Evidence map›Paper›PMID 34284554›Full record

ArticleAnaesthesiology intensive therapy2021

Artificial hyperventilation normalizes haemodynamics and arterial oxygen content in hypoxic rats.

Diego de Villalobos, Andres Laserna, Cosmo Fowler, John A Cuenca, Peyton Martin, Michele Guindani, Wenli Dong, Howard B Gutstein, Kristen J Price, Joseph L Nates

Open access · diamondAbstract read
In one paragraph

Article in Anaesthesiology intensive therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 5 institutions in 1 country.

Diego de VillalobosDepartment of Critical Care Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Andres LasernaDepartment of Anesthesiology and Perioperative Medicine, University of Rochester Medical Center, Rochester, NY, USA.
Cosmo FowlerDepartment of Medicine, Case Western Reserve University - MetroHealth, Cleveland, OH, USA.
John A CuencaDepartment of Critical Care Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Peyton MartinDepartment of Critical Care Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Michele GuindaniDepartment of Statistics, University of California, Irvine, CA, USA.
Wenli DongDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX.
Howard B GutsteinDepartment of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA.
Kristen J PriceDepartment of Critical Care Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Joseph L NatesDepartment of Critical Care Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
The University of Texas MD Anderson Cancer Center · USCase Western Reserve University · USUniversity of California, Irvine · USUniversity of Pittsburgh · USUniversity of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough humans are capable of enduring critically low levels of oxygen, many hypoxaemic patients die despite aggressive therapies. Mimicking the physiological hyperventilation necessary to survive extreme hypoxic conditions could minimize the derangements caused by acute hypoxic-hypoxia. The objective of this study was to measure the haemodynamic-biochemical response to artificially induced hyperventilation in hypoxic rats. MATERIAL AND

methodsTwenty-four deeply anaesthetized and mechanically ventilated rats were allocated to 3 groups: control (n = 5, FiO2 = 1); hypoxic spontaneously hyperventilating (n = 10, FiO2 = 0.08); and hypoxic artificially induced hyperventilation (n = 9, targeting PaCO2 = 10 mm Hg, FiO2 = 0.08). We compared the spontaneously and artificially hyperventilating groups. P-values < 0.01 were considered statistically significant. Mean arterial pressure (MAP) and serum chemistry were measured for 180 minutes.

resultsThe control group remained stable throughout the experiment. The hypoxic groups developed profound hypotension after the decrease in FiO2. However, the artificially induced hyperventilated rats recovered their MAP to levels higher than the spontaneously hyperventilating group (117.1 ± 17.2 vs. 68.1 ± 16.0, P = 0.0048). In regard to the biochemical derangements, even though the serum lactate and PaO2 were not different among the hypoxic groups, the artificially hyperventilated group achieved significantly higher SaO2 (94.3 ± 3.6 vs. 58.6 ± 9.6, P = 0.005), pH (7.87 ± 0.04 vs. 7.50 ± 0.13, P = 0.005), and CaO2 (17.7 ± 2.6 vs. 10.2 ± 1.3, P = 0.005) at 180 minutes.

conclusionsArtificially induced hyperventilation led to the correction of arterial oxygen content, severe serum chemistry, and haemodynamic derangements. These findings may represent a novel rescue manoeuvre and serve as a bridge to a permanent form of support, but should be further studied before being translated to the clinical setting.

Indexed as

HyperventilationHypoxiaAnimalsBlood Gas AnalysisHemodynamicsHumansOxygenRatsOxygenartificial respirationcritical illnesshyperventilation.hypocapniahypoxiarespiratory insufficiency

Identifiers

PMID34284554
PMCPMC10165328
OpenAlexW3175437241

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.