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Clinical, radiological and analytical characterization of knee osteoartritic patients
Catalonia (AECS) - University Pompeu Fabra (UPF) - Campus Universitari Mar, Barcelona
Orthopaedics and Rehabilitation
Inflammatory and cartilage cellular reseach group – IMIM Carrer del Dr. Aiguader, 88, 08003 Barcelona
Jordi Monfort, MD; Laura Tío, PhD
Jordi Monfort, MD; Laura Tío, PhD
English and Spanish
Type of Research Project
- Clinical Project without Laboratory work
What is the background of the project?
Osteoarthritis (OA) is a highly disabling disease with a high prevalence (30% of Spanish population over 65 years present radiological OA) and a significant economic cost. This multifactorial condition, must be studied and assessed in the most holistic way as possible, since treatments that focus only on a single factor/symptom usually fail, impeding any efficient prevention of arthroplasty. Yet, in the current era of omics, the ability to generate knowledge passes through the integration of biological and clinical data and engineering approaches into both virtual and experimental prototypes, rather than the mere obtainment of these data. Therefore, the main motivation of this project is to design a predictive and exploratory model that considers the 3 main areas implicated in the OA pathology: pain, clinical/morphological patient characteristics and articular defects.
What is the aim of the project?
To characterize patients according to different risk factors related to the progression of OA.
What techniques and methods are used?
The study bases are sustained in a patients0 clinical history review, mainly to search matients’ comorbilities and to collects data from clinical analysis, related with the disease. Then, we graduate the OA degree following Kelgren an Lawrence scales, looking for the 3 main areas implicated in the OA pathology (as explained in the background). Achievement of this goal requires the integration of: (i) cell function models in relation to the physical and mechanical cell environment; (ii) cartilage matrix component quantification models through images obtained with quantitative magnetic resonance; (iii) pain objectification models through clinical, inflammation and articular defects parameters. Finally, we analize the results statistically, using diffent kind of programs (such as SPSS and R) to finally define the perfect treatment for this pathology.
What is the role of the student?
- The student will mainly observe
- The tasks of the student will be performed on his/her own
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
The task expected are: - to recover X-rays from the telematic database of the hospital and to generate a file with this compilation. - to perform a first graduation of these X-rays at external and internal femorotibial, and patellofemoral level. - to extract analytical data from the hospital's telematic database to fill out a specific Access database for the study. - Analize the results using statistical programs (the researchers would taught how to use them). The student will analyse the risk factors that induce the OA, and confirm the best treatment depending on the ethiology that cause it.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
There will be a theoretical teaching with preliminary readings about the topic, how to grade OA radiography and how to extract data from the hospital database
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a scientific report - The student’s name will be mentioned in a future publication
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Team working, self-management, problem-solving and resourcefulness
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts: - Medical students - Graduated students (less than 6 months)
- • KELLGREN JH; LAWRENCE JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957;16(4):494-502.
- • Schiphof D; Boers M; Bierma-Zeinstra SMA Differences in descriptions of Kellgren and Lawrence grades of knee osteoarthritis Annals of the Rheumatic Diseases 2008;67:1034-1036.
- • Kohn MD; Sassoon AA; Fernando ND. Classifications in Brief: Kellgren-Lawrence Classification of Osteoarthritis. Clin Orthop Relat Res. 2016;474(8):1886-93.
- • Deveza LA; Melo L; Yamato TP; Mills K; Ravi V; Hunter DJ. Knee osteoarthritis phenotypes and their relevance for outcomes: a systematic review. Osteoarthritis Cartilage. 2017 Dec;25(12):1926-1941
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