Design of a virtual longitudinal observational study in Parkinson's disease (AT-HOME PD)

In-Home Remote Assessment of the MDS-UPDRS Part III: Multi-Cultural Development and Validation of a Guide for Patients

BACKGROUND

The shift toward virtualized care introduces challenges in assessing the motor severity of Parkinson's disease (PD). The Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III, the most used rating scale in PD, lacks validation for synchronous remote administration.

OBJECTIVE

Our goal was to validate the usability of a patient guide to allow an accurate video-based MDS-UDPRS part III remote examination.

METHODS

We conducted a multi-stage mixed methods study that included a team consensus for the concept of the guide, cognitive pretesting, and usability (system usability scale, [SUS]) testing in five sites (total n = 25 participants) with distinct linguistic and cultural contexts.

RESULTS

A multi-language (English, Portuguese, Spanish, and traditional Chinese) largely pictograph guide of the MDS-UPDRS part III remote examination reached benchmark for usability (SUS score ≥68) in 25 participants who completed the synchronous remote assessment.

CONCLUSIONS

The MDS-UDPRS part III remote examination guide can be used remotely accurately, and facilitate clinical practice and research in a paradigm of telemedicine.

Disease-modifying therapies for Parkinson disease: lessons from multiple sclerosis

The development of disease-modifying therapies (DMTs) for neurological disorders is an important goal in modern neurology, and the associated challenges are similar in many chronic neurological conditions. Major advances have been made in the multiple sclerosis (MS) field, with a range of DMTs being approved for relapsing MS and the introduction of the first DMTs for progressive MS. By contrast, people with Parkinson disease (PD) still lack such treatment options, relying instead on decades-old therapeutic approaches that provide only symptomatic relief. To address this unmet need, an in-person symposium was held in Toronto, Canada, in November 2022 for international researchers and experts in MS and PD to discuss strategies for advancing DMT development. In this Roadmap article, we highlight discussions from the symposium, which focused on therapeutic targets and preclinical models, disease spectra and subclassifications, and clinical trial design and outcome measures. From these discussions, we propose areas for novel or deeper exploration in PD using lessons learned from therapeutic development in MS. In addition, we identify challenges common to the PD and MS fields that need to be addressed to further advance the discovery and development of effective DMTs.

Implementing sensor-based digital health technologies in clinical trials: Key considerations from the eCOA Consortium

The increased use of sensor-based digital health technologies (DHTs) in clinical trials brought to light concerns about implementation practices that might introduce burden on trial participants, resulting in suboptimal compliance and become an additional complicating factor in clinical trial conduct. These concerns may contribute to the lower-than-anticipated uptake of DHT deployment and data use for regulatory decision-making, despite well-articulated benefits. The Electronic Clinical Outcome Assessment (eCOA) Consortium gathered collective experience on deploying sensor-based DHTs and supplemented this with relevant literature focusing on mechanisms that may enhance participant compliance. The process for DHT implementation starts with identifying a clinical concept of interest followed by a digital measure selection, defining active or passive data capture and their sources, the number of sensors with respective body location, plus the duration and frequency of use in the context of perceived participant burden. Roundtable discussions among patient groups, physicians, and technology providers prior to protocol development can be very impactful for optimizing trial design. While diversity and inclusion are essential for any clinical trial, patient populations should be considered carefully in the context of trial-specific aims, requirements, and anticipated patient burden. Minimizing site burden includes assessment of training, research engagement, and logistical burden which needs to be triaged differently for early and late-stage clinical trials. Additional considerations include sharing trial results with study participants and leveraging publicly available data for compliance modeling. To the best of our knowledge, this report provides holistic considerations for sensor-based DHT implementation that may optimize participant compliance.

