band and MS subtype all had effect sizes 0.2-0.49. A multinomial logistic regression exploring vision disturbance and depression, adjusted for age, gender, MS subtype, duration and disability, showed vision is the strongest significant predictor of depression. Each unit increase in interval MSVQ-7 increases risk by 10% of 'possible' and by 17% of 'probable' depression. CONCLUSIONS: The MSVQ-7 is a brief self-report measure of visual problems for pwMS. It can easily be converted to interval-level measurement for change scores or power calculations and has good precision and discrimination. Visual problems were reported by 80% of pwMS and changed over time, evidencing the need for regular monitoring. MIC varied by MS subtype, indicating that perception of impact changes over the disease course. Visual dysfunction significantly affects depression risk and perceived stigma, highlighting the importance of routine assessment of visual problems in comprehensive care. The MSVQ-7 has strong psychometric properties for adoption as a measure for vision in clinical and research settings.

Measuring disability in multiple sclerosis: the WHODAS 2.0.

INTRODUCTION: Reliable measurement of disability in multiple sclerosis (MS) using a comprehensive, patient self-reported scale, such as the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, would be of clinical and research benefit. METHODS: In the Trajectories of Outcome in Neurological Conditions-MS study, WHODAS 2.0 (WHODAS-36 items for working, WHODAS-32 items if not working, WHODAS-12 items short-form) was examined using Rasch analysis in 5809 people with MS. RESULTS: The 36- and 32-item parallel forms, and the cognitive and physical domains, showed reliability consistent with individual or group use. The 12-item short-form is valid for group use only. Interval level measurement for parametric statistics can be derived from all three scales which showed medium to strong effect sizes for discrimination across characteristics such as age, subtype, and disease duration. Smallest detectable difference for each scale was < 6 on the standardised metric of 0-100 so < 6% of the total range. There was no substantial differential item functioning (DIF) by age, gender, education, working full/part-time, or disease duration; the finding of no DIF for time or sample supports the use of WHODAS 2.0 for longitudinal studies, with the 36- and 32-item versions and the physical and cognitive domains valid for individual patient follow-up. CONCLUSIONS: Disability in MS can be comprehensively measured at interval level by the WHODAS 2.0, and validly monitored over time. Routine use of this self-reported measure in clinical and research practice would give valuable information on the trajectories of disability of individuals and groups.

[Psychometric Evaluation of the 'German Neurological Fatigue Index for Multiple Sclerosis (NFI-MS-G)' in a Sample of Rehabilitation Patients with Multiple Sclerosis]. / Psychometrische Prüfung des deutschsprachigen "Neurologischen Fragebogens zur Müdigkeit bei Multipler Sklerose (NFI-MS-G)" bei Rehabilitanden mit Multipler Sklerose.

PURPOSE: The purpose of this study was to provide a patient-reported outcome measure for people with multiple sclerosis (MS) comprehensively reflecting the construct of fatigue and developed upon the assumptions of the Rasch model. The Neurological Fatigue Index - Multiple Sclerosis (NFI-MS) is based on both a medical and patient-described symptom framework of fatigue and has been validated. Therefore, in this study the German version of the NFI-MS (NFI-MS-G) consisting of a physical and cognitive subscale and a summary scale was validated. METHOD: In this bi-centre-study, 309 people with MS undergoing outpatient rehabilitation or being≥2 months before or after their inpatient rehabilitation completed the German NFI-MS-G twice within 14-21 days together with other questionnaires. Correlation with established questionnaires and Rasch analysis were used for its validation. Additionally, psychometric properties of known-groups validity, internal consistency, test-retest reliability, measurement precision and readability were tested. Finally, the English NFI-MS and German NFI-MS-G were compared with each other to equate the language versions. RESULTS: The NFI-MS-G showed good internal construct validity, convergent and known-groups validity and internal consistency (Cronbach's alpha 0.84-0.93). The physical subscale showed minor local dependencies between items 1 and 7, 2 and 3 and 4 to 6, that could be treated by combining the respective items to testlets. Unidimensionality was found for the physical and cognitive subscales but not for the summary scale. Replacing the summary scale, a 2-domains subtest measuring the higher-order construct of fatigue was created. Good test-retest reliability (Lin's concordance correlation coefficient of 0.86-0.90) and low floor and ceiling effects were demonstrated. The NFI-MS-G was found easily readable and invariant across groups of gender, age, disease duration, timepoint and centre. CONCLUSION: The German version of the NFI-MS comprehensively represents the construct of fatigue and has adequate psychometric properties. The German version differs from the English original version with respect to a lack of unidimensionality of the summary scale and minor local dependencies of the physical subscale that could be canceled out using a testlet analysis.

