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. 2026 Sep 16;16:1891664. doi: 10.3389/fcimb.2026.1891664

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Copyright © 2026 Yang, Huang, Luo and Peng.

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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Twelve-panel figure showing receiver operating characteristic (ROC) curves evaluating prediction models’ performance. Each panel (A-L) compares the original model (red line) versus the model plus logLDAR (blue line) for a different scoring system: APACHE II, APS III, Charlson, OASIS, SAPS II, or SOFA. Each curve plots sensitivity versus one minus specificity, with area under the curve (AUC) values listed in the legend. In all panels, adding logLDAR improves AUC relative to the original model. — Incremental predictive value of adding logLDAR to six conventional severity scores. ROC curves and AUCs (with 95% CI) before (dashed) and after (solid) adding logLDAR for (A–F) 28-day ICU mortality and (G–L) 28-day in-hospital mortality. DeLong P<0.01 for all comparisons.