Chinese Neurosurgical Journal (Apr 2020)

Can admission lipoprotein-associated phospholipase A2 predict the symptomatic cerebral vasospasm following aneurysmal subarachnoid hemorrhage?

  • Chen-Yu Ding,
  • Fang-Yu Wang,
  • Han-Pei Cai,
  • Xiao-Yong Chen,
  • Shu-Fa Zheng,
  • Liang-Hong Yu,
  • Yuan-Xiang Lin,
  • Zhang-Ya Lin,
  • De-Zhi Kang

DOI
https://doi.org/10.1186/s41016-020-00188-z
Journal volume & issue
Vol. 6, no. 1
pp. 1 – 8

Abstract

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Abstract Background Inflammation has been believed to be related to the development of cerebral vasospasm following aneurysmal subarachnoid hemorrhage (aSAH). A potential biomarker for vascular inflammation that is well recognized is the lipoprotein-associated phospholipase A2 (Lp-PLA2). However, whether Lp-PLA2 can predict the occurrence of symptomatic cerebral vasospasm (SCV) in aSAH patients is still unknown. Thus, this study aimed to assess the value of Lp-PLA2 for predicting SCV in patients with aSAH. Methods Between March 2017 and April 2018, we evaluated 128 consecutive aSAH patients who were admitted in the First Affiliated Hospital of Fujian Medical University. Their Lp-PLA2 level was obtained within 24 h of the initial bleeding. Factors might be related to SCV were analyzed. Results Compared to patients without SCV, those with SCV (9.4%, 12/128) had significantly higher Lp-PLA2 level. Multivariate logistic analysis revealed that worse modified Fisher grade (OR = 10.08, 95% CI = 2.04–49.86, P = 0.005) and higher Lp-PLA2 level (OR = 6.66, 95% CI = 1.33–3.30, P = 0.021) were significantly associated with SCV, even after adjustment for confounders. Based on the best threshold, Lp-PLA2 had a sensitivity of 83.3% and a specificity of 51.7% for predicting SCV, as shown by the receiver operating characteristic curve analysis. In the poor World Federation of Neurosurgical Societies grade patient sub-group, patients with Lp-PLA2 > 200 μg/L had significantly higher SCV rate than that of patients having Lp-PLA2 ≤ 200 μg/L. Conclusion The admission Lp-PLA2 level might be a helpful predictor for SCV in aSAH.

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