Combination biomarkers to diagnose sepsis in the critically ill patient.

ABSTRACT

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 (FcγRI) 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.