Development of a verified osteoarthritis risk scale based on a cross-sectional study of clinical and anamnestic parameters and pharmacological anamnesis of patients

Abstract

Objective: the development and verification of a scale for identifying patients at high risk of osteoarthritis (OA).Material and methods. The results of the analysis of a sample of patients aged 35–90 years from the database of the Institute of Trace Elements (n=3440), which included information on clinical and anamnestic, diagnostic parameters and pharmacotherapy of patients, including patients with OA (n=107), are presented. To analyze information about patients, modern methods of data analysis proposed within the topological theory of pattern recognition were used.Results. Based on the analysis of the sample, a 100-point scale of 27 points was developed which allows to identify patients at high risk of OA (sensitivity 88%, specificity 100%). For patients with high scores on the scale, a kind of “preemptive” prescription of symptomatic slowacting drugs for osteoarthritis (SySADOA) based on highly purified substances of chondroitin sulfate (CS) and glucosamine sulfate (GS) is promising. The evidence for CS/GS is extensive and has been reviewed previously.Conclusion. Early adoption of preventive measures (including the usage of SySADOA – CS/GS) in patients with a high score on the developed scale may reduce the risk of OA.

Keywords

• osteoarthritis
• joint pathology
• osteoarthritis risk assessment scale
• osteoarthritis prevention
• symptomatic slow-acting drugs for osteoarthritis
• sysadoa
• topological recognition theory