Figures & data
Table 1 Clinicopathological Characteristics of All Patients
Figure 2 Survival analyses comparing between persistent and transient acute kidney injury patients in the training cohort (A), internal validation cohort (B) and external validation cohort (C).
![Figure 2 Survival analyses comparing between persistent and transient acute kidney injury patients in the training cohort (A), internal validation cohort (B) and external validation cohort (C).](/cms/asset/c8726d88-6a6c-4c59-bd07-8844aeda0546/dijg_a_12168300_f0002_c.jpg)
Figure 3 Selection of significant indexes associated with persistent acute kidney injury patients. (A) LASSO Cox regression model. (B) Support vector machine model. (C) The overlapping features identified by the two models.
![Figure 3 Selection of significant indexes associated with persistent acute kidney injury patients. (A) LASSO Cox regression model. (B) Support vector machine model. (C) The overlapping features identified by the two models.](/cms/asset/00184482-7a40-456d-ba71-f323ce81f834/dijg_a_12168300_f0003_c.jpg)
Figure 5 Calibration and clinical utility of the predictive nomogram. The predictive nomogram exhibited a high correlation between the actual probability and predicted probability in the training cohort (A), internal validation cohort (B) and external validation cohort (C). Decision curves analysis for the predictive nomogram to predict the persistent acute kidney injury in the training cohort (D), internal validation cohort (E) and external validation cohort (F).
![Figure 5 Calibration and clinical utility of the predictive nomogram. The predictive nomogram exhibited a high correlation between the actual probability and predicted probability in the training cohort (A), internal validation cohort (B) and external validation cohort (C). Decision curves analysis for the predictive nomogram to predict the persistent acute kidney injury in the training cohort (D), internal validation cohort (E) and external validation cohort (F).](/cms/asset/eb932ba0-8276-4e11-84c8-91d59e196251/dijg_a_12168300_f0005_c.jpg)