Prediction of Arterial Oxygen Saturation With Partial Pressure of Oxygen Using a Turnover Model in Volunteers

IF 2.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Jung-Min Yi, Ji-Yeon Bang, Kyung Mi Kim, Eun-Kyung Lee, Byung-Moon Choi
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Abstract

Background

The relational equation for predicting arterial oxygen saturation (SaO2) with a partial pressure of oxygen (PaO2) has been described and used in clinical settings. However, the equation has limitations as it was derived empirically. This study aimed to assess the relationship between PaO2 and SaO2 using a turnover model.

Material and Methods

In a controlled desaturation study to assess the accuracy of a pulse oximeter, volunteers (n = 12) breathed hypoxic gas mixtures via a mouthpiece. Various target SaO2 values were achieved within the range of 70%–100%. PaO2 and SaO2 were measured using a CO-oximeter. A turnover model was fitted to PaO2–SaO2 pair data. The performance of the two SaO2 prediction methods (conventional formula and turnover model) was evaluated using additional volunteer data not used in the model-building process.

Results

The pharmacodynamic parameters were as follows: kout (1/min) = 4.45 for Asians, 0.93 for Africans, Imax = 0.837 and IC50 (mmHg) = 79.2%, γ = 5.24. PaCO2 and pH were not significant covariates. The median prediction and median absolute prediction error were 5.6% and 5.7%, respectively, for the conventional formula, and 0.1% and 1.2%, respectively, for the turnover model.

Conclusion

The relationship between PaO2 and SaO2 was better explained by the turnover model than by the conventional formula within the 70%–100% SaO2 range.

用血流模型预测志愿者动脉血氧饱和度与分压的关系
预测动脉血氧饱和度(SaO2)与氧分压(PaO2)的关系方程已被描述并用于临床设置。然而,这个方程有局限性,因为它是经验推导的。本研究旨在利用周转模型评估PaO2和SaO2之间的关系。材料和方法在一项评估脉搏血氧仪准确性的控制去饱和研究中,志愿者(n = 12)通过一个吸口呼吸低氧气体混合物。在70% ~ 100%的范围内实现了不同的SaO2目标值。用co -血氧计测定PaO2和SaO2。PaO2-SaO2对数据拟合了一个周转模型。两种SaO2预测方法(传统公式和周转模型)的性能评估使用额外的志愿者数据,而不是在模型构建过程中使用。结果亚洲人kout (1/min) = 4.45,非洲人0.93,Imax = 0.837, IC50 (mmHg) = 79.2%, γ = 5.24。PaCO2和pH无显著协变量。常规公式的预测中值和绝对预测误差中值分别为5.6%和5.7%,周转模型的预测中值和绝对预测误差中值分别为0.1%和1.2%。结论在70% ~ 100% SaO2范围内,PaO2与SaO2的关系用周转模型比常规公式更能解释。
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来源期刊
CiteScore
5.60
自引率
6.50%
发文量
126
审稿时长
1 months
期刊介绍: Basic & Clinical Pharmacology and Toxicology is an independent journal, publishing original scientific research in all fields of toxicology, basic and clinical pharmacology. This includes experimental animal pharmacology and toxicology and molecular (-genetic), biochemical and cellular pharmacology and toxicology. It also includes all aspects of clinical pharmacology: pharmacokinetics, pharmacodynamics, therapeutic drug monitoring, drug/drug interactions, pharmacogenetics/-genomics, pharmacoepidemiology, pharmacovigilance, pharmacoeconomics, randomized controlled clinical trials and rational pharmacotherapy. For all compounds used in the studies, the chemical constitution and composition should be known, also for natural compounds.
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