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

Author:

Torshin I. Yu.1ORCID,Lila А. М.2ORCID,Zagorodniy N. V.3ORCID,Nazarenko А. G.3ORCID,Tkacheva О. N.4ORCID,Dudinskaya Е. N.4ORCID,Alekseeva L. I.2,Taskina Е. А.2,Sarvilina I. V.5ORCID,Shavlovskaya О. А.6ORCID,Danilov A. B.7ORCID,Minasov Т. B.8ORCID,Galustyan А. N.9ORCID,Malyavskaya S. I.10ORCID,Gromov А. N.1ORCID,Egorova Е. Yu.11,Vasilyeva L. V.12ORCID,Evstratova E. F.12ORCID,Gogoleva I. V.12ORCID,Fedotova L. E.12ORCID,Udovika М. I.13,Maximov V. A.14ORCID,Povzun А. S.15ORCID,Gromova О. А.1ORCID

Affiliation:

1. Federal Research Center “Computer Science and Control”, Russian Academy of Sciences

2. Nasonova Research Institute of Rheumatology

3. Priorov National Medical Research Center of Traumatology and Orthopedics

4. Pirogov Russian National Research Medical University

5. Medical Centre “Novomeditsina”

6. International University of Restorative Medicine

7. Sechenov University

8. Bashkir State Medical University

9. Saint Petersburg State Pediatric Medical University

10. Northern State Medical University

11. Ivanovo State Medical Academy

12. Burdenko Voronezh State Medical University

13. Medical and Sanitary Unit of the Ministry of Internal Affairs of the Russian Federation in the Ulyanovsk Region

14. Russian Medical Academy of Continuing Professional Education

15. Sokolov North-Western District Scientific and Clinical Center, Federal Medical and Biological Agency of Russia

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.

Publisher

IRBIS

Subject

Public Health, Environmental and Occupational Health,Health Policy,Pharmacology

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