The predictive value of BMI for post‑operative intracranial infection in glioma patients
Objective To explore the predictive value of body mass index (BMI) for the occurrence of intracranial infection
in patients with glioma, and to provide a reference of the diagnosis and treatment for patients with glioma. Methods To
investigate and collect the clinical data of 128 patients who underwent glioma resection from January 2016 to December 2018 in
the Department of Neurosurgery, General Hospital of Ningxia Medical University. The patients were divided into intracranial
infection group and control group based on the incidence of postoperative intracranial infection. The differences in general
conditions, important surgical events, and main postoperative outcome indicators between the two groups of patients were
analyzed, and the independent risk factors for intracranial infection after glioma were analyzed. Chi-square test or Logistics
regression analysis. Results There were 33 patients with postoperative intracranial infection, and the cumulative infection rate
was 25.78%. Among them, BMI<18.5 kg/m2 (63.64%), 18.5 kg/m2
26 kg/m2（38.10%）.
Univariate analysis showed that the history of diabetes, intraoperative blood loss more than 300 ml, operation time more than 4 h,
and BMI<18.5 kg/m2 or BMI>26 kg/m2 were associated with the occurrence of postoperative intracranial infection (P<0.05).
Multivariate analysis showed that operation time more than 4 h and BMI<18.5 kg/m2 or BMI>26 kg/m2 were independently
associated with intracranial infection in patients with glioma (P<0.05). Conclusion BMI has a certain predictive value for the
occurrence of postoperative intracranial infection in patients with glioma. When the patient with BMI<18.5 kg/m2 or BMI>26 kg/m2,
more attention should be given to prevent the occurrence of postoperative intracranial infection.
School of public health and management, Ningxia Medical University, Yinchuan 750001, Ningxia, China; 2
Department of nutrition, Gen?
eral hospital of Ningxia Medical University, Yinchuan 750001, Ningxia, China
Abstract：Objective To explore the predictive value of body mass index (BMI) for the occurrence of intracranial infection
in patients with glioma, and to provide a reference of the diagnosis and treatment for patients with glioma. Methods To
investigate and collect the clinical data of 128 patients who underwent glioma resection from January 2016 to December 2018 in
the Department of Neurosurgery, General Hospital of Ningxia Medical University. The patients were divided into intracranial
infection group and control group based on the incidence of postoperative intracranial infection. The differences in general
conditions, important surgical events, and main postoperative outcome indicators between the two groups of patients were
analyzed, and the independent risk factors for intracranial infection after glioma were analyzed. Chi-square test or Logistics
regression analysis. Results There were 33 patients with postoperative intracranial infection, and the cumulative infection rate
was 25.78%. Among them, BMI<18.5 kg/m2 (63.64%), 18.5 kg/m2
26 kg/m2（38.10%）.
Univariate analysis showed that the history of diabetes, intraoperative blood loss more than 300 ml, operation time more than 4 h,
and BMI<18.5 kg/m2 or BMI>26 kg/m2 were associated with the occurrence of postoperative intracranial infection (P<0.05).
Multivariate analysis showed that operation time more than 4 h and BMI<18.5 kg/m2 or BMI>26 kg/m2 were independently
associated with intracranial infection in patients with glioma (P<0.05). Conclusion BMI has a certain predictive value for the
occurrence of postoperative intracranial infection in patients with glioma. When the patient with BMI<18.5 kg/m2 or BMI>26 kg/m2,
more attention should be given to prevent the occurrence of postoperative intracranial infection.
1刘双，2薛涛，1王伟红，1马佳敏，1张梦伟，1杨建军. 体质指数对脑胶质瘤切除术后颅内感染的预测价值[J]. 肿瘤代谢与营养电子杂志, 2021, 8(2): 157-161.
1LiuShuang,2XueTao,1WangWeihong,1MaJiamin,3ZhangMengwei,3YangJianjun. The predictive value of BMI for post‑operative intracranial infection in glioma patients. Electron J Metab Nutr Cancer, 2021, 8(2): 157-161.
