Assessment of perinatal anxiety: diagnostic accuracy of five measures.

BACKGROUND: Anxiety in pregnancy and after giving birth (the perinatal period) is highly prevalent but under-recognised. Robust methods of assessing perinatal anxiety are essential for services to identify and treat women appropriately. AIMS: To determine which assessment measures are most psychometrically robust and effective at identifying women with perinatal anxiety (primary objective) and depression (secondary objective). METHOD: We conducted a prospective longitudinal cohort study of 2243 women who completed five measures of anxiety and depression (Generalized Anxiety Disorder scale (GAD) two- and seven-item versions; Whooley questions; Clinical Outcomes in Routine Evaluation (CORE-10); and Stirling Antenatal Anxiety Scale (SAAS)) during pregnancy (15 weeks, 22 weeks and 31 weeks) and after birth (6 weeks). To assess diagnostic accuracy a sample of 403 participants completed modules of the Mini-International Neuropsychiatric Interview (MINI). RESULTS: The best diagnostic accuracy for anxiety was shown by the CORE-10 and SAAS. The best diagnostic accuracy for depression was shown by the CORE-10, SAAS and Whooley questions, although the SAAS had lower specificity. The same cut-off scores for each measure were optimal for identifying anxiety or depression (SAAS ≥9; CORE-10 ≥9; Whooley ≥1). All measures were psychometrically robust, with good internal consistency, convergent validity and unidimensional factor structure. CONCLUSIONS: This study identified robust and effective methods of assessing perinatal anxiety and depression. We recommend using the CORE-10 or SAAS to assess perinatal anxiety and the CORE-10 or Whooley questions to assess depression. The GAD-2 and GAD-7 did not perform as well as other measures and optimal cut-offs were lower than currently recommended.

The usability and reliability of a smartphone application for monitoring future dementia risk in ageing UK adults.

BACKGROUND: The rising number of dementia diagnoses and imminent adoption of disease-modifying treatments necessitate innovative approaches to identify individuals at risk, monitor disease course and intervene non-pharmacologically earlier in the disease course. Digital assessments of dementia risk and cognitive function have the potential to outperform traditional in-person assessments in terms of their affordability, accuracy and longitudinal tracking abilities. However, their accessibility and reliability in older adults is unclear. AIMS: To evaluate the usability and reliability of a smartphone assessment of lifestyle and cognitive factors relevant to dementia risk in a group of UK-based older adults. METHOD: Cognitively healthy adults (n = 756) recruited through the Dementias Platform UK Great Minds volunteer register completed three assessments of cognitive function and dementia risk over a 3-month period and provided usability feedback on the Five Lives smartphone application (app). We evaluated cognitive test scores for age, gender and higher education effects, normality distributions, test-retest reliability and their relationship with participants' lifestyle dementia risk factors. RESULTS: Participants found the app 'easy to use', 'quick to complete' and 'enjoyable'. The cognitive tests showed normal or near-to-normal distributions, variable test-retest reliabilities and age-related effects. Only tests of verbal ability showed gender and education effects. The cognitive tests did not correlate with lifestyle dementia risk scores. CONCLUSIONS: The Five Lives assessment demonstrates high usability and reliability among older adults. These findings highlight the potential of digital assessments in dementia research and clinical practice, enabling improved accessibility and better monitoring of cognitive health on a larger scale than traditional in-person assessments.

Diurnal cortisol, neuroinflammation, and neuroimaging visual rating scales in memory clinic patients.

