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Original Research

Development and External Verification of a Nomogram for Patients with Persistent Acute Kidney Injury in the Intensive Care Unit

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Pages 5005-5015 | Published online: 29 Aug 2021

Figures & data

Table 1 Clinicopathological Characteristics of All Patients

Figure 1 The flow chart of this study.

Figure 1 The flow chart of this study.

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).

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.

Figure 4 The predictive nomogram for persistent acute kidney injury.

Figure 4 The predictive nomogram for persistent acute kidney injury.

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).