Literature DB >> 29581049

Towards precision medicine in sepsis: a position paper from the European Society of Clinical Microbiology and Infectious Diseases.

J Rello1, T S R van Engelen2, E Alp3, T Calandra4, V Cattoir5, W V Kern6, M G Netea7, S Nseir8, S M Opal9, F L van de Veerdonk10, M H Wilcox11, W J Wiersinga12.   

Abstract

BACKGROUND: Our current understanding of the pathophysiology and management of sepsis is associated with a lack of progress in clinical trials, which partly reflects insufficient appreciation of the heterogeneity of this syndrome. Consequently, more patient-specific approaches to treatment should be explored. AIMS: To summarize the current evidence on precision medicine in sepsis, with an emphasis on translation from theory to clinical practice. A secondary objective is to develop a framework enclosing recommendations on management and priorities for further research. SOURCES: A global search strategy was performed in the MEDLINE database through the PubMed search engine (last search December 2017). No restrictions of study design, time, or language were imposed. CONTENT: The focus of this Position Paper is on the interplay between therapies, pathogens, and the host. Regarding the pathogen, microbiologic diagnostic approaches (such as blood cultures (BCs) and rapid diagnostic tests (RDTs)) are discussed, as well as targeted antibiotic treatment. Other topics include the disruption of host immune system and the use of biomarkers in sepsis management, patient stratification, and future clinical trial design. Lastly, personalized antibiotic treatment and stewardship are addressed (Fig. 1). IMPLICATIONS: A road map provides recommendations and future perspectives. RDTs and identifying drug-response phenotypes are clear challenges. The next step will be the implementation of precision medicine to sepsis management, based on theranostic methodology. This highly individualized approach will be essential for the design of novel clinical trials and improvement of care pathways.
Copyright © 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Big data; Biomarkers; Host defence; Low- and middle-income countries; Microbiome; Personalized medicine; Precision medicine; Rapid diagnostic test (RDT); Theranostics; Treatment

Mesh:

Substances:

Year:  2018        PMID: 29581049     DOI: 10.1016/j.cmi.2018.03.011

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  36 in total

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-09-14       Impact factor: 3.267

4.  Incidence and antimicrobial resistance trends in bloodstream infections caused by ESKAPE and Escherichia coli at a large teaching hospital in Rome, a 9-year analysis (2007-2015).

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Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-06-09       Impact factor: 3.267

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7.  How to improve research on management of critically ill patients: Lessons learned from negative randomised clinical trials in the intensive care unit.

Authors:  Jordi Rello; Lluis Blanch; Jean-Charles Preiser; Jan J De Waele
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8.  Assessment of rapid direct E-test on positive blood culture for same-day antimicrobial susceptibility.

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Journal:  Braz J Microbiol       Date:  2019-08-20       Impact factor: 2.476

Review 9.  The Effects of Biological Sex on Sepsis Treatments in Animal Models: A Systematic Review and a Narrative Elaboration on Sex- and Gender-Dependent Differences in Sepsis.

Authors:  MengQi Zhang; Joshua Montroy; Rahul Sharma; Dean A Fergusson; Asher A Mendelson; Kimberly F Macala; Stephane L Bourque; Jared M Schlechte; Mikaela K Eng; Braedon McDonald; Sean E Gill; Kirsten M Fiest; Patricia C Liaw; Alison Fox-Robichaud; Manoj M Lalu
Journal:  Crit Care Explor       Date:  2021-06-14

Review 10.  Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions.

Authors:  Gary E Weissman; Vincent X Liu
Journal:  Curr Opin Crit Care       Date:  2021-10-01       Impact factor: 3.359

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