Page 38 - Read Online
P. 38

Brooks et al. Rare Dis Orphan Drugs J 2024;3:15  https://dx.doi.org/10.20517/rdodj.2023.27  Page 9 of 14

               As a follow-up, RDCRN, via NCATS, participated in the ERICA 3rd General Assembly. The European Rare
               Disease Research Coordination and Support Action consortium (ERICA) is an organization in which all 24
               European Reference Networks (ERNs) participate. Such meetings provide opportunities to share knowledge
               with individual ERNs. Through knowledge sharing and engagement with stakeholders in the rare disease
               domain, the RDCRN and European investigators will continue to have follow-up conversations on topics of
               common interest.

               Medical cost of rare diseases
               Our mission of advancing rare diseases research cannot be met without an increased understanding of the
               patient journey within our healthcare systems (HCS). Due to the large number of individual rare diseases
               affecting a small patient population, fragmented across different healthcare systems, understanding the
               medical needs of patients is a difficult task. In 2021, NCATS, along with external collaborators (Eversana™,
               Oregon Health & Science University (OHSU), Sanford Health (Sanford), a large Midwestern integrated
               HCS, and a health insurer in Australia), set out to quantify rare disease prevalence and the direct medical
               costs of 14 representative rare diseases in 4 different HCS databases. This came to be known as the IDeaS
                                                                           [4]
               (Impact of Rare Diseases on Patients and Healthcare Systems) Initiative .

               The IDeaS pilot study found that (1) ICD coding makes it difficult to count RD patients, which likely results
               in inaccurate estimation of their true economic impact; (2) direct medical costs of rare diseases per patient
               were estimated to be three to five times higher than age-matched controls; and (3) preliminary evidence
               shows that diagnostic journeys are prolonged, which may result in progressive, irreversible, and costly
               disease complications. Yearly direct medical costs are estimated to be around $400 billion in the U.S., on par
               with cancer and heart disease expenditures. The results of this study suggest that RDs have a major impact
               on patients and our healthcare system.

               The legacy of the IDeaS study is the demonstration of the feasibility of gathering valuable information on
               the prevalence, cost, and natural history of rare diseases. Data science approaches in rare disease research
               face challenges, such as a general lack of individual diagnostic codes, thus leaving patients invisible to the
               healthcare system, fragmented care due to a lack of general knowledge about RDs, and individually small
               patient populations, decreasing statistical power for analyses. The results of this study suggest innovative
               AI/ML tools that take these challenges into account will be necessary to speed rare disease knowledge, time
               to diagnosis, and treatment.


               Thus, following the publication of the pilot study, NCATS DRDRI has allocated funding through a contract
               mechanism to further develop this methodology in a differing HCS context and a wider set of rare diseases.
               This next iteration of the IDeaS initiative intends to use the results of the initial pilot study to inform
               methods for clinical decision support tools to alert clinicians to possible cases of rare diseases. We hope to
               identify utilization patterns prior to accurate diagnosis and estimate costs of medical care during the
               diagnostic odyssey, with the larger goal of using this information to inform the development of approaches
               to diagnose and identify rare disease patients sooner, while improving overall patient care management.

               Clinical trial readiness, diagnostic odyssey, and scientific conference grants
               The clinical trial readiness (CTR) grants support projects focused on obtaining the data needed to enable
               efficient and effective movement of candidate therapeutics or diagnostics toward clinical trials, and to
               increase their likelihood of success by the development and testing of rigorous biomarkers and clinical
               outcome measures, or by better delineating the presentation and course of a rare disease to facilitate
               upcoming clinical trial design. Given that only a small percentage of the thousands of rare diseases have an
               approved therapy, the intent of this funding opportunity is to focus on projects that would help move more
   33   34   35   36   37   38   39   40   41   42   43