BACKGROUND: Neuroinflammation is a hallmark of the Alzheimer's disease (AD) pathogenic process. Cortisol dysregulation may increase AD risk and is related to brain atrophy. This cross-sectional study aims to examine interactions of cortisol patterns and neuroinflammation markers in their association with neuroimaging correlates. METHOD: 134 participants were recruited from the Karolinska University Hospital memory clinic (Stockholm, Sweden). Four visual rating scales were applied to magnetic resonance imaging or computed tomography scans: medial temporal lobe atrophy (MTA), global cortical atrophy (GCA), white matter lesions (WML), and posterior atrophy. Participants provided saliva samples for assessment of diurnal cortisol patterns, and underwent lumbar punctures for cerebrospinal fluid (CSF) sampling. Three cortisol measures were used: the cortisol awakening response, total daily output, and the ratio of awakening to bedtime levels. Nineteen CSF neuroinflammation markers were categorized into five composite scores: proinflammatory cytokines, other cytokines, angiogenesis markers, vascular injury markers, and glial activation markers. Ordinal logistic regressions were conducted to assess associations between cortisol patterns, neuroinflammation scores, and visual rating scales, and interactions between cortisol patterns and neuroinflammation scores in relation to visual rating scales. RESULT: Higher levels of angiogenesis markers were associated with more severe WML. Some evidence was found for interactions between dysregulated diurnal cortisol patterns and greater neuroinflammation-related biomarkers in relation to more severe GCA and WML. No associations were found between cortisol patterns and visual rating scales. CONCLUSION: This study suggests an interplay between diurnal cortisol patterns and neuroinflammation in relation to brain structure. While this cross-sectional study does not provide information on causality or temporality, these findings suggest that neuroinflammation may be involved in the relationship between HPA-axis functioning and AD.

The effect of older age on outcomes of rTMS treatment for treatment-resistant depression.

Clinical outcomes of repetitive transcranial magnetic stimulation (rTMS) for treatment of treatment-resistant depression (TRD) vary widely and there is no mood rating scale that is standard for assessing rTMS outcome. It remains unclear whether TMS is as efficacious in older adults with late-life depression (LLD) compared to younger adults with major depressive disorder (MDD). This study examined the effect of age on outcomes of rTMS treatment of adults with TRD. Self-report and observer mood ratings were measured weekly in 687 subjects ages 16-100 years undergoing rTMS treatment using the Inventory of Depressive Symptomatology 30-item Self-Report (IDS-SR), Patient Health Questionnaire 9-item (PHQ), Profile of Mood States 30-item, and Hamilton Depression Rating Scale 17-item (HDRS). All rating scales detected significant improvement with treatment; response and remission rates varied by scale but not by age (response/remission ≥ 60: 38%-57%/25%-33%; <60: 32%-49%/18%-25%). Proportional hazards models showed early improvement predicted later improvement across ages, though early improvements in PHQ and HDRS were more predictive of remission in those < 60 years (relative to those ≥ 60) and greater baseline IDS burden was more predictive of non-remission in those ≥ 60 years (relative to those < 60). These results indicate there is no significant effect of age on treatment outcomes in rTMS for TRD, though rating instruments may differ in assessment of symptom burden between younger and older adults during treatment.

Perinatal mental health screening for women of refugee background: Addressing a major gap in pregnancy care.

BACKGROUND: Perinatal mental health disorders affect up to 20% of all women. Women of refugee background are likely to be at increased risk, yet little research has explored this. This study aimed to assess if women of refugee background are more likely to screen risk positive for depression and anxiety than non-refugee women, using the Edinburgh Postnatal Depression Scale (EPDS); and if screening in pregnancy using the EPDS enables better detection of depression and anxiety symptoms in women of refugee background than routine care. METHODS: This implementation study was conducted at an antenatal clinic in Melbourne, Australia. Women of refugee and non-refugee backgrounds were screened for depression using English or translated versions of the EPDS and a psychosocial assessment on a digital platform. The psychosocial assessment records of 34 women of refugee background receiving routine care (no screening) were audited. RESULTS: Overall, 274 women completed the EPDS; 43% of refugee background. A similar proportion of women of refugee and non-refugee backgrounds had EPDS scores of ≥9 (39% vs. 40% p = 0.93). Women receiving the combined EPDS and psychosocial screening were more likely to receive a referral for further support than women receiving routine care (41% vs. 18%, p = 0.012). CONCLUSION: Similarly, high proportions of women of refugee and non-refugee backgrounds were at increased risk of experiencing a current depressive disorder in early pregnancy, suggesting pregnancy care systems should acknowledge and respond to the mental health needs of these women. Screening appeared to facilitate the identification and referral of women compared to routine care.

