基于抗中性粒细胞胞质抗体的列线图模型对川崎病患儿并发冠状动脉病变风险的预测作用

陈蓉, 张锰, 朱荻绮, 郭颖, 沈捷

Nomogram for predicting the risk of coronary artery lesions in patients with Kawasaki disease based on anti-neutrophil cytoplasmic antibodies

CHEN Rong, ZHANG Meng, ZHU Diqi, GUO Ying, SHEN Jie

图2 训练集的LASSO回归模型风险因素筛选 Note： A. LASSO coefficient profiles for 6 variables. B. A 9-fold cross-validation used in the LASSO regression. Dotted vertical lines represent the optimal values, determined using the minimum criteria (left dotted line) and the 1 standard error criterion (right dotted line). λmin=0.000 6, λ1se=0.064 0.

Fig 2 Risk factors selection using a LASSO regression model in the training set