Registry of Li Fraumeni and Li Fraumeni Like Syndromes

Overview

ReLF is a retrospective and prospective registry, 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 resources and 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.

The traditional method of collecting patient information is often 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 Registry of Li Fraumeni and Li Fraumeni Like syndromes (ReLF). The ReLF relies on an IT Platform named GeDI (Genotype-phenotype Data Integration platform). This solution, realized by a collaboration among Department of Rare Skeletal Disorders and a local software-house (Dilaxia Spa), is a GDPR-compliant, multi-client, web-accessible system and it has been designed according to current medical informatics standards (Orphacode, ICD-10, Human Genome Variants Society, Findability Accessibility Interoperability Reusability -FAIR- Principles). GeDI is continuously implemented to improve management of persons with Li Fraumeni and Li Fraumeni Like Syndromes and to help researchers in analyzing collected information. ReLF 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 patient details; * Diagnostic Process: the diagnosis, the status (affected, suspected, etc.), age at diagnosis, comorbidities, allergies, etc.; * Genogram: a tool for designing the family transmission of the disease, alongside information on the disease 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 analytical technique, sample information, analysis duration, etc. This section also comprises detailed information on any detected pathological variants (e.g. gene, international reference, DNA change, protein change, genomic position, etc.); * Visits: this section includes visit type (genetic, orthopedic, rehabilitation, pediatric, etc.), the date of the visit, prescriptions, 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.; * Surgeries: this section contains information on the type of surgeries, the age of the patients, the site/localization of the procedures, 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.