Validity and test-retest reliability of the Swedish version of the Geriatric Depression Scale among very old adults.

BACKGROUND: The Geriatric Depression Scale (GDS) has shown good validity and reliability, but few studies have examined the GDS among very old adults or the Swedish translation. OBJECTIVES: Evaluate the validity and reliability of the Swedish version of GDS-15 among very old adults. METHODS: In the Umeå85 + /GErontological Regional DAtabase (GERDA) study, 387 participants were assessed with both the GDS-15 and the Montgomery-Åsberg Depression Rating Scale (MADRS). The mean age was 91 years. Concurrent validity between the scales was calculated using Spearman's correlation. We used the Diagnostic and Statistical Manual of Mental Disorders (DSM) V symptom criteria for depression based on MADRS item scores to define depression. We calculated the Area Under the Curve (AUC) and found an optimal cut-off. A convenience sample with 60 individuals was used to calculate test-retest reliability with Cohen's kappa and Intraclass Correlation Coefficient (ICC). RESULTS: Spearman's correlation coefficients between total scores for GDS-15 and MADRS were 0.60. Cronbach's alpha for the whole scale was 0.73. The AUC was 0.90 for distinguishing major depression, and the recommended cut-off of ≥ 5 showed a sensitivity of 95.2% and specificity of 65.8%. The test-retest showed that Cohen's kappa was substantial (0.71) and the ICC was excellent (0.95). CONCLUSIONS: The Swedish version of the GDS-15 showed good validity and reliability among very old adults. The generally recommended cut-off of ≥ 5 seems reasonable to use with the Swedish version and among very old adults.

Association of the Verbal Rating Scale-Measured Dysmenorrhea with Nausea and Vomiting in Pregnancy: A Retrospective Cohort Study.

OBJECTIVES: Nausea and vomiting in pregnancy (NVP) is a common condition that reduces the quality of life by negatively affecting work and family life, physical and mental health, and economic well-being. However, its risk factors remain unclear. This study aimed to explore the association between NVP and verbal rating scale (VRS)-measured dysmenorrhea and to explore potential protective factors. METHODS: This retrospective cohort study was conducted from June 2018 to December 2020 at Tongji Hospital in Wuhan. Information on baseline characteristics, pregnancy-related history, periconceptional micronutrient supplementation, and obstetric outcomes were collected. The severity of dysmenorrhea was assessed using VRS. RESULTS: A total of 443 pregnant women were recruited and divided into the NVP group (n = 76) and the control group (n = 367). A significant association was observed between NVP and VRS-measured dysmenorrhea (c2=10.038, P = 0.007). After adjusting for covariates, the association between moderate/severe dysmenorrhea and NVP remained significant (OR 2.384; 95% CI 1.104-5.148, P = 0.004). First-trimester docosahexaenoic acid supplement (OR 0.443; 95% CI 0.205-0.960, P = 0.039) may be beneficial in reducing the risk of NVP. CONCLUSIONS: Women with moderate to severe dysmenorrhea have a higher risk of experiencing NVP during the first trimester. Periconceptional docosahexaenoic acid supplementation may play a protective role.

Validation of the Persian Version of the Palin Parent Rating Scales.

