Evidence map›Paper›PMID 28114553›Full record

ArticleJAMA2017

Prognostic Accuracy of the SOFA Score, SIRS Criteria, and qSOFA Score for In-Hospital Mortality Among Adults With Suspected Infection Admitted to the Intensive Care Unit.

Eamon P Raith, Andrew A Udy, Michael Bailey, Steven McGloughlin, Christopher MacIsaac, Rinaldo Bellomo, David V Pilcher, Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE)

5 registry-linked trialsAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in JAMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 678 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
678citing papers in PubMed, 3 pooled it
74.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03617965 unknown statusnot on this mapstarted 2018, after this paper: background citation

Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit

TypeobservationalSponsorUniversidad de GuanajuatoRan2018 to 2019Enrolled350ConditionsThrombocytopenia, Septic Shock, Sepsis BacterialArmsPlatelet count
NCT04718623 unknown statusnot on this mapstarted 2021, after this paper: background citation

Evaluation of Presepsin and Syndecan-1 as Biomarkers for Early Diagnosis and Prognosis of Sepsis Following Major Surgeries

TypeobservationalSponsorAlexandria UniversityRan2021 to 2022Enrolled30ConditionsSepsis Following A Procedure, Diagnoses, Syndromes, and ConditionsArmsQuantitative determination of serum Presepsin (sCD-14), and Syndecan-1 concentrations
NCT04980274 completednot on this mapstarted 2020, after this paper: background citation

Impact of Admission SOFA Score and 48-hour Delta SOFA on Clinical Outcomes in Critically Ill Patients

TypeobservationalSponsorHospital Sao DomingosRan2020 to 2020Enrolled1,410ConditionsCritically Ill PatientsArmsIntervention focused on identified organ dysfunction(s)
NCT05572060 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Effect of Metformin Use on Mortality in Diabetic and Non Diabetic Patients With Sepsis and Septic Shock.

TypeinterventionalSponsorAssiut UniversityRan2022 to 2025Enrolled75ConditionsSeptic ShockArmsMetformin, standardized protocol
NCT07465003 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Use of Antimicrobial Drugs in Severe Infections and Epidemiological Study of Populations With Severe Infections

TypeobservationalSponsorThe Second Affiliated Hospital of Chongqing Medical UniversityRan2026 to 2028Enrolled1,600ConditionsCirrhosis, Sepsis
3 · Its place in the literature

Who cites it

678 citing papers in PubMed, 3 syntheses or guidelines pooled it, 1,236 citations in OpenAlex.

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  13. Risk factors associated with apyrexia during bacteraemia: a prospective multicenter cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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618 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Eamon P RaithDepartment of Intensive Care and Hyperbaric Medicine, Alfred Hospital, Prahran, Melbourne, Australia2Discipline of Surgery, School of Medicine, University of Adelaide, Adelaide, Australia.
Andrew A UdyDepartment of Intensive Care and Hyperbaric Medicine, Alfred Hospital, Prahran, Melbourne, Australia3Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Melbourne, Australia.
Michael BaileyAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Melbourne, Australia.
Steven McGloughlinDepartment of Intensive Care and Hyperbaric Medicine, Alfred Hospital, Prahran, Melbourne, Australia3Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Melbourne, Australia4Department of Infectious Diseases, Alfred Hospital, Prahran, Melbourne, Australia.
Christopher MacIsaacDepartment of Intensive Care, Royal Melbourne Hospital, Parkville, Melbourne, Australia6University of Melbourne, Parkville, Melbourne, Australia.
Rinaldo BellomoAustralian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Melbourne, Australia5Department of Intensive Care, Royal Melbourne Hospital, Parkville, Melbourne, Australia6University of Melbourne, Parkville, Melbourne, Australia7Intensive Care Unit, Austin Hospital, Heidelberg, Melbourne, Australia.
David V PilcherDepartment of Intensive Care and Hyperbaric Medicine, Alfred Hospital, Prahran, Melbourne, Australia3Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, Alfred Hospital, Prahran, Melbourne, Australia8Centre for Outcome and Resource Evaluation, Australian and New Zealand Intensive Care Society, Melbourne, Australia.
Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes and Resource Evaluation (CORE)
The Alfred Hospital · AUMonash University · AUThe Royal Melbourne Hospital · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The Sepsis-3 Criteria emphasized the value of a change of 2 or more points in the Sequential [Sepsis-related] Organ Failure Assessment (SOFA) score, introduced quick SOFA (qSOFA), and removed the systemic inflammatory response syndrome (SIRS) criteria from the sepsis definition. Objective: Externally validate and assess the discriminatory capacities of an increase in SOFA score by 2 or more points, 2 or more SIRS criteria, or a qSOFA score of 2 or more points for outcomes among patients who are critically ill with suspected infection. Design, Setting, and Participants: Retrospective cohort analysis of 184 875 patients with an infection-related primary admission diagnosis in 182 Australian and New Zealand intensive care units (ICUs) from 2000 through 2015. Exposures: SOFA, qSOFA, and SIRS criteria applied to data collected within 24 hours of ICU admission. Main Outcomes and Measures: The primary outcome was in-hospital mortality. In-hospital mortality or ICU length of stay (LOS) of 3 days or more was a composite secondary outcome. Discrimination was assessed using the area under the receiver operating characteristic curve (AUROC). Adjusted analyses were performed using a model of baseline risk determined using variables independent of the scoring systems. Results: Among 184 875 patients (mean age, 62.9 years [SD, 17.4]; women, 82 540 [44.6%]; most common diagnosis bacterial pneumonia, 32 634 [17.7%]), a total of 34 578 patients (18.7%) died in the hospital, and 102 976 patients (55.7%) died or experienced an ICU LOS of 3 days or more. SOFA score increased by 2 or more points in 90.1%; 86.7% manifested 2 or more SIRS criteria, and 54.4% had a qSOFA score of 2 or more points. SOFA demonstrated significantly greater discrimination for in-hospital mortality (crude AUROC, 0.753 [99% CI, 0.750-0.757]) than SIRS criteria (crude AUROC, 0.589 [99% CI, 0.585-0.593]) or qSOFA (crude AUROC, 0.607 [99% CI, 0.603-0.611]). Incremental improvements were 0.164 (99% CI, 0.159-0.169) for SOFA vs SIRS criteria and 0.146 (99% CI, 0.142-0.151) for SOFA vs qSOFA (P <.001). SOFA (AUROC, 0.736 [99% CI, 0.733-0.739]) outperformed the other scores for the secondary end point (SIRS criteria: AUROC, 0.609 [99% CI, 0.606-0.612]; qSOFA: AUROC, 0.606 [99% CI, 0.602-0.609]). Incremental improvements were 0.127 (99% CI, 0.123-0.131) for SOFA vs SIRS criteria and 0.131 (99% CI, 0.127-0.134) for SOFA vs qSOFA (P <.001). Findings were consistent for both outcomes in multiple sensitivity analyses. Conclusions and Relevance: Among adults with suspected infection admitted to an ICU, an increase in SOFA score of 2 or more had greater prognostic accuracy for in-hospital mortality than SIRS criteria or the qSOFA score. These findings suggest that SIRS criteria and qSOFA may have limited utility for predicting mortality in an ICU setting.

Indexed as

Hospital MortalityOrgan Dysfunction ScoresSystemic Inflammatory Response SyndromeAdultArea Under CurveAustraliaFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedNew ZealandPneumonia, BacterialPrognosisRetrospective Studies

Identifiers

PMID28114553
OpenAlexW2580821343

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.