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Smart Marker Annunciating Response to Rheumatologic Treatments SMART²T

Smart Marker Annunciating Response to Rheumatologic Treatments SMART²T

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04749160
Acronym
SMART²T
Enrollment
26
Registered
2021-02-11
Start date
2021-06-04
Completion date
2022-02-20
Last updated
2024-01-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Rheumatoid Arthritis

Keywords

Rheumatoid arthritis (RA), synthetic disease modifying antirheumatic drug (csDMARD), biologic disease modifying antirheumatic drug (bDMARD), Machine Learning

Brief summary

European recommendations indicate to start a conventional synthetic disease modifying antirheumatic drug (csDMARD) as soon as possible to reach the remission in early RA or low disease activity in established RA. If the target is not achieved with the first csDMARD and in presence of poor prognostic, addition of a biologic (b)DMARD or a targeted synthetic (ts)DMARD should be considered . Nevertheless, as many as one-third of patients have persistent disease activity and insufficient (inadequate) response to a first b/tsDMARD according to international recommendations. This relatively long time (3 to 6 months) between treatment initiation and determination of individual clinical response represents: * a risk for the patient who could be usually exposed to potential side effects, * a loss of chance for the patient who will not receive an adequate treatment during the most favorable period and thus may develop irreversible lesions * a cost for the healthcare system, especially in terms of expensive drug reimbursements, notwithstanding the increasing use of biosimilars. Despite 20 years of research, no biomarker or no way are available in the daily practice to predict disease activity and the non-response to a b/tDMARD \[11\]. Thus exploration of a new approach is totally in purpose. The aim of this project is to benefit from the declarative PRO (Patient Reported Outcomes), the physical activity and sleep quality to predict the individual clinical response to the b/tsDMARDs

Interventions

Connected device is a smart watch (with accelerometer without location data).

Sponsors

Centre Hospitalier Universitaire de Saint Etienne
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Social security affiliation * Signed informed consent * Adult patient (over 18 years old) * RA according to ACR/EULAR 2010 criteria since less than 6 months * DAS28 ≥ 3.2 despite methotrexate therapy and initiating for the first time a bDMARD or a tsDMARD * Having an internet access at home and using an email address

Exclusion criteria

* Other arthritis than RA * To participate to a blind-randomized study to assess RA treatment * Pregnancy or breastfeeding * Patient unable to understand the study, unable to give consent * Patient deprived of liberty or patient under guardianship * Patient refusing to participate in the study * Patients having difficulty using connected objects

Design outcomes

Primary

MeasureTime frameDescription
physical activities3 monthsPhysical activities including number of steps per day and per hour. Physical activities are measured with a smart watch (with accelerometer without location data)
physical activities and sleep quality3 monthssleep quality data including time of sleeping (number of hours). sleep quality is measured with a smart watch (with accelerometer without location data)
Rapid-3 score3 monthsRoutine Assessment of Patient Index Data (Rapid-3) score is a self-administered score demonstrated capacity to capture Rheumatoid arthritis activity (score : 0,0 to 30,0). Remission : score 0- 3,0 Low Disease Activity : score 3,1- 6,0 Moderate Disease Activity : score 6,1 - 12,0 High Disease Activity : score 12,1 - 30

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026