INTRODUCTION: The Palin Parent Rating Scale (Palin PRS) is a structured questionnaire filled out by parents of children who stutter. It is designed to assess the effects of stuttering on both the children and their parents. The goal of this study was to translate the Palin PRS into Persian and to evaluate its validity and reliability for application in preschool children who stutter. METHODS: This research was conducted from August 2021 to December 2022, involving 139 parents of children who stutter. The parents completed the Palin PRS and provided their demographic data. Descriptive statistics were used to examine the floor and ceiling effects on all subscales of the Palin PRS. The internal consistency of the scale was assessed using Cronbach's alpha method, while the intraclass correlation coefficient (ICC) was calculated to determine its test-retest reliability. An exploratory factor analysis was also performed to clarify the factor structure of the scale. RESULTS: The exploratory factor analysis results were highly consistent with the factor structure found in the original version. No floor or ceiling effects were observed for the factors of the Palin PRS. The three factors of the Persian version of the Palin PRS (P-Palin PRS) showed good internal consistency (Cronbach's alpha >0.8) and excellent test-retest reliability (ICC >0.9). Additionally, normative scores were derived by converting raw scores into Stanine scores. CONCLUSION: The P-Palin PRS showed strong reliability, thereby establishing it as a suitable instrument for evaluating how parents perceive the effects of stuttering on their children and themselves. Further research may explore its application in diverse clinical settings and populations.

Measuring vection: a review and critical evaluation of different methods for quantifying illusory self-motion.

The sensation of self-motion in the absence of physical motion, known as vection, has been scientifically investigated for over a century. As objective measures of, or physiological correlates to, vection have yet to emerge, researchers have typically employed a variety of subjective methods to quantify the phenomenon of vection. These measures can be broadly categorized into the occurrence of vection (e.g., binary choice yes/no), temporal characteristics of vection (e.g., onset time/latency, duration), the quality of the vection experience (e.g., intensity rating scales, magnitude estimation), or indirect (e.g., distance travelled) measures. The present review provides an overview and critical evaluation of the most utilized vection measures to date and assesses their respective merit. Furthermore, recommendations for the selection of the most appropriate vection measures will be provided to assist with the process of vection research and to help improve the comparability of research findings across different vection studies.

Exploring the effect of lexicality and listener experience on gradient ratings of Swedish sibilant fricatives.

This study explores the influence of lexicality on gradient judgments of Swedish sibilant fricatives by contrasting ratings of initial fricatives in words and word fragments (initial CV-syllables). Visual-Analogue Scale (VAS) judgments were elicited from experienced listeners (speech-language pathologists; SLPs) and inexperienced listeners, and compared with respect to the effects of lexicality using Bayesian mixed-effects beta regression. Overall, SLPs had higher intra- and interrater reliability than inexperienced listeners. SLPs as a group also rated fricatives as more target-like, with higher precision, than did inexperienced listeners. An effect of lexicality was observed for all individual listeners, though the magnitude of the effect varied. Although SLP's ratings of Swedish children's initial voiceless fricatives were less influenced by lexicality, our results indicate that previous findings concerning VAS ratings of non-lexical CV-syllables cannot be directly transferred to the clinical context, without consideration of possible lexical bias.

Validation and refinement of the "Airman Comprehensive Assessment": Evaluating competency proficiencies of enlisted members.

Beyond proficiency on occupationally specific tasks, the U.S. Air Force expects members to develop proficiency on institutionally valued "soft skill" competencies (e.g., Teamwork, Communication, and Initiative) throughout their careers. As such, all E1-E6 members are annually evaluated using Behaviorally Anchored Rating Scales (BARS) designed to measure such competencies. Despite mandated use, these Airman Comprehensive Assessment (ACA) scales previously have not been empirically evaluated. To address this gap, we surveyed Air Force supervisors, using a criterion-related sampling methodology to validate the behavioral anchors for each scale. Supervisors identified two subordinates of the same rank/career field who they viewed as having (a) high potential for future success in an Air Force career or, alternately, (b) lower potential for future career success and rated each subordinate on the individual behaviors that comprise the 12 scales. ACA items were intermixed with scale items previously identified as distinguishing top performers in civilian organizations. Results demonstrate scale reliability and generally validate the ACA competency scales as stronger differentiators of supervisor-rated career potential than competency scales developed for civilian organizations. We provide recommendations for re-calibration of scale anchors based on the relative percentage of high vs. low potential members that demonstrate each behavior, and suggest changes to improve correspondence between measured competency proficiency and supervisor-rated career potential.

