Event Title

Administering Model-based Patient-specific Supplemental Oxygen Therapy

Location

Room # EB204

Start Date

5-6-2019 9:50 AM

Description

Purpose: The oxyhemoglobin dissociation curve describes the relationship between the partial pressure of oxygen and the percent of hemoglobin saturated with oxygen and varies with chemical and physical factors that differ for every patient. If variability could be determined, patient specific oxygen therapy could be administered. We have developed a procedure for characterizing variations in the oxygen dissociation curve. The purpose of this study was to validate this procedure in surgical patients. Methods: The procedure uses an automated system to alter oxygen therapy and Hill's equation to fit measurements. Once measurements are gathered, the procedure uses an iterative least-squares method to determine best-fit parameters for the Hill equation. The procedure was performed on surgical patients after which model fit was assessed. Results: 39 patients participated in this study. Using patient-specific parameter values increases correlation when compared to standard values. The procedure improved the model fit of patient saturation values significantly in 19 patients. Conclusions: This paper has demonstrated a procedure for determining patient specific pulse oximeter response. This procedure determined best-fit parameters resulting in a significantly improved fit when compared to standard values. These best-fit parameters increased the coefficient of determination R2 in all cases.

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Session 3

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May 6th, 9:50 AM

Administering Model-based Patient-specific Supplemental Oxygen Therapy

Room # EB204

Purpose: The oxyhemoglobin dissociation curve describes the relationship between the partial pressure of oxygen and the percent of hemoglobin saturated with oxygen and varies with chemical and physical factors that differ for every patient. If variability could be determined, patient specific oxygen therapy could be administered. We have developed a procedure for characterizing variations in the oxygen dissociation curve. The purpose of this study was to validate this procedure in surgical patients. Methods: The procedure uses an automated system to alter oxygen therapy and Hill's equation to fit measurements. Once measurements are gathered, the procedure uses an iterative least-squares method to determine best-fit parameters for the Hill equation. The procedure was performed on surgical patients after which model fit was assessed. Results: 39 patients participated in this study. Using patient-specific parameter values increases correlation when compared to standard values. The procedure improved the model fit of patient saturation values significantly in 19 patients. Conclusions: This paper has demonstrated a procedure for determining patient specific pulse oximeter response. This procedure determined best-fit parameters resulting in a significantly improved fit when compared to standard values. These best-fit parameters increased the coefficient of determination R2 in all cases.