Fox Insight at 5 years - a cohort of 54,000 participants contributing longitudinal patient-reported outcome, genetic, and microbiome data relating to Parkinson's disease

Fox Insight is an online, longitudinal study of over 54,000 people with and without Parkinson's disease, facilitating discovery, validation, and reproducibility in Parkinson's disease research. The study administers routine longitudinal assessments, one-time questionnaires on an array of topics such as environmental exposure or COVID-19, plus genetic and microbiome data collection. Researchers can explore and download patient-reported outcomes data and Parkinson's disease related genetic variants upon completing a Data Use Agreement. The full genetic data set, including approximately 650,000 single nucleotide polymorphisms for over 10,000 participants, and the microbiome data set for over 650 participants, can be requested with a heightened level of access. Since the first Fox Insight data descriptor was published in 2020, the data captured has been extended significantly, so this paper supersedes the previous one. Since then, the number of participants has increased by more than 20,000; an additional 1,747,729 surveys were completed; 130 gigabytes of genetic data were released; responses from 16 new one-time surveys were collected; and, data from one additional sub-study was made available.

Online cognitive testing in Parkinson's disease: advantages and challenges

Parkinson's disease (PD) is primarily characterized by motor symptoms. Yet, many people with PD experience cognitive decline, which is often unnoticed by clinicians, although it may have a significant impact on quality of life. For over half a century, traditional in-person PD cognitive assessment lacked accessibility, scalability, and specificity due to its inherent limitations. In this review, we propose that novel methods of online cognitive assessment could potentially address these limitations. We first outline the challenges of traditional in-person cognitive testing in PD. We then summarize the existing literature on online cognitive testing in PD. Finally, we explore the advantages, but also the limitations, of three major processes involved in online PD cognitive testing: recruitment and sampling methods, measurement and participation, and disease monitoring and management. Taking the limitations into account, we aim to highlight the potential of online cognitive testing as a more accessible and efficient approach to cognitive testing in PD.

Smartphone applications for Movement Disorders: Towards collaboration and re-use

BACKGROUND

Numerous smartphone and tablet applications (apps) are available to monitor movement disorders, but an overview of their purpose and stage of development is missing.

OBJECTIVES

To systematically review published literature and classify smartphone and tablet apps with objective measurement capabilities for the diagnosis, monitoring, assessment, or treatment of movement disorders.

METHODS

We systematically searched for publications covering smartphone or tablet apps to monitor movement disorders until November 22nd, 2023. We reviewed the target population, measured domains, purpose, and technology readiness level (TRL) of the proposed app and checked their availability in common app stores.

RESULTS

We identified 113 apps. Most apps were developed for Parkinson's disease specifically (n = 82; 73%) or for movement disorders in general (n = 17; 15%). Apps were either designed to momentarily assess symptoms (n = 65; 58%), support treatment (n = 22; 19%), aid in diagnosis (n = 16; 14%), or passively track symptoms (n = 11; 10%). Commonly assessed domains across movement disorders included fine motor skills (n = 34; 30%), gait (n = 36; 32%), and tremor (n = 32; 28%) for the motor domain and cognition (n = 16; 14%) for the non-motor domain. Twenty-six (23%) apps were proof-of-concepts (TRL 1-3), while most apps were tested in a controlled setting (TRL 4-6; n = 63; 56%). Twenty-four apps were tested in their target setting (TRL 7-9) of which 10 were accessible in common app stores or as Android Package.

CONCLUSIONS

The development of apps strongly gravitates towards Parkinson's disease and a selection of motor symptoms. Collaboration, re-use and further development of existing apps is encouraged to avoid reinventions of the wheel.

Narrative review of telemedicine applications in decentralized research

Telemedicine enables critical human communication and interaction between researchers and participants in decentralized research studies. There is a need to better understand the overall scope of telemedicine applications in clinical research as the basis for further research. This narrative, nonsystematic review of the literature sought to review and discuss applications of telemedicine, in the form of synchronous videoconferencing, in clinical research. We searched PubMed to identify relevant literature published between January 1, 2013, and June 30, 2023. Two independent screeners assessed titles and abstracts for inclusion, followed by single-reviewer full-text screening, and we organized the literature into core themes through consensus discussion. We screened 1044 publications for inclusion. Forty-eight publications met our inclusion and exclusion criteria. We identified six core themes to serve as the structure for the narrative review: infrastructure and training, recruitment, informed consent, assessment, monitoring, and engagement. Telemedicine applications span all stages of clinical research from initial planning and recruitment to informed consent and data collection. While the evidence base for using telemedicine in clinical research is not well-developed, existing evidence suggests that telemedicine is a potentially powerful tool in clinical research.

