Prognostic nomogram integrated with inflammatory marker ratios for assessing in-hospital mortality risk in patients with acute type A aortic dissection

Xiao-Chai Lv, Lin-feng Xie, Min-xia Xie, Lei Wang, Yan-ting Hou and Liang-wan Chen

PLOS ONE, 2025, vol. 20, issue 10, 1-12

Abstract: Background: Preoperative inflammatory biomarker ratios to predict adverse outcomes in patients with acute type A aortic dissection (AAD) were assessed in this study, and a prognostic nomogram to guide anti-inflammatory therapy was developed.. Methods: We retrospectively analyzed 673 adult AAD patients who underwent surgery. Preoperative hematological parameters, including neutrophil, lymphocyte, and platelet counts; hemoglobin (Hb) and albumin levels; and composite indices including the neutrophil‒lymphocyte ratio (NLR), platelet‒lymphocyte ratio, neutrophil‒platelet ratio, and platelet‒albumin ratio, were evaluated. The univariate and multivariate logistic regression identified in-hospital mortality predictors, and a nomogram was constructed. The internal validation included bootstrapping with discrimination assessed by the C-index and calibration by the Hosmer–Lemeshow test. Results: The univariate analysis revealed Hb, D-dimer, blood urea nitrogen, and albumin levels; the NLR; the aortic root concomitant procedure; ventilation support time and multiple organ dysfunction syndrome (MODS) as perioperative mortality predictors; after multivariate adjustment, decreased Hb level, elevated NLR, and the presence of MODS independently predicted in-hospital mortality. The nomogram that integrated these predictors achieved a corrected C-index of 0.846 and an area under the curve of 0.843, which demonstrated strong calibration and a Hosmer–Lemeshow P = 0.91. At the optimal probability cutoff of 0.124, the sensitivity was 77.2%, the specificity was 78.2%, and the accuracy was 78.1%. Conclusion: The NLR and preoperative Hb level, combined with postoperative MODS, independently predict in-hospital death in patients with AAD. Additionally, a nomogram combining these factors accurately predicts short-term mortality and aids in the personalized risk assessment and may assist in improving the prognosis.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0333023

DOI: 10.1371/journal.pone.0333023

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