ArticleMedicine2019
Combining procalcitonin with the qSOFA and sepsis mortality prediction.
Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Predicting mortality in adult patients with sepsis in the emergency department by using combinations of biomarkers and clinical scoring systems: a systematic review.BMC emergency medicine · 2021Pooled it
- Role of hepatocyte-derived fibrinogen-related protein 1 as a serum biomarker in the diagnosis of community-acquired pneumonia and sepsis: A cross-sectional study.The Journal of international medical research · 2026Observational
- Sepsis as a complex syndrome: Are combined biomarkers the future of diagnosis and prognosis? Clinical perspective.Immunology letters · 2026Review
- Search for novel biomarkers of febrile neutropenia in hematological patients: an overview.Clinical and experimental medicine · 2025Review
- A peptide-based medical device for the selective removal of inflammatory factors from the blood of people with sepsis.Communications medicine · 2025Article
- Article
- Diagnostic utility of sepsis screening tools, procalcitonin, and C-reactive protein in nosocomial fever of unknown origin.World journal of critical care medicine · 2025Article
- A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.International journal of general medicine · 2025Article
- Combining host immune response biomarkers and clinical scores for early prediction of sepsis in infection patients.Annals of medicine · 2024Article
- Survival prediction for heart failure complicated by sepsis: based on machine learning methods.Frontiers in medicine · 2024Article
- Article
- Article
- Article
- Combining C-reactive protein and quick sequential organ failure assessment (qSOFA) to improve prognostic accuracy for sepsis and mortality in adult inpatients: A systematic review.Health science reports · 2023Article
- Article
- Explainable Artificial Intelligence Helps in Understanding the Effect of Fibronectin on Survival of Sepsis.Cells · 2022Article
- SOFA Score Plus Impedance Ratio Predicts Mortality in Critically Ill Patients Admitted to the Emergency Department: Retrospective Observational Study.Healthcare (Basel, Switzerland) · 2022Article
- Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).BMC emergency medicine · 2022Article
- Heparin-binding protein-enhanced quick SOFA score improves mortality prediction in sepsis patients.Frontiers in medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate whether procalcitonin (PCT) can improve the performance of quick sequential organ failure assessment (SOFA) score in predicting sepsis mortality, we conducted a retrospective multicenter cohort study with independent validation in a prospectively collected cohort in 3 tertiary medical centers. Patients with presumed sepsis were included. Serum PCT levels were measured at admission. Quick SOFA score and systemic inflammatory response syndrome (SIRS) criteria were calculated for each patient. PCT levels were assigned into 0, 1, and 2 points for a serum level of <0.25, 0.25 to 2, and >2 ng/mL, and added to the quick sepsis-related organ failure assessment (qSOFA) score. The incremental value of PCT to qSOFA was then evaluated by logistic regression, receiver-operating characteristic (ROC) curve, and reclassification analysis.In all, 1318 patients with presumed severe infection were enrolled with a 30-day mortality of 13.5%. Serum level of PCT showed a high correlation with qSOFA score and 30-day inhospital mortality. The area under the ROC curve was 0.56 for SIRS criteria, 0.67 for qSOFA score, and 0.73 for qSOFA_PCT in predicting 30-day mortality. The risk prediction improvement was reflected by a net reclassification improvement of 35% (17%-52%). Incorporation of PCT into the qSOFA model could raise the sensitivity to 86.5% (95% confidence interval 80.6%-91.2%). In the validation cohort, qSOFA_PCT greatly improved the sensitivity to 90.9%.A simple modification of qSOFA score by adding the ordinal scale of PCT value to qSOFA could greatly improve the suboptimal sensitivity problem of qSOFA and may serve as a quick screening tool for early identification of sepsis.
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