Evidence map›Paper›PMID 27277706›Full record

ArticleJournal of translational medicine2016

Microcirculatory blood flow during cardiac arrest and cardiopulmonary resuscitation does not correlate with global hemodynamics: an experimental study.

Petra Krupičková, Mikuláš Mlček, Michal Huptych, Zuzana Mormanová, Tomáš Bouček, Tomáš Belza, Stanislav Lacko, Miloš Černý, Petr Neužil, Otomar Kittnar and 2 more

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Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Brain vulnerability and viability after ischaemia.Nature reviews. Neuroscience · 2021
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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

12 authors at 6 institutions in 1 country.

Petra KrupičkováFirst Faculty of Medicine, Charles University in Prague, Katerinska 1660/32, 121 08, Prague 2, Czech Republic.
Mikuláš MlčekInstitute of Physiology, First Faculty of Medicine, Charles University in Prague, Albertov 5, 128 00, Prague 2, Czech Republic.
Michal HuptychCzech Institute of Informatics, Robotics and Cybernetics (CIIRC), Czech Technical University in Prague, Zikova 1903/4, 166 36, Prague 6, Czech Republic.
Zuzana MormanováDepartment of Neonatology, Krajska nemocnice Liberec, a.s., Husova 357/10, 460 63, Liberec, Czech Republic.
Tomáš Bouček2nd Department of Medicine-Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, U Nemocnice 2, 128 00, Prague 2, Czech Republic.
Tomáš BelzaInstitute of Physiology, First Faculty of Medicine, Charles University in Prague, Albertov 5, 128 00, Prague 2, Czech Republic.
Stanislav LackoInstitute of Physiology, First Faculty of Medicine, Charles University in Prague, Albertov 5, 128 00, Prague 2, Czech Republic.
Miloš ČernýDepartment of Neonatology with NICU, University Hospital in Motol, V Uvalu 84, 150 06, Prague 5, Czech Republic.
Petr NeužilDepartment of Cardiology, Na Homolce Hospital, Roentgenova 2, 150 30, Prague 5, Czech Republic.
Otomar KittnarInstitute of Physiology, First Faculty of Medicine, Charles University in Prague, Albertov 5, 128 00, Prague 2, Czech Republic.
Aleš Linhart2nd Department of Medicine-Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, U Nemocnice 2, 128 00, Prague 2, Czech Republic.
Jan Bělohlávek2nd Department of Medicine-Department of Cardiovascular Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, U Nemocnice 2, 128 00, Prague 2, Czech Republic. jbelo@vfn.cz.
Charles University · CZCzech Academy of Sciences, Institute of Physiology · CZCzech Technical University in Prague · CZKrajská Nemocnice Liberec · CZNa Homolce Hospital · CZUniversity Hospital in Motol · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent research highlights the role of microcirculatory disorders in post-cardiac arrest patients. Affected microcirculation shows not only dissociation from systemic hemodynamics but also strong connection to outcome of these patients. However, only few studies evaluated microcirculation directly during cardiac arrest (CA) and cardiopulmonary resuscitation (CPR). The aim of our experimental study in a porcine model was to describe sublingual microcirculatory changes during CA and CPR using recent videomicroscopic technology and provide a comparison to parameters of global hemodynamics.

methodsCardiac arrest was induced in 18 female pigs (50 ± 3 kg). After 3 min without treatment, 5 min of mechanical CPR followed. Continuous hemodynamic monitoring including systemic blood pressure and carotid blood flow was performed and blood lactate was measured at the end of baseline and CPR. Sublingual microcirculation was assessed by the Sidestream Dark Field (SDF) technology during baseline, CA and CPR. Following microcirculatory parameters were assessed off-line separately for capillaries (≤20 µm) and other vessels: total and perfused vessel density (TVD, PVD), proportion of perfused vessels (PPV), microvascular flow index (MFI) and heterogeneity index (HI).

resultsIn comparison to baseline the CA small vessel microcirculation was only partially preserved: TVD 15.64 (13.59-18.48) significantly decreased to 12.51 (10.57-13.98) mm/mm(2), PVD 15.57 (13.56-17.80) to 5.53 (4.17-6.60) mm/mm(2), PPV 99.64 (98.05-100.00) to 38.97 (27.60-46.29) %, MFI 3.00 (3.00-3.08) to 1.29 (1.08-1.58) and HI increased from 0.08 (0.00-0.23) to 1.5 (0.71-2.00), p = 0.0003 for TVD and <0.0001 for others, respectively. Microcirculation during ongoing CPR in small vessels reached 59-85 % of the baseline values: TVD 13.33 (12.11-15.11) mm/mm(2), PVD 9.34 (7.34-11.52) mm/mm(2), PPV 72.34 (54.31-87.87) %, MFI 2.04 (1.58-2.42), HI 0.65 (0.41-1.07). The correlation between microcirculation and global hemodynamic parameters as well as to lactate was only weak to moderate (i.e. Spearman's ρ 0.02-0.51) and after adjustment for multiple correlations it was non-significant.

conclusionsSublingual microcirculatory parameters did not correlate with global hemodynamic parameters during simulated porcine model of CA and CPR. SDF imaging provides additional information about tissue perfusion in the course of CPR.

Indexed as

Cardiopulmonary ResuscitationAnimalsFemaleHeart ArrestHemodynamicsHemoglobinsLactatesMicrocirculationSus scrofaTemperatureHemoglobinsLactatesAnimal modelCardiac arrestCardiopulmonary resuscitationMicrocirculationMicroscopy camera technologySidestream dark field imagingSublingual area

Identifiers

PMID27277706
PMCPMC4898356
OpenAlexW2410749476

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.