Model for predicting curative effect of csDMARDs for treating rheumatoid arthritis and establishment method thereof
A technology for arthritis and rheumatoid, applied in the field of medicine, can solve the problems of unreported and predicting the prognosis of patients, and achieve the effects of reducing misjudgment, improving the quality of life, and avoiding disability
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Embodiment 1
[0050] Example 1 Construction of a prediction model for the efficacy of csDMARDs in the treatment of rheumatoid arthritis
[0051] All patients were evaluated for disease activity by ACR 1987 criteria and ACR / EULAR 2010 criteria. 184 patients with moderate-to-severe disease activity rheumatoid arthritis who received traditional csDMARDs were randomly divided into developmental groups using R software in a ratio of 7:3. cohort (129 cases) and validation cohort (55 cases).
[0052] The basic information of the patient was collected in detail, including age, gender, family history, etc. Plasma was collected from the patients, and the levels of TNF-α, IL-6, Gal-9 and VEGF were detected. All enrolled patients were given methotrexate (MTX), tacrolimus (FK506), iguratimod (T-614), hydroxychloroquine (HCQ), Treatment with one or more of the csDMARDs, such as leflunomide (LEF). Non-steroidal anti-inflammatory drugs (NSAIDs) and hormonal drugs are used in combination if necessary acc...
Embodiment 2
[0061] Verification and Comparison of the Model of Example 2
[0062] The discriminative degree of the model was evaluated by the degree of discrimination and the area under the ROC curve. Calculated C-Index 0.73 (95%CI: 0.56-0.90) for this nomogram development cohort. C-Index of the validation cohort 0.70 (95% CI: 0.53-0.88). This shows that our model has better discrimination. The time-dependent ROC curve analysis showed that the AUC of the development cohort to predict the nomograms of 3 months, 6 months and 12 months were 0.76, 0.82 and 0.73 ( Image 6 ). The nomogram had significant discriminatory power in predicting remission, and higher nomogram scores indicated that patients were more likely to achieve remission earlier. The calculated AUCs of the development cohort nomograms were all greater than 0.5 with the change of follow-up time, which showed that our prediction model did not show a decrease in stability over time ( Figure 7 ).
[0063] We assessed the acc...
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