Dataset Information

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

ABSTRACT:

Objective

The expanding power and accessibility of personal technology provide an opportunity to reduce burdens and costs of traditional clinical site-centric therapeutic trials in Parkinson's disease and generate novel insights. The value of this approach has never been more evident than during the current COVID-19 pandemic. We sought to (1) establish and implement the infrastructure for longitudinal, virtual follow-up of clinical trial participants, (2) compare changes in smartphone-based assessments, online patient-reported outcomes, and remote expert assessments, and (3) explore novel digital markers of Parkinson's disease disability and progression.

Methods

Participants from two recently completed phase III clinical trials of inosine and isradipine enrolled in Assessing Tele-Health Outcomes in Multiyear Extensions of Parkinson's Disease trials (AT-HOME PD), a two-year virtual cohort study. After providing electronic informed consent, individuals complete annual video visits with a movement disorder specialist, smartphone-based assessments of motor function and socialization, and patient-reported outcomes online.

Results

From the two clinical trials, 226 individuals from 42 states in the United States and Canada enrolled. Of these, 181 (80%) have successfully downloaded the study's smartphone application and 161 (71%) have completed patient-reported outcomes on the online platform.

Interpretation

It is feasible to conduct a large-scale, international virtual observational study following the completion of participation in brick-and-mortar clinical trials in Parkinson's disease. This study, which brings research to participants, will compare established clinical endpoints with novel digital biomarkers and thereby inform the longitudinal follow-up of clinical trial participants and design of future clinical trials.

SUBMITTER: Schneider RB

PROVIDER: S-EPMC7886038 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Publications

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

Schneider Ruth B RB Omberg Larsson L Macklin Eric A EA Daeschler Margaret M Bataille Lauren L Anthwal Shalini S Myers Taylor L TL Baloga Elizabeth E Duquette Sidney S Snyder Phil P Amodeo Katherine K Tarolli Christopher G CG Adams Jamie L JL Callahan Katherine F KF Gottesman Joshua J Kopil Catherine M CM Lungu Codrin C Ascherio Alberto A Beck James C JC Biglan Kevin K Espay Alberto J AJ Tanner Caroline C Oakes David D Shoulson Ira I Novak Dan D Kayson Elise E Ray Dorsey Earl E Mangravite Lara L Schwarzschild Michael A MA Simuni Tanya T

Annals of clinical and translational neurology 20201222 2

<h4>Objective</h4>The expanding power and accessibility of personal technology provide an opportunity to reduce burdens and costs of traditional clinical site-centric therapeutic trials in Parkinson's disease and generate novel insights. The value of this approach has never been more evident than during the current COVID-19 pandemic. We sought to (1) establish and implement the infrastructure for longitudinal, virtual follow-up of clinical trial participants, (2) compare changes in smartphone-ba ...[more]

PMID: 33350601

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Project description:BackgroundIndividuals with advanced Parkinson's Disease (PD) and Parkinson-related disorders (PRD) are frequently referred for home allied therapies and nursing care, yet home healthcare professionals have limited training in PD/PRD. While recognizing the need for such care, patients and families report home healthcare professionals are unfamiliar with these conditions, which may be driven by neurophobia and may contribute to suboptimal care and early termination of services. We sought to determine the feasibility and effects of a virtual, multimodal educational intervention on PD knowledge, confidence, and empathy among home health professionals.MethodsHome health nurses, occupational therapists, physical therapists and physical therapy assistants, and speech-language pathologists participated in a daylong, virtual symposium on advanced PD/PRD, combining focused lectures, discipline-specific breakout sessions, immersive virtual reality vignettes, and interactive panels with both patients and families, and movement disorders and home healthcare experts. Participants completed online pre- and post-symposium surveys including: demographics; PD/PRD knowledge (0-10 points possible); empathy (Interpersonal Reactivity Index); and 10-point scales of confidence with and attitudes towards individuals with PD/PRD, respectively. Pre-post intervention changes and effect sizes were evaluated with paired t-tests and Cohen's d. We performed qualitative analyses of post-symposium free-text feedback using a grounded theory approach to identify participants' intentions to change their practice.ResultsParticipants had a mean improvement of 3.1 points on the PD/PRD knowledge test (p < 0.001, d = 1.97), and improvement in confidence managing individuals with PD/PRD (p = 0.0003, d = .36), and no change in empathy. The interactive, virtual format was rated as effective by 95%. Common themes regarding symposium-motivated practice change included: interdisciplinary collaboration; greater involvement and weighting of the patient and caregiver voice in care plans; attention to visit scheduling in relation to patient function; recognition and practical management of the causes of sudden change in PD/PRD, including infections and orthostatic hypotension.ConclusionsA virtual, multimodal, brief educational pilot intervention improved PD/PRD-specific knowledge and confidence among home healthcare nurses and allied health professionals. Future studies are necessary to test the short- and long-term effects of this intervention more broadly and to investigate the impact of this education on patient and caregiver outcomes.

