Patient-advocate-led global coalition adapting fit-for-purpose outcomes measures to assure meaningful inclusion of DEEs in clinical trials.

Existing clinical tools that measure non-seizure outcomes lack the range and granularity needed to capture skills in developmental and epileptic encephalopathy (DEE)-affected individuals who also fall in the severe to profound range of intellectual disability. This effectively excludes those with severe impairments from clinical trials, impeding the ability of sponsors to evaluate disease-modifying therapies (DMTs). The Inchstone Project, an international, patient advocate-led collaboration, brings together leading researchers, clinicians, pharmaceutical companies, and advocates to develop an adapted, validated assessment battery within 5 years. The goal is to support trials of DMTs for the DEEs by providing sufficiently sensitive measurement tools to demonstrate therapeutic efficacy. An initial pilot study administered 7 established assessments to 10 individuals affected by SCN2A-DEE, identifying specific limitations of existing measures and areas for improvement. It was clear that most tools do not account for challenges throughout the DEE population, including vision impairments, significant motor impairments and profound intellectual disability, which need to be accounted for in creating a 'fit-for-purpose' battery for the DEE population. Several novel assessments, including two measures of responsivity developed for use in monitoring recovery after acquired brain injury as well as individualized Goal Attainment Scaling, showed promise in this group. The team also completed a DEE-wide survey with over 270 caregivers documenting their children's abilities and priorities for their improvement from new treatments. The Inchstone team is using this information to evaluate how existing tools might be updated to better capture what is most important to families and measure their child's small but important improvements over time. These efforts are building a coherent picture across multiple DEEs of what domains, or concepts of interest, have the greatest impact on most patients and families. The Inchstone team is on course to adapt non-seizure outcome measures that are (1) sufficiently sensitive to measure small increments of meaningful change ('Inchstones') and (2) applicable to multiple DEE conditions.

DEE-P Connection's Inchstone project is adapting assessment tools to measure the smallest developmental changes in those affected by developmental and epileptic encephalopathies (DEEs) - severe epilepsy and related developmental disorders. More sensitive measures will allow profoundly impacted individuals to be effectively included in clinical trials and result in better DEE treatments. Caregivers of children with DEEs understand firsthand that clinical tools intended to measure non-seizure outcomes, like communication and motor skills, were not designed for and don't work for their children. More sensitive tools are needed to measure the small changes that occur in DEEs. The limitations of existing measurement tools for DEEs have significant consequences: - Non-seizure responses to new therapies cannot be measured without tools designed specifically for individuals with severe to profound intellectual disability.- If a response cannot be measured in a trial, a potentially beneficial impact will be missed and a therapy, having failed to demonstrate an effect, may not gain regulatory approval.- DEE-affected individuals are less likely to benefit from the wave of new disease-modifying therapies providing hope for many other rare genetic diseases. DEE-P Connections, a patient advocacy organization supporting families caring for those severely affected by DEEs, launched The Inchstone Project to address this problem. This team science research collaborative unites researchers, pharmaceutical companies, advocates and others around a shared vision of adapting existing tools to reliably capture the small but important changes in skills in those severely affected by DEEs. To better understand these gaps, the Inchstone team conducted a pilot study with 10 children with SCN2A DEE. The team administered multiple assessments to explore how to adapt the tools to better capture the abilities and growth of this population. The team also completed a comprehensive DEE-wide survey with over 270 caregivers documenting their children's abilities and priorities for their improvement from new treatments, helping to document how existing tools may be updated to better capture what's most important to families and measure their children's small but important improvements over time. The Inchstone Project is on course to assure those profoundly impacted by DEEs are meaningfully included in clinical trials by establishing trusted and reliable non-seizure measurement tools.

Leveraging sensor-based functional outcomes to enhance understanding of the patient experience: challenges and opportunities.

