ArticleCritical care medicine2018
Combined Biomarkers Predict Acute Mortality Among Critically Ill Patients With Suspected Sepsis.
Article in Critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 35 citations in OpenAlex.
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- Stratified assessment of platelets in sepsis: from dynamic counts to functional phenotypes.Frontiers in immunology · 2026Review
- Recent advances in biomarkers for detection and diagnosis of sepsis and organ dysfunction: a comprehensive review.European journal of medical research · 2025Review
- Hemolysis, hemolytic markers, and mortality in sepsis: a scoping review.Intensive care medicine experimental · 2025Review
- Emergency department early mortality model for patients admitted after presenting to a tertiary medical center emergency department.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025Article
- The diagnostic and prognostic value of antithrombin III activity for sepsis-induced coagulopathy in septic patients: a prospective observational study.Frontiers in medicine · 2025Article
- Risk Factors for Mortality in Critically Ill Patients with Coagulation Abnormalities: A Retrospective Cohort Study.Current medical science · 2024Article
- Fibrinogen Is Associated with Prognosis of Critically Ill Patients with Sepsis: A Study Based on Cox Regression and Propensity Score Matching.Mediators of inflammation · 2023Article
- Biomarker combinations in predicting sepsis in hospitalized children with fever.BMC pediatrics · 2022Article
- Serum haptoglobin concentration and liver enzyme activity as indicators of systemic inflammatory response syndrome and survival of sick calves.Journal of veterinary internal medicine · 2022Article
- Utility of procalcitonin as a predictor of bloodstream infections and supportive modality requirements in critically ill cancer patients.Clinica chimica acta; international journal of clinical chemistry · 2020Article
- Early-StagemSystems · 2020Article
- Fibrinogen as a Prognostic Predictor in Pediatric Patients with Sepsis: A Database Study.Mediators of inflammation · 2020Article
- Performance of prognostic markers in pediatric sepsis.Jornal de pediatriaArticle
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesSepsis is associated with high early and total in-hospital mortality. Despite recent revisions in the diagnostic criteria for sepsis that sought to improve predictive validity for mortality, it remains difficult to identify patients at greatest risk of death. We compared the utility of nine biomarkers to predict mortality in subjects with clinically suspected bacterial sepsis.
designCohort study.
settingThe medical and surgical ICUs at an academic medical center. SUBJECTS: We enrolled 139 subjects who met two or more systemic inflammatory response syndrome (systemic inflammatory response syndrome) criteria and received new broad-spectrum antibacterial therapy.
interventionsWe assayed nine biomarkers (α-2 macroglobulin, C-reactive protein, ferritin, fibrinogen, haptoglobin, procalcitonin, serum amyloid A, serum amyloid P, and tissue plasminogen activator) at onset of suspected sepsis and 24, 48, and 72 hours thereafter. We compared biomarkers between groups based on both 14-day and total in-hospital mortality and evaluated the predictive validity of single and paired biomarkers via area under the receiver operating characteristic curve. MEASUREMENTS AND MAIN
resultsFourteen-day mortality was 12.9%, and total in-hospital mortality was 29.5%. Serum amyloid P was significantly lower (4/4 timepoints) and tissue plasminogen activator significantly higher (3/4 timepoints) in the 14-day mortality group, and the same pattern held for total in-hospital mortality (Wilcoxon p ≤ 0.046 for all timepoints). Serum amyloid P and tissue plasminogen activator demonstrated the best individual predictive performance for mortality, and combinations of biomarkers including serum amyloid P and tissue plasminogen activator achieved greater predictive performance (area under the receiver operating characteristic curve > 0.76 for 14-d and 0.74 for total mortality).
conclusionsCombined biomarkers predict risk for 14-day and total mortality among subjects with suspected sepsis. Serum amyloid P and tissue plasminogen activator demonstrated the best discriminatory ability in this cohort.
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