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目的 探讨EGRIS模型对Guillain-Barré综合征(GBS)患者发生呼吸衰竭的预测价值.方法回顾性分析263例GBS患者的临床资料,按住院期间是否发生呼吸衰竭分为两组.绘制EGRIS预测呼吸衰竭的受试者工作曲线分析(ROC),计算曲线下面积(AUC)、最大约登指数时的评分临界值、灵敏度及特异度.结果 本组中28例(10.6%) GBS患者发生呼吸衰竭. EGRIS模型显示了极好的预测能力(AUC＝0.892, 95%CI: 0.835～0.949, P＜0.05);当EGRIS分值为3.5时约登指数最大,灵敏度为75%,特异度为85.1%.结论 EGRIS评分模型简便易行,能够在GBS早期准确识别发生呼吸衰竭的高危患者.“,”Objective To explore the predictive performance of EGRIS on the risk of respiratory failure in patients with Guillain-Barrésyndrome (GBS).Methods The medical records of 263 consecutive patients with GBS were retrospectively divided into two groups according to whether respiratory failure occurred during hospitalization . Model performance was quantified by using the receiver operating curve (ROC) analysis.The following parameters, such as the area under the curve (AUC), and cut-off value of the EGRIS, sensitivity and specificity corresponding to the maximum Youden Index , were then obtained.Results There were 28 ( 10.6%) patients in this group developed into respiratory failure during hospitalization.Validation of EGRIS model suggested excellent discriminative ability (AUC＝0.892, 95%CI: 0.835-0.949, P＜0.05), with a cut-off score of 3.5 found to be highly sensitive (75%) and specific (85.1%) for predicting respiratory failure.Conclusion The EGRIS is a simple but accurate model to predict the risk of respiratory failure in the early stage of GBS.