Risk factors analysis and nomograph model construction of unplanned readmission for ischemic stroke within 31 days in Wenzhou

• Published in: Frontiers in neurology Vol. 16; p. 1499564
• Main Authors: Ma, Yingying, Jin, Zhili, Yi, Xianqiong, Ye, Xinxin
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 27.03.2025
• Subjects: ischemic stroke; Neurology; nomograph; pediatrics; risk model; unplanned readmission within 31 days; unplanned readmission within 31 days; ischemic stroke; risk model; nomograph; pediatrics
• DOI: 10.3389/fneur.2025.1499564
• ISSN: 1664-2295

To investigate independent risk factors for unplanned readmission of ischemic stroke patients within 31 days in Wenzhou, and establish a nomogram model for risk prediction. A total of 3,035 patients with ischemic stroke were randomly grouped (in an 8:2 ratio) into 2,428 training set and 607validation set. Independent sample -test, Pearson chi-square test, Fisher's exact and multivariate logistic regression analysis were used to determine the factors associated with 31-day unplanned readmission in ischemic stroke, and the nomogram was established and validated. Six hundred and sixty nine patients (22.04%) had unplanned readmission. Atrial fibrillation, smoking, education of junior high school and below, length of stay >16 days, Hcy, and UA were independent risk factors for 31-day unplanned readmission in patients with ischemic stroke. The training set [AUC = 0.883 (95% CI = 0.867-0.899)] and validation set [AUC = 0.817 (95% CI = 0.777-0.858)], and the calibration curve closely resembled the ideal curve, demonstrating good agreement between the predicted and actual values, it shows that the prediction model has a good degree of differentiation and calibration. At the same time, the decision curve shows that the model has a high clinical net benefit rate. The nomograph model established in this study to predict the risk of unplanned readmission of ischemic stroke patients within 31 days has good prediction ability.