Clinical value of the low-grade inflammation score in aneurysmal subarachnoid hemorrhage

Autor: Ling wang, Ling Chen, Yang Jin, Xiangyang Cao, Liujun Xue, Qiantao Cheng
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Neurology, Vol 23, Iss 1, Pp 1-8 (2023)
Druh dokumentu: article
ISSN: 1471-2377
DOI: 10.1186/s12883-023-03490-2
Popis: Abstract Background and purpose Multiple inflammatory biomarkers have been shown to predict symptomatic cerebral vasospasm (SCVS) and poor functional outcome in patients with aneurysmal subarachnoid hemorrhage. However, the impact of the low-grade inflammation (LGI) score, which can reflect the synergistic effects of five individual inflammatory biomarkers on SCVS and poor functional outcome on aneurysmal subarachnoid hemorrhage (aSAH), has not yet been well established. The aim of this study was to evaluate the impact of the LGI score on SCVS and poor functional outcome in aSAH patients. Methods The LGI score was calculated as the sum of 10 quantiles of each individual inflammatory biomarker. The association of the LGI score with the risk of SCVS and poor functional outcome was analyzed with multivariate logistical regression. Results A total of 270 eligible aSAH patients were included in this study: 74 (27.4%) had SCVS, and 79 (29.3%) had poor functional outcomes. After adjusting for confounders, a higher LGI score was revealed to independently predict SCVS (OR, 1.083; 95% CI, 1.011–1.161; P = 0.024) and poor functional outcome (OR, 1.132; 95% CI, 1.023–1.252; P = 0.016), and the second and third tertile group had higher risk of SCVS than lowest tertile group (OR, 2.826; 95% CI, 1.090–7.327; P = 0.033) (OR, 3.243; 95% CI, 1.258–8.358; P = 0.015). The receiver operating characteristic (ROC) curve uncovered the ability of the LGI score to distinguish patients with and without SCVS (area under the curve [AUC] = 0.746; 95% CI, 0.690–0.797; P
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