Project description:Mild cognitive impairment in Parkinson's disease is associated with progression to dementia (Parkinson's disease dementia) in a majority of patients. Determining structural imaging biomarkers associated with prodromal Parkinson's disease dementia may allow for the earlier identification of those at risk, and allow for targeted disease modifying therapies. One hundred and five non-demented subjects with newly diagnosed idiopathic Parkinson's disease and 37 healthy matched controls had serial 3 T structural magnetic resonance imaging scans with clinical and neuropsychological assessments at baseline, which were repeated after 18 months. The Movement Disorder Society Task Force criteria were used to classify the Parkinson's disease subjects into Parkinson's disease with mild cognitive impairment (n = 39) and Parkinson's disease with no cognitive impairment (n = 66). Freesurfer image processing software was used to measure cortical thickness and subcortical volumes at baseline and follow-up. We compared regional percentage change of cortical thinning and subcortical atrophy over 18 months. At baseline, cases with Parkinson's disease with mild cognitive impairment demonstrated widespread cortical thinning relative to controls and atrophy of the nucleus accumbens compared to both controls and subjects with Parkinson's disease with no cognitive impairment. Regional cortical thickness at baseline was correlated with global cognition in the combined Parkinson's disease cohort. Over 18 months, patients with Parkinson's disease with mild cognitive impairment demonstrated more severe cortical thinning in frontal and temporo-parietal cortices, including hippocampal atrophy, relative to those with Parkinson's disease and no cognitive impairment and healthy controls, whereas subjects with Parkinson's disease and no cognitive impairment showed more severe frontal cortical thinning compared to healthy controls. At baseline, Parkinson's disease with no cognitive impairment converters showed bilateral temporal cortex thinning relative to the Parkinson's disease with no cognitive impairment stable subjects. Although loss of both cortical and subcortical volume occurs in non-demented Parkinson's disease, our longitudinal analyses revealed that Parkinson's disease with mild cognitive impairment shows more extensive atrophy and greater percentage of cortical thinning compared to Parkinson's disease with no cognitive impairment. In particular, an extension of cortical thinning in the temporo-parietal regions in addition to frontal atrophy could be a biomarker in therapeutic studies of mild cognitive impairment in Parkinson's disease for progression towards dementia.

Project description:Background: Different factors influence severity, progression, and outcomes in Parkinson's disease (PD). Lack of standardized clinical assessment limits comparison of outcomes and availability of well-characterized cohorts for collaborative studies. Methods: Structured clinical documentation support (SCDS) was developed within the DNA Predictions to Improve Neurological Health (DodoNA) project to standardize clinical assessment and identify molecular predictors of disease progression. The Longitudinal Clinical and Genetic Study of Parkinson's Disease (LONG-PD) was launched within the Genetic Epidemiology of Parkinson's disease (GEoPD) consortium using a Research Electronic Data Capture (REDCap) format mirroring the DodoNA SCDS. Demographics, education, exposures, age at onset (AAO), Unified Parkinson's Disease Rating Scale (UPDRS) parts I-VI or Movement Disorders Society (MDS)-UPDRS, Montreal Cognitive Assessment (MoCA)/Short Test of Mental Status (STMS)/Mini Mental State Examination (MMSE), Geriatric Depression Scale (GDS), Epworth Sleepiness Scale (ESS), dopaminergic therapy, family history, nursing home placement, death and blood samples were collected. DodoNA participants (396) with 6 years of follow-up and 346 LONG-PD participants with up to 3 years of follow-up were analyzed using group-based trajectory modeling (GBTM) focused on: AAO, education, family history, MMSE/MoCA/STMS, UPDRS II-II, UPDRS-III tremor and bradykinesia sub-scores, Hoehn and Yahr staging (H&Y) stage, disease subtype, dopaminergic therapy, and presence of autonomic symptoms. The analysis was performed with either cohort as the training/test set. Results: Patients are classified into slowly and rapidly progressing courses by AAO, MMSE score, H &Y stage, UPDRS-III tremor and bradykinesia sub-scores relatively early in the disease course. Late AAO and male sex assigned patients to the rapidly progressing group, whereas tremor to the slower progressing group. Classification is independent of which cohort serves as the training set. Frequencies of disease-causing variants in LRRK2 and GBA were 1.89 and 2.96%, respectively. Conclusions: Standardized clinical assessment provides accurate phenotypic characterization in pragmatic clinical settings. Trajectory analysis identified two different trajectories of disease progression and determinants of classification. Accurate phenotypic characterization is essential in interpreting genomic information that is generated within consortia, such as the GEoPD, formed to understand the genetic epidemiology of PD. Furthermore, the LONGPD study protocol has served as the prototype for collecting standardized phenotypic information at GEoPD sites. With genomic analysis, this will elucidate disease etiology and lead to targeted therapies that can improve disease outcomes.

Project description:BackgroundTraditional performance-based measurements of mobility fail to recognize the interaction between the individual and their environment. Life-space (LS) forms a central element in the broader context of mobility and has received growing attention in gerontology. Still, knowledge on LS in the nursing home (NH) remains sparse. The aim of this study was to identify LS trajectories in people with dementia from time of NH admission, and explore characteristics associated with LS over time.MethodsIn total, 583 people with dementia were included at NH admission and assessed biannually for 3 years. LS was assessed using the Nursing Home Life-Space Diameter. Association with individual (age, sex, general medical health, number of medications, pain, physical performance, dementia severity, and neuropsychiatric symptoms) and environmental (staff-to-resident ratio, unit size, and quality of the physical environment) characterises was assessed. We used a growth mixture model to identify LS trajectories and linear mixed model was used to explore characteristics associated with LS over time.ResultsWe identified four groups of residents with distinct LS trajectories, labelled Group 1 (n = 19, 3.5%), Group 2 (n = 390, 72.1%), Group 3 (n = 56, 10.4%), Group 4 (n = 76, 14.0%). Being younger, having good compared to poor general medical health, less severe dementia, more agitation, less apathy, better physical performance and living in a smaller unit were associated with a wider LS throughout the study period.ConclusionFrom NH admission most NH residents' LS trajectory remained stable (Group 2), and their daily lives unfolded within their unit. Better physical performance and less apathy emerged as potentially modifiable characteristics associated with wider LS over time. Future studies are encouraged to determine whether LS trajectories in NH residents are modifiable, and we suggest that future research further explore the impact of environmental characteristics.

Dataset Information

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

Objective

Methods

Results

Interpretation

Publications

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

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