Dataset Information

Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

ABSTRACT: Background:Digital biomarkers that measure physical activity and mobility are of great interest in the assessment of chronic diseases such as rheumatoid arthritis, as it provides insights on patients' quality of life that can be reliably compared across a whole population. Objective:To investigate the feasibility of analyzing iPhone sensor data collected remotely by means of a mobile software application in order to derive meaningful information on functional ability in rheumatoid arthritis patients. Methods:Two objective, active tasks were made available to the study participants: a wrist joint motion test and a walk test, both performed remotely and without any medical supervision. During these tasks, gyroscope and accelerometer time-series data were captured. Processing schemes were developed using machine learning techniques such as logistic regression as well as explicitly programmed algorithms to assess data quality in both tasks. Motion-specific features including wrist joint range of motion (ROM) in flexion-extension (for the wrist motion test) and gait parameters (for the walk test) were extracted from high quality data and compared with subjective pain and mobility parameters, separately captured via the application. Results:Out of 646 wrist joint motion samples collected, 289 (45%) were high quality. Data collected for the walk test included 2,583 samples (through 867 executions of the test) from which 651 (25%) were high quality. Further analysis of high-quality data highlighted links between reduced mobility and increased symptom severity. ANOVA testing showed statistically significant differences in wrist joint ROM between groups with light-moderate (220 participants) versus severe (36 participants) wrist pain (p < 0.001) as well as in average step times between groups with slight versus moderate problems walking about (p < 0.03). Conclusion:These findings demonstrate the potential to capture and quantify meaningful objective clinical information remotely using iPhone sensors and represent an early step towards the development of patient-centric digital endpoints for clinical trials in rheumatoid arthritis.

SUBMITTER: Hamy V

PROVIDER: S-EPMC7250400 | biostudies-literature | 2020 Jan-Apr

REPOSITORIES: biostudies-literature

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Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

Hamy Valentin V Garcia-Gancedo Luis L Pollard Andrew A Myatt Anniek A Liu Jingshu J Howland Andrew A Beineke Philip P Quattrocchi Emilia E Williams Rachel R Crouthamel Michelle M

Digital biomarkers 20200101 1

<h4>Background</h4>Digital biomarkers that measure physical activity and mobility are of great interest in the assessment of chronic diseases such as rheumatoid arthritis, as it provides insights on patients' quality of life that can be reliably compared across a whole population.<h4>Objective</h4>To investigate the feasibility of analyzing iPhone sensor data collected remotely by means of a mobile software application in order to derive meaningful information on functional ability in rheumatoid ...[more]

PMID: 32510034

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Project description:ObjectiveIn patients with rheumatoid arthritis (RA), the relation between fatigue and disease activity is not established, and our objective was to explore in post hoc analyses the associations between fatigue and subjective as well as objective assessments of inflammation during follow-up of patients with RA initiating biologic treatment.MethodsIn a Nordic multicenter study, patients with RA starting tocilizumab were examined for fatigue (Functional Assessment of Chronic Illness Therapy-Fatigue sum score) as well as patient-reported outcome measures (PROMs) (patient's global disease activity, joint pain, and Health Assessment Questionnaire Disability Index), clinical examinations (examiner's global disease activity, 28 tender/swollen joint counts), laboratory variables (erythrocyte sedimentation rate, C-reactive protein), and ultrasound assessments (semiquantitative scoring [0-3]) of gray scale and Doppler of 36 joints and 4 tendons) at baseline and 4, 12, and 24 weeks. The associations were explored by using nonparametric tests, including the Wilcoxon rank test, the Mann-Whitney U test, Spearman correlations, and a linear regression and linear mixed model.ResultsOne hundred ten patients were included (83% female, mean [SD] age 55.6 [12.1] years, mean [SD] RA duration 8.7 [9.5] years, 81% anti-cyclic citrullinated peptide positive). Fatigue, PROMs, and clinical, laboratory, and ultrasound variables all decreased significantly during follow-up, already at 4 weeks (P < 0.001). Fatigue was both cross-sectionally and longitudinally associated with PROMs, whereas there were no or low associations with clinical, laboratory, or ultrasound assessments of inflammation. Baseline fatigue was predictive of PROMs at 12 and 24 weeks (P < 0.05 and P < 0.001, respectively) but not of any objective assessments.ConclusionFatigue was primarily associated with subjective assessments of disease activity. Thus, the present study supports fatigue to reflect other aspects of RA disease activity than inflammation.

Project description:Background/Purpose: Prior studies show an independent association between greater physical activity and lower inflammatory markers among adults in the general population, but the impact of physical activity on systemic inflammation in people with rheumatoid arthritis (RA) hasn’t been thoroughly investigated. We therefore aimed to determine whether physical activity behavior associates with differential expression of inflammatory genes in RA. Methods: Data derive from baseline assessments for a prospective observational cohort of patients with RA. At each study visit, we obtained detailed clinical information, collected peripheral whole blood for subsequent RNA sequencing (RNA-seq), and provided participants with actigraphs (GT9X ActiGraph Link device) to objectively measure physical activity by wearing the device at home for 7 consecutive 24-hour periods. Participants were categorized into three physical activity groups based on the highest (“active”), middle (“intermediate”), and lowest (“inactive”) tertiles for percentage of time spent in moderate/vigorous physical activity (metabolic equivalent (MET) level ≥2.00) across the sample. Results: There were 35 patients with complete clinical, actigraphy, and transcriptomic data available for analysis. The participants had a mean age of 56 years, were 90% female, and self-reported the following racial/ethnic identities: 32% white, 11% African American, 8% Asian, 40% Hispanic. Participants spent 48%, 41%, and 12% of time awake in sedentary, light, and moderate physical activity, respectively. None of the participants achieved vigorous activity. The patients in the most active group were younger but did not otherwise significantly differ by clinical and demographic characteristics compared to the other physical activity groups. However, in the differential gene expression analysis comparing the highest versus lowest physical activity tertiles, there were 365 up- and 402 down-regulated genes at an adjusted P value < 0.1. Gene set enrichment analysis revealed that the most physically active patients exhibited downregulation of diverse innate and adaptive immune signaling pathways. Assessment of upstream cytokine activation states demonstrated inhibition of type I, II and III interferons and activation of EPO in the highest physical activity tertile patients. Conclusion: Among a racially and ethnically diverse RA cohort, participants who spent more time in moderately intense physical activity had down-regulation of genes involved in both innate and adaptive immune signaling compared to those who were more sedentary. These findings provide mechanistic evidence to support a disease-modifying effect of physical activity in RA.

Dataset Information

Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

Publications

Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study.

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