Publication

Minimum Quality Threshold in Pre-Clinical Sepsis Studies (Mqtipss): An International Expert Consensus Initiative for Improvement of Animal Modeling in Sepsis.

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Last modified
  • 05/20/2025
Type of Material
Authors
    Marcin F. Osuchowski, AUVA Research CenterAlfred Ayala, Brown UniversitySoheyl Bahrami, AUVA Research CenterMichael Bauer, Jena University HospitalMihaly Boros, University of SzegedJean-Marc Cavaillon, Institut PasteurIrshad H. Chaudry, University of Alabama at BirminghamCraig Coopersmith, Emory UniversityClifford S. Deutschman, Northwell HealthSusanne Drechsler, AUVA Research CenterPhilip Efron, University of FloridaClaes Frostell, Karolinska InstitutetGerhard Fritsch, AUVA Trauma CenterWaldemar Gozdzik, Wroclaw Medical UniversityJudith Hellman, University of California San FranciscoMarkus Huber-Lang, University Hospital of UlmShigeaki Inoue, Kobe UniversitySylvia Knapp, Medical University ViennaAndrey V. Kozlov, AUVA Research CenterClaude Libert, Center for Inflammation ResearchJohn C. Marshall, University of TorontoLyle L. Moldawer, University of FloridaPeter Radermacher, University Hospital of UlmHeinz Redl, AUVA Research CenterDaniel G. Remick, Boston UniversityMervyn Singer, University College LondonChristoph Thiemermann, Queen Mary University of LondonPeter Wang, Feinstein Institute for Medical ResearchW. Joost Wiersinga, University of AmsterdamXianzhong Xiao, Central South UniversityBasilia Zingarelli, Cincinnati Children's Hospital Medical Center
Language
  • English
Date
  • 2018-10
Publisher
  • Lippincott, Williams & Wilkins
Publication Version
Copyright Statement
  • © 2018 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1073-2322
Volume
  • 50
Issue
  • 4
Start Page
  • 377
End Page
  • 380
Abstract
  • Preclinical animal studies precede the majority of clinical trials. While the clinical definitions of sepsis and recommended treatments are regularly updated, a systematic review of preclinical models of sepsis has not been done and clear modeling guidelines are lacking. To address this deficit, a Wiggers-Bernard Conference on preclinical sepsis modeling was held in Vienna in May, 2017. The goal of the conference was to identify limitations of preclinical sepsis models and to propose a set of guidelines, defined as the "Minimum Quality Threshold in Preclinical Sepsis Studies" (MQTiPSS), to enhance translational value of these models. A total of 31 experts from 13 countries participated and were divided into six thematic Working Groups: Study Design, Humane modeling, Infection types, Organ failure/dysfunction, Fluid resuscitation, and Antimicrobial therapy endpoints. As basis for the MQTiPSS discussions, the participants conducted a literature review of the 260 most highly cited scientific articles on sepsis models (2002-2013). Overall, the participants reached consensus on 29 points; 20 at "recommendation" and nine at "consideration" strength. This Executive Summary provides a synopsis of the MQTiPSS consensus. We believe that these recommendations and considerations will serve to bring a level of standardization to preclinical models of sepsis and ultimately improve translation of preclinical findings. These guideline points are proposed as "best practices" for animal models of sepsis that should be implemented. To encourage its wide dissemination, this article is freely accessible on the Intensive Care Medicine Experimental and Infection journal websites. In order to encourage its wide dissemination, this article is freely accessible in Shock, Infection, and Intensive Care Medicine Experimental.
Author Notes
  • Address reprint requests to Dr Marcin F. Osuchowski, DVM, PhD, Ludwig Boltzmann Institute for Experimental and Clinical Traumatology in the AUVA Research Center, Donaueschingenstrasse 13, A-1200 Vienna, Austria. E-mail: marcin.osuchowski@trauma.lbg.ac.at
Keywords
Research Categories
  • Health Sciences, Medicine and Surgery
  • Health Sciences, Immunology

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