Feasibility for evaluating motor aspects of Parkinson's disease through video consultations in a resource-limited setting in Southern Brazil

BACKGROUND

 Performing motor evaluations using videoconferencing for patients with Parkinson's disease (PD) is safe and feasible. However, the feasibility of these evaluations is not adequately studied in resource-limited settings.

OBJECTIVE

 To evaluate the feasibility of performing motor evaluations for patients with PD in a resource-limited setting.

METHODS

 The examiners rated motor aspects of parkinsonism of 34 patients with PD from the Brazilian public healthcare system through telemedicine with the patient's own means by using the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) rating scale. Quality measures of the video meeting were also obtained. The feasibility of rating the motor aspects was the primary outcome whereas the rating of individual motor aspects, video meeting quality and predictors of a complete evaluation served as secondary outcomes.

RESULTS

 The least assessable parameters were freezing of gait (52.9%), gait (70.6%), leg agility, and rest tremor (both 76.5%). Complete MDS-UPDRS part III was possible in 41.2% of patients and 62 out of 374 motor aspects evaluated (16.6%) were missed. Available physical space for a video evaluation was the worst quality measure. Incomplete evaluations were directly associated with disability (p = 0.048, r = 0.34) and inversely with available physical space (p = 0.003, r = 0.55).

CONCLUSION

 A significant portion of the MDS-UPDRS part III is unable to be performed during telemedicine-based evaluations in a real-life scenario of a resource-limited setting.

Conducting CNS trials during a public health emergency – Lessons learned from the COVID-19 pandemic: A joint ISCTM/ECNP working group consensus paper

A joint working group between the International Society of CNS Clinical Trials and Methodology (ISCTM) and the European College of Neuropsychopharmacology (ECNP) was formed in the latter part of 2020 to explore possible ways to mitigate the impact of Coronavirus disease-19 (COVID-19) in clinical trials while attempting to advance approaches and capabilities to bring new therapeutics to patients. The working group was tasked with developing guidelines for trial design modifications to assist sponsor companies in minimizing risks to data integrity, with a focus on regulatory, technological, operational, and methodological issues related to COVID-19.

To facilitate focused and transferable recommendations, three disease categories were selected as examples to demonstrate the breadth of solutions implemented across CNS clinical trials, as well as ongoing challenges. The categories studied reflected the interests and expertise of the working group, and included neurodegenerative diseases and dementia, mental health disorders, and rare/pediatric diseases. Herein, we describe interim recommendations from the working group as well as priorities for future public health emergencies, to inform permanent adoption in CNS clinical trial development and conduct.

Parkinson's Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson's Disease Progression

BACKGROUND

Identifying a meaningful progression metric for Parkinson's disease (PD) that reflects heterogeneity remains a challenge.

OBJECTIVE

To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones.

METHODS

Using data from the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains ("walking and balance"; "motor complications"; "cognition"; "autonomic dysfunction"; "functional dependence"; "activities of daily living"). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression.

RESULTS

Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p < 0.0001), greater MDS-UPDRS total scores (p < 0.0001), higher GDS-15 depression scores (p = 0.0341), lower dopamine transporter binding (p = 0.0043), and lower CSF total α-synuclein levels (p = 0.0030). Symptomatic treatment was not significantly associated with reaching a milestone (p = 0.1639).

CONCLUSION

Clinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.

Telemedicine in the Management of Parkinson's Disease: Achievements, Challenges, and Future Perspectives

BACKGROUND

As the global population grows, there is an increasing demand for neurologic consultation that prompts new ways to reach more patients. Telemedicine can provide an accessible, cost-effective, and high-quality healthcare services.

OBJECTIVES

In this article, we highlight recent developments, achievements, and challenges regarding outcomes, clinical care, tele-education, teletreatment, teleresearch, and cybersecurity for telemedicine applied to Parkinson´s disease (PD) and other neurological conditions.

