AUTHOR=Chen Hongxiang , Yang Fangyu , Zhao Yulong , Liu Jiaming , Tang Yichun , Du Shunyao , Fan Zezheng , Fan Hongge , Ren Penglin , Gao Xu 

TITLE=The correlation between inflammatory markers and postoperative pulmonary infection in patients with aneurysmal subarachnoid hemorrhage and the construction of prediction model

JOURNAL=Frontiers in Neurology

VOLUME=Volume 16 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1563106

DOI=10.3389/fneur.2025.1563106

ISSN=1664-2295

ABSTRACT=BackgroundAneurysmal subarachnoid hemorrhage (aSAH)-related pneumonia has a high incidence, with a significant impact on prognosis. This study aims to investigate the correlation between inflammation markers and aSAH-related pneumonia and develop a clinical prediction model for aSAH-related pneumonia using inflammation markers for better clinical decisions.MethodIn this retrospective study, we retrieved data including demographic, imaging, laboratory, and clinical complications of patients with aSAH admitted to the General Hospital of Northern Theater Command between January 2018 and January 2024. Multiple logistic regression models were employed to perform data analysis.ResultsThe results revealed that 226 patients had pneumonia. In the ROC curve analysis, LDH had higher predictive accuracy than other biomarkers. The optimal cut-off value for predicting pneumonia using LDH (Lactate dehydrogenase) was 1.545, with a sensitivity of 73% and a specificity of 81.5%. The relevant risk factors identified by multivariate logistic regression were incorporated into the Nomogram. The calibration curve showed a strong agreement between the predicted and observed probabilities. The C index was 0.82, the ROC curve demonstrated excellent discrimination. Besides, the AUC for predicting pneumonia using the Nomogram was 0.82 (95% CI 0.791–0.823; p < 0.001).ConclusionIn summary, inflammatory markers have a certain predictive value for pneumonia in aSAH patients, with LDH being significantly linked to pneumonia after aSAH with excellent individual predictive capacity. The concordance between the predicted and observed probabilities is strong, confirming an excellent predictive ability for pneumonia following aSAH.