Objective To analyze the factors influencing the prognosis of patients with rheumatoid arthritis patients and con-struct a nomogram prediction model.Methods A total of 213 patients with rheumatoid arthritis admitted to Jiu Jiang NO.1 Peo-ple's Hospital from June 2020 to December 2022 were selected as the research subjects.They were divided into a good prognosis group(n=135)and a poor prognosis group(n=78)based on their prognosis.The clinical data of two groups of pa-tients were compared.Multivariate logistic analysis was used to analyze the independent risk factors affecting the prognosis of patients with rheumatoid arthritis,and the R software"rms"package was used to construct a Nomogram prediction model.Results The results of univariate analysis showed that serum erythrocyte sedimentation rate(ESR),IL-6,IL-32 and tumor necrosis factor-α(TNF-α)levels in the poor prognosis group were higher than those in the good prognosis group,and the dif-ferences were statistically significant(P＜0.05).Multivariate analysis of logistic regression model showed that ESR(β=0.048,OR=1.049,95％CI:1.019-1.080),IL-6(β=0.339,OR=1.404,95％CI:1.219-1.617),IL-32(β=0.042,OR=1.042,95％CI:1.018-1.068)and TNF-α(β=0.046,OR=1.047,95％CI:1.027-1.067)were independent risk factors for prognosis in pa-tients with rheumatoid arthritis(P＜0.05).The results of the decision curve show that this predictive model can provide ad-ditional clinical net benefit when the risk threshold is＞0.13.Conclusion ESR,IL-6,IL-32,TNF-α are independent risk factor for the prognosis of rheumatoid arthritis patients,and the Nomogram prediction model constructed based on this pro-vides important strategic guidance for the prevention and treatment of the prognosis of rheumatoid arthritis patients.
维普
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