Scales for Antipsychotic-Associated Movement Disorders: Systematic Review, Critique, and Recommendations.

BACKGROUND: Antipsychotic-associated movement disorders remain common and disabling. Their screening and assessment are challenging due to clinical heterogeneity and different use of nomenclature between psychiatrists and neurologists. OBJECTIVE: An International Parkinson and Movement Disorder Society subcommittee aimed to rate psychometric quality of severity and screening instruments for antipsychotic-associated movement disorders. METHODS: Following the methodology adopted by previous International Parkinson and Movement Disorders Society subcommittee papers, instruments for antipsychotic-associated movement disorders were reviewed, applying a classification as "recommended," "recommended with caveats," "suggested," or "listed." RESULTS: Our review identified 23 instruments. The highest grade of recommendation reached is "recommended with caveats," assigned to seven severity rating instruments (Extrapyramidal Symptoms Rating Scale, Barnes Akathisia Rating Scale, Abnormal Involuntary Movements Scale, Drug-Induced Extra-Pyramidal Symptoms Scale, Maryland Psychiatric Research Centre involuntary movements scale, Simpson Angus Scale, and Matson Evaluation of Drug Side effects). Only three of these seven (Drug-Induced Extra-Pyramidal Symptoms Scale, Maryland Psychiatric Research Centre, Matson Evaluation of Drug Side effects) were also screening instruments. Their main caveats are insufficient demonstration of psychometric properties (internal consistency, skewing, responsiveness to change) and long duration of administration. Eight "suggested" instruments did not meet requirements for the "recommended" grade also because of insufficient psychometric validation. Other limitations shared by several instruments are lack of comprehensiveness in assessing the spectrum of antipsychotic-associated movement disorders and ambiguous nomenclature. CONCLUSIONS: The high number of instruments "recommended with caveats" does not support the need for developing new instruments for antipsychotic-associated movement disorders. However, addressing the caveats with new psychometric studies and revising existing instruments to improve the clarity of their nomenclature are recommended next steps. © 2023 International Parkinson and Movement Disorder Society.

Ataxia Rating Scales Reveal Increased Scores in Very Preterm Born 5-6-Year-Old Preschool Children and Young Adults.

The aim of this study is to investigate whether scores in ataxia rating scales (ARS) are different in very preterm (VP) preschool and adult participants compared to term controls. This is a case-control study. Sixty VP children (years: 5.5-6.5; gestational age: 23.9-31.7 weeks) and 56 VP adults (years: 17.8-27.9; gestational age: 23.3-32.0 weeks) without major cerebral lesions participated in the study; 60-age and sex-matched term children and 64 term adults for comparison were used in the study intervened with the assessment with International Cooperative Ataxia Rating Scale (ICARS) and Scale for Assessment and Rating of Ataxia (SARA). Main outcome measures are primary outcome: total icars and sara scores in preterm (vp) participants versus controls. Results showed that VP children showed significantly higher total ICARS (M 15.98, SD 6.29, range 4.0-32.0; p < .001) and SARA scores (M 6.5, SD 2.53, range 1.0-15.0; p < .001) than controls (ICARS: M 9.17, SD 3.88, range 2.0-20.0; SARA: M 3.51, SD 1.54, range 1.0-8.0). VP adults also showed significantly higher total ICARS (M 1.0, SD 1.99, range 0.0-11.0; p < .001) and SARA scores (M 0.54, SD 1.08, range 0.0-6.0; p < .001) than controls (ICARS: M 0.11, SD 0.44, range 0.0-2.0; SARA: M 0.04, SD 0.18, range 0.0-1.0). In conclusion, VP children showed significantly higher scores in ARS than controls. These differences were also present in VP adults, suggesting that deficits likely prevail until adulthood. ARS are a time and cost-effective method to screen for difficulties in coordination and balance in a patient group at risk.

