Document Detail

Prediction of arterial oxygen partial pressure from intrapulmonary venous admixture.
MedLine Citation:
PMID:  2791599     Owner:  NLM     Status:  MEDLINE    
A short program was developed to predict the PaO2 at a given FIO2 by using arterial and mixed venous blood gas data obtained at an FIO2 of 1.0. Our program resolves Adair's equation and the shunt equation inversely, on the assumption that intrapulmonary venous admixture and the arteriovenous oxygen content difference remain constant during the study. The study was conducted on 19 patients with respiratory failure who were intubated and mechanically ventilated. According to linear regression analysis, regression coefficients of 0.91 and 0.97 were obtained between the measured PaO2 values and those estimated by the arterial/alveolar oxygen tension ratio (PaO2/PaO2) and our program, respectively (n = 23). The PaO2 values were predicted more accurately by our program than those calculated by PaO2/PaO2. Because our program is simple enough to be carried out with a pocket computer, it may be helpful in a bedside decision of lowering FIO2, especially in patients who require a high FIO2 level to maintain sufficient arterial oxygenation.
S Ogawa; M Kusunoki; J Shirai; K Takeda; J Takezawa; N Taenaka; M Matsumoto; T Kamada
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Critical care medicine     Volume:  17     ISSN:  0090-3493     ISO Abbreviation:  Crit. Care Med.     Publication Date:  1989 Nov 
Date Detail:
Created Date:  1989-11-22     Completed Date:  1989-11-22     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0355501     Medline TA:  Crit Care Med     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1191-3     Citation Subset:  AIM; IM    
Center of Respiratory Disease, Kobe Ekisaikai Hospital, Japan.
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MeSH Terms
Blood Gas Analysis / methods*
Regression Analysis
Respiration, Artificial
Respiratory Insufficiency / blood*,  therapy

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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