Measuring disability in amyotrophic lateral sclerosis/motor neuron disease: the WHODAS 2.0-36, WHODAS 2.0-32, and WHODAS 2.0-12.

Aim: To investigate whether the World Health Organization Disability Assessment Schedule 2.0 (WHODAS) can provide interval level measurement of disability in Amyotrophic Lateral Sclerosis (ALS), allowing parametric analyses. Methods: Data on the WHODAS 12, 32, and 36-item versions, from 1120 patients studied at one or more time points, were fit to the Rasch model and comparisons made against ALSFRS-R, King's staging, and mortality. Trajectory modeling was undertaken for a newly diagnosed (≤6 months) cohort of 454 individuals. Results: Total scores for WHODAS 32 and 36-item versions can be converted to interval level measurement suitable for individual clinical use, and the 12-item WHODAS total for group use. The 36-item version is shown to be equivalent to the 32-item version. Expected correlations were seen with King's staging, ALSFRS-R, and EQ-5D-5L. Trajectory analysis of disability (WHODAS 2.0) showed three clearly demarcated groups with differences in King's staging, depressive symptomatology and mortality, but not age. Conclusions: The WHODAS 2.0 is a brief patient reported outcome measure which can be used to measure disability in ALS. Provided the patient answers all 36 (32 if not working) items, the conversion table produces an interval level estimate for parametric analyses. The different trajectories demonstrated from diagnosis support the concept of a prodromal period, and suggest the WHODAS 2.0 could be used for surveillance of at risk populations, such as those with genetic predisposition.

Measuring coping in multiple sclerosis: The Coping Index-MS.

BACKGROUND: Coping in multiple sclerosis (MS) refers to cognitive and behavioural efforts to manage stresses imposed by the illness. Existing generic and disease-specific coping scales do not meet modern guidelines for scale development and cannot produce interval-level metrics to allow for change scores. OBJECTIVE: The main aim of this study was to develop a brief patient-reported outcome measure for coping in MS, capable of interval-level measurement. METHODS: Qualitative work in 43 people with MS leads to a draft scale which was administered to 5747 participants, with longitudinal collection in 2290. A calibration sample of 1000 subjects split into development and validation sets was used to generate three scales consistent with Rasch model expectations. RESULTS: The total Coping Index-MS (CI-MS-T), CI-MS-Internal (CI-MS-I) and CI-MS-External (CI-MS-E) cover total, internal and externally focused coping. All three scales are capable of interval-level measurement. Trajectory analysis of 9000 questionnaires showed two trajectories in CI-MS-T: Group 1 showed a low level of coping with slight decline over 40 months, while Group 2 had a better and stable level of coping due to improving CI-MS-I which compensated for the deteriorating CI-MS-E over time. CI-MS-T < 30 identified group membership at baseline. CONCLUSION: The CI-MS-T, CI-MS-I and CI-MS-E, comprising 20 items, provide interval-level measurement and are free-for-use in not-for-profit settings.

The four self-efficacy trajectories among people with multiple sclerosis: Clinical associations and implications.