Ataxia Rating Scales Reflect Patient Experience: an Examination of the Relationship Between Clinician Assessments of Cerebellar Ataxia and Patient-Reported Outcomes.

Ataxia rating scales are observer administered clinical outcome assessments (COAs) of the cerebellar motor syndrome. It is not known whether these COAs mirror patient experience of their disease. Here we test the hypothesis that ataxia COAs are related to and reflect patient reported symptoms and impact of illness. A concept library of symptoms and activities impacted by ataxia was created by reviewing (a) concept elicitation data from surveys completed by 147 ataxia patients and 80 family members and (b) cognitive debrief data from focus groups of 17 ataxia patients used to develop the Patient Reported Outcome Measure of Ataxia. These findings were mapped across the items on 4 clinical measures of ataxia (SARA, BARS, ICARS and FARS). Symptoms reported most commonly related to balance, gait or walking, speech, tremor and involuntary movements, and vision impairment. Symptoms reported less frequently related to hand coordination, loss of muscle control, dizziness and vertigo, muscle discomfort or pain, swallowing, and incontinence. There was a mosaic mapping of items in the observer-derived ataxia COAs with the subjective reports by ataxia patients/families of the relevance of these items to their daily lives. Most COA item mapped onto multiple real-life manifestations; and most of the real-life impact of disease mapped onto multiple COA items. The 4 common ataxia COAs reflect patient reported symptoms and impact of illness. These results validate the relevance of the COAs to patients' lives and underscore the inadvisability of singling out any one COA item to represent the totality of the patient experience.

Dynamic change in genome-wide methylation in response to increased suicidal ideation in schizophrenia spectrum disorders.

Suicide is a significant public health crisis, with 800,000 people dying annually. Most people completing suicide have previous psychiatric conditions, and those with psychotic and mood disorders are particularly vulnerable. Unfortunately, there are currently no biomarkers available for accurately detecting suicidal ideation. Given the genetic and environmental factors that play a role in suicidal ideation, we attempted to determine epigenetic modifications, specifically DNA methylation, in response to changes in suicidal ideation. Using a longitudinal study design, 31 participants with schizophrenia spectrum disorders were interviewed at a baseline visit and again at a follow-up visit 3-12 months later. Current suicidal ideation was recorded at both visits with the Columbia Suicide Severity Rating Scale and the Beck Scale for Suicide Ideation, and whole blood was collected for methylation analysis. Our analysis shows a significant negative correlation between cg26910920 methylation and increasing Columbia Suicide Severity Rating Scale scores and a positive correlation between cg13673029 methylation and increasing Beck Scale for Suicide Ideation scores. This pilot study indicates that there is  the possibility  that DNA methylation can respond to changes in suicidal ideation over time and potentially be used as a biomarker of suicidal ideation in the future.

Measuring Antisocial Behaviors in Behavioral Variant Frontotemporal Dementia With a Novel Informant-Based Questionnaire.

OBJECTIVE: Antisocial behaviors are common and problematic among patients with behavioral variant frontotemporal dementia (bvFTD). In the present study, the investigators aimed to validate an informant-based questionnaire developed to measure the extent and severity of antisocial behaviors among patients with dementia. METHODS: The Social Behavior Questionnaire (SBQ) was developed to measure 26 antisocial behaviors on a scale from absent (0) to very severe (5). It was administered to 23 patients with bvFTD, 19 patients with Alzheimer's disease, and 14 patients with other frontotemporal lobar degeneration syndromes. Group-level differences in the presence and severity of antisocial behaviors were measured. Psychometric properties of the SBQ were assessed by using Cronbach's alpha, exploratory factor analysis, and comparisons with a psychopathy questionnaire. Cluster analysis was used to determine whether the SBQ identifies different subgroups of patients. RESULTS: Antisocial behaviors identified by using the SBQ were common and severe among patients with bvFTD, with at least one such behavior endorsed for 21 of 23 (91%) patients. Antisocial behaviors were more severe among patients with bvFTD, including the subsets of patients with milder cognitive impairment and milder disease severity, than among patients in the other groups. The SBQ was internally consistent (Cronbach's α=0.81). Exploratory factor analysis supported separate factors for aggressive and nonaggressive behaviors. Among the patients with bvFTD, the factor scores for aggressive behavior on the SBQ were correlated with those for antisocial behavior measured on the psychopathy scale, but the nonaggressive scores were not correlated with psychopathy scale measures. The k-means clustering analysis identified a subset of patients with severe antisocial behaviors. CONCLUSIONS: The SBQ is a useful tool to identify, characterize, and measure the severity of antisocial behaviors among patients with dementia.