RESULTS

A growing body of evidence supports the feasibility and effectiveness of telemedicine tools for PD and other movement disorders. Outcome variables regarding satisfaction and efficacy in clinical care and specific issues about education, research, and treatment are reviewed. Additionally, a specific legal framework for teleconsultation has been developed in some centers worldwide. Yet, the implementation of telemedicine is conditioned by the limitations inherent to remote neurological examination, the variable computer usage literacy among patients, and the availability of a reliable internet connection. At present, telemedicine can be considered an additional tool in the clinical management of PD patients.

CONCLUSIONS

There is an increasing use of remote clinical practice regarding the management of PD and other neurological conditions. Telemedicine is a new and promising tool aimed at special settings and subpopulations.

The role of dyadic cognitive report and subjective cognitive decline in early ADRD clinical research and trials: Current knowledge, gaps, and recommendations

Efficient identification of cognitive decline and Alzheimer's disease (AD) risk in early stages of the AD disease continuum is a critical unmet need. Subjective cognitive decline is increasingly recognized as an early symptomatic stage of AD. Dyadic cognitive report, including subjective cognitive complaints (SCC) from a participant and an informant/study partner who knows the participant well, represents an accurate, reliable, and efficient source of data for assessing risk. However, the separate and combined contributions of self- and study partner report, and the dynamic relationship between the two, remains unclear. The Subjective Cognitive Decline Professional Interest Area within the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment convened a working group focused on dyadic patterns of subjective report. Group members identified aspects of dyadic-report information important to the AD research field, gaps in knowledge, and recommendations. By reviewing existing data on this topic, we found evidence that dyadic measures are associated with objective measures of cognition and provide unique information in preclinical and prodromal AD about disease stage and progression and AD biomarker status. External factors including dyad (participant-study partner pair) relationship and sociocultural factors contribute to these associations. We recommend greater dyad report use in research settings to identify AD risk. Priority areas for future research include (1) elucidation of the contributions of demographic and sociocultural factors, dyad type, and dyad relationship to dyad report; (2) exploration of agreement and discordance between self- and study partner report across the AD syndromic and disease continuum; (3) identification of domains (e.g., memory, executive function, neuropsychiatric) that predict AD risk outcomes and differentiate cognitive impairment due to AD from other impairment; (4) development of best practices for study partner engagement; (5) exploration of study partner report as AD clinical trial endpoints; (6) continued development, validation, and optimization, of study partner report instruments tailored to the goals of the research and population.

Longitudinal Cohort Study of Verbatim-Reported Postural Instability Symptoms as Outcomes for Online Parkinson’s Disease Trials

Background: The Parkinson’s Disease Patient Report of Problems (PD-PROP) captures the problems and functional impact that patients report verbatim. Online research participation and advances in language analysis have enabled longitudinal collection and classification of symptoms as trial outcomes. Objective: Analyze verbatim reports longitudinally to examine postural-instability symptoms as 1) precursors of subsequent falling and 2) newly occurring symptoms that could serve as outcome measures in randomized controlled trials. Methods: Problems reported by >25,000 PD patients in their own words were collected online in the Fox Insight observational study and classified into symptoms by natural language processing, clinical curation, and machine learning. Symptoms of gait, balance, falling, and freezing and associated reports of having fallen in the last month were analyzed over three years of longitudinal observation by a Cox regression model in a cohort of 8,287 participants. New onset of gait, balance, falling, and freezing symptoms was analyzed by Kaplan-Meier survival techniques in 4,119 participants who had not previously reported these symptoms. Results: Classified verbatim symptoms of postural instability were significant precursors of subsequent falling among participants who were older, female, and had longer PD duration. New onset of symptoms steadily increased and informed sample size estimates for clinical trials to reduce the onset of these symptoms. Conclusion: The tools to analyze symptoms reported by PD patients in their own words and capacity to enroll large numbers of research participants online support the feasibility and statistical power for conducting randomized clinical trials to detect effects of therapeutic interventions.