BACKGROUND: Longitudinal studies among people with Multiple Sclerosis (pwMS) have shown that self-efficacy is linked to physical, cognitive and psychological functioning. OBJECTIVES: To determine the distribution of self-efficacy in a large sample of pwMS, examining whether there are distinct groups which show different self-efficacy trajectories over time, and the health status characteristics of any groups identified. METHODS: Participants completed serial questionnaire packs, including Unidimensional Self-efficacy-MS (USE-MS) scale, for the Trajectories of Outcome in Neurological Conditions-MS (TONiC-MS) study over an average 46-month period. The resulting longitudinal data were analysed by a group-based trajectory model. RESULTS: 5887 pwMS were studied: mean age 50.2 years (SD 12.0); 73.6% female; Relapsing Remitting MS (61.8%), Secondary Progressive (22.9%), Primary Progressive (11.1%), Rapidly Evolving Relapsing Remitting MS (4.2%). Four distinct self-efficacy trajectories emerged, with declining, slightly declining, stable or improving self-efficacy, each showing different patterns of health status indicators such as EQ-5D-5L, disability and depression. USE-MS ≤ 18 at baseline detected all participants in the two declining groups. CONCLUSION: Future trials on interventions for self-efficacy should assume a priori that those with low levels of self-efficacy (USE-MS ≤ 18 at baseline) are likely to be on a declining trajectory and may need different interventions from those with stable self-efficacy.

Fatigue and anxiety mediate the effect of dyspnea on quality of life in amyotrophic lateral sclerosis.

Introduction: Dyspnea (or breathlessness) due to progressive neuromuscular respiratory failure is common in amyotrophic lateral sclerosis (ALS). It is associated with anxiety, depression and reduced quality of life (QoL). For effective treatment, it is essential to understand the relationships between dyspnea, anxiety, depression and QoL.Methods: The UK Trajectories of Outcomes in Neurological Conditions-ALS study (TONiC-ALS) collected self-report measures from patients with ALS. Ordinal scales were transformed to interval-scaled estimates by the Rasch Measurement model. They were subsequently included in a series of path models where the focal relationships were dyspnea to QoL and dyspnea to depression.Results: Path analyses using 1022 participants showed that 60.5% of the variance of QoL was explained by fatigue, anxiety, dyspnea and disability. For depression, 54.1% of the variance was explained by a model of these factors. Dyspnea played an important but mostly indirect role in influencing QoL and depressive symptoms. Disability was dominated by all other factors in the model.Discussion: Dyspnea in ALS influences quality of life and depression largely through indirect effects, principally acting via anxiety and fatigue. Recognition of this is essential for clinicians to understand where to intervene for greatest benefit. Researchers must be aware that studies of the effect of dyspnea on QoL and depression require path models, measuring both direct and indirect effects, as the impact of dyspnea is likely to be significantly miscalculated if only direct effects are assessed.

Quality of life in multiple sclerosis is dominated by fatigue, disability and self-efficacy.

BACKGROUND AND OBJECTIVE: Quality of life in multiple sclerosis (MS) reflects complex relationships between symptoms (fatigue, spasticity pain, and bladder or vision dysfunction), disability, health perceptions, and self-efficacy. METHODS: In this cross-sectional study, a self-report questionnaire pack of patient reported outcome measures was collected from 5695 people with MS (pwMS) alongside clinical data from their neurologists. Each patient reported outcome measure was converted to interval-scaled estimates following fit to the Rasch model. The patient reported outcome measures, as well as perceived health, age, disease subtype and gender, were then subject to path analysis to analyse their relationships with quality of life (QoL), guided by the Wilson and Clearly conceptual framework. RESULTS: The final model explains 81.2% of the variance of QoL. Fatigue is clearly dominant, suggesting a means to intervene and improve QoL. The next most influential factors were disability and self-efficacy, which have similar effect levels. The model can be replicated for pwMS on disease modifying therapy and is largely invariant for gender and disease subtype. Age had an insignificant effect. CONCLUSIONS: In order to promote better QoL, MS care should include management of fatigue, interventions to ameliorate disability, and support to enhance self-efficacy. The range of skills needed for these treatments will require input from medical, nursing, therapy and psychology staff, so these findings provide evidence substantiating the need for pwMS to be provided with care by comprehensive multidisciplinary teams.

German translation, cultural adaptation and validation of the unidimensional self-efficacy scale for multiple sclerosis.

