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Introduction: The nCD64 receptor, the soluble triggering receptor expressed in myeloid cells (s-TREM-1), and the high mobility group-box 1 protein (HMGB-1) have been proposed as significant mediators in sepsis. Objective: To evaluate the prognostic value of these markers in patients with suspected infection recently admitted in an emergency department (ED). Materials and methods: All patients who presented to the ED with suspected infection were eligible for enrollment in this study. Baseline clinical data, Sequential Organ Failure Assessment score (SOFA) score, APACHE II score, HMGB-1 levels, s-TREM-1 levels, and nCD64 levels were analyzed. The HMGB-1 and sTREM-1 serum concentrations were determined using commercially available ELISA kits, and CD64 on the surface of neutrophils was measured by flow cytometry. Results:. A total of 579 patients with suspected infection as their admission diagnosis were enrolled in this study. The median patient age was 50 years (IQR = 35-68). Morbidity during the 28-day followup period was 11.1% (n=64). The most frequent diagnosis at the time of admission was communityacquired pneumonia (CAP) in 23% (n=133) patients, followed by soft tissue infection in 16.6% (n=96), and urinary tract infection in 15% (n=87). After multivariable analysis, no significant association was identified between any biomarker and 28-day mortality. Conclusion: In the context of a tertiary care hospital emergency department in a Latin-American city, the nCD64 receptor, s-TREM-1, and HMGB-1 biomarkers do not demonstrate prognostic utility in the management of patients with infection. The search continues for more reliable prognostic markers in the early stages of infection.

Introducción. El receptor CD64, receptor soluble ´desencadenador´ expresado en células mieloides (sTREM-1) y la proteína del grupo Box-1 de alta movilidad (HMGB-1), se han propuesto como mediadores en la sepsis. Objetivo. Evaluar el valor pronóstico de estos marcadores en pacientes con sospecha de infección, recientemente admitidos en un departamento de emergencias. Materiales y métodos. Se incluyeron en el estudio pacientes que consultaron al hospital con sospecha de infección. Se analizó la base de datos clínica, el puntaje SOFA, el puntaje APACHE II, los niveles de HMGB-1, los niveles de sTREM-1 y los niveles de nCD64. Se determinaron las concentraciones en suero de HMGB-1 y sTREM-1, usando kits de ELISA disponibles comercialmente, y la de CD64 se midió por citometría de flujo. Resultados. Se analizaron 579 pacientes con sospecha de infección al ingreso. La edad media fue de 50 años (rango intercuartílico=35-68), y 11,1 % (n=64) murieron durante el seguimiento de 28 días. El diagnóstico más frecuente en el momento del ingreso fue neumonía adquirida en la comunidad, en 23 % (n=133) de los pacientes, seguida de infección de tejidos blandos, en 16,6 % (n=96), e infección urinaria, en 15 % (n=87). Después de un análisis multivariado, no hubo asociación significativa entre ningún biomarcador y la mortalidad a los 28 días. Conclusión. Los resultados sugieren que en el contexto de un departamento de emergencias de tercer nivel de una ciudad latinoamericana típica, los tres marcadores evaluados no ofrecieron ninguna ventaja en el pronóstico de infección. La búsqueda de marcadores pronósticos más confiables en estadios tempranos de la infección aún continúa abierta.

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INTRODUCTION: The nCD64 receptor, the soluble triggering receptor expressed in myeloid cells (s-TREM-1), and the high mobility group-box 1 protein (HMGB-1) have been proposed as significant mediators in sepsis. OBJECTIVE: To evaluate the prognostic value of these markers in patients with suspected infection recently admitted in an emergency department (ED). MATERIALS AND METHODS: All patients who presented to the ED with suspected infection were eligible for enrollment in this study. Baseline clinical data, Sequential Organ Failure Assessment score (SOFA) score, APACHE II score, HMGB-1 levels, s-TREM-1 levels, and nCD64 levels were analyzed. The HMGB-1 and sTREM-1 serum concentrations were determined using commercially available ELISA kits, and CD64 on the surface of neutrophils was measured by flow cytometry. RESULTS: . A total of 579 patients with suspected infection as their admission diagnosis were enrolled in this study. The median patient age was 50 years (IQR = 35-68). Morbidity during the 28-day followup period was 11.1% (n=64). The most frequent diagnosis at the time of admission was communityacquired pneumonia (CAP) in 23% (n=133) patients, followed by soft tissue infection in 16.6% (n=96), and urinary tract infection in 15% (n=87). After multivariable analysis, no significant association was identified between any biomarker and 28-day mortality. CONCLUSION: In the context of a tertiary care hospital emergency department in a Latin-American city, the nCD64 receptor, s-TREM-1, and HMGB-1 biomarkers do not demonstrate prognostic utility in the management of patients with infection. The search continues for more reliable prognostic markers in the early stages of infection.

