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Midregional pro-atrial natriuretic peptide and procalcitonin improve survival prediction in VAP.

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Author Boeck L, Eggimann P, Smyrnios N, Pargger H, Thakkar N, Siegemund M, Marsch S, Rakic J, Tamm M, Stolz D,
Project Preventing viral exacerbation of chronic obstructive pulmonary disease in upper respiratory tract infection - The PREVENT study
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Original article (peer-reviewed)

Journal The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology
Volume (Issue) 37(3)
Page(s) 595 - 603
Title of proceedings The European respiratory journal : official journal of the European Society for Clinical Respiratory Physiology
DOI 10.1183/09031936.00023810

Abstract

Ventilator-associated pneumonia (VAP) affects mortality, morbidity and cost of critical care. Reliable risk estimation might improve end-of-life decisions, resource allocation and outcome. Several scoring systems for survival prediction have been established and optimised over the last decades. Recently, new biomarkers have gained interest in the prognostic field. We assessed whether midregional pro-atrial natriuretic peptide (MR-proANP) and procalcitonin (PCT) improve the predictive value of the Simplified Acute Physiologic Score (SAPS) II and Sequential Related Organ Failure Assessment (SOFA) in VAP. Specified end-points of a prospective multinational trial including 101 patients with VAP were analysed. Death <28 days after VAP onset was the primary end-point. MR-proANP and PCT were elevated at the onset of VAP in nonsurvivors compared with survivors (p = 0.003 and p = 0.017, respectively) and their slope of decline differed significantly (p = 0.018 and p = 0.039, respectively). Patients with the highest MR-proANP quartile at VAP onset were at increased risk for death (log rank p = 0.013). In a logistic regression model, MR-proANP was identified as the best predictor of survival. Adding MR-proANP and PCT to SAPS II and SOFA improved their predictive properties (area under the curve 0.895 and 0.880). We conclude that the combination of two biomarkers, MR-proANP and PCT, improve survival prediction of clinical severity scores in VAP.
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