Cognitive profile of people with mild behavioral impairment in Brain Health Registry participants.

OBJECTIVES: Dementia assessment includes cognitive and behavioral testing with informant verification. Conventional testing is resource-intensive, with uneven access. Online unsupervised assessments could reduce barriers to risk assessment. The aim of this study was to assess the relationship between informant-rated behavioral changes and participant-completed neuropsychological test performance in older adults, both measured remotely via an online unsupervised platform, the Brain Health Registry (BHR). DESIGN: Observational cohort study. SETTING: Community-dwelling older adults participating in the online BHR. Informant reports were obtained using the BHR Study Partner Portal. PARTICIPANTS: The final sample included 499 participant-informant dyads. MEASUREMENTS: Participants completed online unsupervised neuropsychological assessment including Forward Memory Span, Reverse Memory Span, Trail Making B, and Go/No-Go tests. Informants completed the Mild Behavioral Impairment Checklist (MBI-C) via the BHR Study Partner portal. Cognitive performance was evaluated in MBI+/- individuals, as was the association between cognitive scores and MBI symptom severity. RESULTS: Mean age of the 499 participants was 67, of which 308/499 were females (61%). MBI + status was associated with significantly lower memory and executive function test scores, measured using Forward and Reverse Memory Span, Trail Making Errors and Trail Making Speed. Further, significant associations were found between poorer objectively measured cognitive performance, in the domains of memory and executive function, and MBI symptom severity. CONCLUSION: These findings support the feasibility of remote, informant-reported behavioral assessment utilizing the MBI-C, supporting its validity by demonstrating a relationship to online unsupervised neuropsychological test performance, using a previously validated platform capable of assessing early dementia risk markers.

Longitudinal Monitoring of Progressive Supranuclear Palsy using Body-Worn Movement Sensors.

BACKGROUND: We have previously shown that wearable technology and machine learning techniques can accurately discriminate between progressive supranuclear palsy (PSP), Parkinson's disease, and healthy controls. To date these techniques have not been applied in longitudinal studies of disease progression in PSP. OBJECTIVES: We aimed to establish whether data collected by a body-worn inertial measurement unit (IMU) network could predict clinical rating scale scores in PSP and whether it could be used to track disease progression. METHODS: We studied gait and postural stability in 17 participants with PSP over five visits at 3-month intervals. Participants performed a 2-minute walk and an assessment of postural stability by standing for 30 seconds with their eyes closed, while wearing an array of six IMUs. RESULTS: Thirty-two gait and posture features were identified, which progressed significantly with time. A simple linear regression model incorporating the three features with the clearest progression pattern was able to detect statistically significant progression 3 months in advance of the clinical scores. A more complex linear regression and a random forest approach did not improve on this. CONCLUSIONS: The reduced variability of the models, in comparison to clinical rating scales, allows a significant change in disease status from baseline to be observed at an earlier stage. The current study sheds light on the individual features that are important in tracking disease progression. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Clinical applicability of quantitative atrophy measures on MRI in patients suspected of Alzheimer's disease.

