Development of a verified osteoarthritis risk scale based on a cross-sectional study of clinical and anamnestic parameters and pharmacological anamnesis of patients
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...
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Published in | Farmakoèkonomika (Moskva. Online) Vol. 16; no. 1; pp. 70 - 79 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English Russian |
Published |
IRBIS LLC
01.04.2023
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2070-4909 2070-4933 |
DOI: | 10.17749/2070-4909/farmakoekonomika.2023.158 |