Abstract:Objective:To analyze the risk factors influencing the relapse of psoriasis patients and construct a Nomogram model.Methods:A retrospective analysis was conducted on the clinical data of 100 psoriasis patients admitted to our hospital from January 2023 to January 2025. The patients were divided into relapse group (n=38) and non-relapse group (n=62) based on whether they had a relapse. The risk factors for relapse in psoriasis patients were analyzed and a Nomogram model was constructed accordingly.Results:There were statistically significant differences between the two groups in terms of disease duration, number of attacks, history of alcohol consumption, family history of psoriasis, BSA score, abnormal mental state, irregular medication use, infection, and damp environment (P<0.05). The results of multivariate Logistic regression analysis showed that disease duration (OR=2.435, 95%CI: 2.021-2.934), number of attacks (OR=2.181, 95%CI: 1.850-2.572), history of alcohol consumption (OR=2.166, 95%CI: 1.866-2.514), family history of psoriasis (OR=2.095, 95%CI: 1.819-2.329), BSA score (OR=1.820, 95%CI: 1.559-2.125), abnormal mental state (OR=1.935, 95%CI: 1.713-2.185), irregular medication use (OR=2.151, 95%CI: 1.821-2.541), infection (OR=1.804, 95%CI: 1.570-2.073), and damp environment (OR=1.908, 95%CI: 1.621-2.245) were risk factors for relapse in psoriasis patients (P<0.05). The internal validation consistency index of the Nomogram model was 0.727, the calibration curve had a high degree of coincidence with the 45-degree reference line, the area under the ROC curve (AUC=0.783, 95%CI: 0.677-0.889), sensitivity was 81.25%, and specificity was 67.50%. The model had a high clinical predictive value.Conclusion:Disease duration, number of attacks, history of alcohol consumption, family history of psoriasis, BSA score, abnormal mental state, irregular medication use, infection, and damp environment are risk factors for relapse in psoriasis patients. The Nomogram model constructed based on these factors has a high clinical predictive value and can provide a reference for assessing the relapse risk of psoriasis patients and guiding clinical interventions.