Literature DB >> 29605565

Accuracy of quick Sequential Organ Failure Assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria for predicting mortality in hospitalized patients with suspected infection: a meta-analysis of observational studies.

S Maitra1, A Som2, S Bhattacharjee1.   

Abstract

OBJECTIVE: To identify sensitivity, specificity and predictive accuracy of quick sequential organ failure assessment (qSOFA) score and systemic inflammatory response syndrome (SIRS) criteria to predict in-hospital mortality in hospitalized patients with suspected infection.
METHODS: This meta-analysis followed the Meta-analysis of Observational Studies in Epidemiology (MOOSE) group consensus statement for conducting and reporting the results of systematic review. PubMed and EMBASE were searched for the observational studies which reported predictive utility of qSOFA score for predicting mortality in patients with suspected or proven infection with the following search words: 'qSOFA', 'q-SOFA', 'quick-SOFA', 'Quick Sequential Organ Failure Assessment', 'quick SOFA'. Sensitivity, specificity, area under receiver operating characteristic (ROC) curves with 95% confidence interval (CI) of qSOFA and SIRS criteria for predicting in-hospital mortality was collected for each study and a 2 × 2 table was created for each study.
RESULTS: Data of 406 802 patients from 45 observational studies were included in this meta-analysis. Pooled sensitivity (95% CI) and specificity (95% CI) of qSOFA ≥2 for predicting mortality in patients who were not in an intensive care unit (ICU) was 0.48 (0.41-0.55) and 0.83 (0.78-0.87), respectively. Pooled sensitivity (95% CI) of qSOFA ≥2 for predicting mortality in patients (both ICU and non-ICU settings) with suspected infection was 0.56 (0.47-0.65) and pooled specificity (95% CI) was 0.78 (0.71-0.83).
CONCLUSION: qSOFA has been found to be a poorly sensitive predictive marker for in-hospital mortality in hospitalized patients with suspected infection. It is reasonable to recommend developing another scoring system with higher sensitivity to identify high-risk patients with infection.
Copyright © 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mortality; Prognosis; SIRS; Sepsis; qSOFA

Mesh:

Year:  2018        PMID: 29605565     DOI: 10.1016/j.cmi.2018.03.032

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  32 in total

1.  Prognostic Performance of SOFA, qSOFA, and SIRS in Kidney Transplant Recipients Suffering from Infection: A Retrospective Observational Study.

Authors:  Yun-Xia Chen; Ran Li; Li Gu; Kai-Yi Xu; Yong-Zhe Liu; Ren-Wen Zhang
Journal:  Adv Ther       Date:  2020-01-24       Impact factor: 3.845

2.  Derivation of a quick Pitt bacteremia score to predict mortality in patients with Gram-negative bloodstream infection.

Authors:  Sarah E Battle; Matthew R Augustine; Christopher M Watson; P Brandon Bookstaver; Joseph Kohn; William B Owens; Larry M Baddour; Majdi N Al-Hasan
Journal:  Infection       Date:  2019-02-08       Impact factor: 3.553

3.  Performance of SOFA, qSOFA and SIRS to predict septic shock after percutaneous nephrolithotomy.

Authors:  Yonghan Peng; Wei Zhang; Yalong Xu; Ling Li; Weixing Yu; Jianwen Zeng; Shaoxiong Ming; Ziyu Fang; Zeyu Wang; Xiaofeng Gao
Journal:  World J Urol       Date:  2020-04-10       Impact factor: 4.226

4.  The Combined SIRS + qSOFA (qSIRS) Score is More Accurate Than qSOFA Alone in Predicting Mortality in Patients with Surgical Sepsis in an LMIC Emergency Department.

Authors:  S L Green; M T D Smith; C Cairns; D L Clarke; J Bruce; W Bekker; V Kong; G L Laing
Journal:  World J Surg       Date:  2020-01       Impact factor: 3.352

5.  A Prospective Comparison of Quick Sequential Organ Failure Assessment, Systemic Inflammatory Response Syndrome Criteria, Universal Vital Assessment, and Modified Early Warning Score to Predict Mortality in Patients with Suspected Infection in Gabon.

Authors:  Manus Schmedding; Bayode R Adegbite; Susan Gould; Justin O Beyeme; Akim A Adegnika; Martin P Grobusch; Michaëla A M Huson
Journal:  Am J Trop Med Hyg       Date:  2019-01       Impact factor: 2.345

6.  Quick Sequential Organ Failure Assessment as a prognostic factor for infected patients outside the intensive care unit: a systematic review and meta-analysis.

Authors:  Yan-Cun Liu; Yuan-Yuan Luo; Xingyu Zhang; Song-Tao Shou; Yu-Lei Gao; Bin Lu; Chen Li; Yan-Fen Chai
Journal:  Intern Emerg Med       Date:  2019-02-06       Impact factor: 3.397

7.  The Performance of Sepsis-3 Criteria to Predict Mortality Among Patients With Hematologic Malignancy and Post-transplant who Have Suspected Infection.

Authors:  Oryan Henig; Rosemary K B Putler; Owen Albin; Twisha S Patel; Daniel Kaul; Krishna Rao; Keith S Kaye
Journal:  Open Forum Infect Dis       Date:  2021-10-18       Impact factor: 3.835

8.  Comparison of different versions of the quick sequential organ failure assessment for predicting in-hospital mortality of sepsis patients: A retrospective observational study.

Authors:  Hai Hu; Jing-Yuan Jiang; Ni Yao
Journal:  World J Emerg Med       Date:  2022

9.  Predictive Value of SOFA and qSOFA for In-Hospital Mortality in COVID-19 Patients: A Single-Center Study in Romania.

Authors:  Cosmin Citu; Ioana Mihaela Citu; Andrei Motoc; Marius Forga; Oana Maria Gorun; Florin Gorun
Journal:  J Pers Med       Date:  2022-05-26

10.  On classifying sepsis heterogeneity in the ICU: insight using machine learning.

Authors:  Zina M Ibrahim; Honghan Wu; Ahmed Hamoud; Lukas Stappen; Richard J B Dobson; Andrea Agarossi
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

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