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. 2024 Nov 1;11:1470987. doi: 10.3389/fcvm.2024.1470987

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© 2024 Zhou, Zhang, Qiao, Chen, Guo, Fu, Zheng, Du and Dong.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Performance evaluation in terms of mortality prediction model in the derivation and validation cohorts. (A) The area under the receiver operating characteristic curve (AUC) of the mortality prediction model in the derivation cohort was 0.825 [95% confidence interval (CI): 0.764–0.886], which was better than that of Euro score II (p < 0.001). (B) The AUC of the mortality prediction model in the external validation cohort was 0.808 (95% CI: 0.699–0.917), which was also better than that of Euro score II (p < 0.001). (C,D) Calibration plot of the mortality prediction model in the derivation and validation cohort. The dashed diagonal line represents perfect calibration. The x-axis is the predicted probability estimated by the model and the y-axis is the actual probability.