Evidence map›Paper›PMID 27342821›Full record

ArticleIntensive care medicine experimental2016

Microcirculatory perfusion shows wide inter-individual variation and is important in determining shock reversal during resuscitation in a porcine experimental model of complex traumatic hemorrhagic shock.

Sam D Hutchings, David N Naumann, Sarah Watts, Callie Wilson, Clare Burton, Julia Wendon, Emrys Kirkman

Open access · goldAbstract read
In one paragraph

Article in Intensive care medicine experimental, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Sam D HutchingsRoyal Centre for Defence Medicine, Birmingham Research Park, Vincent Drive, Birmingham, B15 2SQ, UK. sam.hutchings@kcl.ac.uk.
David N NaumannRoyal Centre for Defence Medicine, Birmingham Research Park, Vincent Drive, Birmingham, B15 2SQ, UK.
Sarah WattsDefence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK.
Callie WilsonDefence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK.
Clare BurtonDefence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK.
Julia WendonDepartment of Critical Care, King's College Hospital London, Denmark Hill, London, SE5 9RS, UK.
Emrys KirkmanDefence Science and Technology Laboratory, Porton Down, Salisbury, Wiltshire, SP4 0JQ, UK.
Defence Science and Technology Laboratory · GBBirmingham Research Park · GBKing's College Hospital · GBQueen Elizabeth Hospital Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic hemorrhagic shock (THS) is a leading cause of preventable death following severe traumatic injury. Resuscitation of THS is typically targeted at blood pressure, but the effects of such a strategy on systemic and microcirculatory flow remains unclear. Failure to restore microcirculatory perfusion has been shown to lead to poor outcomes in experimental and clinical studies. Systemic and microcirculatory variables were examined in a porcine model of complex THS, in order to investigate inter-individual variations in flow and the effect of microcirculatory perfusion on reversal of the shock state.

methodsBaseline standard microcirculatory variables were obtained for 22 large white pigs using sublingual incident dark field (IDF) video-microscopy. All animals were subjected to a standardised hind-limb injury followed by a controlled haemorrhage of approximately 35 % of blood volume (shock phase). This was followed by 60 min of fluid resuscitation with either 0.9 % saline or component blood products and a target SBP of 80 mmHg (early resuscitation phase). All animals were then given blood products to a target SBP of 110 mmHg for 120 min (mid-resuscitation phase), and a further 100 min (late resuscitation phase). IDF readings were obtained at the midpoint of each of these phases. Cardiac output was measured using a pulmonary artery catheter. Animals were divided into above average (A) and below average (B) perfused vessel density (PVD) groups based on the lowest recorded PVD measurement taken during the shock and early resuscitation phases.

resultsThere was minimal inter-individual variation in blood pressure but wide variation of both systemic and microcirculatory flow variables during resuscitation. During shock and early resuscitation, group A (n = 10) had a mean PVD of 10.5 (SD ± 2.5) mm/mm(2) and group B (n = 12) 5.5 (SD ± 4.1) mm/mm(2). During the later resuscitation phases, group A maintained a significantly higher PVD than group B. Group A initially had a higher cardiac output, but the difference between the groups narrowed as resuscitation progressed. At the end of resuscitation, group A had significantly lower plasma lactate, higher lactate clearance, lower standard base deficit and smaller mixed venous-arterial CO2 gradient. There was no significant difference in blood pressure between the two groups at any stage.

conclusionThere was a wide variation in both macro- and microcirculatory flow variables in this pressure-targeted experimental model of THS resuscitation. Early changes in microvascular perfusion appear to be key determinants in the reversal of the shock state during resuscitation. Microcirculatory flow parameters may be more reliable markers of physiological insult than pressure-based parameters and are potential targets for goal-directed resuscitation.

Indexed as

Blood productsCO2 gapHaemorrhagic shockLactate clearanceMicrocirculationPerfused vessel densitySublingual video-microscopyTraumatic injury

Identifiers

PMID27342821
PMCPMC4920780
OpenAlexW2461346853

What OpenQuestion holds

Textmetadata
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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.