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.
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.
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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.
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.
Mortality Due to Septic Shock Associated With Thrombocytopenia in the Intensive Care Unit
Evaluation of Presepsin and Syndecan-1 as Biomarkers for Early Diagnosis and Prognosis of Sepsis Following Major Surgeries
Impact of Admission SOFA Score and 48-hour Delta SOFA on Clinical Outcomes in Critically Ill Patients
Effect of Metformin Use on Mortality in Diabetic and Non Diabetic Patients With Sepsis and Septic Shock.
Use of Antimicrobial Drugs in Severe Infections and Epidemiological Study of Populations With Severe Infections
Who cites it
678 citing papers in PubMed, 3 syntheses or guidelines pooled it, 1,236 citations in OpenAlex.
- AI-Based Sepsis Prediction in Hospitalized Adults: Systematic Review, Subgroup Meta-Analysis, and Contextual Analysis of Clinical Burden.Journal of medical Internet research · 2026Pooled it
- Butyrylcholinesterase Activity as a Mortality Marker in ICU Patients: An Individual Participant Data Meta-Analysis.Critical care explorations · 2026Pooled it
- Comparing the Predictive Value of SOFA and SIRS for Mortality in the Early Hours of Hospitalization of Sepsis Patients: A Systematic Review and Meta-analysis.Archives of Iranian medicine · 2024Pooled it
- A phase 2 randomized, placebo-controlled trial of inulin for the prevention of gut pathogen colonization and infection among patients admitted to the intensive care unit for sepsis.Critical care (London, England) · 2025Trial
- From early recognition to precision medicine: advances in the diagnosis and management of adult sepsis and septic shock-a narrative review.Infection · 2026Review
- A machine learning model for in-hospital mortality prediction in patients with sepsis-related myocardial injury.PLOS digital health · 2026Article
- Characteristics associated with culture-positivity versus antibiotic administration in patients with cirrhosis on ICU admission: a retrospective cohort study in 5 hospitals.medRxiv : the preprint server for health sciences · 2026Article
- Development and Validation of an Interpretable Machine Learning Model to Predict Mortality in Patients With Sepsis-Induced Coagulopathy: Multicenter Cohort Study.JMIR medical informatics · 2026Article
- Beyond Traditional Prognostic Scores: Associations of Organ Dysfunction and Metastatic Malignancy with Mortality in Fournier's Gangrene.Diseases (Basel, Switzerland) · 2026Article
- Integrating frailty and acute illness severity scoring for risk stratification in acute geriatric care: Review and practical guide.World journal of critical care medicine · 2026Review
- Comparison of diagnostic criteria for disseminated intravascular coagulation in critically ill children.Pediatric research · 2026Article
- Article
- 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 · 2026Article
- Discrimination performance of the Phoenix sepsis score versus pediatric sequential organ failure assessment for predicting in-hospital mortality in critically ill children: a multicenter external validation study.World journal of pediatrics : WJP · 2026Article
- Prognostic impact of preoperative liver function on outcomes in patients undergoing ImpellaHeart and vessels · 2026Article
- Development of an Explainable Machine Learning Model to Predict Mortality Risk in Sepsis Patients: Insights From a Real-World Clinical Data.Shock (Augusta, Ga.) · 2026Article
- Sepsis-Associated Acute Kidney Injury and 28-Day Mortality in Critically Ill Patients with Sepsis: A Retrospective Cohort Study.Journal of clinical medicine · 2026Article
- Article
- Clinical Features and 1-Year Prognosis of Patients with Suspected Sepsis and Positive Blood Cultures in the Emergency Department: A Single-Center Retrospective Study.Medicina (Kaunas, Lithuania) · 2026Article
- Improved 28-day mortality prediction by combining Lactate Dehydrogenase-to-Albumin Ratio(LAR) to lactate-enhanced Sequential Organ Failure Assessment (SOFA) score in patients with sepsis: a derivation and validation study.BMC infectious diseases · 2026Article
618 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.