Predictive value of anti-RA33,IL-6 and hs-CRP levels for treatment response in rheumatoid arthritis based on decision curve analysis
10.3969/j.issn.1673-4130.2024.12.005
- VernacularTitle:基于决策曲线分析抗RA33、IL-6及hs-CRP水平对类风湿关节炎治疗反应性的预测价值
- Author:
Xueli GENG
1
;
Chunnan ZHAO
;
Zezhi ZHANG
;
Yanling LIU
;
Peijian DING
Author Information
1. 承德医学院附属医院检验科,河北承德 067000
- Keywords:
rheumatoid arthritis;
anti-rheumatoid arthritis-33;
interleukin-6;
high-sensitivity C-reac-tive protein;
decision curve;
treatment response
- From:
International Journal of Laboratory Medicine
2024;45(12):1431-1434,1441
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the predictive value of anti-rheumatoid arthritis-33(anti-RA33),interleu-kin-6(IL-6)and high-sensitivity C-reactive protein(hs-CRP)levels for treatment response in patients with rheumatoid arthritis(RA)based on the decision curve.Methods A total of 102 RA patients admitted to the hospital from January 2021 to August 2023 were selected.The clinical data of the patients were collected and their serum anti-RA33,IL-6 and hs-CRP levels were detected.After half a year of treatment with methotrex-ate and etanercept,the patients were divided into good response group and non-response group according to the treatment response.Pearson correlation analysis was used to analyze the correlation between the levels of anti-RA33,IL-6,hs-CRP and disease activity score 28(DAS28)in RA patients.Multivariate Logistic regres-sion analysis was used to analyze the influencing factors of non-response in RA patients.Receiver operating characteristic(ROC)curve was drawn to analyze the efficacy of anti-RA33,IL-6 and hs-CRP in non-response to RA.The decision curve was used to analyze the net benefit of anti-RA33,IL-6 and hs-CRP alone or in com-bination to predict the non-response of RA patients to treatment.Results After half a year of treatment,80 patients had good or moderate response(good response group)and 22 patients had no response(non-response group).The course of disease in the good response group was shorter than that in the non-response group,and DAS28 score was lower than that in the non-response group(P＜0.05).The levels of serum anti-RA33,IL-6 and hs-CRP in the good response group were lower than those in the non-response group(P＜0.05).Pearson correlation analysis showed that the levels of serum anti-RA33,IL-6 and hs-CRP were negatively correlated with DAS28 score(P＜0.05).Multivariate Logistic regression analysis showed that DAS28 score,anti-RA33,IL-6 and hs-CRP levels were the influencing factors of non-response to treatment in RA patients(P＜0.05).ROC curves showed that the area under the curve of serum anti RA33,IL-6,hs-CRP single and combined for predicting patients without reaction were 0.729,0.814,0.831,0.948,and the combined prediction value was higher.The decision curve analysis showed that within the scope of the most reasonable threshold.The overall net benefit of serum anti-RA33,IL-6 and hs-CRP combined predicted treatment responsiveness in RA patients was higher than the net benefit predicted alone.Conclusion The levels of anti-RA33,IL-6 and hs-CRP are closely related to the treatment response of RA patients.The combination of the three has high clinical value and net benefit in predicting no response to treatment.
