Literature DB >> 21805087

Biomarkers for the differentiation of sepsis and SIRS: the need for the standardisation of diagnostic studies.

T C Hall1, D K Bilku, D Al-Leswas, C Horst, A R Dennison.   

Abstract

INTRODUCTION: Sepsis is a leading cause of death in the critically ill patient. It is a heterogeneous disease and it is frequently difficult to make an unequivocal and expeditious diagnosis. The current 'gold standard' in diagnosing sepsis is the blood culture but this is only available after a significant time delay. Mortality rates from sepsis remain high, however, the introduction of sepsis care bundles in its management has produced significant improvements in patient outcomes. Central to goal-directed resuscitation is the timely and accurate diagnosis of sepsis. The rapid diagnosis and commencement of the appropriate therapies has been shown to reduce the mortality.
MATERIALS AND METHODS: Biomarkers are already used in clinical practice to aid other more traditional diagnostic tests. In the absence of an adequate gold standard to diagnose sepsis, there has been considerable and growing interest in trying to identify suitable biomarkers. There is currently an unmet need in the medical literature to communicate the importance of the challenges relating to the rapid diagnosis and implementation of goal-directed therapy in sepsis and the underlying concepts that are directing these investigations. This article reviews the more novel biomarkers investigated to differentiate systemic inflammatory response syndrome from sepsis.
CONCLUSION: The biomarkers described reflect the difficulties in making evidence-based recommendations particularly when interpreting studies where the methodology is of poor quality and the results are conflicting. We are reminded of our responsibilities to ensure high quality and standardised study design as articulated by the STAndards for the Reporting of Diagnostic accuracy studies (STARD) initiative.

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Year:  2011        PMID: 21805087     DOI: 10.1007/s11845-011-0741-1

Source DB:  PubMed          Journal:  Ir J Med Sci        ISSN: 0021-1265            Impact factor:   1.568


  51 in total

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2.  Circulating levels of the long pentraxin PTX3 correlate with severity of infection in critically ill patients.

Authors:  B Muller; G Peri; A Doni; V Torri; R Landmann; B Bottazzi; A Mantovani
Journal:  Crit Care Med       Date:  2001-07       Impact factor: 7.598

3.  The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis.

Authors:  Mitchell M Levy; R Phillip Dellinger; Sean R Townsend; Walter T Linde-Zwirble; John C Marshall; Julian Bion; Christa Schorr; Antonio Artigas; Graham Ramsay; Richard Beale; Margaret M Parker; Herwig Gerlach; Konrad Reinhart; Eliezer Silva; Maurene Harvey; Susan Regan; Derek C Angus
Journal:  Crit Care Med       Date:  2010-02       Impact factor: 7.598

Review 4.  Effect of procalcitonin-guided treatment in patients with infections: a systematic review and meta-analysis.

Authors:  H Tang; T Huang; J Jing; H Shen; W Cui
Journal:  Infection       Date:  2009-10-13       Impact factor: 3.553

5.  The use of polymerase chain reaction to detect septicemia in critically ill patients.

Authors:  R T Cursons; E Jeyerajah; J W Sleigh
Journal:  Crit Care Med       Date:  1999-05       Impact factor: 7.598

6.  Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008.

Authors:  R Phillip Dellinger; Mitchell M Levy; Jean M Carlet; Julian Bion; Margaret M Parker; Roman Jaeschke; Konrad Reinhart; Derek C Angus; Christian Brun-Buisson; Richard Beale; Thierry Calandra; Jean-Francois Dhainaut; Herwig Gerlach; Maurene Harvey; John J Marini; John Marshall; Marco Ranieri; Graham Ramsay; Jonathan Sevransky; B Taylor Thompson; Sean Townsend; Jeffrey S Vender; Janice L Zimmerman; Jean-Louis Vincent
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7.  A prospective, multicenter derivation of a biomarker panel to assess risk of organ dysfunction, shock, and death in emergency department patients with suspected sepsis.

