Hand osteoarthritis classification study

  • Research type

    Research Study

  • Full title

    The Development of New Classification Criteria for Hand Osteoarthritis

  • IRAS ID

    178945

  • Contact name

    A Abhishek

  • Contact email

    abhishek.abhishek@nottingham.ac.uk

  • Sponsor organisation

    University of Nottingham

  • Duration of Study in the UK

    1 years, 6 months, 2 days

  • Research summary

    The purpose of this study is to develop a new criteria for distinguishing patients with hand osteoarthritis from other conditions based on their symptoms and/or x-ray findings. This is a multi-center international study. 200 participants older than 18 years in age, 100 with hand osteoarthritis and 100 with hand complaints not due to osteoarthritis will be recruited in nine hospitals worldwide. Twenty-four participants will be recruited in Nottingham, UK. Patients will attend for a single visit at which they will give information about their joint symptoms, and have examination of their joints. Blood tests for measuring inflammation and hand radiographs will be performed if this has not been done in the previous six months. Photograph of both hands will be taken. We anticipate the study visit to take approximately one hour. The patients' symptoms will be scored on a 1 to 10 scale by a rheumatologist as to whether they are related to hand osteoarthritis or not. Once data from all participating centers is collected, it will be sent to the main study center for analysis so that symptoms, signs and x-ray and blood test changes that can differentiate patients with hand osteoarthritis from other conditions will be identified. Only anonymised information will be sent to the main study center.

    Logistic regression analyses with limited numbers of predictors evaluating which clinical features (independent variables) discriminate between OA and not OA (dependent variable) using data from 50 patients. A list of potentially relevant features and categories within each feature for classifying an individual as having (or not having) hand OA will be developed. The 1000Minds software (www.1000Minds.com) will be used to develop a weighting scheme for these features with the goal of identifying a set of criteria that provide a range of probability (from 0 to 100%) of hand OA.

  • REC name

    East Midlands - Nottingham 2 Research Ethics Committee

  • REC reference

    16/EM/0018

  • Date of REC Opinion

    1 Feb 2016

  • REC opinion

    Favourable Opinion