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Published in: Critical Care 1/2019

Open Access 01-12-2019 | Septicemia | Research

Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids

Authors: Christopher W. Seymour, Samantha J. Kerti, Anthony J. Lewis, Jason Kennedy, Emily Brant, John E. Griepentrog, Xianghong Zhang, Derek C. Angus, Chung-Chou H. Chang, Matthew R. Rosengart

Published in: Critical Care | Issue 1/2019

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Abstract

Background

Clinical and biologic phenotypes of sepsis are proposed in human studies, yet it is unknown whether prognostic or drug response phenotypes are present in animal models of sepsis. Using a biotelemetry-enhanced, murine cecal ligation and puncture (CLP) model, we determined phenotypes of polymicrobial sepsis prior to physiologic deterioration, and the association between phenotypes and outcome in a randomized trial of prompt or delayed antibiotics and fluids.

Methods

We performed a secondary analysis of male C57BL/6J mice in two observational cohorts and two randomized, laboratory animal experimental trials. In cohort 1, mice (n = 118) underwent biotelemetry-enhanced CLP, and we applied latent class mixed models to determine optimal number of phenotypes using clinical data collected between injury and physiologic deterioration. In cohort 2 (N = 73 mice), inflammatory cytokines measured at 24 h after deterioration were explored by phenotype. In a subset of 46 mice enrolled in two trials from cohort 1, we tested the association of phenotypes with the response to immediate (0 h) vs. delayed (2 to 4 h) antibiotics or fluids initiated after physiologic deterioration.

Results

Latent class mixture modeling derived a two-class model in cohort 1. Class 2 (N = 97) demonstrated a shorter time to deterioration (mean SD 7.3 (0.9) vs. 9.7 (3.2) h, p < 0.001) and lower heart rate at 7 h after injury (mean (SD) 564 (55) vs. 626 (35) beats per minute, p < 0.001). Overall mortality was similar between phenotypes (p = 0.75). In cohort 2 used for biomarker measurement, class 2 mice had greater plasma concentrations of IL6 and IL10 at 24 h after CLP (p = 0.05). In pilot randomized trials, the effects of sepsis treatment (immediate vs. delayed antibiotics) differed by phenotype (p = 0.03), with immediate treatment associated with greater survival in class 2 mice only. Similar differential treatment effect by class was observed in the trial of immediate vs. delayed fluids (p = 0.02).

