Title |
Diagnostic and prognostic value of soluble CD14 subtype (Presepsin) for sepsis and community-acquired pneumonia in ICU patients
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Published in |
Annals of Intensive Care, July 2016
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DOI | 10.1186/s13613-016-0160-6 |
Pubmed ID | |
Authors |
Kada Klouche, Jean Paul Cristol, Julie Devin, Vincent Gilles, Nils Kuster, Romaric Larcher, Laurent Amigues, Philippe Corne, Olivier Jonquet, Anne Marie Dupuy |
Abstract |
The soluble CD14 subtype, Presepsin, appears to be an accurate sepsis diagnostic marker, but data from intensive care units (ICUs) are scarce. This study was conducted to evaluate the diagnostic and prognostic value of Presepsin in ICU patients with severe sepsis (SS), septic shock (SSh) and severe community-acquired pneumonia (sCAP). Presepsin and procalcitonin (PCT) levels were determined for patients at admission to ICU. Four groups have been differentiated: (1) absence or (2) presence of systemic inflammatory response syndrome, (3) SS or (4) SSh; and 2 groups, among the patients admitted for acute respiratory failure: absence or presence of sCAP. Biomarkers were tested for diagnosis of SS, SSh and sCAP and for prediction of ICU mortality. One hundred and forty-four patients were included: 44 SS and 56 SSh. Plasma levels of Presepsin and PCT were significantly higher in septic than in non-septic patients and in SSh as compared to others. The sepsis diagnostic accuracy of Presepsin was not superior to that of PCT (AUC: 0.75 vs 0.80). In the 72/144 patients admitted for acute respiratory failure, the capability of Presepsin to diagnose sCAP was significantly better than PCT. Presepsin levels were also predictive of ICU mortality in sepsis and in sCAP patients. Plasma levels of Presepsin were useful for the diagnosis of SS, SSh and sCAP and may predict ICU mortality in these patients. |
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Geographical breakdown
Country | Count | As % |
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Egypt | 1 | 1% |
Unknown | 99 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 13% |
Researcher | 12 | 12% |
Student > Bachelor | 10 | 10% |
Student > Ph. D. Student | 9 | 9% |
Student > Doctoral Student | 9 | 9% |
Other | 23 | 23% |
Unknown | 24 | 24% |
Readers by discipline | Count | As % |
---|---|---|
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Biochemistry, Genetics and Molecular Biology | 9 | 9% |
Immunology and Microbiology | 4 | 4% |
Nursing and Health Professions | 2 | 2% |
Computer Science | 2 | 2% |
Other | 8 | 8% |
Unknown | 25 | 25% |