Registry of Multiple Osteonchodromas

Multiple Osteochondroma Clinical Trial

— REM  

Official title:

Registry of Multiple Osteochondromas That Collects Clinical, Functional, Genetic, Genealogical, Imaging, Surgical, Quality of Life Data. Data Are Linked to Patients Biological Sample

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04133285
• Other study ID #: 21629/2013
• Status: Recruiting
• Start date: June 28, 2013
• Est. completion date: December 2032

Study information

• Verified date: May 2024
• Source: Istituto Ortopedico Rizzoli
• Contact: Marina Mordenti, PhD
• Phone: +39 05 6366062
• Email: marina.mordenti[@]ior.it
• Is FDA regulated: No
• Study type: Observational [Patient Registry]

Clinical Trial Summary

REM is a retrospective and prospective registry, finalized to care and research. 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 individuated in order 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.

Description:

The common way to collect patient information is frequently chaotic and inconvenient (sometimes even unsafe), particularly when dealing with rare diseases. The need to simplify the diagnostic process and to overcome the difficulties of data storage and analysis, suggested in 2013 to implement the Registry of Multiple Osteochondromas (REM). The REM relies on an IT Platform named Genotype-phenotype Data Integration platform -GeDI.This solution, realized by a collaboration among Medical Genetic Department and a local software-house (NSI - Nier IT Solution), 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, Human Genome Variants Society, Findability Accessibility Interoperability Reusability Principles). GeDI is continuously implemented to improve management of persons with Multiple Osteochodromas and to help researchers in analysing collected information. REM 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 - Diagnosis: the diagnosis, the status (affected, suspect, etc.), age at diagnosis, comorbidities, allergies, etc. - Genogram: a tool to design family transmission of the disease, flanked by info on diseases status of all included relatives - Clinical events: records more than 20 signs and symptoms of Multiple Osteochondromas and 12 additional items to describe the disease - Genetic Analysis and Alteration: including technique, sample information, duration of analysis, 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, orthopaedic, rehabilitation, paediatric, etc.), the date of the visit, treatment, prescription, imaging, etc. - Surgeries: this section contains information on the surgeries type, the age of the patients, the site/localization of the procedures, etc. - Documents: this repository is allowed to store all type of documents (radiological reports, imaging, consents, clinical reports, etc.) - Consents: this section comprises a complete overview of all collected consents, including the date of collection. - Samples: it comprises the type of samples (DNA, tissue, whole peripheral blood, etc.)

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 10000
• Est. completion date: December 2032
• Est. primary completion date: July 2018
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

• Any condition unrelated to Multiple Osteochondromas

Related Conditions & MeSH terms

• Exostoses, Multiple Hereditary
• Multiple Osteochondroma

Locations

Country	Name	City	State
Italy	Irccs Istituto Ortopedico Rizzoli	Bologna	Emilia Romagna

Sponsors (1)

Lead Sponsor	Collaborator
Luca Sangiorgi

Country where clinical trial is conducted

Italy, 

References & Publications (13)

Cacciari E, Milani S, Balsamo A, Dammacco F, De Luca F, Chiarelli F, Pasquino AM, Tonini G, Vanelli M. Italian cross-sectional growth charts for height, weight and BMI (6-20 y). Eur J Clin Nutr. 2002 Feb;56(2):171-80. doi: 10.1038/sj.ejcn.1601314. — View Citation

Cacciari E, Milani S, Balsamo A, Spada E, Bona G, Cavallo L, Cerutti F, Gargantini L, Greggio N, Tonini G, Cicognani A. Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr). J Endocrinol Invest. 2006 Jul-Aug;29(7):581-93. doi: 10.1007/BF03344156. — View Citation

D'Ambrosi R, Ragone V, Caldarini C, Serra N, Usuelli FG, Facchini RM. The impact of hereditary multiple exostoses on quality of life, satisfaction, global health status, and pain. Arch Orthop Trauma Surg. 2017 Feb;137(2):209-215. doi: 10.1007/s00402-016-2608-4. Epub 2016 Dec 8. — View Citation

Darilek S, Wicklund C, Novy D, Scott A, Gambello M, Johnston D, Hecht J. Hereditary multiple exostosis and pain. J Pediatr Orthop. 2005 May-Jun;25(3):369-76. doi: 10.1097/01.bpo.0000150813.18673.ad. — View Citation

Goud AL, de Lange J, Scholtes VA, Bulstra SK, Ham SJ. Pain, physical and social functioning, and quality of life in individuals with multiple hereditary exostoses in The Netherlands: a national cohort study. J Bone Joint Surg Am. 2012 Jun 6;94(11):1013-20. doi: 10.2106/JBJS.K.00406. — View Citation

