2004
DOI: 10.1097/01.ccm.0000138561.11634.6f
|View full text |Cite
|
Sign up to set email alerts
|

Expiratory trigger setting in pressure support ventilation: From mathematical model to bedside

Abstract: A significant correlation was observed between predicted values of V'ti/V'peak and those values measured in patients undergoing pressure support. These findings should stimulate further research into the possible applications of this mathematical model to optimize expiratory trigger setting. Furthermore, our findings suggest that expiratory trigger should be adjustable and provide a wider range of cutoff levels than that which is currently available.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
18
0
1

Year Published

2009
2009
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 46 publications
(21 citation statements)
references
References 17 publications
2
18
0
1
Order By: Relevance
“…Furthermore, our results show that the cycling setting must be individualized, since response time of the respiratory system, the interface, amount of pressure support, breathing frequency, and leakage will probably affect how a patient responds. 14,15 Careful analysis of flow and pressure tracings and derived parameters are necessary. We recommend raising cycling criteria above the conventional level as long as parameters suggesting delayed cycling (non-supported inspirations, prolonged mechanical inspiration time, and flow curve analysis) are detectable.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, our results show that the cycling setting must be individualized, since response time of the respiratory system, the interface, amount of pressure support, breathing frequency, and leakage will probably affect how a patient responds. 14,15 Careful analysis of flow and pressure tracings and derived parameters are necessary. We recommend raising cycling criteria above the conventional level as long as parameters suggesting delayed cycling (non-supported inspirations, prolonged mechanical inspiration time, and flow curve analysis) are detectable.…”
Section: Discussionmentioning
confidence: 99%
“…4 As has been shown for invasive ventilation, adjustment of cycling criteria improves patient ventilator synchronization and reduces intrinsic PEEP. 13,14 However, studies assessing cycling in depth 15 are lacking. The purpose of this lung model study with COPD settings was to systematically investigate how patient ventilator synchronization during NIV with 2 different interfaces (face mask and ventilation helmet) can be improved by adjusting cycling.…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11][12][13][14][15][16] The reason for multiple studies of flow cycling is attributed to the universal adoption of spontaneous breathing modes such as pressure-support ventilation (PSV). 17 During PSV the patient both triggers and cycles the breath (Fig.…”
Section: Flow Cyclingmentioning
confidence: 99%
“…Over the last two decades, technological developments have lead to significant improvements of the performances by ICU ventilators [1][2][3][4]. At the same time, the presentation of data and the interface of the ventilator with the clinician have also changed dramatically.…”
mentioning
confidence: 99%
“…All parameters were controlled by simple, and in most cases, easily accessible knobs that the clinician simply turned to the desired setting or mode. Today's ICU ventilators are composed primarily of a series of microprocessors controlling a gas delivery platform [1][2][3][4][5]. As a result, the capabilities of today's ICU ventilators are markedly greater than previous generations of ventilators.…”
mentioning
confidence: 99%