Intra-breath arterial oxygen oscillations detected by a fast oxygen sensor in an animal model of acute respiratory distress syndrome

Federico Formenti, R Chen, Hanne McPeak, Pamela Murison, M Matejovic, Clive Hahn, Andrew Farmery

Research output: Contribution to journalArticlepeer-review


Background There is considerable interest in oxygen partial pressure (PO2) monitoring in physiology, and in tracking PO2 changes dynamically when it varies rapidly. For example, arterial PO2 ([Math Processing Error]) can vary within the respiratory cycle in cyclical atelectasis (CA), where [Math Processing Error] is thought to increase and decrease during inspiration and expiration, respectively. A sensor that detects these [Math Processing Error] oscillations could become a useful diagnostic tool of CA during acute respiratory distress syndrome (ARDS).

Methods We developed a fibreoptic PO2 sensor (<200 µm diameter), suitable for human use, that has a fast response time, and can measure PO2 continuously in blood. By altering the inspired fraction of oxygen ([Math Processing Error]) from 21 to 100% in four healthy animal models, we determined the linearity of the sensor's signal over a wide range of [Math Processing Error] values in vivo. We also hypothesized that the sensor could measure rapid intra-breath [Math Processing Error] oscillations in a large animal model of ARDS.

Results In the healthy animal models, [Math Processing Error] responses to changes in [Math Processing Error] were in agreement with conventional intermittent blood-gas analysis (n=39) for a wide range of [Math Processing Error] values, from 10 to 73 kPa. In the animal lavage model of CA, the sensor detected [Math Processing Error] oscillations, also at clinically relevant [Math Processing Error] levels close to 9 kPa.

Conclusions We conclude that these fibreoptic [Math Processing Error] sensors have the potential to become a diagnostic tool for CA in ARDS.
Original languageEnglish
Pages (from-to)683-688
JournalBritish Journal of Anaesthesia
Issue number4
Early online date28 Jan 2015
Publication statusPublished - Apr 2015


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