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临床试验/NCT04133285
NCT04133285招募中不适用

Registry of Multiple Osteochondromas That Collects Clinical, Functional, Genetic, Genealogical, Imaging, Surgical, Treatment, Quality of Life Data. Data is Linked to Patients' Biological Samples, When Available.

Luca Sangiorgi1 个研究点 分布在 1 个国家目标入组 10,000 人开始时间: 2013年6月28日最近更新:

试验速览

阶段
不适用
状态
招募中
入组人数
10,000
试验地点
1
主要终点
Natural History and Epidemiology in terms of clinical, genetic and functional evaluation

研究概览

简要总结

REM 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 sources evaluating several aspects of diseases and to correlate genetic background and phenotypic outcomes, in order to better investigate disease 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.

详细描述

The traditional method of collecting patient information is often chaotic, inconvenient, and sometimes even unsafe, particularly when dealing with rare diseases. In 2013, 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 Multiple Osteochondromas (REM).

The REM relies on an IT platform named Genotype-phenotype Data Integration platform - GeDI. This solution was developed through a collaboration between Rare Skeletal Disease Department and a local software company (Dilaxia S.p.A.) and is General Data Protection Regulation (GDPR)-compliant, multi-client and web-accessible. It has been designed according to current medical informatics standards, including the Orphanet code, the International Classification of Diseases (ICD), and the Human Genome Variants Society, aiming to follow Findability, Accessibility, Interoperability, Reusability (FAIR) principles. GeDI is continuously being implemented to improve the management of people with Multiple Osteochondromas and to assist researchers in analyzing the information collected. REM is divided into the following 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 of Multiple Osteochondromas 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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Other

入排标准

性别
All
接受健康志愿者

入选标准

  • All Multiple Osteochondromas patients, including prenatal diagnosis of Multiple Osteochondromas

排除标准

  • Any condition unrelated to Multiple Osteochondromas

结局指标

主要结局

Natural History and Epidemiology in terms of clinical, genetic and functional evaluation

时间窗: 25 years

To maintain an established registry in order to assess epidemiology and natural history. Collection of: 1. physical examinations data: assessment of severity of the disease (according to Mordenti et al classification) 2. orthopedic and functional data: stature (cm), weight (kg), number and localization of sites affected, site of malignant transformation, definition of deformities (localization and number), definition of limitations (localization and number) 3. surgical procedures: type, number and site of surgeries disease-related and age at surgeries 4. genetics background: target gene, type of mutation, type of variant detected, clinical significance 5. family history: inheritance 6. treatment information: pharmacological, devices, supplements, and other treatments All the features are updated at each follow up. Clinical reports, medical charts, genetic report and imaging are the primary sources of data

次要结局

  • Genotype-Phenotype Correlation among clinical features and molecular background(25 years)

研究者

申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Luca Sangiorgi

Head of Department of Rare Skeletal Disorders

Istituto Ortopedico Rizzoli

研究点 (1)

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