Enrollment and retention of participants in remote digital health studies: a scoping review and framework proposal (Preprint)

Background

Objective

Methods

Results

Conclusions

The Disease Modification Conundrum in Parkinson’s Disease: Failures and Hopes

In the last half-century, Parkinson’s disease (PD) has played a historical role in demonstrating our ability to translate preclinical scientific advances in pathology and pharmacology into highly effective clinical therapies. Yet, as highly efficacious symptomatic treatments were successfully developed and adopted in clinical practice, PD remained a progressive disease without a cure. In contrast with the success story of symptomatic therapies, the lack of translation of disease-modifying interventions effective in preclinical models into clinical success has continued to accumulate failures in the past two decades. The ability to stop, prevent or mitigate progression in PD remains the “holy grail” in PD science at the present time. The large number of high-quality disease modification clinical trials in the past two decades with its lessons learned, as well as the growing knowledge of PD molecular pathology should enable us to have a deeper understanding of the reasons for past failures and what we need to do to reach better outcomes. Periodic reviews and mini-reviews of the unsolved disease modification conundrum in PD are important, considering how this field is rapidly evolving along with our views and understanding of the possible explanations.

Moving Forward from the COVID-19 Pandemic: Needed Changes in Movement Disorders Care and Research

Purpose of Review

The COVID-19 pandemic has dramatically affected the health and well-being of individuals with movement disorders. This manuscript reviews these effects, discusses pandemic-related changes in clinical care and research, and suggests improvements to care and research models.

Recent Findings

During the on-going COVID-19 pandemic, individuals with movement disorders have experienced worsening of symptoms, likely due to decreased access to care, loss of social connection, and decreased physical activity. Through telemedicine, care has moved out of the clinic and into the home. Clinical research has also been significantly disrupted, and there has been a shift to decentralized approaches. The pandemic has highlighted disparities in access to care and representation in research.

Summary

We must now translate these experiences into better care and research models with a focus on equitable integration of telemedicine, better support of patients and caregivers, the development of meaningful digital endpoints, and optimization of decentralized research designs.

Recruitment for Remote Decentralized Studies in Parkinson's Disease

Background:

Traditional in-person Parkinson’s disease (PD) research studies are often slow to recruit and place unnecessary burden on participants. The ongoing COVID-19 pandemic has added new impetus to the development of new research models.

Objective:

To compare recruitment processes and outcomes of three remote decentralized observational PD studies with video visits.

Methods:

We examined the number of participants recruited, speed of recruitment, geographic distribution of participants, and strategies used to enhance recruitment in FIVE, a cross-sectional study of Fox Insight participants with and without PD (n = 203); VALOR-PD, a longitudinal study of 23andMe, Inc. research participants carrying the LRRK2 G2019S variant with and without PD (n = 277); and AT-HOME PD, a longitudinal study of former phase III clinical trial participants with PD (n = 226).

Results:

Across the three studies, 706 participants from 45 U.S. states and Canada enrolled at a mean per study rate of 4.9 participants per week over an average of 51 weeks. The cohorts were demographically homogenous with regard to race (over 95%white) and level of education (over 90%with more than a high school education). The number of participants living in primary care Health Professional Shortage Areas in each study ranged from 30.3–42.9%. Participants reported interest in future observational (98.5–99.6%) and interventional (76.1–87.6%) research studies with remote video visits.

Conclusion:

Recruitment of large, geographically dispersed remote cohorts from a single location is feasible. Interest in participation in future remote decentralized PD studies is high. More work is needed to identify best practices for recruitment, particularly of diverse participants.

The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients

Gait analysis is crucial for the detection and management of various neurological and musculoskeletal disorders. The identification of gait events is valuable for enhancing gait analysis, developing accurate monitoring systems, and evaluating treatments for pathological gait. The aim of this work is to introduce the Smart-Insole Dataset to be used for the development and evaluation of computational methods focusing on gait analysis. Towards this objective, temporal and spatial characteristics of gait have been estimated as the first insight of pathology. The Smart-Insole dataset includes data derived from pressure sensor insoles, while 29 participants (healthy adults, elderly, Parkinson’s disease patients) performed two different sets of tests: The Walk Straight and Turn test, and a modified version of the Timed Up and Go test. A neurologist specialized in movement disorders evaluated the performance of the participants by rating four items of the MDS-Unified Parkinson’s Disease Rating Scale. The annotation of the dataset was performed by a team of experienced computer scientists, manually and using a gait event detection algorithm. The results evidence the discrimination between the different groups, and the verification of established assumptions regarding gait characteristics of the elderly and patients suffering from Parkinson’s disease.