[1]谢琼燕,许环清,叶 文,等.生物标志物预测脓毒症引发急性肾损伤临床研究[J].陕西医学杂志,2023,52(7):880-884.[doi:DOI:10.3969/j.issn.1000-7377.2023.07.024]
 XIE Qiongyan,XU Huanqing,YE Wen,et al.Clinical study of using biomarkers to predict acute kidney injury induced by sepsis[J].,2023,52(7):880-884.[doi:DOI:10.3969/j.issn.1000-7377.2023.07.024]
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生物标志物预测脓毒症引发急性肾损伤临床研究
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《陕西医学杂志》[ISSN:1000-7377/CN:61-1281/TN]

卷:
52
期数:
2023年7期
页码:
880-884
栏目:
临床研究
出版日期:
2023-07-05

文章信息/Info

Title:
Clinical study of using biomarkers to predict acute kidney injury induced by sepsis
作者:
谢琼燕1许环清2叶 文1吴 泽1
(1.中南大学湘雅医学院附属海口医院急诊科,海南 海口 570100; 2.海南省人民医院,海南 海口 570000)
Author(s):
XIE QiongyanXU HuanqingYE WenWU Ze
(Department of Emergency Medicine,Haikou people's Hospital,Central South University Xiangya School of Medicine,Haikou 570100,China)
关键词:
急性肾损伤 生物标志物 脓毒症 胰岛素样生长因子结合蛋白7 金属蛋白酶组织抑制剂2
Keywords:
Acute kidney injury Biomarkers Sepsis Insulin-like growth factor binding protein 7 Tissue inhibitor of metalloproteinases-2
分类号:
R 692
DOI:
DOI:10.3969/j.issn.1000-7377.2023.07.024
文献标志码:
A
摘要:
目的:探讨使用生物标志物预测脓毒症引发急性肾损伤(AKI)的可行性。方法: 683例急性肾损伤患者分为三组,临床诊断为脓毒症的患者(n=213)、感染但无脓毒症的患者(n=120)以及入组时未感染的患者(n=350)。AKI状态在入组后的前3 d内确定,病死率评估自入组后长达9个月。使用逻辑回归模型比较了每个感染组有或没有AKI的患者之间的30 d病死率。比较3个感染组之间或组对之间的一般资料,采用Kruskal-Wallis检验和Cox回归法,对所有患者在9个月内死亡情况进行了分析。结果:综合所有组,脓毒症和 2~3 期 AKI 患者的 30 d病死率为27.7%,在感染且没有脓毒症临床诊断的患者中,2~3 期 AKI 患者的 30 d病死率为34.2%,而没有 2~3 期 AKI 的患者为11.7%。然而,这种差异在无脓毒症感染组中最大,感染或不伴有脓毒症的患者2~3期 AKI(26.8%:27.5%)和 30 d病死率(19.2%:18.3%)的发生率相似。与生物标志物阴性的AKI相比,金属蛋白酶组织抑制剂2(TIMP-2)×胰岛素样生长因子结合蛋白7(IGFBP7)>1(ng/ml)2 /1000的1期患者和(TIMP-2)×(IGFBP7)>2(ng/ml)2 /1000的2~3期患者在各自阶段的生存率都比较低。结论:使用尿液(TIMP-2)×(IGFBP7)检测可以识别感染患者的急性肾损伤,可能有助于早期识别脓毒症引发的急性肾损伤。
Abstract:
Objective:To explore the feasibility of using biomarkers to predict acute kidney injury(AKI)induced by sepsis.Methods:A total of 683 patients were divided into three groups:patients with a clinical diagnosis of sepsis(213 cases),patients with the infection without sepsis(120 cases),and patients without infection at enrollment(350 cases).AKI status was determined within the first 3 days after enrollment,and mortality was assessed up to 9 months after enrollment.Thirty-day mortality was compared between patients with and without AKI in each infection group by using Logistic regression models.The general data among the three infection groups or pairs of groups were compared,and the clinical scientific research intelligent decision-support system of Beijing Dashu Huikang Medical Technology Co.,Ltd.based on Kruskal-Wallis test and Cox regression method was used to analyze the death of all patients within 9 months.Results:For all groups,the 30-day mortality rate was 27.7% for patients with sepsis and stage 2-3 AKI and 34.2% for patients with stage 2-3 AKI among patients with infection and no clinical diagnosis of sepsis,and 11.7% for patients without stage 2-3 AKI.However,this difference was most significant in the group without sepsis infection,with a similar incidence of stage 2-3 AKI(26.8% vs.27.5%)and 30-day mortality(19.2% vs.18.3%)in patients infected or without sepsis.Stage 1 patients with(TIMP-2)×(IGFBP7)>1(ng/ml) 2 /1000 and stage 2-3 patients with(TIMP-2)×(IGFBP7)>2(ng/ml) 2 /1000 had lower survival rates at their respective stages compared to AKI with negative biomarkers.Conclusion:The use of the urine(TIMP-2)×(IGFBP7)test can identify acute kidney injury in infected patients and may help identify sepsis-induced acute kidney injury early.

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备注/Memo

备注/Memo:
基金项目:湖南省自然科学基金资助项目(201922518)
更新日期/Last Update: 2023-07-05