Making an accurate diagnosis early enough is crucial for arthritis patients, but is a very difficult task for undifferentiated arthritis patients. RheumaKit addresses this complex issue.
RheumaKit is a set of tools for the management of patients with arthritis, enabling differential diagnosis with RheumaKit-Dx, patient monitoring and clinical studies management with RheumaKit-Timeline (for rheumatologist) and RheumaKit for Patients (mobile application), as well as treatment response prediction / theranosis with RheumaKit-Tx.
RheumaKit-Dx: Differential diagnosis
RheumaKit-Dx is a differential diagnosis tool for patients with undifferentiated arthritis. Its main benefits are to detect earlier patients with rheumatoid arthritis, so as to initiate their treatment as early as possible, and on the other hand, to avoid the initiation of a non-adequate treatment for other patients. RheumaKit-Dx combines very advanced technologies: a transcriptomic analysis from patient's synovial tissue performed in a central laboratory is combined to clinical information gathered by the clinician, and fed into a predictive model discriminating between Rheumatoid Arthritis, Osteoarthritis and Spondyloarthropathy.
RheumaKit-Dx also delivers a metabolic pathway analysis. This allows the rheumatologist learn more about a single patient metabolic activity, in specific pathways related to existing treatments or disease activity. These precious pieces of information may guide the establishment of a therapeutic strategy by the rheumatologist.
RheumaKit-Timeline Beta: Patient monitoring and clinical studies management
RheumaKit-Timeline allows the recording of a broad range of criteria and scores (diagnosis or disease activity) for each patient separately, nicely arranged in a timeline. Treatments informations are logged as well, for an objective, detailed and effective patient follow-up. Two examples are provided below. The first one shows a patient well under control with a working therapeutic strategy based on Methotrexate and Adalimumab, with decreasing levels of both DAS28-CRP and patient fatigue. A positive ACR/EULAR2010 score is visible early in the timeline.
The second example reports an objective detection of a patient for which the therapy initially based on Methotrexate and Adalimumab needs to be adapted. A second biological DMARD, Infliximab, is chosen, and does not seem to be a good choice either. Yet another month of follow-up should provide sufficient information for the clinician to change the biological DMARD yet another time.
Only a few metrics are reported in these two examples but many more are available. Some are public (i.e. do not require login or registration), as DAS28 (with or without CRP), CDAI, SDAI and HAQ-DI, or ACR/EULAR2010. Many more are accessible only after registration and login, as CRP, ACPA, AAN, HLA-B27, pain, fatigue, radiological involvment, and above all: treatment (initiation, modification, termination).
Another possible application of the tool is its use for the implementation of your own clinical study. The general-purpose « Follow-Up visit clinical record form » is available, from which most possible scores are automatically computed and recorded on the patient timeline!
RheumaKit-Timeline is in « Beta » version, meaning that it is still subject to evolution in the upcoming months. The good news is that RheumaKit Timeline Beta is at this stage accessible to any user, with or without having purchased RheumaKit-Dx kits!
RheumaKit for Patients: Patient self-reporting of disease activity
RheumaKit for Patient allows patients with rheumatic conditions to monitor their health status over time and to feed their clinician with the information they want, when and from where they want. Several conditions are covered, like rheumatoid arthritis, spondyloarthropathy, psoriatic arthritis, microcrystalline arthritis (gout), lupus (SLE), osteoarthritis, etc. The benefits for the patients are numerous, but mainly:
- reduce the frequency of visits to the rheumatologist (in agreement with the rheumatologist),
- detect earlier the failure/inefficacy of an ongoing treatment, and thus earlier adpatation of the therapeutic strategy.
This adds up naturally to the fact that the user has an objective idea of his/her status with respect to a rheumatic condition and its evolution over time, which in itself is a benefit. The app thus really allows to follow the "treat-to-target" trend. This mobile application can be connected to RheumaKit.com, a web platform for personalized medicine in Rheumatology to be used by the clinicians. Each clinician can store a much larger collection of information of interest regarding each patient. The types of information that can be managed by the clinicians are related to treatment, to diagnosis or to disease activity and can include biological and even genomic testing. Currently, the mobile application allows the follow-up of the user via three self-reported metrics: the simplified Health Assessment Questionaire (HAQ-DI), the Routine Assessment of Patient Index Data 3 (RAPID3), recommended by the American College of Rheumatology (ACR), and the Knee Injury and Osteoarthritis Outcome Score (KOOS). These three indices allow for the monitoring of the disease activity.
RheumaKit-Tx: Treatment response prediction / theranostic applications
The RheumaKit team is also currently developing tools for explicit treatment response prediction in the field of Rheumatoid Arthritis. At the same time, the tool can also be included in pharmaceutical or biotech companies clinical trials regarding biological DMARDs validation, nicely combined to the data mining expertise of DNAlytics, the developer of RheumaKit.
- RT @BioVoxBelgium: No more blindly picking treatment for #rheumatoidarthritis with early #diagnosis. @DNAlytics @BioWin_asbl @RheumaKit htt… Twitter 4 days ago
- Clinical study about Anti-TNF response prediction in #rheumatoidarthritis : https://t.co/AkEmOFSyha Twitter about 2 months ago
- 2600+ visits/m thanks to our 400+ professional users registered on https://t.co/w5DkojAAIC. #arthritis #RA #PrecisionMedicine #DataScience Twitter 2 months ago