Analysis of influencing factors on prognosis of patients with rheumatoid arthritis and construction of Nomogram prediction model
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.
万方数据
维普
