Evidence map›Paper›PMID 34006052›Full record

ReviewAnaesthesiology intensive therapy2021

Cardiac output estimation based on arterial and venous blood gas analysis: proposal of a monitoring method.

David Santiago Giraldo Gutiérrez, Juan José Velásquez Gutiérrez, Joaquín Octavio Ruiz-Villa

Abstract readReview
In one paragraph

Review 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
–field-weighted citation impact
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.

  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

3 authors.

David Santiago Giraldo GutiérrezUniversidad Nacional de Colombia, Anesthesiologist - Fundación Hospital de la Misericordia and Hospital Universitario Nacional, Colombia.
Juan José Velásquez GutiérrezUniversidad Nacional de Colombia, Anesthesiologist - Fundación Hospital de la Misericordia, Colombia.
Joaquín Octavio Ruiz-VillaUniversidad Nacional de Colombia, Anesthesiologist - Clínica los Rosales S.A., Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemodynamic optimization is vital in high risk surgical patients or in high risk surgical procedures. The main objective of hemodynamic management is to maintain tissue perfusion and preserve aerobic metabolism through a cardiac output coupled with the metabolic demand. The technologies used for cardiac output monitoring use special techniques (e.g. lithium dilution or transpulmonary thermodilution) or implementation of dedicated devices with considerable rates of potential complications (pulmonary artery catheter). Thus, we propose a novel method to estimate cardiac output through the analysis of arteriovenous blood gases which could be an alternative to more expensive methods (minimally invasive devices, pulmonary artery catheter). A review of several formulas described in the literature to compute the variables needed to calculate cardiac output with the Fick principle was carried out. These formulas estimate the oxygen consumption using the O2 sensor integrated in the anesthesia workstation. The other variables in the Fick equation are derived from the arterial and venous blood gas analysis and parameters obtained from mechanical ventilators. By integrating the data gathered from the publications found, the authors created a comprehensive formula for calculation of cardiac output and the cardiac index using the parameters obtained from blood gas analysis. The presented method provides a more accessible and affordable way to monitor cardiac output in surgical high-risk patients in an environment with limited resources.

Indexed as

Oxygen ConsumptionThermodilutionBlood Gas AnalysisCardiac OutputHumansMonitoring, Physiologicanesthesiologyblood gas analysiscardiac outputcritical care.hemodynamic monitoringintraoperativemonitoring

Identifiers

PMID34006052
PMCPMC10158432

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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.