Literature DB >> 26281323

Diagnostic and prognostic value of procalcitonin and sTREM-1 levels in sepsis.

Bayram Halim, Tünger Özlem, Çivi Melek, Yüceyar Münip Hakan, Ulman Cevval, Dinç Horasan Gönül, Çetin Çiğdem Banu.   

Abstract

BACKGROUND/AIM: Sepsis is still a major cause of morbidity and mortality despite the improvements in diagnosis and treatment. The aim of this study was to investigate the values of procalcitonin and soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) in the differential diagnosis of patients with sepsis and noninfectious systemic inflammatory response syndrome (NI-SIRS) and measure their importance in the prognosis of patients with sepsis.
MATERIALS AND METHODS: This prospective study included 41 NI-SIRS and 33 sepsis patients hospitalized in Celal Bayar University Hospital, Manisa, Turkey. Blood samples were taken from NI-SIRS patients on days 0 and 3 and from sepsis patients on days 0, 3, 4, 7, and 14. Clinical status of the patients was determined with the SOFA scoring system.
RESULTS: The SOFA scoring system and procalcitonin and sTREM-1 measurements were significant in the differential diagnosis of sepsis and NI-SIRS patients. The SOFA scoring system was considered the most important indicator in determining the prognosis of sepsis patients. Procalcitonin and sTREM-1 levels increased progressively in nonsurvivors and decreased in survivors, but changes were statistically insignificant.
CONCLUSION: In the differentiation of sepsis and NI-SIRS, and evaluation of the prognosis of sepsis, combined measurements of procalcitonin and sTREM-1 levels are important.

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Year:  2015        PMID: 26281323

Source DB:  PubMed          Journal:  Turk J Med Sci        ISSN: 1300-0144            Impact factor:   0.973


  8 in total

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4.  Procalcitonin and D-dimer for Predicting 28-Day-Mortality Rate and Sepsis Severity based on SOFA Score; A Cross-sectional Study.

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6.  Diagnostic value of serum soluble triggering expressed receptor on myeloid cells 1 (sTREM-1) in suspected sepsis: a meta-analysis.

Authors:  Wei Chang; Fei Peng; Shan-Shan Meng; Jing-Yuan Xu; Yi Yang
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  8 in total

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