A predictive model for progression to clinical arthritis in at-risk individuals with arthralgia based on lymphocyte subsets and ACPA

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023728%3A_____%2F24%3AN0000008" target="_blank" >RIV/00023728:_____/24:N0000008 - isvavai.cz</a>

Alternative codes found

RIV/00023728:_____/24:N0000001 RIV/00216208:11110/24:10483668 RIV/61384399:31140/24:00060340

Result on the web

<a href="https://doi.org/10.1093/rheumatology/keae383" target="_blank" >https://doi.org/10.1093/rheumatology/keae383</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/rheumatology/keae383" target="_blank" >10.1093/rheumatology/keae383</a>

Result language

angličtina

Original language name

A predictive model for progression to clinical arthritis in at-risk individuals with arthralgia based on lymphocyte subsets and ACPA

Original language description

The presence of ACPA significantly increases the risk of developing RA. Dysregulation of lymphocyte subpopulations was previously described in RA. Our objective was to propose the predictive model for progression to clinical arthritis based on peripheral lymphocyte subsets and ACPA in individuals who are at risk of RA. Our study included 207 at-risk individuals defined by the presence of arthralgias and either additional ACPA positivity or meeting the EULAR definition for clinically suspect arthralgia. For the construction of predictive models, 153 individuals with symptom duration ≥12 months who have not yet progressed to arthritis were included. The lymphocyte subsets were evaluated using flow cytometry and anti-CCP using ELISA. Out of all individuals with arthralgia, 41 progressed to arthritis. A logistic regression model with baseline peripheral blood lymphocyte subpopulations and ACPA as predictors was constructed. The resulting predictive model showed that high anti-CCP IgG, higher percentage of CD4+ T cells, and lower percentage of T and NK cells increased the probability of arthritis development. Moreover, the proposed classification decision tree showed that individuals having both high anti-CCP IgG and low NK cells have the highest risk of developing arthritis. We propose a predictive model based on baseline levels of lymphocyte subpopulations and ACPA to identify individuals with arthralgia with the highest risk of progression to clinical arthritis. The final model includes T cells and NK cells, which are involved in the pathogenesis of RA. This preliminary model requires further validation in larger at-risk cohorts.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30226 - Rheumatology

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Rheumatology (Oxford).

ISSN

1462-0324

e-ISSN

1462-0332

Volume of the periodical

63

Issue of the periodical within the volume

11

Country of publishing house

GB - UNITED KINGDOM

Number of pages

9

Pages from-to

3155-3163

UT code for WoS article

001289018000001

EID of the result in the Scopus database

2-s2.0-85204479223