Authors:  Nathan I Shapiro; Stephen Trzeciak; Judd E Hollander; Robert Birkhahn; Ronny Otero; Tiffany M Osborn; Eugene Moretti; H Bryant Nguyen; Kyle J Gunnerson; David Milzman; David F Gaieski; Munish Goyal; Charles B Cairns; Long Ngo; Emanuel P Rivers
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8.  C-reactive protein as an indicator of sepsis.

Authors:  P Póvoa; E Almeida; P Moreira; A Fernandes; R Mealha; A Aragão; H Sabino
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9.  YKL-40 identified by proteomic analysis as a biomarker of sepsis.

Authors:  Noriyuki Hattori; Shigeto Oda; Tomohito Sadahiro; Masataka Nakamura; Ryuzo Abe; Koichiro Shinozaki; Fumio Nomura; Takeshi Tomonaga; Kazuyuki Matsushita; Yoshio Kodera; Kazuyuki Sogawa; Mamoru Satoh; Hiroyuki Hirasawa
Journal:  Shock       Date:  2009-10       Impact factor: 3.454

10.  Time course of plasma gelsolin concentrations during severe sepsis in critically ill surgical patients.

Authors:  HaiHong Wang; BaoLi Cheng; QiXing Chen; ShuiJing Wu; Chen Lv; GuoHao Xie; Yue Jin; XiangMing Fang
Journal:  Crit Care       Date:  2008-08-17       Impact factor: 9.097

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  7 in total

Review 1.  Laboratory Diagnosis of Sepsis? No SIRS, Not Just Yet.

Authors:  W Michael Dunne
Journal:  J Clin Microbiol       Date:  2015-01-28       Impact factor: 5.948

2.  Relationship of serum mannose-binding lectin levels with the development of sepsis: a meta-analysis.

Authors:  Dong-Na Gao; Yu Zhang; Yan-Bo Ren; Jian Kang; Li Jiang; Zhuo Feng; Ya-Nan Qu; Qing-Hui Qi; Xuan Meng
Journal:  Inflammation       Date:  2015-02       Impact factor: 4.092

3.  Acyl-lipid metabolism.

Authors:  Yonghua Li-Beisson; Basil Shorrosh; Fred Beisson; Mats X Andersson; Vincent Arondel; Philip D Bates; Sébastien Baud; David Bird; Allan Debono; Timothy P Durrett; Rochus B Franke; Ian A Graham; Kenta Katayama; Amélie A Kelly; Tony Larson; Jonathan E Markham; Martine Miquel; Isabel Molina; Ikuo Nishida; Owen Rowland; Lacey Samuels; Katherine M Schmid; Hajime Wada; Ruth Welti; Changcheng Xu; Rémi Zallot; John Ohlrogge
Journal:  Arabidopsis Book       Date:  2013-01-29

4.  Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients.

Authors:  Diana Schmerler; Sophie Neugebauer; Katrin Ludewig; Sibylle Bremer-Streck; Frank Martin Brunkhorst; Michael Kiehntopf
Journal:  J Lipid Res       Date:  2012-05-11       Impact factor: 5.922

5.  The role of obesity in the immune response during sepsis.

Authors:  A S Kolyva; V Zolota; D Mpatsoulis; G Skroubis; E E Solomou; I G Habeos; S F Assimakopoulos; N Goutzourelas; D Kouretas; C A Gogos
Journal:  Nutr Diabetes       Date:  2014-09-22       Impact factor: 5.097

6.  Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

Authors:  Florian Lamping; Thomas Jack; Nicole Rübsamen; Michael Sasse; Philipp Beerbaum; Rafael T Mikolajczyk; Martin Boehne; André Karch
Journal:  BMC Pediatr       Date:  2018-03-15       Impact factor: 2.125

7.  Duplex Shiny app quantification of the sepsis biomarkers C-reactive protein and interleukin-6 in a fast quantum dot labeled lateral flow assay.

Authors:  Christoph Ruppert; Lars Kaiser; Lisa Johanna Jacob; Stefan Laufer; Matthias Kohl; Hans-Peter Deigner
Journal:  J Nanobiotechnology       Date:  2020-09-10       Impact factor: 10.435

  7 in total

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