INTRODUCTION: Sensor-based digital health technology (DHT) has emerged as a promising means to assess patient functioning within and outside clinical trials. Sensor-based functional outcomes (SBFOs) provide valuable insights that complement other measures of how a patient feels or functions to enhance understanding of the patient experience to inform medical product development. AREAS COVERED: This perspective paper provides recommendations for defining SBFOs, discusses the core evidence required to support SBFOs to inform decision-making, and considers future directions for the field. EXPERT COMMENTARY: The clinical outcome assessment (COA) development process provides an important starting point for developing patient-centered SBFOs; however, given the infancy of the field, SBFO development may benefit from a hybrid approach to evidence generation by merging exploratory data analysis with patient engagement in measure development. Effective SBFO development requires combining unique expertise in patient engagement, measurement and regulatory science, and digital health and analytics. Challenges specific to SBFO development include identifying concepts of interest, ensuring measurement of meaningful aspects of health, and identifying thresholds for meaningful change. SBFOs are complementary to other COAs and, as part of an integrated evidence strategy, offer great promise in fostering a holistic understanding of patient experience and treatment benefits, particularly in real-world settings.

Clinical outcome assessments of disease burden and progression in late-onset GM2 gangliosidoses.

The late-onset GM2 gangliosidoses, comprising late-onset Tay-Sachs and Sandhoff diseases, are rare, slowly progressive, neurogenetic disorders primarily characterized by neurogenic weakness, ataxia, and dysarthria. The aim of this longitudinal study was to characterize the natural history of late-onset GM2 gangliosidoses using a number of clinical outcome assessments to measure different aspects of disease burden and progression over time, including neurological, functional, and quality of life, to inform the design of future clinical interventional trials. Patients attending the United States National Tay-Sachs & Allied Diseases Family Conference between 2015 and 2019 underwent annual clinical outcome assessments. Currently, there are no clinical outcome assessments validated to assess late-onset GM2 gangliosidoses; therefore, instruments used or designed for diseases with similar features, or to address various aspects of the clinical presentations, were used. Clinical outcome assessments included the Friedreich's Ataxia Rating Scale, the 9-Hole Peg Test, and the Assessment of Intelligibility of Dysarthric Speech. Twenty-three patients participated in at least one meeting visit (late-onset Tay-Sachs, n = 19; late-onset Sandhoff, n = 4). Patients had high disease burden at baseline, and scores for the different clinical outcome assessments were generally lower than would be expected for the general population. Longitudinal analyses showed slow, but statistically significant, neurological progression as evidenced by worsening scores on the 9-Hole Peg Test (2.68%/year, 95% CI: 0.13-5.29; p = 0.04) and the Friedreich's Ataxia Rating Scale neurological examination (1.31 points/year, 95% CI: 0.26-2.35; p = 0.02). Time since diagnosis to study entry correlated with worsening scores on the 9-Hole Peg Test (r = 0.728; p < 0.001), Friedreich's Ataxia Rating Scale neurological examination (r = 0.727; p < 0.001), and Assessment of Intelligibility of Dysarthric Speech intelligibility (r = -0.654; p = 0.001). In summary, patients with late-onset GM2 gangliosidoses had high disease burden and slow disease progression. Several clinical outcome assessments suitable for clinical trials showed only small changes and standardized effect sizes (change/standard deviation of change) over 4 years. These longitudinal natural history study results illustrate the challenge of identifying responsive endpoints for clinical trials in rare, slowly progressive, neurogenerative disorders where arguably the treatment goal is to halt or decrease the rate of decline rather than improve clinical status. Furthermore, powering such a study would require a large sample size and/or a long study duration, neither of which is an attractive option for an ultra-rare disease with no available treatment. These findings support the development of potentially more sensitive late-onset GM2 gangliosidoses-specific rating instruments and/or surrogate endpoints for use in future clinical trials.

Video-based assessments of activities of daily living: generating real-world evidence in pediatric rare diseases.

INTRODUCTION: Preserving function and independence to perform activities of daily living (ADL) is critical for patients and carers to manage the burden of care and improve quality of life. In children living with rare diseases, video recording ADLs offer the opportunity to collect the patients' experience in a real-life setting and accurately reflect treatment effectiveness on outcomes that matter to patients and families. AREAS COVERED: We reviewed the measurement of ADL in pediatric rare diseases and the use of video to develop at-home electronic clinical outcome assessments (eCOA) by leveraging smartphone apps and artificial intelligence-based analysis. We broadly searched PubMed using Boolean combinations of the following MeSH terms 'Rare Diseases,' 'Quality of Life,' 'Activities of Daily Living,' 'Child,' 'Video Recording,' 'Outcome Assessment, Healthcare,' 'Intellectual disability,' and 'Genetic Diseases, Inborn.' Non-controlled vocabulary was used to include human pose estimation in movement analysis. EXPERT OPINION: Broad uptake of video eCOA in drug development is linked to the generation of technical and clinical validation evidence to confidently assess a patient's functional abilities. Software platforms handling video data must align with quality regulations to ensure data integrity, security, and privacy. Regulatory flexibility and optimized validation processes should facilitate video eCOA to support benefit/risk drug assessment.

