The use of the pulse oximetric saturation to fraction of inspired oxygen ratio in an automated acute respiratory distress syndrome screening tool

Abstract Purpose To determine the relationship between the pulse oximetric saturation to fraction of inspired oxygen (SF) ratio and the arterial partial pressure of oxygen to the fraction of inspired oxygen (PF) ratio, and to assess the usefulness of the SF ratio in an automated acute respiratory di...

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Bibliographic Details
Published in:Journal of critical care 2015-06, Vol.30 (3), p.486-490
Main Authors: Schmidt, Marcello F.S., MD, Gernand, Jill, MS, Kakarala, Radhika, MD, MS
Format: Article
Language:English
Subjects:
Accuracy
Adult
Aged
Aged, 80 and over
ARDS
Automation
Critical Care
Female
Fractions
Humans
Intensive care
Male
Middle Aged
Mortality
Oximetry
Oxygen Consumption
PF ratio
Physiology
Ratios
Respiratory distress syndrome
Respiratory Distress Syndrome, Adult - diagnosis
Retrospective Studies
Screening
SF ratio
Statistical analysis
Surveillance
Variables
Ventilation
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Summary:Abstract Purpose To determine the relationship between the pulse oximetric saturation to fraction of inspired oxygen (SF) ratio and the arterial partial pressure of oxygen to the fraction of inspired oxygen (PF) ratio, and to assess the usefulness of the SF ratio in an automated acute respiratory distress syndrome (ARDS) screening tool. Material and methods This was a retrospective cohort study using the Multiparameter Intelligent Monitoring in Intensive Care II database. The relationship was derived and validated in all patients ventilated for at least 24 hours. Results The total data set included 7544 paired measurements from 3767 intensive care unit admissions. The correlation between SF ratio and PF ratio in the whole data set was good (Spearman ρ = 0.72, P < .001). An automated ARDS diagnostic tool using the derived SF cutoff had excellent agreement with the same tool using the PF ratio of 300 ( κ = 0.87). Conclusion The SF ratio may be an adequate substitute for the PF ratio in an automated ARDS screening tool.
ISSN:0883-9441
1557-8615
DOI:10.1016/j.jcrc.2015.02.007