ArticleAmerican journal of respiratory and critical care medicine2017
A Two-Biomarker Model Predicts Mortality in the Critically Ill with Sepsis.
Article in American journal of respiratory and critical care medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 75 citations in OpenAlex.
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- Development and validation of an interpretable model for predicting sepsis mortality across care settings.Scientific reports · 2024Article
- Integrated Analysis Identified TGFBI as a Biomarker of Disease Severity and Prognosis Correlated with Immune Infiltrates in Patients with Sepsis.Journal of inflammation research · 2024Article
- Biomarker Signatures of Severe Acute Kidney Injury in a Critically Ill Cohort of COVID-19 and Non-COVID-19 Acute Respiratory Illness.Critical care explorations · 2023Article
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- Risk factors and a prediction model for sepsis: A multicenter retrospective study in China.Journal of intensive medicine · 2022Article
- A combined risk model for the multi-encompassing identification of heterogeneities of prognoses, biological pathway variations and immune states for sepsis patients.BMC anesthesiology · 2022Article
- Weaning Failure in Critically Ill Patients Is Related to the Persistence of Sepsis Inflammation.Diagnostics (Basel, Switzerland) · 2021Article
- Identification of persistent and resolving subphenotypes of acute hypoxemic respiratory failure in two independent cohorts.Critical care (London, England) · 2021Article
- OPG/TRAIL ratio as a predictive biomarker of mortality in patients with type A acute aortic dissection.Nature communications · 2021Observational
- Comparison of host endothelial, epithelial and inflammatory response in ICU patients with and without COVID-19: a prospective observational cohort study.Critical care (London, England) · 2021Observational
- Association Between Red Cell Distribution Width and Hospital Mortality in Patients with Sepsis.The Journal of international medical research · 2021Observational
- A 2-Biomarker Model Augments Clinical Prediction of Mortality in Melioidosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
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Authors and funding
12 authors at 6 institutions in 2 countries.
Funding
Abstract
rationaleImproving the prospective identification of patients with systemic inflammatory response syndrome (SIRS) and sepsis at low risk for organ dysfunction and death is a major clinical challenge.
objectivesTo develop and validate a multibiomarker-based prediction model for 28-day mortality in critically ill patients with SIRS and sepsis.
methodsA derivation cohort (n = 888) and internal test cohort (n = 278) were taken from a prospective study of critically ill intensive care unit (ICU) patients meeting two of four SIRS criteria at an academic medical center for whom plasma was obtained within 24 hours. The validation cohort (n = 759) was taken from a prospective cohort enrolled at another academic medical center ICU for whom plasma was obtained within 48 hours. We measured concentrations of angiopoietin-1, angiopoietin-2, IL-6, IL-8, soluble tumor necrosis factor receptor-1, soluble vascular cell adhesion molecule-1, granulocyte colony-stimulating factor, and soluble Fas. MEASUREMENTS AND MAIN
resultsWe identified a two-biomarker model in the derivation cohort that predicted mortality (area under the receiver operator characteristic curve [AUC], 0.79; 95% confidence interval [CI], 0.74-0.83). It performed well in the internal test cohort (AUC, 0.75; 95% CI, 0.65-0.85) and the external validation cohort (AUC, 0.77; 95% CI, 0.72-0.83). We determined a model score threshold demonstrating high negative predictive value (0.95) for death. In addition to a low risk of death, patients below this threshold had shorter ICU length of stay, lower incidence of acute kidney injury, acute respiratory distress syndrome, and need for vasopressors.
conclusionsWe have developed a simple, robust biomarker-based model that identifies patients with SIRS/sepsis at low risk for death and organ dysfunction.
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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.