| Title |
A mathematical model of CO2, O2 and N2 exchange during venovenous extracorporeal membrane oxygenation
|
|---|---|
| Published in |
Intensive Care Medicine Experimental, August 2018
|
| DOI | 10.1186/s40635-018-0183-4 |
| Pubmed ID | |
| Authors |
Christopher John Joyce, Kiran Shekar, David Andrew Cook |
| Abstract |
Venovenous extracorporeal membrane oxygenation (vv-ECMO) is an effective treatment for severe respiratory failure. The interaction between the cardiorespiratory system and the oxygenator can be explored with mathematical models. Understanding the physiology will help the clinician optimise therapy. As others have examined O2 exchange, the main focus of this study was on CO2 exchange. A model of the cardiorespiratory system during vv-ECMO was developed, incorporating O2, CO2 and N2 exchange in both the lung and the oxygenator. We modelled lungs with shunt fractions varying from 0 to 1, covering the plausible range from normal lung to severe acute respiratory distress syndrome. The effects on PaCO2 of varying the input parameters for the cardiorespiratory system and for the oxygenator were examined. PaCO2 increased as the shunt fraction in the lung and metabolic CO2 production rose. Changes in haemoglobin and FIO2 had minimal effect on PaCO2. The effect of cardiac output on PaCO2 was variable, depending on the shunt fraction in the lung. PaCO2 decreased as extracorporeal circuit blood flow was increased, but the changes were relatively small in the range used clinically for vv-ECMO of > 2 l/min. PaCO2 decreased as gas flow to the oxygenator rose and increased with recirculation. The oxygen fraction of gas flow to the oxygenator had minimal effect on PaCO2. This mathematical model of gas exchange during vv-ECMO found that the main determinants of PaCO2 during vv-ECMO were pulmonary shunt fraction, metabolic CO2 production, gas flow to the oxygenator and extracorporeal circuit recirculation. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Vietnam | 1 | 9% |
| Germany | 1 | 9% |
| Spain | 1 | 9% |
| Morocco | 1 | 9% |
| Australia | 1 | 9% |
| Malaysia | 1 | 9% |
| United States | 1 | 9% |
| Netherlands | 1 | 9% |
| Italy | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Practitioners (doctors, other healthcare professionals) | 3 | 27% |
| Scientists | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 18% |
| Student > Ph. D. Student | 7 | 16% |
| Professor > Associate Professor | 6 | 14% |
| Other | 4 | 9% |
| Student > Master | 4 | 9% |
| Other | 5 | 11% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 36% |
| Engineering | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Computer Science | 2 | 5% |
| Chemical Engineering | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 15 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2023.
All research outputs
#3,584,224
of 24,318,236 outputs
Outputs from Intensive Care Medicine Experimental
#103
of 495 outputs
Outputs of similar age
#69,737
of 335,078 outputs
Outputs of similar age from Intensive Care Medicine Experimental
#6
of 16 outputs
Altmetric has tracked 24,318,236 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,078 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.