Source:http://linkedlifedata.com/resource/pubmed/id/10956342
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
3
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| pubmed:dateCreated |
2000-10-19
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| pubmed:abstractText |
Measurement of the intrinsic positive end-expiratory pressure (PEEP(i)) is important in planning the management of ventilated patients. Here, a new recursive least squares method for on-line monitoring of PEEP(i) is proposed for mechanically ventilated patients. The procedure is based on the first-order model of respiratory mechanics applied to experimental measurements obtained from eight ventilator-dependent patients ventilated with four different ventilatory modes. The model PEEP(i) (PEEP(i,mod)) was recursively constructed on an inspiration-by-inspiration basis. The results were compared with two well-established techniques to assess PEEP(i): end-expiratory occlusion to measure static PEEP(i) (PEEP(i, st)) and change in airway pressure preceding the onset of inspiratory airflow to measure dynamic PEEP(i) (PEEP(i,dyn)). PEEP(i, mod) was significantly correlated with both PEEP(i,dyn) (r = 0.77) and PEEP(i,st) (r = 0.90). PEEP(i,mod) (5.6 +/- 3.4 cmH(2)O) was systematically >PEEP(i,dyn) and PEEP(i,st) (2.7 +/- 1.9 and 8.1 +/- 5.5 cmH(2)O, respectively), in all the models without external PEEP. Focusing on the five patients with chronic obstructive pulmonary disease, PEEP(i,mod) was significantly correlated with PEEP(i,st) (r = 0.71), whereas PEEP(i,dyn) (r = 0.22) was not. When PEEP was set 5 cmH(2)O above PEEP(i,st), all the methods correctly estimated total PEEP, i.e., 11.8 +/- 5.3, 12.5 +/- 5.0, and 12.0 +/- 4.7 cmH(2)O for PEEP(i,mod), PEEP(i,st), and PEEP(i,dyn), respectively, and were highly correlated (0.97-0.99). We interpreted PEEP(i,mod) as the lower bound of PEEP(i,st) and concluded that our method is suitable for on-line monitoring of PEEP(i) in mechanically ventilated patients.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:month |
Sep
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| pubmed:issn |
8750-7587
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| pubmed:author | |
| pubmed:issnType |
Print
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| pubmed:volume |
89
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
985-95
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| pubmed:dateRevised |
2007-11-15
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| pubmed:meshHeading |
pubmed-meshheading:10956342-Adult,
pubmed-meshheading:10956342-Aged,
pubmed-meshheading:10956342-Aged, 80 and over,
pubmed-meshheading:10956342-Computers,
pubmed-meshheading:10956342-Evaluation Studies as Topic,
pubmed-meshheading:10956342-Female,
pubmed-meshheading:10956342-Humans,
pubmed-meshheading:10956342-Least-Squares Analysis,
pubmed-meshheading:10956342-Male,
pubmed-meshheading:10956342-Middle Aged,
pubmed-meshheading:10956342-Monitoring, Physiologic,
pubmed-meshheading:10956342-Positive-Pressure Respiration,
pubmed-meshheading:10956342-Pulmonary Ventilation,
pubmed-meshheading:10956342-Respiration, Artificial,
pubmed-meshheading:10956342-Respiratory Mechanics
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| pubmed:year |
2000
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| pubmed:articleTitle |
On-line monitoring of intrinsic PEEP in ventilator-dependent patients.
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| pubmed:affiliation |
Dipartimento di Elettronica ed Informatica, University of Padova, 35131 Padova, Italy. nucci@dei.unipd.it
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| pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
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