BACKGROUND: Self-efficacy concerns individuals' beliefs in their capability to exercise control in specific situations and complete tasks successfully. In people with multiple sclerosis (PwMS), self-efficacy has been associated with physical activity levels and quality of life. As a validated German language self-efficacy scale for PwMS is missing the aims of this study were to translate the Unidimensional Self-Efficacy Scale for Multiple Sclerosis (USE-MS) into German, establish face and content validity and cultural adaptation of the German version for PwMS in Austria. A further aim was to validate the German USE-MS (USE-MS-G) in PwMS. METHODS: Permission to translate and validate the USE-MS was received from the scale developers. Following guidelines for translation and validation of questionnaires and applying Bandura's concept of self-efficacy, the USE-MS was forward-backward translated with content and face validity established. Cultural adaptation for Austria was performed using cognitive patient interviews. Reliability was assessed using Cronbach's alpha, Person separation index and Lin's concordance correlation coefficient. Rasch analysis was employed to assess construct validity. Comparison was made to scales for resilience, general self-efficacy, anxiety and depression, multiple sclerosis fatigue and health-related quality of life. Data were also pooled with an historic English dataset to compare the English and German language versions. RESULTS: The translation and cultural adaptation were successfully performed in the adaptation process of the USE-MS-G. Pretesting was conducted in 30 PwMS, the validation of the final USE-MS-G involved 309 PwMS with minimal to severe disability. The USE-MS-G was found to be valid against the Rasch model when fitting scale data using a bifactor solution of two super-items. It was shown to be unidimensional, free from differential item functioning and well targeted to the study population. Excellent convergent and known-groups validity, internal consistency, person separation reliability and test-retest reliability were shown for the USE-MS-G. Pooling of the English and German datasets confirmed invariance of item difficulties between languages. CONCLUSION: The USE-MS-G is a robust, valid and reliable scale to assess self-efficacy in PwMS and can generate interval level data on an equivalent metric to the UK version. TRIAL REGISTRATION: ISRCTN Registry; ISRCTN14843579 ; prospectively registered on 02. 01. 2019.

Psychosis in Alzheimer's Disease.

PURPOSE OF REVIEW: To review the incidence, treatment and genetics of psychosis in people with mild cognitive impairment (MCI) and Alzheimer's disease (AD). RECENT FINDINGS: Psychosis in Alzheimer's disease (AD) has an incidence of ~ 10% per year. There is limited evidence regarding psychological interventions. Pharmacological management has focused on atypical antipsychotics, balancing modest benefits with evidence of long-term harms. The 5HT2A inverse agonist pimavanserin appears to confer benefit in PD psychosis with initial evidence of benefit in AD. Cholinesterase inhibitors give modest benefits in DLB psychosis. The utility of muscarinic agonists, lithium, glutamatergic and noradrenergic modulators needs further study. Recent work has confirmed the importance of psychosis in MCI as well as AD. The lack of evidence regarding psychological therapies is an urgent knowledge gap, but there is encouraging evidence for emerging pharmacological treatments. Genetics will provide an opportunity for precision medicine and new treatment targets.

Drug repositioning and repurposing for Alzheimer disease.

Drug repositioning and repurposing can enhance traditional drug development efforts and could accelerate the identification of new treatments for individuals with Alzheimer disease (AD) dementia and mild cognitive impairment. Transcriptional profiling offers a new and highly efficient approach to the identification of novel candidates for repositioning and repurposing. In the future, novel AD transcriptional signatures from cells isolated at early stages of disease, or from human neurons or microglia that carry mutations that increase the risk of AD, might be used as probes to identify additional candidate drugs. Phase II trials assessing repurposed agents must consider the best target population for a specific candidate therapy as well as the mechanism of action of the treatment. In this Review, we highlight promising compounds to prioritize for clinical trials in individuals with AD, and discuss the value of Delphi consensus methodology and evidence-based reviews to inform this prioritization process. We also describe emerging work, focusing on the potential value of transcript signatures as a cost-effective approach to the identification of novel candidates for repositioning.