Literature DB >> 33591001

Sepsis Subclasses: A Framework for Development and Interpretation.

Kimberley M DeMerle1, Derek C Angus1, J Kenneth Baillie2, Emily Brant1, Carolyn S Calfee3, Joseph Carcillo4, Chung-Chou H Chang1,5,6, Robert Dickson7, Idris Evans1, Anthony C Gordon8, Jason Kennedy1, Julian C Knight9, Christopher J Lindsell10, Vincent Liu11, John C Marshall12, Adrienne G Randolph13, Brendon P Scicluna14,15, Manu Shankar-Hari16,17, Nathan I Shapiro18, Timothy E Sweeney19, Victor B Talisa1,6, Benjamin Tang20, B Taylor Thompson21, Ephraim L Tsalik22, Tom van der Poll14, Lonneke A van Vught14, Hector R Wong23, Sachin Yende1, Huiying Zhao24, Christopher W Seymour1.   

Abstract

Sepsis is defined as a dysregulated host response to infection that leads to life-threatening acute organ dysfunction. It afflicts approximately 50 million people worldwide annually and is often deadly, even when evidence-based guidelines are applied promptly. Many randomized trials tested therapies for sepsis over the past 2 decades, but most have not proven beneficial. This may be because sepsis is a heterogeneous syndrome, characterized by a vast set of clinical and biologic features. Combinations of these features, however, may identify previously unrecognized groups, or "subclasses" with different risks of outcome and response to a given treatment. As efforts to identify sepsis subclasses become more common, many unanswered questions and challenges arise. These include: 1) the semantic underpinning of sepsis subclasses, 2) the conceptual goal of subclasses, 3) considerations about study design, data sources, and statistical methods, 4) the role of emerging data types, and 5) how to determine whether subclasses represent "truth." We discuss these challenges and present a framework for the broader study of sepsis subclasses. This framework is intended to aid in the understanding and interpretation of sepsis subclasses, provide a mechanism for explaining subclasses generated by different methodologic approaches, and guide clinicians in how to consider subclasses in bedside care.
Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

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Year:  2021        PMID: 33591001      PMCID: PMC8627188          DOI: 10.1097/CCM.0000000000004842

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  47 in total

1.  Why have clinical trials in sepsis failed?

Authors:  John C Marshall
Journal:  Trends Mol Med       Date:  2014-02-24       Impact factor: 11.951

2.  Prospective clinical testing and experimental validation of the Pediatric Sepsis Biomarker Risk Model.

Authors:  Hector R Wong; J Timothy Caldwell; Natalie Z Cvijanovich; Scott L Weiss; Julie C Fitzgerald; Michael T Bigham; Parag N Jain; Adam Schwarz; Riad Lutfi; Jeffrey Nowak; Geoffrey L Allen; Neal J Thomas; Jocelyn R Grunwell; Torrey Baines; Michael Quasney; Bereketeab Haileselassie; Christopher J Lindsell
Journal:  Sci Transl Med       Date:  2019-11-13       Impact factor: 17.956

3.  Intestinal domination and the risk of bacteremia in patients undergoing allogeneic hematopoietic stem cell transplantation.

Authors:  Ying Taur; Joao B Xavier; Lauren Lipuma; Carles Ubeda; Jenna Goldberg; Asia Gobourne; Yeon Joo Lee; Krista A Dubin; Nicholas D Socci; Agnes Viale; Miguel-Angel Perales; Robert R Jenq; Marcel R M van den Brink; Eric G Pamer
Journal:  Clin Infect Dis       Date:  2012-06-20       Impact factor: 9.079

4.  Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

Authors:  Alison E Fohner; John D Greene; Brian L Lawson; Jonathan H Chen; Patricia Kipnis; Gabriel J Escobar; Vincent X Liu
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

5.  Three Hypothetical Inflammation Pathobiology Phenotypes and Pediatric Sepsis-Induced Multiple Organ Failure Outcome.

Authors:  Joseph A Carcillo; E Scott Halstead; Mark W Hall; Trung C Nguyen; Ron Reeder; Rajesh Aneja; Bita Shakoory; Dennis Simon
Journal:  Pediatr Crit Care Med       Date:  2017-06       Impact factor: 3.624

6.  Enrichment of the lung microbiome with gut bacteria in sepsis and the acute respiratory distress syndrome.

Authors:  Robert P Dickson; Benjamin H Singer; Michael W Newstead; Nicole R Falkowski; John R Erb-Downward; Theodore J Standiford; Gary B Huffnagle
Journal:  Nat Microbiol       Date:  2016-07-18       Impact factor: 17.745

7.  The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Authors:  Matthieu Komorowski; Leo A Celi; Omar Badawi; Anthony C Gordon; A Aldo Faisal
Journal:  Nat Med       Date:  2018-10-22       Impact factor: 53.440