Variability between Different Hand-Held Dynamometers for Measuring Muscle Strength.

Muscle strength is routinely measured in patients with neuromuscular disorders by hand-held dynamometry incorporating a wireless load cell to evaluate disease severity and therapeutic efficacy, with magnitude of effect often based on normative reference values. While several hand-held dynamometers exist, their interchangeability is unknown which limits the utility of normative data. We investigated the variability between six commercially available dynamometers for measuring the isometric muscle strength of four muscle groups in thirty healthy individuals. Following electro-mechanical sensor calibration against knowns loads, Citec, Nicholas, MicroFET2, and Commander dynamometers were used to assess the strength of ankle dorsiflexors, hip internal rotators, and shoulder external rotators. Citec, Jamar Plus, and Baseline Hydraulic dynamometers were used to capture hand grip strength. Variability between dynamometers was represented as percent differences and statistical significance was calculated with one-way repeated measures ANOVA. Percent differences between dynamometers ranged from 0.2% to 16%. No significant differences were recorded between the Citec, Nicholas, and MicroFET2 dynamometers (p > 0.05). Citec grip strength measures differed to the Jamar Plus and Baseline Hydraulic dynamometers (p < 0.01). However, when controlling for grip circumference, they were comparable (p > 0.05). Several hand-held dynamometers can be used interchangeably to measure upper and lower limb strength, thereby maximising the use of normative reference values.

Defining clinical endpoints in limb girdle muscular dystrophy: a GRASP-LGMD study.

BACKGROUND: The Limb Girdle Muscular Dystrophies (LGMDs) are characterized by progressive weakness of the shoulder and hip girdle muscles as a result of over 30 different genetic mutations. This study is designed to develop clinical outcome assessments across the group of disorders. METHODS/DESIGN: The primary goal of this study is to evaluate the utility of a set of outcome measures on a wide range of LGMD phenotypes and ability levels to determine if it would be possible to use similar outcomes between individuals with different phenotypes. We will perform a multi-center, 12-month study of 188 LGMD patients within the established Genetic Resolution and Assessments Solving Phenotypes in LGMD (GRASP-LGMD) Research Consortium, which is comprised of 11 sites in the United States and 2 sites in Europe. Enrolled patients will be clinically affected and have mutations in CAPN3 (LGMDR1), ANO5 (LGMDR12), DYSF (LGMDR2), DNAJB6 (LGMDD1), SGCA (LGMDR3), SGCB (LGMDR4), SGCD (LGMDR6), or SGCG (LGMDR5, or FKRP-related (LGMDR9). DISCUSSION: To the best of our knowledge, this will be the largest consortium organized to prospectively validate clinical outcome assessments (COAs) in LGMD at its completion. These assessments will help clinical trial readiness by identifying reliable, valid, and responsive outcome measures as well as providing data driven clinical trial decision making for future clinical trials on therapeutic agents for LGMD. The results of this study will permit more efficient clinical trial design. All relevant data will be made available for investigators or companies involved in LGMD therapeutic development upon conclusion of this study as applicable. TRIAL REGISTRATION: Clinicaltrials.gov NCT03981289; Date of registration: 6/10/2019.

Development of a Conceptual Model for the Patient Experience of Immunoglobulin A Nephropathy (IgAN): A Qualitative Literature Review.

