Evidence map›Paper›PMID 31779663›Full record

ArticleCritical care (London, England)2019

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

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

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Immune-Related MoleculesInternational journal of molecular sciences · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Sepsis Biomarkers.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Christopher W SeymourDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA. seymourcw@upmc.edu.
Samantha J KertiDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
Anthony J LewisDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Jason KennedyDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
Emily BrantDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
John E GriepentrogDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Xianghong ZhangDepartment of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, USA.
Derek C AngusDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
Chung-Chou H ChangDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
Matthew R RosengartDepartments of Critical Care Medicine Emergency Medicine, University of Pittsburgh School of Medicine, 3550 Terrace St, Scaife Hall, #639, Pittsburgh, PA, 15261, USA.
University of Pittsburgh · US

Funding

TRAINING IN TRAUMA AND SEPSIS RESEARCHT32GM008516 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI TIMOTHY R BILLIAR · 1994 to 2026
$9.4M
Multidisciplinary Training in Critical Care Outcomes ResearchT32HL007820 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy D Girard, Jeremy M Kahn · 1996 to 2026
$6.4M
Sepsis subtypes: biology, treatment, and bedside applicationR35GM119519 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Christopher W. Seymour · 2016 to 2026
$4.9M
CaMK: Central Regulators of the response to Surgical SepsisR01GM082852 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSENGART, MATTHEW RANDALL · 2009 to 2020
$3.0M
Blue light protects against ischemia induced organ injuryR01GM116929 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSENGART, MATTHEW RANDALL · 2016 to 2019
$1.2M
NHLBI NIH HHS T32 HL007820NIGMS NIH HHS R01 GM082852NIGMS NIH HHS R01 GM116929NIGMS NIH HHS R35 GM119519NIGMS NIH HHS R35GM119519NIGMS NIH HHS T32 GM008516NIH HHS T32GM008516Surgical Infection Society Basic/Translational Research Training Fellowship Grant
6 · The paper itself

Abstract

backgroundClinical 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.

methodsWe 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.

resultsLatent 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).

conclusionsWe 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.

Indexed as

PhenotypeSepsisTime FactorsAnalysis of VarianceAnimalsAnti-Bacterial AgentsCecumCohort StudiesDisease Models, AnimalFluid TherapyLigationMaleMiceMice, Inbred C57BLPennsylvaniaAnti-Bacterial AgentsAnimal modelAntibioticsPhenotypeSepsis

Identifiers

PMID31779663
PMCPMC6883631
OpenAlexW2989730113

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.