Literature DB >> 29176018

Diagnostic and prognostic value of presepsin vs. established biomarkers in critically ill patients with sepsis or systemic inflammatory response syndrome.

Helena Brodska1, Jiri Valenta2, Kveta Pelinkova1, Zdenek Stach2, Robert Sachl2, Martin Balik2, Tomas Zima1, Tomas Drabek3.   

Abstract

BACKGROUND: Inflammatory biomarkers may aid to distinguish between systemic inflammatory response syndrome (SIRS) vs. sepsis. We tested the hypotheses that (1) presepsin, a novel biomarker, can distinguish between SIRS and sepsis, and (2) higher presepsin levels will be associated with increased severity of illness and (3) with 28-day mortality, outperforming traditional biomarkers.
METHODS: Procalcitonin (PCT), C-reactive protein (CRP), presepsin, and lactate were analyzed in 60 consecutive patients (sepsis and SIRS, n=30 per group) on day 1 (D1) to D3 (onset sepsis, or after cardiac surgery). The systemic organ failure assessment (SOFA) score was determined daily.
RESULTS: There was no difference in mortality in sepsis vs. SIRS (12/30 vs. 8/30). Patients with sepsis had higher SOFA score vs. patients with SIRS (11±4 vs. 8±5; p=0.023), higher presepsin (AUC=0.674; p<0.021), PCT (AUC=0.791; p<0.001), CRP (AUC=0.903; p<0.0001), but not lactate (AUC=0.506; p=0.941). Unlike other biomarkers, presepsin did not correlate with SOFA on D1. All biomarkers were associated with mortality on D1: presepsin (AUC=0.734; p=0.0006; best cutoff=1843 pg/mL), PCT (AUC=0.844; p<0.0001), CRP (AUC=0.701; p=0.0048), and lactate (AUC=0.778; p<0.0001). Multiple regression analyses showed independent associations of CRP with diagnosis of sepsis, and CRP and lactate with mortality. Increased neutrophils (p=0.002) and decreased lymphocytes (p=0.007) and monocytes (p=0.046) were also associated with mortality.
CONCLUSIONS: Presepsin did not outperform traditional sepsis biomarkers in diagnosing sepsis from SIRS and in prognostication of mortality in critically ill patients. Presepsin may have a limited adjunct value for both diagnosis and an early risk stratification, performing independently of clinical illness severity.

Entities:  

Keywords:  biomarker; mortality; outcome; sepsis; soluble cluster of differentiation 14 subtype; systemic inflammatory response syndrome

Mesh:

Substances:

Year:  2018        PMID: 29176018     DOI: 10.1515/cclm-2017-0839

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


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