INTRODUCTION: Immunoglobulin A nephropathy (IgAN) is a kidney disorder that can lead to progressive kidney disease. Currently, there lacks a comprehensive overview of the symptoms and impacts experienced by those living with IgAN that would help inform the selection or development of fit-for-purpose clinical outcome assessments (COA) to be used in clinical trials. The aim of this study was to develop a conceptual model of the adult and pediatric patient experience of IgAN, including disease signs and symptoms, treatment side effects, and impact on functioning and well-being. METHODS: This study comprised a systematic review and thematic analysis of qualitative studies with adults and children diagnosed with IgAN. Data sources were identified through an electronic database search of journal articles (MEDLINE, Embase, PsycINFO; June 2021), hand-searching of conference proceedings, patient advocacy group websites, and gray literature. Non-English articles were excluded. Identified data (patient/caregiver quotes, author summaries, and interpretations of patient experiences) were extracted from articles. Extracted data were qualitatively analyzed, aided by ATLAS.ti v7. Codes were applied to data; concepts (i.e., symptoms) were identified, named, and refined. A conceptual model was developed by grouping related concepts into domains. RESULTS: In total, five sources were identified for analysis: two journal articles, two online anthologies of patient stories, and one patient organization-sponsored "Voice of the Patient" meeting report. Conceptual model symptom domains included swelling/puffiness (edema), pain/aches/discomfort, fatigue, weight gain, sleep problems, urinary problems, and gastrointestinal problems. Impact domains included emotional/psychological well-being, physical functioning/activities of daily living, social functioning, work/school, and relationships. CONCLUSIONS: Secondary analysis of published qualitative literature permitted development of a novel conceptual model depicting the patient experience of IgAN; however, its depth is limited by a lack of available literature. Further qualitative research is recommended to refine and/or confirm the concepts and domains, determine any relationships between them, and explore the outcomes that are most meaningful to patients. The refined model will provide a useful tool to inform the selection, development, and/or amendment of COAs for use in future IgAN clinical trials.

Clinician-Reported Physical and Cognitive Impairments After Convulsive Status Epilepticus: Post Hoc Study of a Randomized Controlled Trial.

BACKGROUND: Clinician-reported outcome (ClinRO) measures are emerging as useful contributors to assessments of treatment benefits. The objective of this study was to collect ClinRO measures of physical and cognitive impairments after convulsive status epilepticus (CSE) requiring intensive care unit admission. METHODS: We conducted a post hoc analysis of the data from HYBERNATUS, a multicenter open-label controlled trial that randomized 270 critically ill patients with CSE requiring mechanical ventilation in 11 French intensive care units to therapeutic hypothermia (32-34 °C for 24 h) plus standard care or standard care alone. We included all patients who attended a day 90 in-person neurologist visit with measurement of the functional independence measure (FIM) score (range from 18 [total assistance] to 126 [total independence]), Mini-Mental State Examination (MMSE) score (range 0-30), and Glasgow outcome scale (GOS) score (1, death; 2, vegetative state; 3, severe disability; 4, moderate disability; and 5, mild or no disability). These three scores were compared across groups defined by several patient and CSE characteristics. RESULTS: Of 229 patients with GOS scores ≥ 3 on day 90 (male sex, 58.2%; median age, 56 years [47-67]), 67 (29%) attended an in-person neurologist visit. Twenty-nine (43%) patients had a previous history of epilepsy, and 16 (24%) patients had a primary brain insult. CSE was refractory in 22 (33%) patients. On day 90 after CSE onset, median FIM and MMSE scores were 121 (112-125) and 26.0 (24.0-28.8), respectively. The GOS score was 3 in 16 (33.8%) patients, 4 in 9 (13.4%) patients, and 5 in 42 (62.7%) patients. Worse GOS score values were significantly associated with worse FIM and MMSE scores. CONCLUSIONS: In patients attending the in-person neurologist visit on day 90 after CSE onset, ClinRO measures indicated that the main impairments were cognitive. FIM and MMSE scores were associated with GOS scores. Further studies are needed to evaluate the possible impact of neuroprotective and rehabilitation strategies on disability and cognitive impairments in survivors of CSE. Clinical trial registration NCT01359332.

Providing meaningful interpretation of performance outcome measures by co-calibration with patient-reported outcomes through the Rasch model: illustration with multiple sclerosis measures.

Performance outcome (PerfO) measures are based on tasks performed by patients in a controlled environment, making their meaningful interpretation challenging to establish. Co-calibrating PerfO and patient-reported outcome (PRO) measures of the same target concept allow for interpretation of the PerfO with the item content of the PRO. The Rasch model applied to the discretized PerfO measure together with the PRO items allows expressing parameters related to the PerfO measure in the PRO metric for it to be linked to the PRO responses. We applied this approach to two PerfO measures used in multiple sclerosis (MS) for walking and manual ability: the Timed 25-Foot Walk (T25FW) and the 9-Hole Peg Test (9HPT). To determine meaningful interpretation of these two PerfO measures, they were co-calibrated with two PRO measures of closely related concepts, the MS walking scale - 12 items (MSWS-12) and the ABILHAND, using the data of 2,043 subjects from five global clinical trials in MS. The probabilistic relationships between the PerfO measures and the PRO metrics were used to express the response pattern to the PRO items as a function of the unit of the PerfOs. This example illustrates the promises of the co-calibration approach for the interpretation of PerfO measures but also highlights the challenges associated with it, mostly related to the quality of the PRO metric in terms of coverage of the targeted concept. Co-calibration with PRO measures could also be an adequate solution for interpretation of digital sensor measures whose meaningfulness is also often questioned.