Conclusions

We identified two sepsis phenotypes in a murine cecal ligation and puncture model, one of which is characterized by faster deterioration and more severe inflammation. Response to treatment in a randomized trial of immediate versus delayed antibiotics and fluids differed on the basis of phenotype.
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Literature
1.
go back to reference Seymour CW, Liu VX, Iwashyna TJ, et al. Assessment of Clinical Criteria for Sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016;315(8):762–74.CrossRef Seymour CW, Liu VX, Iwashyna TJ, et al. Assessment of Clinical Criteria for Sepsis: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016;315(8):762–74.CrossRef
3.
go back to reference Opal SM, Laterre PF, Francois B, et al. Effect of eritoran, an antagonist of MD2-TLR4, on mortality in patients with severe sepsis: the ACCESS randomized trial. JAMA. 2013;309(11):1154–62.CrossRef Opal SM, Laterre PF, Francois B, et al. Effect of eritoran, an antagonist of MD2-TLR4, on mortality in patients with severe sepsis: the ACCESS randomized trial. JAMA. 2013;309(11):1154–62.CrossRef
4.
go back to reference Investigators P. Early, goal-directed therapy for septic shock - a patient-level meta-analysis. N Engl J Med. 2017. Investigators P. Early, goal-directed therapy for septic shock - a patient-level meta-analysis. N Engl J Med. 2017.
5.
go back to reference Iwashyna TJ, Burke JF, Sussman JB, Prescott HC, Hayward RA, Angus DC. Implications of heterogeneity of treatment effect for reporting and analysis of randomized trials in critical care. AmJ Respir Crit Care Med. 2015;192(9):1045–51.CrossRef Iwashyna TJ, Burke JF, Sussman JB, Prescott HC, Hayward RA, Angus DC. Implications of heterogeneity of treatment effect for reporting and analysis of randomized trials in critical care. AmJ Respir Crit Care Med. 2015;192(9):1045–51.CrossRef
6.
go back to reference Seymour CW, Kennedy JN, Wang S, et al. Derivation, validation and potential treatment implications of novel clinical phenotypes for sepsis. JAMA. 2019;321(20):2003–17.CrossRef Seymour CW, Kennedy JN, Wang S, et al. Derivation, validation and potential treatment implications of novel clinical phenotypes for sepsis. JAMA. 2019;321(20):2003–17.CrossRef
7.
go back to reference Sweeney TE, Azad TD, Donato M, et al. Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters. Crit Care Med. 2018;46(6):915–25.CrossRef Sweeney TE, Azad TD, Donato M, et al. Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters. Crit Care Med. 2018;46(6):915–25.CrossRef
9.
go back to reference Scicluna BP, van Vught LA, Zwinderman AH, et al. Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study. Lancet Respir Med. 2017;5(10):816–26.CrossRef Scicluna BP, van Vught LA, Zwinderman AH, et al. Classification of patients with sepsis according to blood genomic endotype: a prospective cohort study. Lancet Respir Med. 2017;5(10):816–26.CrossRef
10.
go back to reference McHugh L, Seldon TA, Brandon RA, et al. A molecular host response assay to discriminate between sepsis and infection-negative systemic inflammation in critically ill patients: discovery and validation in independent cohorts. PLoS Med. 2015;12(12):e1001916.CrossRef McHugh L, Seldon TA, Brandon RA, et al. A molecular host response assay to discriminate between sepsis and infection-negative systemic inflammation in critically ill patients: discovery and validation in independent cohorts. PLoS Med. 2015;12(12):e1001916.CrossRef
11.
go back to reference Wong HR, Cvijanovich NZ, Allen GL, et al. Validation of a gene expression-based subclassification strategy for pediatric septic shock. Crit Care Med. 2011;39(11):2511–7.CrossRef Wong HR, Cvijanovich NZ, Allen GL, et al. Validation of a gene expression-based subclassification strategy for pediatric septic shock. Crit Care Med. 2011;39(11):2511–7.CrossRef
12.
go back to reference Osuchowski MF, Connett J, Welch K, Granger J, Remick DG. Stratification is the key: inflammatory biomarkers accurately direct immunomodulatory therapy in experimental sepsis. Crit Care Med. 2009;37(5):1567–73.CrossRef Osuchowski MF, Connett J, Welch K, Granger J, Remick DG. Stratification is the key: inflammatory biomarkers accurately direct immunomodulatory therapy in experimental sepsis. Crit Care Med. 2009;37(5):1567–73.CrossRef
14.
go back to reference Shrum B, Anantha RV, Xu SX, et al. A robust scoring system to evaluate sepsis severity in an animal model. BMC Res Notes. 2014;7:233.CrossRef Shrum B, Anantha RV, Xu SX, et al. A robust scoring system to evaluate sepsis severity in an animal model. BMC Res Notes. 2014;7:233.CrossRef
15.
go back to reference Famous KR, Delucchi K, Ware LB, et al. Acute respiratory distress syndrome subphenotypes respond differently to randomized fluid management strategy. Am J Respir Crit Care Med. 2017;195(3):331–8.CrossRef Famous KR, Delucchi K, Ware LB, et al. Acute respiratory distress syndrome subphenotypes respond differently to randomized fluid management strategy. Am J Respir Crit Care Med. 2017;195(3):331–8.CrossRef
16.
go back to reference Lewis AJ, Griepentrog JE, Zhang X, Angus DC, Seymour CW, Rosengart MR. Prompt administration of antibiotics and fluids in the treatment of sepsis: a murine trial. Crit Care Med. 2018;46(5):e426–34.CrossRef Lewis AJ, Griepentrog JE, Zhang X, Angus DC, Seymour CW, Rosengart MR. Prompt administration of antibiotics and fluids in the treatment of sepsis: a murine trial. Crit Care Med. 2018;46(5):e426–34.CrossRef
