A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis
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Open Access
- 15 April 2022
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 17 (4) , e0266755
Abstract
Objective: To identify and compare prognostic accuracy of quick Sequential Organ Failure Assessment (qSOFA) score, Systemic Inflammatory Response Syndrome (SIRS) criteria, and National Early Warning Score (NEWS) to predict mortality in patients with suspected sepsis.Methods: This meta-analysis followed accordance with the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We searched PubMed, EMBASE, Web of Science, and the Cochrane Library databases from establishment of the database to November 29, 2021. The pooled sensitivity and specificity with 95% CIs were calculated using a bivariate random-effects model (BRM). Hierarchical summary receiver operating characteristic (HSROC) curves were generated to assess the overall prognostic accuracy.Results: Data of 62338 patients from 26 studies were included in this meta-analysis. qSOFA had the highest specificity and the lowest sensitivity with a specificity of 0.82 (95% CI: 0.76–0.86) and a sensitivity of 0.46 (95% CI: 0.39–0.53). SIRS had the highest sensitivity and the lowest specificity with a sensitivity of 0.82 (95% CI: 0.78–0.85) and a specificity 0.24 (95% CI: 0.19–0.29). NEWS had both an intermediate sensitivity and specificity with a sensitivity of 0.73 (95% CI: 0.63–0.81) and a specificity 0.52 (95% CI: 0.39–0.65). qSOFA showed higher overall prognostic accuracy than SIRS and NEWS by comparing HSROC curves.Conclusions: Among qSOFA, SIRS and NEWS, qSOFA showed higher overall prognostic accuracy than SIRS and NEWS. However, no scoring system has both high sensitivity and specificity for predicting the accuracy of mortality in patients with suspected sepsis.Keywords
Funding Information
- The Chongqing Health Committee (No. 2021MSXM255)
- The Army Medical University (No. 2019XLC 3035)
This publication has 44 references indexed in Scilit:
- Systemic Inflammatory Response Syndrome, Quick Sequential Organ Function Assessment, and Organ DysfunctionChest, 2017
- The new sepsis consensus definitions: the good, the bad and the uglyIntensive Care Medicine, 2016
- New Sepsis CriteriaChest, 2016
- The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)JAMA, 2016
- Assessment of Clinical Criteria for SepsisJAMA, 2016
- The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and deathResuscitation, 2013
- QUADAS-2: A Revised Tool for the Quality Assessment of Diagnostic Accuracy StudiesAnnals of Internal Medicine, 2011
- Bias in Sensitivity and Specificity Caused by Data-Driven Selection of Optimal Cutoff Values: Mechanisms, Magnitude, and SolutionsClinical Chemistry, 2008
- 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions ConferenceCritical Care Medicine, 2003
- Definitions for Sepsis and Organ Failure and Guidelines for the Use of Innovative Therapies in SepsisChest, 1992