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Observational Study
Usefulness of combining inflammatory biomarkers and clinical scales in an emergency department to stratify risk in patients with infections.
- Carlota Clemente, Manuel Enrique Fuentes Ferrer, Dolores Ortega Heredia, Agustín Julián Jiménez, Francisco Javier Martín-Sánchez, and Juan González Del Castillo.
- Servicio de Urgencias, Hospital Clínico San Carlos, Madrid, España.
- Emergencias. 2024 Jan 1; 36 (1): 9169-16.
ObjectivesTo determine whether combining biomarkers of inflammatory response and clinical scales can improve risk stratification of patients with suspected infection in a hospital emergency department (ED).Material And MethodsProspective observational study of ED patients treated for infections. We collected the following information on arrival: demographic and baseline clinical data, comorbidities, the focus of infection, and values for the following inflammatory biomarkers: leukocyte counts, and C-reactive protein, procalcitonin, and midregional proadrenomedullin (MR-proADM) concentrations. Scores on the following clinical scales were recorded based on the variables gathered: the SIRS (Systemic Inflammatory Response Syndrome) criteria, the qSOFA (Quick Sequential Organ Failure Assessment), and the NEWS (National Early Warning Score). The main outcome was a composite measure that included 30-day death or need for intensive care unit (ICU) admission.ResultsA total of 473 patients with a mean (SD) age of 70.3 (19.2) years were included. The majority were men (257, 54.3%). Thirty-one (6.6%) died within 30 days and 16 (3.4%) were admitted to the ICU. The composite outcome (death or ICU admission) occurred in 45 patients (9.5%). The MR-proADM concentration, with an area under the receiver operating characteristic curve of 0.739 (95% CI, 0671-0.809) was a better predictor than the other biomarkers or clinical scales, although the differences between MR-proADM and either lactate concentration or the NEWS were not significant in the comparisons (P = .064). Combining the MR-proADM concentration with any of the scales did not significantly improve risk prediction.ConclusionRisk stratification of patients with infection is a key part of ED decision-making. MR-proADM concentration is superior to other biomarkers and clinical prediction scales for predicting short-term prognosis in the ED. Combining MR-proADM measurement with other scales or measures does not improve the yield.
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