AUTHOR=Aviner Ben , Arieli Ran , Yalov Alexandra 

TITLE=Power Equation for Predicting the Risk of Central Nervous System Oxygen Toxicity at Rest

JOURNAL=Frontiers in Physiology

VOLUME=11

YEAR=2020

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2020.01007

DOI=10.3389/fphys.2020.01007

ISSN=1664-042X

ABSTRACT=<p>Patients undergoing hyperbaric oxygen therapy and divers engaged in underwater activity are at risk of central nervous system oxygen toxicity. An algorithm for predicting CNS oxygen toxicity in active underwater diving has been published previously, but not for humans at rest. Using a procedure similar to that employed for the derivation of our active diving algorithm, we collected data for exposures at rest, in which subjects breathed hyperbaric oxygen while immersed in thermoneutral water at 33°C (<italic>n</italic> = 219) or in dry conditions (<italic>n</italic> = 507). The maximal likelihood method was employed to solve for the parameters of the power equation. For immersion, the CNS oxygen toxicity index is K<sub><italic>I</italic></sub> = t<sup>2</sup> × PO<sub>2</sub><sup>10.93</sup>, where the calculated risk from the Standard Normal distribution is Z<sub><italic>I</italic></sub> = [ln(K<sub><italic>I</italic></sub><sup>0.5</sup>) – 8.99)]/0.81. For dry exposures this is K<sub><italic>D</italic></sub> = t<sup>2</sup> × PO<sub>2</sub><sup>12.99</sup>, with risk Z<sub><italic>D</italic></sub> = [ln(K<sub><italic>D</italic></sub><sup>0.5</sup>) – 11.34)]/0.65. We propose a method for interpolating the parameters at metabolic rates between 1 and 4.4 MET. The risk of CNS oxygen toxicity at rest was found to be greater during immersion than in dry conditions. We discuss the prediction properties of the new algorithm in the clinical hyperbaric environment, and suggest it may be adopted for use in planning procedures for hyperbaric oxygen therapy and for rest periods during saturation diving.</p>