Summary

Biological markers for predicting bacterial infection, bacteremia, and severity of infection in the emergency department

Tudela P, Prat C, Lacoma A, Mòdol Deltell JM, Domínguez J, Giménez M, Tor J


Affiliation of the authors

Unitat de Curta Estada-Urgències, Servei de Microbiologia, Servei de Medicina Interna, Hospital Universitari Germans Trias i Pujol, Fundació Institut dInvestigació en Ciències de la Salut Germans Trias i Pujol, Universitat Autonòma de Barcelona, Badalona, Barcelona, Spain. CIBER Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain.

DOI

Quote

Tudela P, Prat C, Lacoma A, Mòdol Deltell JM, Domínguez J, Giménez M, et al. Biological markers for predicting bacterial infection, bacteremia, and severity of infection in the emergency department. Emergencias. 2012;24:348-56

Summary

Objectives: To analyze the utility of using clinical and laboratory variables (C-reactive

protein [CRP], procalcitonin [PCT], proadrenomedullin [proADM] and neopterin

concentrations) as predictors in cases of bacterial infection in an emergency department.

Methods: The patients were enrolled from the emergency department when blood was

extracted for culture. We recorded age; sex; Charlson index, white blood cell count,

presence of band cells, neutrophil count, microbiology findings and CRP, PCT, proADM,

and neopterin concentrations. Severity of infection was defined by a patients admission

to the intensive care unit, death, or emergency surgery. The data were analyzed by

univariate and multivariate analyses; the area under the receiver operating characteristic

curve and diagnostic yield were calculated for each variable.

Results: We included 412 patients with bacterial infection confirmed by microbiology

(28.3%), possible infection not confirmed by microbiology (39.3%), fever of unknown

origin (9.9%), and no bacterial infection (22.3%). Blood cultures were positive in 53

(12.8%) and 34 infections (8.2%) were considered severe. The independent predictors

of bacterial infection were CRP 70 mg/L, PCT 0.4 ng/mL, and presence of band

cells, although diagnostic precision was limited. The independent variables that best

predicted bacteremia were PCT > 1 ng/mL and proADM > 2 nmol/L; these variables had

negative predictive values of 94% and 93%, respectively. The variables that predicted

severity of infection were PCT > 1 ng/mL and proADM > 1.94 nmol/L, which both had

negative predictive values around 96%.

Conclusions: CRP and PCT concentrations and the presence of band cells can suggest

bacterial infection in emergency patients, although the diagnostic value of these markers

is limited. However, the diagnostic yields are high for PCT and proADM concentrations

and these measurements can be useful for ruling out bacteremia and severity of

infection.

 

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