| 张 琪,姜 利,席修明,费雅楠,王 鹏,姜 琦.血清TRAF-6、MCP-1、sTREM-1、IL-33水平与脓毒症严重程度及与合并急性肾损伤关系的临床分析[J].,2019,19(23):4440-4444 |
| 血清TRAF-6、MCP-1、sTREM-1、IL-33水平与脓毒症严重程度及与合并急性肾损伤关系的临床分析 |
| Clinical Analysis of the Relationship between Serum TRAF-6, MCP-1, sTREM-1, IL-33 and Severity of Sepsis and Acute Kidney Injury |
| 投稿时间：2019-03-18 修订日期：2019-04-15 |
| DOI：10.13241/j.cnki.pmb.2019.23.009 |
| 中文关键词: 脓毒症 急性肾损伤 TRAF-6 MCP-1 sTREM-1 |
| 英文关键词: Sepsis Acute kidney injury TRAF-6 MCP-1 sTREM-1 |
| 基金项目:国家科技支撑计划项目(2012BAI11B05) |
|
| 摘要点击次数: 868 |
| 全文下载次数: 424 |
| 中文摘要: |
| 摘要 目的：探讨脓毒症患者血清肿瘤坏死因子受体相关因子(Tumor necrosis factor receptor-related factor，TRAF)-6、单核细胞趋化蛋白(Monocyte chemotactic protein，MCP)-1、可溶性髓样细胞触发受体(Soluble myeloid cell trigger receptor，sTREM)-1、白介素(Interleukin，IL)-33水平的变化及与病情严重程度及合并急性肾损伤(acute kidney injury, AKI)的相关性。方法：选择2014年2月到2018年7月在我医院ICU病房进行诊治的脓毒症患者145例，分析脓毒症相关性急性肾损伤(sepsis-associated AKI，SAKI)的发生情况，比较SAKI和非SAKI患者血清TRAF-6、MCP-1、sTREM-1、IL-33水平，采用Pearson相关分析血清TRAF-6、MCP-1、sTREM-1、IL-33含量与APACHE Ⅱ评分、SOFA评分的相关性，多因素logistic回归分析脓毒症患者发生SAKI的影响因素。结果：在145例患者中，发生SAKI者69例，发生率为47.6%。SAKI组患者的年龄、性别、原发病、白细胞(white blood cell，WBC)计数、C反应蛋白(C reactive protein，CRP)、降钙素原(procalcitonin，PCT)、体重指数、BUN、Scr与eGFR值与非SAKI组患者对比差异均无统计学意义(P<0.05)。SAKI组患者APACHE Ⅱ评分、SOFA评分血清TRAF-6、MCP-1、sTREM-1、IL-33含水平含量均显著高于非SAKI组患者(P<0.05)。Pearson相关性分析显示血清TRAF-6、MCP-1、sTREM-1、IL-33水平与SAKI患者的急性生理和慢性健康Ⅱ(acute physiology and chronic health evaluation II，APACHE Ⅱ)评分、序贯多器官功能障碍(sequential organ failure assessment，SOFA)评分均呈显著正相关性(P<0.05)。logistic回归分析显示血清TRAF-6、MCP-1、sTREM-1、IL-33水平升高均为影响SAKI发生的独立危险因素(P<0.05)。结论：血清TRAF-6、MCP-1、sTREM-1、IL-33水平与脓毒症严重程度显著相关，可能作为诊断和治疗SAKI的参考指标及干预靶点。 |
| 英文摘要: |
| ABSTRACT Objective: To investigate the changes of tumor necrosis factor receptor-related factor (TRAF)-6, monocyte chemotactic protein (MCP)-1, soluble myeloid cell triggering receptor (sTREM)-1, interleukin (IL)-33 levels in patients with sepsis and their correlation with the severity of disease and acute kidney injury (AKI). Methods: A total of 145 patients with sepsis who were treated in the ICU ward of our hospital from February 2014 to July 2018 were enrolled. The incidence of sepsis-associated acute kidney injury (SAKI) were analyzed. SAKI were compared. Serum levels of TRAF-6, MCP-1, sTREM-1, and IL-33 in patients with non-SAKI, and Pearson correlation analysis of serum TRAF-6, MCP-1, sTREM-1, IL-33 and APACHE II scores, SOFA scores Correlation, multivariate logistic regression analysis of the influencing factors of SAKI in patients with sepsis. Results: Of the 145 patients, 69 had SAKI, an incidence of 47.6%. Age, gender, primary disease, white blood cell (WBC) count, C reactive protein (CRP), procalcitonin (PCT), body mass index, BUN, Scr and There were no significant difference between the eGFR value and the non-SAKI group (P<0.05). The APACHE II score, SOFA score, serum TRAF-6, MCP-1, sTREM-1, and IL-33 levels in the SAKI group were significantly higher than those in the non-SAKI group(P<0.05). Pearson correlation analysis showed serum TRAF-6, MCP-1, sTREM-1, IL-33 levels and acute physiology and chronic health evaluation II (APACHE II) scores in SKI patients, sequential multiple organs Sequential organ failure assessment (SOFA) scores were significantly positively correlated (P<0.05). Logistic regression analysis showed that elevated levels of serum TRAF-6, MCP-1, sTREM-1, and IL-33 were independent risk factors for SAKI (P<0.05). Conclusion: The serum TRAF-6, MCP-1, sTREM-1, and IL-33 levels were significantly associated with the severity of sepsis and may serve as references for the diagnosis and treatment of SAKI. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
