Performance of early warning assessment tools in predicting the mortality among emergency patients with sepsis:a network Meta-analysis
Sun Songwei
Jiang Qian
Pan Na
Li Xinying
Yang Haipeng
Abstract：Objective To systematically evaluate predictive value of early warning assessment tools in the death of patients with sepsis.Methods The Cochrane Library,Pubmed,Embase,Web of Science,EBSCO,CNKI,WanFang Data and VIP databases were electronically searched to collect the early warning assessment tools for sepsis mortality from inception to September 30,2023.Two reviewers independently screened the literatures,extracted the data and assessed the risk of bias of included studies,then network Meta-analysis was performed by using Stata 16.0 software.Results A total of 16 studies with 16 616 patients involving 7 early warning assessment tools for the mortality were included.The results of the network Meta-analysis showed that sensitivity sorting was SIRS>MEDS>MEWS>NEWS>SOFA>APACHEⅡ>qSOFA,and the specificity sorting was qSOFA>APACHEⅡ>MEWS>NEWS>SIRS>MEDS>SOFA.Subgroup analysis showed that the predictive value of MEDS for septic patients was significantly affected by the age,and the predictive value of qSOFA was affected by the patients'diagnosis.Conclusions Current evidence suggests that SIRS and MEWS have high sensitivity but poor specificity,while qSOFA and APACHEⅡhave strong specificity but poor sensitivity.The predictive value of MEDS in septic patients'mortality is affected by age,and the diagnosis of patients may affect the predictive value of qSOFA.
Keywords：SepsisMortalityEarly warningAssessment toolNetwork Meta-analysis
Publication Date：2024-03-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 239-245 )