Defining Clinical Endpoints in Limb Girdle Muscular Dystrophy: A GRASP-LGMD study.

Background: The Limb Girdle Muscular Dystrophies (LGMDs) are characterized by progressive weakness of the shoulder and hip girdle muscles as a result of over 30 different genetic mutations. This study is designed to develop clinical outcome assessments across the group of disorders. Methods/design: The primary goal of this study is to evaluate the utility of a set of outcome measures on a wide range of LGMD phenotypes and ability levels to determine if it would be possible to use similar outcomes between individuals with different phenotypes. We will perform a multi-center, 12-month study of 188 LGMD patients within the established Genetic Resolution and Assessments Solving Phenotypes in LGMD (GRASP-LGMD) Research Consortium, which is comprised of 11 sites in the United States and 2 sites in Europe. Enrolled patients will be clinically affected and have mutations in CAPN3 (LGMDR1), ANO5 (LGMDR12), DYSF (LGMDR2), DNAJB6 (LGMDD1), SGCA (LGMDR3), SGCB (LGMDR4), SGCD (LGMDR6), or SGCG (LGMDR5, or FKRP-related (LGMDR9). Discussion: To the best of our knowledge, this will be the largest consortium organized to prospectively validate clinical outcome assessments (COAs) in LGMD at its completion. These assessments will help clinical trial readiness by identifying reliable, valid, and responsive outcome measures as well as providing data driven clinical trial decision making for future clinical trials on therapeutic agents for LGMD. The results of this study will permit more efficient clinical trial design. All relevant data will be made available for investigators or companies involved in LGMD therapeutic development upon conclusion of this study as applicable. Trial registration: clinicaltrials.gov NCT03981289; Date of registration: 6/10/2019.

Experience of Daily Life with Generalized Myasthenia Gravis: A Qualitative Investigation and Assessment of Instrument Content Validity.

INTRODUCTION: Generalized myasthenia gravis (gMG) is a rare autoimmune disease. Symptoms of gMG are diverse, and understanding of their impact on patients is limited. This qualitative study aimed to provide an in-depth exploration of patients' daily experiences of gMG. METHODS: Published qualitative studies were reviewed to identify the most important signs, symptoms, and functional impacts related to the patient experience in gMG. Semi-structured hybrid concept elicitation interviews (allowing spontaneous generation of disease concepts) and cognitive debriefing interviews (assessing the validity of existing disease assessments) were conducted with clinicians and adult patients with gMG. Signs, symptoms, and impacts were reviewed to understand which were most salient (i.e., reported by at least 50% of patients, with disturbance rating 5 or higher [10-point numeric scale]); concept saturation was also assessed. The disease conceptual model was updated. Existing clinical outcomes assessments (COAs) that capture how patients feel, function, and survive were assessed. RESULTS: Interviews with patients (n = 24) identified seven new signs and symptoms and 37 new impacts compared with the literature. Concept saturation was reached. Signs and symptoms identified by patients as most important (salient) were shortness of breath, general fatigue, muscle weakness of arms, legs, and neck, dysphonia, dysarthria, trouble swallowing liquids, choking, and heat sensitivity. Patient-identified salient impacts were work life, depression, difficulty walking, grooming hair, showering, and brushing teeth, eating, personal relationships, family life, and participating in social activities. Clinicians considered ocular, respiratory, swallowing, speech/talking, and extremity function as key clinical manifestations of gMG. Patients and clinicians found clinical outcome assessments (COAs) to be conceptually relevant and comprehensive. CONCLUSION: This research provides a holistic understanding of gMG signs, symptoms, and impacts experienced by patients, as observed by patients and clinicians. The conceptual model of gMG highlights the range of signs, symptoms, and impacts that adult patients with gMG experience in their everyday lives, emphasizing the humanistic impact and unmet needs.