Mordenti M, Ferrari E, Pedrini E, Fabbri N, Campanacci L, Muselli M, Sangiorgi L. Validation of a new multiple osteochondromas classification through Switching Neural Networks. Am J Med Genet A. 2013 Mar;161A(3):556-60. doi: 10.1002/ajmg.a.35819. Epub 2013 Feb 8. — View Citation

Pacifici M. Hereditary Multiple Exostoses: New Insights into Pathogenesis, Clinical Complications, and Potential Treatments. Curr Osteoporos Rep. 2017 Jun;15(3):142-152. doi: 10.1007/s11914-017-0355-2. — View Citation

Pedrini E, Jennes I, Tremosini M, Milanesi A, Mordenti M, Parra A, Sgariglia F, Zuntini M, Campanacci L, Fabbri N, Pignotti E, Wuyts W, Sangiorgi L. Genotype-phenotype correlation study in 529 patients with multiple hereditary exostoses: identification of "protective" and "risk" factors. J Bone Joint Surg Am. 2011 Dec 21;93(24):2294-302. doi: 10.2106/JBJS.J.00949. — View Citation

Porter DE, Lonie L, Fraser M, Dobson-Stone C, Porter JR, Monaco AP, Simpson AH. Severity of disease and risk of malignant change in hereditary multiple exostoses. A genotype-phenotype study. J Bone Joint Surg Br. 2004 Sep;86(7):1041-6. doi: 10.1302/0301-620x.86b7.14815. — View Citation

Schmale GA, Conrad EU 3rd, Raskind WH. The natural history of hereditary multiple exostoses. J Bone Joint Surg Am. 1994 Jul;76(7):986-92. doi: 10.2106/00004623-199407000-00005. — View Citation

Vink GR, White SJ, Gabelic S, Hogendoorn PC, Breuning MH, Bakker E. Mutation screening of EXT1 and EXT2 by direct sequence analysis and MLPA in patients with multiple osteochondromas: splice site mutations and exonic deletions account for more than half of the mutations. Eur J Hum Genet. 2005 Apr;13(4):470-4. doi: 10.1038/sj.ejhg.5201343. — View Citation

White SJ, Vink GR, Kriek M, Wuyts W, Schouten J, Bakker B, Breuning MH, den Dunnen JT. Two-color multiplex ligation-dependent probe amplification: detecting genomic rearrangements in hereditary multiple exostoses. Hum Mutat. 2004 Jul;24(1):86-92. doi: 10.1002/humu.20054. — View Citation

Wuyts W, Van Hul W. Molecular basis of multiple exostoses: mutations in the EXT1 and EXT2 genes. Hum Mutat. 2000;15(3):220-7. doi: 10.1002/(SICI)1098-1004(200003)15:33.0.CO;2-K. — View Citation

* Note: There are 13 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Other	Longitudinal study of disease evolution (including prospective and retrospective data)	This outcome aims to investigate the evolution of Multiple Osteochondromas during time. This will be evaluated within the families and among the families.; Main clinical features, such as height (cm), number and localization of osteochondromas, number and localization of deformities, number and localization of limitations will be collected both retrospectively and prospectively for paediatric population. An evaluation of these parameters will be performed at each visit to keep trace on the progression of the clinical manifestations.; In adult population, the disease evolution is centered on malignant transformation.	25 years
Primary	Natural History and Epidemiology in terms of clinical, genetic and functional evaluation	To maintain an established registry in order to assess epidemiology and natural history (such as incidence, prevalence, etc.) of Multiple Osteochondromas.; Collection of: physical examinations data: assessment of severity of the disease (defined according to Mordenti et al classification); orthopaedic and functional data: stature (cm), weight (kg), number and localization of sites affected by osteochondromas, site of malignant transformation, definition of deformities (localization and number), definition of limitations (localization and number); surgical procedures: type, number and site of surgeries disease-related and age at surgeries; genetics background: target gene, type of mutation, type of variant detected, clinical significance; family history: inheritance in maternal or paternal line; Clinical, orthopaedic and functional features are updated at each follow up. Clinical reports, medical charts, genetic report and imaging are the primary source of data.	25 years
Secondary	Genotype-Phenotype Correlation among clinical features and molecular background	The secondary outcome comprises the correlation between genotype and phenotype. This includes, but is not limited to clinical features and genetic background. This will be pursued using the information collected during visits and follow-ups and the genetic information resulting from molecular investigations.	25 years