Literature DB >> 31073503

Sepsis Biomarkers.

Hector R Wong1,2.   

Abstract

Sepsis-related biomarkers have a variety of potential applications. The most well-known application is to differentiate patients with signs of systemic inflammation caused by infection, from those with systemic inflammation due to a non-infectious cause. This application is important for timely and judicious prescription of antibiotics. Apart from diagnostic applications, biomarkers can also be used to identify patients with sepsis who are at risk for poor outcome and to subgroup patients with sepsis based on biological commonalities. The latter two applications embody the concepts of prognostic and predictive enrichment, which are fundamental to precision medicine. This review will elaborate on these concepts, provide relevant examples, and discuss important considerations in the process of biomarkers discovery and development.

Entities:  

Keywords:  biomarkers; diagnostic; sepsis

Year:  2019        PMID: 31073503      PMCID: PMC6506678          DOI: 10.1055/s-0038-1677537

Source DB:  PubMed          Journal:  J Pediatr Intensive Care        ISSN: 2146-4626


  64 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

Review 2.  Protein biomarker discovery and validation: the long and uncertain path to clinical utility.

Authors:  Nader Rifai; Michael A Gillette; Steven A Carr
Journal:  Nat Biotechnol       Date:  2006-08       Impact factor: 54.908

Review 3.  Accuracy of procalcitonin for sepsis diagnosis in critically ill patients: systematic review and meta-analysis.

Authors:  Benjamin M P Tang; Guy D Eslick; Jonathan C Craig; Anthony S McLean
Journal:  Lancet Infect Dis       Date:  2007-03       Impact factor: 25.071

Review 4.  Biomarkers of sepsis.

Authors:  John C Marshall; Konrad Reinhart
Journal:  Crit Care Med       Date:  2009-07       Impact factor: 7.598

5.  Olfactomedin: purification, characterization, and localization of a novel olfactory glycoprotein.

Authors:  D A Snyder; A M Rivers; H Yokoe; B P Menco; R R Anholt
Journal:  Biochemistry       Date:  1991-09-24       Impact factor: 3.162

6.  Plasma interleukin-8 is not an effective risk stratification tool for adults with vasopressor-dependent septic shock.

Authors:  Carolyn S Calfee; B Taylor Thompson; Polly E Parsons; Lorraine B Ware; Michael A Matthay; Hector R Wong
Journal:  Crit Care Med       Date:  2010-06       Impact factor: 7.598

Review 7.  The host response to sepsis and developmental impact.

Authors:  James Wynn; Timothy T Cornell; Hector R Wong; Thomas P Shanley; Derek S Wheeler
Journal:  Pediatrics       Date:  2010-04-26       Impact factor: 7.124

Review 8.  Sepsis biomarkers: a review.

Authors:  Charalampos Pierrakos; Jean-Louis Vincent
Journal:  Crit Care       Date:  2010-02-09       Impact factor: 9.097

9.  Interleukin-8 as a stratification tool for interventional trials involving pediatric septic shock.

Authors:  Hector R Wong; Natalie Cvijanovich; Derek S Wheeler; Michael T Bigham; Marie Monaco; Kelli Odoms; William L Macias; Mark D Williams
Journal:  Am J Respir Crit Care Med       Date:  2008-05-29       Impact factor: 21.405

10.  Identification of pediatric septic shock subclasses based on genome-wide expression profiling.

Authors:  Hector R Wong; Natalie Cvijanovich; Richard Lin; Geoffrey L Allen; Neal J Thomas; Douglas F Willson; Robert J Freishtat; Nick Anas; Keith Meyer; Paul A Checchia; Marie Monaco; Kelli Odom; Thomas P Shanley
Journal:  BMC Med       Date:  2009-07-22       Impact factor: 8.775

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  6 in total

Review 1.  Omics of endothelial cell dysfunction in sepsis.

Authors:  Jordan C Langston; Michael T Rossi; Qingliang Yang; William Ohley; Edwin Perez; Laurie E Kilpatrick; Balabhaskar Prabhakarpandian; Mohammad F Kiani
Journal:  Vasc Biol       Date:  2022-04-07

2.  Predicting mortality in pediatric sepsis: A laudable but elusive goal.

Authors:  Teresa Bleakly Kortz; Niranjan Kissoon
Journal:  J Pediatr (Rio J)       Date:  2020-10-25       Impact factor: 2.197

3.  Biomarker combinations in predicting sepsis in hospitalized children with fever.

Authors:  Linda Rautiainen; Anna Cirko; Jana Pavare; Ilze Grope; Gita Gersone; Peteris Tretjakovs; Dace Gardovska
Journal:  BMC Pediatr       Date:  2022-05-12       Impact factor: 2.567

Review 4.  Biomarkers for the Prediction and Judgement of Sepsis and Sepsis Complications: A Step towards precision medicine?

Authors:  Thilo von Groote; Melanie Meersch-Dini
Journal:  J Clin Med       Date:  2022-09-29       Impact factor: 4.964

5.  Machine learning based refined differential gene expression analysis of pediatric sepsis.

Authors:  Mostafa Abbas; Yasser El-Manzalawy
Journal:  BMC Med Genomics       Date:  2020-08-28       Impact factor: 3.063

6.  Procalcitonin Levels in Post TACE Infection.

Authors:  Shugao Han; Yao Ye; Jianjun Wu; Bin Li; Guangqiang Zhang; Kai Jin; Rui Tang; Wei Huang; Ming Chao; Kefeng Ding
Journal:  Cancer Manag Res       Date:  2020-11-26       Impact factor: 3.602

  6 in total

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