ArticleJournal of the Intensive Care Society2023
A simple mortality prediction model for sepsis patients in intensive care.
Article in Journal of the Intensive Care Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Prediction models for mortality in patients with sepsis: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Prognostic Value of Serum Cortisol, DHEA, and SOFA Score in Adult Sepsis Patients: A Retrospective Single-Center Clinical Study.Journal of clinical medicine · 2026Article
- Validation of SOFA-2 score in sepsis and exploration of its extension with additional immune markers.Journal of intensive medicine · 2026Article
- Predictive validity of daily sequential organ failure assessment (SOFA)-2 score for 30-day mortality.Critical care (London, England) · 2026Observational
- Age- and Sex-Related Outcomes in Patients with Sepsis or Septic Shock: A Prospective Monocentric Cohort Study.Journal of clinical medicine · 2026Article
- Clinical Importance of the Inflammatory Prognostic Index in Patients with Sepsis.Medicina (Kaunas, Lithuania) · 2026Article
- Unlocking the potential of real-time ICU mortality prediction: redefining risk assessment with continuous data recovery.NPJ digital medicine · 2025Article
- Improving Sepsis Mortality Prediction With Machine Learning Using Full Region Synthetic Sampling Approach.Health science reports · 2025Article
- Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.Scientific reports · 2025Article
- Epidemiology, antimicrobial resistance, and risk factors of infection among liver transplant patients: a retrospective study 2010-2023.Microbiology spectrum · 2025Article
- Development of a novel clinical prediction model for sepsis related mortality by combining NEWS, PIRO and lactate.Biomolecules & biomedicine · 2025Article
- Bio inspired feature selection and graph learning for sepsis risk stratification.Scientific reports · 2025Article
- Development and internal validation of a metabolism-related model for predicting 30-day mortality in neonatal sepsis.BMC infectious diseases · 2025Article
- Enhancing SAPS-3 Predictive Accuracy with Initial, Peak, and Last Lactate Measurements in Septic Shock.Journal of clinical medicine · 2024Article
- Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study.Journal of Korean medical science · 2024Article
- Score For Prognosis Assessment In Patients With Infective Endocarditis.Arquivos brasileiros de cardiologia · 2024Article
- Basal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.Diagnostic and prognostic research · 2023Review
- Assessing the Adequacy of a Prediction Model.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineReview
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis is common in the intensive care unit (ICU). Two of the ICU's most widely used mortality prediction models are the Simplified Acute Physiology Score 3 (SAPS-3) and the Sequential Organ Failure Assessment (SOFA) score. We aimed to assess the mortality prediction performance of SAPS-3 and SOFA upon ICU admission for sepsis and find a simpler mortality prediction model for these patients to be used in clinical practice and when conducting studies. Methods: A retrospective study of adult patients fulfilling the Sepsis-3 criteria admitted to four general ICUs was performed. A simple prognostic model was created using backward stepwise multivariate logistic regression. The area under the curve (AUC) of SAPS-3, SOFA and the simple model was assessed. Results: One thousand nine hundred eighty four admissions were included. A simple six-parameter model consisting of age, immunosuppression, Glasgow Coma Scale, body temperature, C-reactive protein and bilirubin had an AUC of 0.72 (95% confidence interval (CI) 0.69-0.75) for 30-day mortality, which was non-inferior to SAPS-3 (AUC 0.75, 95% CI 0.72-0.77) ( Conclusion: SAPS-3 has a lower prognostic value in sepsis than in the general ICU population. SOFA performs less well than SAPS-3. Our simple six-parameter model predicts mortality just as well as SAPS-3 upon ICU admission for sepsis, allowing the design of simple studies and performance monitoring.
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