检验医学 ›› 2022, Vol. 37 ›› Issue (11): 1071-1074.DOI: 10.3969/j.issn.1673-8640.2022.011.014

• 临床应用研究·论著 • 上一篇    下一篇

术前SII水平与开放性骨折患者内固定术后感染的相关性

张银网1, 刘瑾瑜1(), 宋云霄2(), 葛雯2, 张琳琳2, 袁文华2, 赵智赟2   

  1. 1.上海市徐汇区中心医院骨科,上海 200031
    2.上海市徐汇区中心医院检验科,上海 200031
  • 收稿日期:2022-04-04 修回日期:2022-09-09 出版日期:2022-11-30 发布日期:2022-12-26
  • 通讯作者: 刘瑾瑜,宋云霄
  • 作者简介:宋云霄,E-mail:xzxsh@sina.com
    张银网,男,1965年生,主任医师,主要从事临床骨科相关疾病诊治工作。

Relationship between preoperative SII and postoperative infection in patients with open fracture after internal fixation

ZHANG Yinwang1, LIU Jinyu1(), SONG Yunxiao2(), GE Wen2, ZHANG Linlin2, YUAN Wenhua2, ZHAO Zhiyun2   

  1. 1. Department of Orthopedics,Shanghai Xuhui District Central Hospital,Shanghai 200031,China
    2. Department of Clinical Laboratory,Shanghai Xuhui District Central Hospital,Shanghai 200031,China
  • Received:2022-04-04 Revised:2022-09-09 Online:2022-11-30 Published:2022-12-26
  • Contact: LIU Jinyu,SONG Yunxiao

摘要:

目的 探讨术前全身系统性炎症指标[全身免疫炎症指数(SII)、血小板/淋巴细胞比值(PLR)、中性粒细胞/淋巴细胞比值(NLR)、淋巴细胞/单核细胞比值(LMR)]与开放性骨折患者内固定术后感染的相关性。方法 选取接受内固定手术治疗的开放性骨折患者398例,收集其一般资料并检测其术前24 h内血常规,计算SII、PLR、NLR、LMR。术后进行10周的随访,根据有无发生感染分为感染组和非感染组。采用Kaplan-Meier生存曲线分析开放性骨折患者术后感染的发生情况,采用Cox回归分析评估开放性骨折患者发生术后感染的影响因素。结果 398例患者中有41例术后发生感染,术后感染率为10.30%。感染组SII水平显著高于非感染组(P=0.002),PLR、NLR和LMR水平2个组之间差异均无统计学意义(P>0.05)。根据术前SII中位数将所有患者分为SII≥777组和SII<777组。Kaplan-Meier生存曲线分析结果显示,SII≥777组患者术后感染率(14.93%)显著高于SII<777组(5.58%)(Log-rankχ2=10.50,P=0.001 2)。Cox回归分析结果显示,校正年龄、性别、体质量指数、糖尿病、高血压后,术前SII≥777是患者发生术后感染的独立危险因素[风险比(HR)=3.320,95%可信区间(CI)为1.450~7.599]。结论 术前SII水平升高的开放性骨折患者术后感染风险显著升高,术前SII水平对开放性骨折患者术后感染具有一定的预测价值。

关键词: 系统性免疫炎症指数, 血小板/淋巴细胞比值, 中性粒细胞/淋巴细胞比值, 淋巴细胞/单核细胞比值, 开放性骨折, 感染

Abstract:

Objective To investigate the relationship between preoperative systemic inflammatory indexes [systemic immune inflammation index(SII),platelet/lymphocyte ratio(PLR),neutrophil/lymphocyte ratio(NLR),lymphocyte/monocyte ratio(LMR)] and infection after internal fixation in patients with open fracture. Methods A total of 398 patients with open fracture treated with internal fixation were enrolled. The general clinical data were collected,and blood routine tests were performed within 24 h before operation. SII,PLR,NLR and LMR were calculated. The patients were followed up for 10 weeks after operation,and they were classified into infection group and non-infection group according to the presence or absence of infection. Kaplan-Meier survival curve was used to analyze the incidence of infection in patients with open fracture. Cox regression analysis was used to evaluate the risk factors of postoperative infection in patients with open fracture. Results In 398 patients with open fracture,41 cases developed postoperative infection. The SII in infection group was higher than that in non-infection group(P=0.002),and there was no statistical significance in PLR,NLR and LMR between the 2 groups(P>0.05). All the patients were classified into SII≥777 group and SII<777 group according to the median level of SII at baseline. Kaplan-Meier survival curve analysis showed that the postoperative infection rate of SII≥777 group(14.93%) was higher than that of SII<777 group(5.58%)(Log-rankχ2=10.50,P=0.001 2). After the adjustment for age,sex,body mass index(BMI),diabetes mellitus and hypertension,baseline SII≥777 was an independent risk factor for postoperative infection in open fracture patients [hazard ratio(HR)=3.320,95% confidence interval(CI) 1.450-7.599]. Conclusions Open fracture patients with elevated preoperative SII have a risk of postoperative infection. Preoperative SII has predictive value for postoperative infection in patients with open fracture.

Key words: Systemic immune inflammation index, Platelet/lymphocyte ratio, Neutrophil/lymphocyte ratio, Lymphocyte/monocyte ratio, Open fracture, Infection

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