Special Issue PRO-Analysis of Clinically Meaningful Change on Patient-Reported Outcomes: Renewed Insights About Covariate Adjustment.

Determining clinically meaningful change (CMC) in a patient-reported (PRO) measure is central to its existence in gauging how patients feel and function, especially for evaluating a treatment effect. Anchor-based approaches are recommended to estimate a CMC threshold on a PRO measure. Determination of CMC involves linking changes or differences in the target PRO measure to that in an external (anchor) measure that is easier to interpret than and appreciably associated with the PRO measure. One type of anchor-based approach for CMC is the "mean change method" where the mean change in score of the target PRO measure within a particular anchor transition level (e.g. one-category improvement) is subtracted from the mean change in score of within an adjacent anchor category (e.g. no change category). In the literature, the mean change method has been applied with and without an adjustment for the baseline scores for the PRO of interest. This article provides the analytic rationale and conceptual justification for keeping the analysis unadjusted and not controlling for baseline PRO scores. Two illustrative examples are highlighted. The current research is essentially a variation of Lord's paradox (where whether to adjust for a baseline variable depends on the research question) placed in a new context. Once the adjustment is made, the resulting CMC estimate reflects an artificial case where the anchor transition levels are forced to have the same average baseline PRO score. The unadjusted estimate acknowledges that the anchor transition levels are naturally occurring (not randomized) groups and thus maintains external validity.

Patient Experience of Lichen Planus: A Qualitative Exploration of Signs, Symptoms, and Health-Related Quality of Life Impacts.

INTRODUCTION: Lichen planus (LP) is an inflammatory skin disorder that can present in various forms across the body, including lesions on the skin (cutaneous LP [CLP]), scalp (lichen planopilaris [LPP]), and mucosal regions (mucosal LP [MLP]). Qualitative exploration of the patient experience of LP, notably symptoms and impacts on health-related quality of life (HRQoL), is limited. A scarcity of research was also identified relating to emotional wellbeing impacts of CLP patients. Two qualitative studies were conducted with LP patients to address these gaps. METHODS: Study 1 consisted of exit interviews conducted with a subset of adult patients with MLP (n = 5), CLP (n = 4), and LPP (n = 4) enrolled in an LP clinical study in the United States (US) to explore the patient experience. Study 2 consisted of independent qualitative interviews conducted with adult CLP patients (n = 13) from the US and Germany to further explore impacts on emotional wellbeing. RESULTS: Exit interviews found that itch , pain, and skin lesions were most frequently reported as signs/symptoms of LP. Itch and skin lesions were experienced across all LP subtypes, while pain was only reported by CLP and MLP patients. These signs/symptoms impacted HRQoL including emotional wellbeing (frustration, embarrassment), daily activities (oral hygiene, clothing options), social functioning (intimacy, social activities), and physical functioning (chewing/swallowing, opening/moving mouth). Impacts on activities of daily living (ADL) and physical functioning were mostly experienced by MLP patients. Independent qualitative interviews, which further explored impacts of CLP on patients' emotional wellbeing, identified frustration, worry, sadness, embarrassment, and depression as the most frequently experienced. CONCLUSION: The findings contribute to the literature by providing qualitative insights into signs/symptoms and HRQoL impacts of LP, from the adult patient perspective. The findings also highlight the importance of considering assessment of HRQoL impacts in future clinical LP research, particularly impacts on emotional wellbeing when selecting instruments for assessment of HRQoL in the CLP population. TRIAL REGISTRATION: NCT04300296.

Enabling endpoint development for interventional clinical trials in individuals with Angelman syndrome: a prospective, longitudinal, observational clinical study (FREESIAS).