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PURPOSE: The aim of the study was to determine whether C-reactive protein (CRP), procalcitonin (PCT), and d-dimer (DD) are markers of mortality in patients admitted to the emergency department (ED) with suspected infection and sepsis. BASIC PROCEDURES: We conducted a prospective cohort in a university hospital in Medellín, Colombia. Patients were admitted between August 1, 2007, and January 30, 2009. Clinical and demographic data and Acute Physiology and Chronic Health Evaluation II and Sepsis Organ Failure Assessment scores as well as blood samples for CRP, PCT, and DD were collected within the first 24 hours of admission. Survival was determined on day 28 to establish its association with the proposed biomarkers using logistic regression and receiver operating characteristic curves. MAIN FINDINGS: We analyzed 684 patients. The median Acute Physiology and Chronic Health Evaluation II and Sepsis Organ Failure Assessment scores were 10 (interquartile range [IQR], 6-15) and 2 (IQR, 1-4), respectively. The median CRP was 9.6 mg/dL (IQR, 3.5-20.4 mg/dL); PCT, 0.36 ng/mL (IQR, 0.1-3.7 ng/mL); and DD, 1612 ng/mL (IQR, 986-2801 ng/mL). The median DD in survivors was 1475 ng/mL (IQR, 955-2627 ng/mL) vs 2489 ng/mL (IQR, 1698-4573 ng/mL) in nonsurvivors (P=.0001). The discriminatory ability showed area under the curve-receiver operating characteristic for DD, 0.68; CRP, 0.55; and PCT, 0.59. After multivariate analysis, the only biomarker with a linear relation with mortality was DD, with an odds ratio of 2.07 (95% confidence interval, 0.93-4.62) for values more than 1180 and less than 2409 ng/mL and an odds ratio of 3.03 (95% confidence interval, 1.38-6.62) for values more than 2409 ng/mL. PRINCIPAL CONCLUSIONS: Our results suggest that high levels of DD are associated with 28-day mortality in patients with infection or sepsis identified in the emergency department.

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OBJECTIVES: The objectives were to evaluate the diagnostic accuracy for sepsis in an emergency department (ED) population of the cluster of differentiation-64 (CD64) glycoprotein expression on the surface of neutrophils (nCD64), serum levels of soluble triggering receptor expressed on myeloid cells-1 (s-TREM-1), and high-mobility group box-1 protein (HMGB-1). METHODS: Patients with any of the following as admission diagnosis were enrolled: 1) suspected infection, 2) fever, 3) delirium, or 4) acute hypotension of unexplained origin within 24 hours of ED presentation. Levels of nCD64, HMGB-1, and s-TREM-1 were measured within the first 24 hours of the first ED evaluation. Baseline clinical data, Sepsis-related Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation (APACHE II) score, daily clinical and microbiologic information, and 28-day mortality rate were collected. Because there is not a definitive criterion standard for sepsis, the authors used expert consensus based on clinical, microbiologic, laboratory, and radiologic data collected for each patient during the first 7 days of hospitalization. This expert consensus defined the primary outcome of sepsis, and the primary data analysis was based in the comparison of sepsis versus nonsepsis patients. The cut points to define sensitivity and specificity values, as well as positive and negative likelihood ratios (LRs) for the markers related to sepsis diagnosis, were determined using receiver operative characteristics (ROC) curves. The patients in this study were a prespecified nested subsample population of a larger study. RESULTS: Of 631 patients included in the study, 66% (95% confidence interval [CI] = 62% to 67%, n = 416) had sepsis according with the expert consensus diagnosis. Among these sepsis patients, SOFA score defined 67% (95% CI = 62% to 71%, n = 277) in severe sepsis and 1% (95% CI = 0.3% to 3%, n = 6) in septic shock. The sensitivities for sepsis diagnosis were CD64, 65.8% (95% CI = 61.1% to 70.3%); HMGB-1, 57.5% (95% CI = 52.7% to 62.3%); and s-TREM-1, 60% (95% CI = 55.2% to 64.7%). The specificities were CD64, 64.6% (95% CI = 57.8% to 70.8%), HMGB-1, 57.8% (95% CI = 51.1% to 64.3%), and s-TREM-1, 59.2% (95% CI = 52.5% to 65.6%). The positive LR (LR+) for CD64 was 1.85 (95% CI = 1.52 to 2.26) and the negative LR (LR-) was 0.52 (95% CI = 0.44 to 0.62]; for HMGB-1 the LR+ was 1.36 (95% CI = 1.14 to 1.63) and LR- was 0.73 (95% CI = 0.62 to 0.86); and for s-TREM-1 the LR+ was 1.47 (95% CI = 1.22 to 1.76) and the LR- was 0.67 (95% CI = 0.57 to 0.79). CONCLUSIONS: In this cohort of patients suspected of having any infection in the ED, the accuracy of nCD64, s-TREM-1, and HMGB-1 was not significantly sensitive or specific for diagnosis of sepsis.

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Objetivo: estimar el número esperado de pacientes con trauma en los servicios de hospitalización, cirugía y unidad de cuidados intensivos y en la condición de egreso vivo y muerto, luego de ingresar por urgencias a un hospital de tercer nivel de complejidad. Materiales y métodos: con base en la información derivada de un estudio de seguimiento con 2.084 registros correspondientes a ingresos a urgencias por trauma en un hospital de tercer nivel de complejidad, se estimó la matriz de probabilidades de transición y el número esperado de pacientes en cada estado en una unidad de tiempo de 12 horas para todas las cohortes de pacientes, mediante el análisis de cadenas de Markov. Resultados: se obtuvo un análisis de sensibilidad para la probabilidad de permanecer en el servicio de cirugía y de ser trasladado de la unidad de cuidados intensivos a hospitalización. Conclusión: el modelo utilizado es adecuado para la reproducción de lo observado y puede utilizarse para predecir configuraciones observables si se conoce el ritmo de ingreso de las cohortes de pacientes o si se tiene un modelo teórico para ellas

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