| Title |
Ventilator-related causes of lung injury: the mechanical power
|
|---|---|
| Published in |
Intensive Care Medicine, September 2016
|
| DOI | 10.1007/s00134-016-4505-2 |
| Pubmed ID | |
| Authors |
L. Gattinoni, T. Tonetti, M. Cressoni, P. Cadringher, P. Herrmann, O. Moerer, A. Protti, M. Gotti, C. Chiurazzi, E. Carlesso, D. Chiumello, M. Quintel |
| Abstract |
We hypothesized that the ventilator-related causes of lung injury may be unified in a single variable: the mechanical power. We assessed whether the mechanical power measured by the pressure-volume loops can be computed from its components: tidal volume (TV)/driving pressure (∆P aw), flow, positive end-expiratory pressure (PEEP), and respiratory rate (RR). If so, the relative contributions of each variable to the mechanical power can be estimated. We computed the mechanical power by multiplying each component of the equation of motion by the variation of volume and RR: [Formula: see text]where ∆V is the tidal volume, ELrs is the elastance of the respiratory system, I:E is the inspiratory-to-expiratory time ratio, and R aw is the airway resistance. In 30 patients with normal lungs and in 50 ARDS patients, mechanical power was computed via the power equation and measured from the dynamic pressure-volume curve at 5 and 15 cmH2O PEEP and 6, 8, 10, and 12 ml/kg TV. We then computed the effects of the individual component variables on the mechanical power. Computed and measured mechanical powers were similar at 5 and 15 cmH2O PEEP both in normal subjects and in ARDS patients (slopes = 0.96, 1.06, 1.01, 1.12 respectively, R (2) > 0.96 and p < 0.0001 for all). The mechanical power increases exponentially with TV, ∆P aw, and flow (exponent = 2) as well as with RR (exponent = 1.4) and linearly with PEEP. The mechanical power equation may help estimate the contribution of the different ventilator-related causes of lung injury and of their variations. The equation can be easily implemented in every ventilator's software. |
X Demographics
The data shown below were collected from the profiles of 75 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 12% |
| United Kingdom | 6 | 8% |
| Spain | 5 | 7% |
| Italy | 4 | 5% |
| Chile | 4 | 5% |
| Netherlands | 4 | 5% |
| Colombia | 3 | 4% |
| Venezuela, Bolivarian Republic of | 3 | 4% |
| United Arab Emirates | 2 | 3% |
| Other | 12 | 16% |
| Unknown | 23 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 73% |
| Practitioners (doctors, other healthcare professionals) | 7 | 9% |
| Science communicators (journalists, bloggers, editors) | 6 | 8% |
| Scientists | 6 | 8% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 634 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 3 | <1% |
| Portugal | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Mexico | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 626 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 77 | 12% |
| Student > Postgraduate | 74 | 12% |
| Researcher | 70 | 11% |
| Student > Doctoral Student | 49 | 8% |
| Student > Ph. D. Student | 44 | 7% |
| Other | 138 | 22% |
| Unknown | 182 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 345 | 54% |
| Nursing and Health Professions | 28 | 4% |
| Engineering | 24 | 4% |
| Agricultural and Biological Sciences | 8 | 1% |
| Biochemistry, Genetics and Molecular Biology | 5 | <1% |
| Other | 17 | 3% |
| Unknown | 207 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 52. 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 16 October 2022.
All research outputs
#832,502
of 26,017,215 outputs
Outputs from Intensive Care Medicine
#779
of 5,570 outputs
Outputs of similar age
#15,372
of 335,934 outputs
Outputs of similar age from Intensive Care Medicine
#5
of 120 outputs
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So far Altmetric has tracked 5,570 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. This one has done well, scoring higher than 85% of its peers.
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