17.
go back to reference Lewis AJ, Yuan D, Zhang X, Angus DC, Rosengart MR, Seymour CW. Use of biotelemetry to define physiology-based deterioration thresholds in a murine cecal ligation and puncture model of Sepsis. Crit Care Med. 2016;44(6):e420–31.CrossRef Lewis AJ, Yuan D, Zhang X, Angus DC, Rosengart MR, Seymour CW. Use of biotelemetry to define physiology-based deterioration thresholds in a murine cecal ligation and puncture model of Sepsis. Crit Care Med. 2016;44(6):e420–31.CrossRef
18.
go back to reference Moitra R, Beal DR, Belikoff BG, Remick DG. Presence of pre-existing antibodies mediate survival in sepsis. Shock. 2011;37(1):56–62.CrossRef Moitra R, Beal DR, Belikoff BG, Remick DG. Presence of pre-existing antibodies mediate survival in sepsis. Shock. 2011;37(1):56–62.CrossRef
19.
go back to reference Kiank C, et al. Seasonal variations in inflammatory responses to sepsis and stress in mice. Crit Care Med. 2007;35:2352–8.CrossRef Kiank C, et al. Seasonal variations in inflammatory responses to sepsis and stress in mice. Crit Care Med. 2007;35:2352–8.CrossRef
20.
go back to reference Hubbard WJ, Choudhry M, Schwacha MG, et al. Cecal ligation and puncture. Shock. 2005;24:52–7.CrossRef Hubbard WJ, Choudhry M, Schwacha MG, et al. Cecal ligation and puncture. Shock. 2005;24:52–7.CrossRef
21.
go back to reference Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22(7):707–10.CrossRef Vincent JL, Moreno R, Takala J, et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996;22(7):707–10.CrossRef
22.
go back to reference Huet O, Ramsey D, Miljavec S, et al. Ensuring animal welfare while meeting scientific aims using a murine pneumonia model of septic shock. Shock. 2013;39(6):488–94.CrossRef Huet O, Ramsey D, Miljavec S, et al. Ensuring animal welfare while meeting scientific aims using a murine pneumonia model of septic shock. Shock. 2013;39(6):488–94.CrossRef
23.
go back to reference Remick DG, Bolgos GR, Siddiqui J, Shin J, Nemzek JA. Six at six: interleukin-6 measured 6 h after the initiation of sepsis predicts mortality over 3 days. Shock. 2002;17(6):463–7.CrossRef Remick DG, Bolgos GR, Siddiqui J, Shin J, Nemzek JA. Six at six: interleukin-6 measured 6 h after the initiation of sepsis predicts mortality over 3 days. Shock. 2002;17(6):463–7.CrossRef
24.
go back to reference Shankar-Hari M, Phillips GS, Levy ML, et al. Developing a new definition and assessing new clinical criteria for septic shock: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016;315(8):775–87.CrossRef Shankar-Hari M, Phillips GS, Levy ML, et al. Developing a new definition and assessing new clinical criteria for septic shock: for the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016;315(8):775–87.CrossRef
25.
go back to reference Bos LD, Schouten LR, van Vught LA, et al. Identification and validation of distinct biological phenotypes in patients with acute respiratory distress syndrome by cluster analysis. Thorax. 2017;72(10):876–83.CrossRef Bos LD, Schouten LR, van Vught LA, et al. Identification and validation of distinct biological phenotypes in patients with acute respiratory distress syndrome by cluster analysis. Thorax. 2017;72(10):876–83.CrossRef
26.
go back to reference Liu VX, Fielding-Singh V, Greene JD, et al. The timing of early antibiotics and hospital mortality in Sepsis. Am J Respir Crit Care Med. 2017;196(7):856–63.CrossRef Liu VX, Fielding-Singh V, Greene JD, et al. The timing of early antibiotics and hospital mortality in Sepsis. Am J Respir Crit Care Med. 2017;196(7):856–63.CrossRef
27.
go back to reference Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2017;376(23):2235–44.CrossRef Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis. N Engl J Med. 2017;376(23):2235–44.CrossRef
28.
go back to reference Andrews B, Muchemwa L, Kelly P, Lakhi S, Heimburger DC, Bernard GR. Simplified severe sepsis protocol: a randomized controlled trial of modified early goal-directed therapy in Zambia. Crit Care Med. 2014;42(11):2315–24.CrossRef Andrews B, Muchemwa L, Kelly P, Lakhi S, Heimburger DC, Bernard GR. Simplified severe sepsis protocol: a randomized controlled trial of modified early goal-directed therapy in Zambia. Crit Care Med. 2014;42(11):2315–24.CrossRef
29.
go back to reference Maitland K, Kiguli S, Opoka RO, et al. Mortality after fluid bolus in African children with severe infection. N Engl J Med. 2011;364(26):2483–95.CrossRef Maitland K, Kiguli S, Opoka RO, et al. Mortality after fluid bolus in African children with severe infection. N Engl J Med. 2011;364(26):2483–95.CrossRef
31.
go back to reference Ankerst M. OPTICS: Ordering points to identify the clustering structure. SIGMOD. 1999;28(2):49–60.CrossRef Ankerst M. OPTICS: Ordering points to identify the clustering structure. SIGMOD. 1999;28(2):49–60.CrossRef
Metadata
Title
Murine sepsis phenotypes and differential treatment effects in a randomized trial of prompt antibiotics and fluids
Authors
Christopher W. Seymour
Samantha J. Kerti
Anthony J. Lewis
Jason Kennedy
Emily Brant
John E. Griepentrog
Xianghong Zhang
Derek C. Angus
Chung-Chou H. Chang
Matthew R. Rosengart
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Critical Care / Issue 1/2019
Electronic ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-019-2655-7

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