Evidence map›Paper›PMID 25477352›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2015

Quantification of microcirculatory blood flow: a sensitive and clinically relevant prognostic marker in murine models of sepsis.

Claire A Sand, Anna Starr, Catherine D E Wilder, Olena Rudyk, Domenico Spina, Christoph Thiemermann, David F Treacher, Manasi Nandi

Open access · hybridAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2015. 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
2.6field-weighted citation impact, top 11% 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, 28 citations in OpenAlex.

  1. Article
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  14. Vascular Expression of Transient Receptor Potential Vanilloid 1 (TRPV1).The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2015
    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

8 authors at 4 institutions in 1 country.

Claire A SandBritish Heart Foundation Centre for Cardiovascular Research, King's College London, London, United Kingdom;
Anna StarrPharmacology and Therapeutics, Institute of Pharmaceutical Science, King's College London, London, United Kingdom;
Catherine D E WilderBritish Heart Foundation Centre for Cardiovascular Research, King's College London, London, United Kingdom;
Olena RudykBritish Heart Foundation Centre for Cardiovascular Research, King's College London, London, United Kingdom;
Domenico SpinaPharmacology and Therapeutics, Institute of Pharmaceutical Science, King's College London, London, United Kingdom;
Christoph ThiemermannDepartment of Intensive Care, Guy's & St. Thomas NHS Foundation Trust, London, United Kingdom.
David F TreacherThe William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, United Kingdom; and.
Manasi NandiBritish Heart Foundation Centre for Cardiovascular Research, King's College London, London, United Kingdom; Pharmacology and Therapeutics, Institute of Pharmaceutical Science, King's College London, London, United Kingdom; manasi.nandi@kcl.ac.uk.
King's College London · GBBritish Heart Foundation · GBGuy's and St Thomas' NHS Foundation Trust · GBQueen Mary University of London · GB

Funding

British Heart Foundation FS/14/57/31138British Heart Foundation PG/09/073British Heart Foundation PG/09/073/27953British Heart Foundation S/10/51/28677
6 · The paper itself

Abstract

Sepsis and sepsis-associated multiorgan failure represent the major cause of mortality in intensive care units worldwide. Cardiovascular dysfunction, a key component of sepsis pathogenesis, has received much research interest, although research translatability remains severely limited. There is a critical need for more comprehensive preclinical sepsis models, with more clinically relevant end points, such as microvascular perfusion. The purpose of this study was to compare microcirculatory blood flow measurements, using a novel application of laser speckle contrast imaging technology, with more traditional hemodynamic end points, as part of a multiparameter monitoring system in preclinical models of sepsis. Our aim, in measuring mesenteric blood flow, was to increase the prognostic sensitivity of preclinical studies. In two commonly used sepsis models (cecal ligation and puncture, and lipopolysaccharide), we demonstrate that blood pressure and cardiac output are compromised postsepsis, but subsequently stabilize over the 24-h recording period. In contrast, mesenteric blood flow continuously declines in a time-dependent manner and in parallel with the development of metabolic acidosis and organ dysfunction. Importantly, these microcirculatory perturbations are reversed by fluid resuscitation, a mainstay intervention associated with improved outcome in patients. These data suggest that global hemodynamics are maintained at the expense of the microcirculation and are, therefore, not sufficiently predictive of outcome. We demonstrate that microcirculatory blood flow is a more sensitive biomarker of sepsis syndrome progression and believe that incorporation of this biomarker into preclinical models will facilitate sophisticated proof-of-concept studies for novel sepsis interventions, providing more robust data on which to base future clinical trials.

Indexed as

AnimalsBiomarkersBlood PressureCardiac OutputCecumDisease Models, AnimalHemodynamicsMaleMiceMice, Inbred C57BLMicrocirculationPrognosisRegional Blood FlowSepsisBiomarkersanimal models of cardiovascular diseasemicrocirculationsepsisseptic shock

Identifiers

PMID25477352
PMCPMC4312846
OpenAlexW2060613372

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.