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About
RD-DATA is a retrospective and prospective data collection, finalized for care and research purposes. It is articulated in main sections - strongly related and mutually dependent on each other - corresponding to different data domains: personal information, clinical data, genetic data, genealogical data, surgeries, etc.
This approach has been developed to corroborate and integrate data from different sources and evaluating several aspects of the diseases and to correlate genetic background and phenotypic outcomes, in order to better investigate diseases pathophysiology. Due to legal requirements, institutional directives and organizational issues, we are unable to include individuals residing outside Italy in the registry at this time. We are currently engaged in the preparation of a recruitment process for individuals residing outside Italy.
Full description
The traditional method of collecting patient information is frequently chaotic, inconvenient and sometimes even unsafe, particularly when dealing with rare diseases. In 2020, the need to simplify the diagnostic process and to overcome the difficulties of data storage and analysis, led to the suggestion of implementing the Data Collection of Patients With Rare Bone Diseases - RD-DATA.
The RD-DATA relies on an IT platform named Genotype-phenotype Data Integration platform (GeDI).This solution, realized by a collaboration among Rare Skeletal Disorders Department and a local software-house (Dilaxia Spa) is a General Data Protection Regulation (GDPR)-compliant, multi-client, web-accessible system and it has been designed according to current medical informatics standards (Orphanet code, ICD-10 (International Disease Classification), Human Genome Variants Society). GeDI is continuously implemented to improve management of persons with rare conditions with predominantly skeletal involvement and to help researchers in analysing collected information. RD-DATA is articulated in main sections:
Personal data: it comprises general information, birth details and residence data; Patient data: including the patients internal code, the hospital code and other details on patients; Diagnostic Process: the diagnosis, the status (affected, suspected, etc.), age at diagnosis, comorbidities, allergies, etc.; Genogram: a tool for designing family transmission of the disease, alongside information on the diseases status of all relatives included.
Clinical events: it records a long list of signs and symptoms as well as several additional items to describe the disease Genetic Analysis and Alteration: including technique, sample information, analysis duration, etc. In addition, this section comprises detailed information on detected pathological variants (gene, international reference, DNA change, Protein change, genomic position, etc.).
Visits: it includes the typology of the visit (genetic, orthopedic, rehabilitation, pediatric, etc.), the date of the visit, treatment, prescription, imaging, etc.
Treatments: this section comprises information of a wide range of treatments including pharmacological, devices, supplements, and other treatments such as psychological, nutritional, etc.; Documents: this repository allow us to store all types of documents (radiological reports, imaging, consents, clinical reports, etc.); Consents: this section provides a comprehensive overview of all consents collected, including the collection date; Samples: this section includes information on the samples, like the type, date of collection, etc.; PROs: this section collects information on patients reported outcomes such as the quality of life or ABC scale.
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Exclusion criteria
1,000 participants in 1 patient group
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Central trial contact
Marcella Lanza, PhD; Marina Mordenti, PhD
Data sourced from clinicaltrials.gov
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