重度烧伤后并发脓毒症的危险因素

Risk factors for sepsis in patients with severe burn

  • 摘要: 目的 分析重度烧伤并发脓毒症感染的危险因素及可溶性髓系细胞触发受体-1(sTREM-1)、CD64和肿瘤坏死因子-α(TNF-α)水平变化。方法 回顾性收集2019年1月-2020年1月在开封市中心医院烧伤科收治的115例重度烧伤患者临床资料。根据重度烧伤并发脓毒症感染发生情况,分为脓毒症组(n=35)和非脓毒症组(n=80)。比较两组血清sTREM-1、CD64和TNF-α水平及临床指标,并通过多因素Logistic回归分析重度烧伤并发脓毒症感染危险因素。结果 脓毒症组入院时间、首次手术时间较非脓毒症组延长,有吸入性损伤情况比例升高(P<0.05)。脓毒症组血清sTREM-1、CD64及TNF-α水平高于非脓毒症组(P<0.05)。多因素Logistic回归分析结果显示,sTREM-1、CD64以及TNF-α水平升高、首次手术时间>3 d、未行手术、吸入性损伤均为重度烧伤创面修复后并发脓毒症感染的独立影响因素(P<0.05)。结论 重度烧伤并发脓毒症感染的危险因素较多,临床应针对性进行干预,从而降低发生风险,sTREM-1、CD64及TNF-α水平可作为预测因子。

     

    Abstract: OBJECTIVE To analyze the risk factors and change of soluble myeloid triggering receptor-1(sTREM-1), CD64 and tumor necrosis factor-α(TNF-α) levels in patients with major burn complicated with sepsis infection. METHODS The clinical data of 115 patients with major burn in the Burn Department of Kaifeng Central Hospital from Jan 2019 to Jan 2020 were retrospectively collected. According to the incidence of sepsis infection, they were divided into the sepsis group(n=35) and the non-septic group(n=80). The serum sTREM-1, CD64 and TNF-α levels and clinical indicators were compared between the 2 groups, and the risk factors of sepsis infection after major burn were analyzed by multivariate Logistic regression. RESULTS The hospital admission time and the first operation time of the sepsis group were significantly longer than those of the non-septic group, and the proportion of cases with inhalation injury increased significantly(P<0.05). Serum sTREM-1, CD64 and TNF-α levels were significantly higher in the sepsis group than in the non-septic group(P<0.05). Multivariate logistic regression analysis showed that sTREM-1, CD64, and TNF-α levels were elevated, the first operation time was >3 days, no surgery, and inhalation injuries were all independent influencing factors of major burn complicated with sepsis infection(P<0.05). CONCLUSION There are many risk factors for severe burns complicated with sepsis infection, so clinical intervention should be targeted to reduce the risk, sTREM-1, CD64 and TNF-α levels were predictive factors.

     

/

返回文章
返回