BACKGROUND: Angelman syndrome (AS) is a rare neurodevelopmental disorder characterized by the absence of a functional UBE3A gene, which causes developmental, behavioral, and medical challenges. While currently untreatable, comprehensive data could help identify appropriate endpoints assessing meaningful improvements in clinical trials. Herein are reported the results from the FREESIAS study assessing the feasibility and utility of in-clinic and at-home measures of key AS symptoms. METHODS: Fifty-five individuals with AS (aged < 5 years: n = 16, 5-12 years: n = 27, ≥ 18 years: n = 12; deletion genotype: n = 40, nondeletion genotype: n = 15) and 20 typically developing children (aged 1-12 years) were enrolled across six USA sites. Several clinical outcome assessments and digital health technologies were tested, together with overnight 19-lead electroencephalography (EEG) and additional polysomnography (PSG) sensors. Participants were assessed at baseline (Clinic Visit 1), 12 months later (Clinic Visit 2), and during intermittent home visits. RESULTS: The participants achieved high completion rates for the clinical outcome assessments (adherence: 89-100% [Clinic Visit 1]; 76-91% [Clinic Visit 2]) and varied feasibility of and adherence to digital health technologies. The coronavirus disease 2019 (COVID-19) pandemic impacted participants' uptake of and/or adherence to some measures. It also potentially impacted the at-home PSG/EEG recordings, which were otherwise feasible. Participants achieved Bayley-III results comparable to the available natural history data, showing similar scores between individuals aged ≥ 18 and 5-12 years. Also, participants without a deletion generally scored higher on most clinical outcome assessments than participants with a deletion. Furthermore, the observed AS EEG phenotype of excess delta-band power was consistent with prior reports. CONCLUSIONS: Although feasible clinical outcome assessments and digital health technologies are reported herein, further improved assessments of meaningful AS change are needed. Despite the COVID-19 pandemic, remote assessments facilitated high adherence levels and the results suggested that at-home PSG/EEG might be a feasible alternative to the in-clinic EEG assessments. Taken altogether, the combination of in-clinic/at-home clinical outcome assessments, digital health technologies, and PSG/EEG may improve protocol adherence, reduce patient burden, and optimize study outcomes in AS and other rare disease populations.

Development and early qualitative evidence of two novel patient-reported outcome instruments to assess daily functioning in people with early-stage Parkinson's.

BACKGROUND: Previous research on concepts that are important to people living with early-stage Parkinson's indicated that 'functional' slowness, fine motor skills, and subtle gait abnormalities are cardinal concepts that are not comprehensively captured by existing patient-reported outcome (PRO) instruments that are used in clinical practice and research to assess symptoms and daily functioning within this patient population. We sought to develop novel PRO instruments to address this unmet need. METHODS: PRO instrument development was led by a multidisciplinary research group, including people living with Parkinson's (termed 'patient experts'), as well as patient engagement and involvement, regulatory science, clinical, and outcome measurement experts. A first set of PRO instruments, termed Early Parkinson's Function Slowness (42 items) and Early Parkinson's Mobility (26 items), were drafted to capture 'functional' slowness, fine motor skills, and subtle gait abnormalities. These PRO instruments were used in cognitive debriefing interviews with people living with early-stage Parkinson's (who were not involved with the multidisciplinary research group) to identify issues with relevance, clarity, ease of completion, conceptual overlap, or missing concepts. RESULTS: Sixty people living with early-stage Parkinson's were interviewed, which led to refining the items to 45 for the Early Parkinson's Functional Slowness and 23 for the Early Parkinson's Mobility PRO instruments. Refinement included rewording items to address clarity issues, merging or splitting items to address overlap issues, and adding new items to address missing concepts. The Early Parkinson's Function Slowness PRO instrument resulted in a multidimensional instrument covering upper limb, complex/whole body, general activity, and cognitive functional slowness. The Early Parkinson's Mobility PRO instrument resulted in comprehensive coverage of everyday mobility tasks, with a focus on gait concepts, plus complex/whole body, balance, and lower limb mobility. CONCLUSIONS: The Early Parkinson's Function Slowness and Early Parkinson's Mobility PRO instruments aim to address gaps in existing PRO instruments to measure meaningful symptoms and daily functioning in people living with early-stage Parkinson's. Utilizing a meticulous study design led by a multidisciplinary research group that included patient experts helped to ensure that the PRO instruments were patient-centric, content valid, and meaningful from a clinical and measurement perspective.

From Meaningful Outcomes to Meaningful Change Thresholds: A Path to Progress for Establishing Digital Endpoints.

