A Pooled Analysis of Preoperative Inflammatory Biomarkers to Predict 90-Day Outcomes in Patients with an Aneurysmal Subarachnoid Hemorrhage: A Single-Center Retrospective Study

Bibliographic Details
Title: A Pooled Analysis of Preoperative Inflammatory Biomarkers to Predict 90-Day Outcomes in Patients with an Aneurysmal Subarachnoid Hemorrhage: A Single-Center Retrospective Study
Authors: Zhaobo Nie, Fa Lin, Runting Li, Xiaolin Chen, Yuanli Zhao
Source: Brain Sciences, Vol 13, Iss 2, p 257 (2023)
Publisher Information: MDPI AG, 2023.
Publication Year: 2023
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: aneurysmal subarachnoid hemorrhage, inflammatory biomarkers, pneumonia, functional outcome, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: An inflammatory response after an aneurysmal subarachnoid hemorrhage (aSAH) has always been in the spotlight. However, few studies have compared the prognostic impact of inflammatory biomarkers. Moreover, why these inflammatory biomarkers contribute to a poor prognosis is also unclear. We retrospectively reviewed aSAH patients admitted to our institution between January 2015 and December 2020. The 90-day unfavorable functional outcome was defined as a modified Rankin scale (mRS) of ≥ 3. Independent inflammatory biomarker-related risk factors associated with 90-day unfavorable outcomes were derived from a forward stepwise multivariate analysis. Receiver operating characteristic curve analysis was conducted to identify the best cut-off value of inflammatory biomarkers. Then, patients were divided into two groups according to each biomarker’s cut-off value. To eliminate the imbalances in baseline characteristics, propensity score matching (PSM) was carried out to assess the impact of each biomarker on in-hospital complications. A total of 543 patients were enrolled in this study and 96 (17.7%) patients had unfavorable 90-day outcomes. A multivariate analysis showed that the white blood cell (WBC) count, the systemic inflammation response index, the neutrophil count, the neutrophil-to-albumin ratio, the monocyte count, and the monocyte-to-lymphocyte ratio were independently associated with 90-day unfavorable outcomes. The WBC count showed the best predictive ability (area under the curve (AUC) = 0.710, 95% CI = 0.652–0.769, p < 0.001). After PSM, almost all abnormal levels of inflammatory biomarkers were associated with a higher incidence of pneumonia during hospitalization. The WBC count had the strongest association with poor outcomes. Similar to nearly all other inflammatory biomarkers, the cause of poor prognosis may be the higher incidence of in-hospital pneumonia.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2076-3425
Relation: https://www.mdpi.com/2076-3425/13/2/257; https://doaj.org/toc/2076-3425
DOI: 10.3390/brainsci13020257
Access URL: https://doaj.org/article/24a7488312f54c9a9d7d600a14a82ce7
Accession Number: edsdoj.24a7488312f54c9a9d7d600a14a82ce7
Database: Directory of Open Access Journals
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More Details
ISSN:20763425
DOI:10.3390/brainsci13020257
Published in:Brain Sciences
Language:English