Literature DB >> 25274957

Diagnosis and evaluation of severity of sepsis via the use of biomarkers and profiles of 13 cytokines: a multiplex analysis.

Dong Wook Jekarl, Ji Yeon Kim, Seungok Lee, Myungshin Kim, Yonggoo Kim, Kyungja Han, Seon Hee Woo, Woon Jeong Lee.   

Abstract

BACKGROUND: The object of this study was to evaluate biomarkers for diagnosis of sepsis, hematologic parameters, and cytokine profiles for use in the diagnosis and evaluation of severity of sepsis.
METHODS: We enrolled 127 consecutive patients with systemic inflammatory response syndrome (SIRS), 97 of whom were diagnosed with sepsis. The following biomarkers were evaluated: procalcitonin (PCT); C-reactive protein (CRP); erythrocyte sedimentation rate (ESR); white blood cell count, immature granulocyte (IG) count; and multiplex cytokines, including interleukin (IL)1-β (IL1β), IL2, IL4, IL5, IL6, IL9, IL10, IL12p70, IL13, IL17, IL22, tumor necrosis factor-α (TNFα), and interferon-γ (IFNγ). A cytokine bead immunoassay was used to perform simultaneous measurements.
RESULTS: The disease involving urinary and respiratory tract constituted 57.5% of all patients. The severity of infection was classified as follows: SIRS patients, n=30; sepsis patients, n=81; and septic shock/severe sepsis patients, n=16. PCT, IL6, and CRP had high area under receiver operation characteristic curve (AUCs) and accuracy, which is as follows: PCT: 0.841, 80.5%; IL6: 0.811, 77.1%; CRP: 0.784, 73.8%, respectively. Severity of sepsis could be discriminated by PCT, IL6, and IL5. Unlike other cytokines, IFNγ had an inverse relation with severity of sepsis. The relationship between cytokine profiles and clinical diagnosis of sepsis was unclear.
CONCLUSIONS: PCT, IL6, and CRP values could assist diagnosis, and PCT, IL6, and IL5 had discriminative properties for determination of severity of sepsis. IFNγ revealed a distinct inverse relationship with severity of sepsis. As there was no relationship between cytokine profiles and sepsis, further studies are required to develop clinical applications.

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Year:  2015        PMID: 25274957     DOI: 10.1515/cclm-2014-0607

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


  15 in total

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6.  Inflammatory Mediator Profiles Differ in Sepsis Patients With and Without Bacteremia.

Authors:  Knut Anders Mosevoll; Steinar Skrede; Dagfinn Lunde Markussen; Hans Rune Fanebust; Hans Kristian Flaatten; Jörg Aßmus; Håkon Reikvam; Øystein Bruserud
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Authors:  Xuguang Li; Biqing Yan
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8.  Procalcitonin as a prognostic marker for sepsis based on SEPSIS-3.

Authors:  Dong Wook Jekarl; Seungok Lee; Myungshin Kim; Yonggoo Kim; Seon Hee Woo; Woon Jeong Lee
Journal:  J Clin Lab Anal       Date:  2019-08-16       Impact factor: 2.352

9.  Identification of Predictive Early Biomarkers for Sterile-SIRS after Cardiovascular Surgery.

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Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

10.  Diagnosis and Prognosis of Sepsis Based on Use of Cytokines, Chemokines, and Growth Factors.

Authors:  Dong Wook Jekarl; Ji Yeon Kim; Jick Hwan Ha; Seungok Lee; Jaeeun Yoo; Myungshin Kim; Yonggoo Kim
Journal:  Dis Markers       Date:  2019-09-08       Impact factor: 3.434

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