ORIGINAL RESEARCH article
Front. Neurol.
Sec. Neurological Biomarkers
Volume 16 - 2025 | doi: 10.3389/fneur.2025.1563106
The correlation between inflammatory markers and postoperative pulmonary infection in patients with aneurysmal subarachnoid hemorrhage and the construction of prediction model
Provisionally accepted
Hongxiang Chen
Fangyu Yang
Yulong ZhaoJiaming Liu
Yichun TangShunyao DuZezheng FanHongge FanPenglin Ren
Xu Gao*- general hospital of northern theatre command, Shenyang, China
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Background: Aneurysmal 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.In 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.The results revealed that 226 patients had pneumonia. In the ROC curveanalysis, 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).In 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.
Keywords: aneurysmal subarachnoid Hemorrhage, Neuroinflammation, Pneumonia, Inflammatory markers, nomogram, predictive model
Received: 19 Jan 2025; Accepted: 06 Jun 2025.
Copyright: © 2025 Chen, Yang, Zhao, Liu, Tang, Du, Fan, Fan, Ren and Gao. 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) or licensor 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.
* Correspondence: Xu Gao, general hospital of northern theatre command, Shenyang, China
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