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Chinese Journal of Neurotraumatic Surgery(Electronic Edition) ›› 2020, Vol. 06 ›› Issue (05): 279-282. doi: 10.3877/cma.j.issn.2095-9141.2020.05.006

Special Issue:

• Clinical Research • Previous Articles     Next Articles

Study on the relationship between milk fat globule-epidermal growth factor 8 and aneurysmal subarachnoid hemorrhage

Lei Cao1, Tongtong Wang1, Ming Shang1, Chong Ma1, Jianping Zhao1, Kai Li1, Hailiang Zong1, Xiaoguang He1, Hai Du1, Xing Ming1,()   

  1. 1. Department of Neurosurgery, Xuzhou Central Hospital, Xuzhou 221009, China
  • Received:2020-09-01 Online:2020-10-15 Published:2020-10-15
  • Contact: Xing Ming
  • About author:
    Corresponding author: Ming Xing, Email:

Abstract:

Objective

To investigate the relationship between milk fat globule-epidermal growth factor 8 (MFG-E8) and the severity and prognosis of patients with aneurysmal subarachnoid hemorrhage (aSAH).

Methods

A total of 30 aSAH patients admitted to Neurosurgery Department of Xuzhou Central Hospital from January to December 2019 were collected, and healthy adults matched with their gender and age were included as the control group. Patients with aSAH were divided into severe aSAH group and non-severe aSAH group according to the modified Fisher grade or Hunt-Hess grade. All patients were followed up for 6 months after surgery, and were divided into a good prognosis group and a bad prognosis group according to the GOS score. The relationship between MFG-E8 and the severity and prognosis of aSAH was analyzed.

Results

Blood MFG-E8 concentration in aSAH group was higher than that in the control group (P=0.000). Blood MFG-E8 concentration was positively correlated with the severity of aSAH patients (r=0.951, P=0.000), but there was no correlation between blood MFG-E8 concentration and GOS score (r=0.233, P=0.489).

Conclusion

MFG-E8 may be a potential biomarker for the severity and prognosis of patients with aSAH.

Key words: Aneurysmal subarachnoid hemorrhage, Milk fat globule-epidermal growth factor 8, Prognosis, Potential biomarker

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