8.  Shared and Distinct Aspects of the Sepsis Transcriptomic Response to Fecal Peritonitis and Pneumonia.

Authors:  Katie L Burnham; Emma E Davenport; Jayachandran Radhakrishnan; Peter Humburg; Anthony C Gordon; Paula Hutton; Eduardo Svoren-Jabalera; Christopher Garrard; Adrian V S Hill; Charles J Hinds; Julian C Knight
Journal:  Am J Respir Crit Care Med       Date:  2017-08-01       Impact factor: 21.405

9.  Microbial dysbiosis and mortality during mechanical ventilation: a prospective observational study.

Authors:  Daphnée Lamarche; Jennie Johnstone; Nicole Zytaruk; France Clarke; Lori Hand; Dessi Loukov; Jake C Szamosi; Laura Rossi; Louis P Schenck; Chris P Verschoor; Ellen McDonald; Maureen O Meade; John C Marshall; Dawn M E Bowdish; Tim Karachi; Diane Heels-Ansdell; Deborah J Cook; Michael G Surette
Journal:  Respir Res       Date:  2018-12-07

10.  Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.

Authors:  David B Antcliffe; Katie L Burnham; Farah Al-Beidh; Shalini Santhakumaran; Stephen J Brett; Charles J Hinds; Deborah Ashby; Julian C Knight; Anthony C Gordon
Journal:  Am J Respir Crit Care Med       Date:  2019-04-15       Impact factor: 21.405

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  21 in total

1.  Transcriptomics combined with metabolomics analysis of the mechanism of agmatine in the treatment of septic liver injury.

Authors:  Ling Huang; Lianfang Gan; Junhua Pan; Lifan Zhong; Qianru Wang; Shanjun Luo; Jia Tian; Huaping Liang
Journal:  Ann Transl Med       Date:  2022-05

2.  Effect of erythromycin on mortality and the host response in critically ill patients with sepsis: a target trial emulation.

Authors:  Tom D Y Reijnders; Hessel Peters-Sengers; Lonneke A van Vught; Fabrice Uhel; Marc J M Bonten; Olaf L Cremer; Marcus J Schultz; Martijn M Stuiver; Tom van der Poll
Journal:  Crit Care       Date:  2022-05-24       Impact factor: 19.334

3.  Tocilizumab: A Role for Biomarker-Directed Therapy?

Authors:  Jeffrey R Strich; Daniel S Chertow
Journal:  Crit Care Med       Date:  2022-03-01       Impact factor: 9.296

Review 4.  Endotypes and the Path to Precision in Moderate and Severe Traumatic Brain Injury.

Authors:  Tej D Azad; Pavan P Shah; Han B Kim; Robert D Stevens
Journal:  Neurocrit Care       Date:  2022-03-21       Impact factor: 3.532

Review 5.  Immunomonitoring of Monocyte and Neutrophil Function in Critically Ill Patients: From Sepsis and/or Trauma to COVID-19.

Authors:  Ivo Udovicic; Ivan Stanojevic; Dragan Djordjevic; Snjezana Zeba; Goran Rondovic; Tanja Abazovic; Srdjan Lazic; Danilo Vojvodic; Kendrick To; Dzihan Abazovic; Wasim Khan; Maja Surbatovic
Journal:  J Clin Med       Date:  2021-12-12       Impact factor: 4.241

Review 6.  Sepsis: deriving biological meaning and clinical applications from high-dimensional data.

Authors:  Alex R Schuurman; Tom D Y Reijnders; Robert F J Kullberg; Joe M Butler; Tom van der Poll; W Joost Wiersinga
Journal:  Intensive Care Med Exp       Date:  2021-05-07

7.  Identification of acute respiratory distress syndrome subphenotypes de novo using routine clinical data: a retrospective analysis of ARDS clinical trials.

Authors:  Abhijit Duggal; Rachel Kast; Emily Van Ark; Lucas Bulgarelli; Matthew T Siuba; Jeff Osborn; Diego Ariel Rey; Fernando G Zampieri; Alexandre Biasi Cavalcanti; Israel Maia; Denise M Paisani; Ligia N Laranjeira; Ary Serpa Neto; Rodrigo Octávio Deliberato
Journal:  BMJ Open       Date:  2022-01-06       Impact factor: 2.692

Review 8.  What we know and still ignore on COVID-19 immune pathogenesis and a proposal based on the experience of allergic disorders.

Authors:  Enrico Maggi; Bruno Giuseppe Azzarone; Giorgio Walter Canonica; Lorenzo Moretta
Journal:  Allergy       Date:  2021-10-12       Impact factor: 14.710

Review 9.  Pediatric sepsis biomarkers for prognostic and predictive enrichment.

Authors:  Hector R Wong
Journal:  Pediatr Res       Date:  2021-06-14       Impact factor: 3.953

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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