Manuscript data: Tables and figures

A total of 405 critically ill DKD patients in the ICU were included in this study, of whom 88 patients experienced 90-day in-hospital mortality. The results indicated that admission age, red blood cell distribution width (RDW), and delirium were predictors of 90-day in-hospital mortality. Multivariable logistic regression showed that all variables were statistically significant. A forest plot visualized the effect estimates and 95% confidence intervals for each predictor. The model achieved a C-index of 0.891. The AUC values for the training and validation sets were 0.825 (95% CI: 0.764 - 0.887) and 0.782 (95% CI: 0.609 - 0.824), respectively. Calibration curves demonstrated good predictive consistency, and DCA confirmed the significant clinical value of the model.

本研究共纳入重症监护病房（Intensive Care Unit, ICU）内405例重症糖尿病肾病（Diabetic Kidney Disease, DKD）患者，其中88例患者发生90天住院期间死亡。研究结果显示，入院年龄、红细胞分布宽度（Red Blood Cell Distribution Width, RDW）以及谵妄为90天住院期间死亡的预测因素。多变量Logistic回归分析表明，所有变量均具有统计学显著性。研究通过森林图可视化展示了各预测因素的效应估计值与95%置信区间（Confidence Interval, CI）。该模型的C指数（C-index）达0.891。训练集与验证集的曲线下面积（Area Under Curve, AUC）分别为0.825（95% CI：0.764 - 0.887）与0.782（95% CI：0.609 - 0.824）。校准曲线证实模型具备良好的预测一致性，决策曲线分析（Decision Curve Analysis, DCA）则验证了该模型具有显著的临床应用价值。