Literature DB >> 33832292

Biomarkers for the diagnosis of sepsis-associated acute kidney injury: systematic review and meta-analysis.

Yun Xie1, Peijie Huang1, Jiaxiang Zhang1, Rui Tian1, Wei Jin1, Hui Xie1, Jiang Du1, Zhigang Zhou2, Ruilan Wang3.   

Abstract

BACKGROUND: With the development of new techniques, blood and other humoral biomarkers have become increasingly important in the diagnosis of sepsis-associated acute kidney injury (AKI). We aimed to review and summarize the biomarkers associated with the diagnosis of sepsis-associated AKI.
METHODS: We performed a systematic review in PubMed, Embase, Web of Science, Cochrane and CNKI literature databases. Chinese and English articles published before January 30, 2021. We extracted information on the sensitivity and specificity of biomarkers to diagnose sepsis-associated AKI, the sample size of individuals with sepsis-associated AKI, the demographic variables, the diagnostic criteria and the sample acquisition protocol. Revman 5.3 software was used to analyze data. The sources of heterogeneity of included studies main were different diagnostic criteria for sepsis and AKI, time of sample collection and Patients came from different departments. We defined the inclusion of related studies by using PICOs (Patient, Intervention, Comparison and Outcome) criteria, in particular the design of studies to be included. P: Patients of sepsis. I: Patients of sepsis-associated AKI. C: Patients without sepsis-associated AKI. O: Diagnosis of sepsis associated kidney injury.
RESULTS: A total of 1,227 articles, including 42 studies, were identified. Increases in urine and serum neutrophil gelatinase-related lipid carrier protein (NGAL), urinary interleukin-18, urinary Kim-1, urinary netrin-1, urinary sCD163, serum estradiol levels, and serum soluble thrombolytic regulatory protein were most strongly correlated with the diagnosis of sepsis-associated AKI. The SROC of urinary KIM-1 ranked first, followed by the other biomarkers: urinary KIM-1 > urinary NGAL > blood NGAL > urinary IL-18. According to the sample size, the SROC values of urinary NGAL, blood NGAL, urinary IL-18 and urinary KIM-1 were 0.907, 0.857, 0.861 and 0.931, respectively. The sequence was still urinary KIM-1 > urinary NGAL > blood NGAL > urinary IL-18.
CONCLUSIONS: According to the SROC curve area, the diagnostic sequence of sepsis-associated AKI biomarkers was urinary Kim-1 > urinary NGAL > blood NGAL > urinary IL-18. This meta-analysis provided diagnostic features of blood and urine biomarkers based on their association with the diagnosis of sepsis-associated AKI.

Entities:  

Keywords:  Sepsis; acute kidney injury (AKI); biomarkers; diagnosis

Year:  2021        PMID: 33832292     DOI: 10.21037/apm-20-1855

Source DB:  PubMed          Journal:  Ann Palliat Med        ISSN: 2224-5820


  5 in total

1.  Construction and validation of an early warning model for predicting the acute kidney injury in elderly patients with sepsis.

Authors:  Qi Xin; Tonghui Xie; Rui Chen; Hai Wang; Xing Zhang; Shufeng Wang; Chang Liu; Jingyao Zhang
Journal:  Aging Clin Exp Res       Date:  2022-09-02       Impact factor: 4.481

2.  The value of urinary interleukin-18 in predicting acute kidney injury: a systematic review and meta-analysis.

Authors:  Zheng Qin; Hancong Li; Pengcheng Jiao; Luojia Jiang; Jiwen Geng; Qinbo Yang; Ruoxi Liao; Baihai Su
Journal:  Ren Fail       Date:  2022-12       Impact factor: 3.222

3.  Construction and Validation of a Risk Prediction Model for Acute Kidney Injury in Patients Suffering from Septic Shock.

Authors:  Suru Yue; Shasha Li; Xueying Huang; Jie Liu; Xuefei Hou; Yufeng Wang; Jiayuan Wu
Journal:  Dis Markers       Date:  2022-01-06       Impact factor: 3.434

Review 4.  Involvement of Inflammasome Components in Kidney Disease.

Authors:  Ana Karina Aranda-Rivera; Anjali Srivastava; Alfredo Cruz-Gregorio; José Pedraza-Chaverri; Shrikant R Mulay; Alexandra Scholze
Journal:  Antioxidants (Basel)       Date:  2022-01-27

5.  A Predictive Model Based on Inflammatory and Coagulation Indicators for Sepsis-Induced Acute Kidney Injury.

Authors:  Qi Xin; Tonghui Xie; Rui Chen; Xing Zhang; Yingmu Tong; Hai Wang; Shufeng Wang; Chang Liu; Jingyao Zhang
Journal:  J Inflamm Res       Date:  2022-08-11
  5 in total

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