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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: J Surg Res. 2020 Jun 9;254:350–363. doi: 10.1016/j.jss.2020.05.007

Figure 6: A model using both preoperative and intraoperative data outperformed a model using preoperative data alone in predicting postoperative acute kidney injury.

Figure 6:

A: The postoperative model had greater area under the receiver operating characteristic curve (0.84 vs. 0.81). B: The postoperative model had greater area under the precision-recall curve (0.57 vs. 0.47). The postoperative model reclassified cases that did (C) and did not (D) feature acute kidney injury. Red dots are patients at high-risk for mortality according to the postoperative model; green dots are patients at low-risk. C, D: The postoperative model correctly reclassified 9.9% of all cases. Gray areas represent regions for which predictive discrimination or precision are ≤0.2, precluding reasonable clinical application.