Combination Biomarkers to Diagnose Sepsis in the Critically Ill Patient
العنوان: | Combination Biomarkers to Diagnose Sepsis in the Critically Ill Patient |
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المؤلفون: | Damien Barraud, Marcelo De Carvalho Bittencourt, Gilbert Faure, Robin Noel, Frédéric Massin, Julien Guy, Pierre-Edouard Bollaert, Jean-Pierre Quenot, Aurélie Cravoisy, Marie C. Béné, Sébastien Gibot, Pierre-Emmanuel Charles |
المساهمون: | Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Université de Lorraine (UL), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Laboratoire d'Hématologie, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement |
المصدر: | American Journal of Respiratory and Critical Care Medicine American Journal of Respiratory and Critical Care Medicine, American Thoracic Society, 2012, 186 (1), pp.65-71. ⟨10.1164/rccm.201201-0037OC⟩ |
بيانات النشر: | American Thoracic Society, 2012. |
سنة النشر: | 2012 |
مصطلحات موضوعية: | Calcitonin, Pulmonary and Respiratory Medicine, medicine.medical_specialty, diagnostic biomarker, Myeloid, medicine.drug_class, Calcitonin Gene-Related Peptide, Critical Illness, [SDV]Life Sciences [q-bio], Antibiotics, Critical Care and Intensive Care Medicine, Procalcitonin, sepsis, Sepsis, 03 medical and health sciences, 0302 clinical medicine, Predictive Value of Tests, Internal medicine, Humans, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Medicine, Myeloid Cells, CD64, Prospective Studies, Protein Precursors, Receptors, Immunologic, Intensive care medicine, Prospective cohort study, 030304 developmental biology, 0303 health sciences, Membrane Glycoproteins, business.industry, Receptors, IgG, 030208 emergency & critical care medicine, medicine.disease, sTREM-1, Triggering Receptor Expressed on Myeloid Cells-1, 3. Good health, Logistic Models, medicine.anatomical_structure, ROC Curve, Predictive value of tests, [SDE]Environmental Sciences, Biomarker (medicine), business, Biomarkers, procalcitonin |
الوصف: | EA MERS; Rationale: Although the outcome of sepsis benefits from the prompt administration of appropriate antibiotics on correct diagnosis, the assessment of infection in critically ill patients is often a challenge for clinicians. In this setting, simple biomarkers, especially when used in combination, could prove useful. Objectives: To determine the usefulness of combination biomarkers to diagnose sepsis. Methods: Three hundred consecutive patients were enrolled to construct a biologic score that was next validated in an independent prospective cohort of 79 critically ill patients from another center. Measurement and Main Results: Plasma concentrations of soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) and procalcitonin (PCT) were assayed, and the expression of the high-affinity immunoglobulin-Fc fragment receptor I (Fc gamma RI) CD64 on neutrophils (polymorphonuclear [PMN] CD64 index) in flow cytometry was measured. A "bioscore" combining these biomarkers was constructed. Serum concentrations of PCT and sTREM-1 and the PMN CD64 index were higher in patients with sepsis compared with all others (P < 0.001 for the three markers). These biomarkers were all independent predictors of infection, the best receiver-operating characteristic curve being obtained for the PMN CD64 index. The performance of the bioscore, better than that of each individual biomarker, was externally confirmed in the validation cohort. Conclusions: This prospective study, including inceptive and validation cohorts of unselected intensive care unit patients, demonstrates the high performance of a bioscore combining the PMN CD64 index together with PCT and sTREM-1 serum levels in diagnosing sepsis in the critically ill patient. |
تدمد: | 1535-4970 1073-449X |
DOI: | 10.1164/rccm.201201-0037oc |
DOI: | 10.1164/rccm.201201-0037OC⟩ |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6945b48d772cf25b3d4ca51405abf2 https://doi.org/10.1164/rccm.201201-0037oc |
رقم الانضمام: | edsair.doi.dedup.....dd6945b48d772cf25b3d4ca51405abf2 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15354970 1073449X |
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DOI: | 10.1164/rccm.201201-0037oc |