This paper examines the use of digital endpoints (DEs) derived from digital health technologies (DHTs), focusing primarily on the specific considerations regarding the determination of meaningful change thresholds (MCT). Using DHTs in drug development is becoming more commonplace. There is general acceptance of the value of DHTs supporting patient-centric trial design, capturing data outside the traditional clinical trial setting, and generating DEs with the potential to be more sensitive to change than conventional assessments. However, the transition from exploratory endpoints to primary and secondary endpoints capable of supporting labeling claims requires these endpoints to be substantive with reproducible population-specific values. Meaningful change represents the amount of change in an endpoint measure perceived as important to patients and should be determined for each digital endpoint and given population under consideration. This paper examines existing approaches to determine meaningful change thresholds and explores examples of these methodologies and their use as part of DE development: emphasizing the importance of determining what aspects of health are important to patients and ensuring the DE captures these concepts of interest and aligns with the overarching endpoint strategy. Examples are drawn from published DE qualification documentation and responses to qualification submissions under review by the various regulatory authorities. It is the hope that these insights will inform and strengthen the development and validation of DEs as drug development tools, particularly for those new to the approaches to determine MCTs.

Updated Recommendations on Evidence Needed to Support Measurement Comparability Among Modes of Data Collection for Patient-Reported Outcome Measures: A Good Practices Report of an ISPOR Task Force.

The ISPOR Task Force on measurement comparability between modes of data collection for patient-reported outcome measures (PROMs) has updated the good practice recommendations from the 2009 ISPOR electronic patient-reported outcome and 2014 patient-reported outcome mixed modes Good Research Practices Task Force reports in light of accumulated evidence of measurement comparability among different modes of PROM data collection. Furthermore, with the increasing use of electronic formats of clinical outcome assessments in clinical trials and the US Food and Drug Administration's encouragement of electronic data collection, this new task force report provides stakeholders with best practice recommendations reflecting the current body of evidence and enables them to respond to future developments in research and technology. This task force recommends an evidence-based approach to determine whether new research is needed to evaluate measurement comparability for a given questionnaire or technology. The suitability of existing evidence depends upon whether it satisfactorily demonstrates that the change in data collection mode has not affected the PROM's measurement properties. In cases where sufficient evidence of measurement comparability exists and best practices for faithful migration are followed, this task force concludes that further testing of measurement comparability among the data collection modes is unnecessary, including cases of "mixing modes" within clinical trials such as bring your own device designs.

Why a clinical trial is as good as its outcome measure: A framework for the selection and use of cognitive outcome measures for clinical trials of Alzheimer's disease.

A crucial aspect of any clinical trial is using the right outcome measure to assess treatment efficacy. Compared to the rapidly evolved understanding and measurement of pathophysiology in preclinical and early symptomatic stages of Alzheimer's disease (AD), relatively less progress has been made in the evolution of clinical outcome assessments (COAs) for those stages. The current paper aims to provide a benchmark for the design and evaluation of COAs for use in early AD trials. We discuss lessons learned on capturing cognitive changes in predementia stages of AD, including challenges when validating novel COAs for those early stages and necessary evidence for their implementation in clinical trials. Moving forward, we propose a multi-step framework to advance the use of more effective COAs to assess clinically meaningful changes in early AD, which will hopefully contribute to the much-needed consensus around more appropriate outcome measures to assess clinical efficacy of putative treatments. HIGHLIGHTS: We discuss lessons learned on capturing cognitive changes in predementia stages of AD. We propose a framework for the design and evaluation of performance based cognitive tests for use in early AD trials. We provide recommendations to facilitate the implementation of more effective cognitive outcome measures in AD trials.

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.

Deriving stair-climbing performance outcome measures using the smartphone barometer: Results of an algorithm development study.

As we seek to gain richer insights to understand intervention effects, and increasingly decentralise aspects of clinical trials to simplify participation, there is a growing interest in leveraging wearables and sensors to generate novel and informative clinical outcome measures for at-home assessment. The sensors embedded within smartphone technology provide one approach to capture of this data, and may be particularly useful when patients are already using mobile devices for at-home capture of other clinical trials data, such as patient-reported outcomes. We describe the results of an initial algorithm development study to determine whether the atmospheric pressure data provided by an onboard smartphone sensor is sufficiently informative to enable detection of a small height gain, such as that achieved during a short stair climb performance test. We were able to sufficiently distinguish height changes of 0.6 m in indoor conditions, representing around 4 stairs on an average staircase. This suggests that the smartphone barometer may indeed be suitable for inclusion within future work developing a stair-climbing performance outcome test instrumented using a mobile application.