OBJECTIVES: Neurodegeneration in suspected Alzheimer's disease can be determined using visual rating or quantitative volumetric assessments. We examined the feasibility of volumetric measurements of gray matter (GMV) and hippocampal volume (HCV) and compared their diagnostic performance with visual rating scales in academic and non-academic memory clinics. MATERIALS AND METHODS: We included 231 patients attending local memory clinics (LMC) in the Netherlands and 501 of the academic Amsterdam Dementia Cohort (ADC). MRI scans were acquired using local protocols, including a T1-weighted sequence. Quantification of GMV and HCV was performed using FSL and FreeSurfer. Medial temporal atrophy and global atrophy were assessed with visual rating scales. ROC curves were derived to determine which measure discriminated best between cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer's dementia (AD). RESULTS: Patients attending LMC (age 70.9 ± 8.9 years; 47% females; 19% CN; 34% MCI; 47% AD) were older, had more cerebrovascular pathology, and had lower GMV and HCV compared to those of the ADC (age 64.9 ± 8.2 years; 42% females; 35% CN, 43% MCI, 22% AD). While visual ratings were feasible in > 95% of scans in both cohorts, quantification was achieved in 94-98% of ADC, but only 68-85% of LMC scans, depending on the software. Visual ratings and volumetric outcomes performed similarly in discriminating CN vs AD in both cohorts. CONCLUSION: In clinical settings, quantification of GM and hippocampal atrophy currently fails in up to one-third of scans, probably due to lack of standardized acquisition protocols. Diagnostic accuracy is similar for volumetric measures and visual rating scales, making the latter suited for clinical practice. In a real-life clinical setting, volumetric assessment of MRI scans in dementia patients may require acquisition protocol optimization and does not outperform visual rating scales. KEY POINTS: • In a real-life clinical setting, the diagnostic performance of visual rating scales is similar to that of automatic volumetric quantification and may be sufficient to distinguish Alzheimer's disease groups. • Volumetric assessment of gray matter and hippocampal volumes from MRI scans of patients attending non-academic memory clinics fails in up to 32% of cases. • Clinical MR acquisition protocols should be optimized to improve the output of quantitative software for segmentation of Alzheimer's disease-specific outcomes.

Transformation of Rasch model logits for enhanced interpretability.

BACKGROUND: The Rasch model allows for linear measurement based on ordinal item responses from rating scales commonly used to assess health outcomes. Such linear measures may be inconvenient since they are expressed as log-odds units (logits) that differ from scores that users may be familiar with. It can therefore be desirable to transform logits into more user-friendly ranges that preserve their linear properties. In addition to user-defined ranges, three general transformations have been described in the literature: the least measurable difference (LMD), the standard error of measurement (SEM) and the least significant difference (LSD). The LMD represents the smallest possible meaningful unit, SEM relates the transformed scale values to measurement uncertainty (one unit on the transformed scale represents roughly one standard error), and LSD represents a lower bound for how coarse the transformed scale can be without loss of valid information. However, while logit transformations are relatively common in the health sciences, use of LMD, SEM and LSD transformations appear to be uncommon despite their potential role. METHODS: Logit transformations were empirically illustrated based on 1053 responses to the Epworth Sleepiness Scale. Logit measures were transformed according to the LMD, SEM and LSD, and into 0-10, 0-100, and the original raw score (0-24) ranges. These transformations were conducted using a freely available Excel tool, developed by the authors, that transforms logits into user-defined ranges along with the LMD, SEM and LSD transformations. RESULTS: Resulting LMD, SEM and LSD transformations ranged 0-34, 0-17 and 0-12, respectively. When considering these relative to the three user-defined ranges, it is seen that the 0-10 range is narrower than the LSD range (i.e., loss of valid information), and a 0-100 range gives the impression of better precision than there is, since it is considerably wider than the LMD range. However, the 0-24 transformation appears reasonable since it is wider than the LSD, but narrower than the LMD ranges. CONCLUSIONS: It is suggested that LMD, SEM and LSD transformations are valuable for benchmarking in deciding appropriate ranges when transforming logit measures. This process can be aided by the Excel tool presented and illustrated in this paper.