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Journal of Research in Medical Sciences، جلد ۲۷، شماره ۱۴، صفحات ۲۰۲۲-۲۷

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عنوان انگلیسی Estimating the best fraction of inspired oxygen for calculation of PaO2/FiO2 ratio in acute respiratory distress syndrome due to COVID?19 pneumonia
چکیده انگلیسی مقاله Background: The ratio of partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspiratory oxygen concentration (FiO2) is an indicator of pulmonary shunt fraction. PaO2/FiO2 (P/F) ratio is used to classify severity of acute respiratory distress syndrome (ARDS). With the same shunt fraction, P/F ratio decreases with increases in FiO2 which may lead to errors in classifying severity of ARDS. The effect of FiO2 on P/F ratio has not been investigated in COVID?19 pneumonia. In this study, we estimated the best FiO2 for the calculation of P/F ratio in a sample of patients with ARDS due to COVID?19 pneumonia. Materials and Methods: Blood gas and ventilatory data of 108 COVID?19 ARDS patients were analyzed in a cross?sectional observational study. Using Oxygen Status Algorithm the calculated shunt fraction served a basis for calculating P/F ratio for different FiO2. The severity of ARDS determined by P/F ratios at each FiO2s was compared with the shunt?based severity to find the optimum FiO2 for calculation of P/F ratio so the resulting classification has the best match with the reference classification. Results: A FiO2 of 1.0 for calculation of P/F ratio and ARDS classification showed the best match with shunt?based ARDS classification. A regression model was obtained with the PaO2, patient’s original FiO2, Hemoglobin concentration, and SaO2 as the independent predictors of the P/F ratio for the FiO2 of 1.0. Conclusion: This study shows a FiO2 of 1.0 as the best value for correct calculation of P/F ratio and proper classification of ARDS.
کلیدواژه‌های انگلیسی مقاله Acute respiratory distress syndrome, COVID?19, mechanical ventilation, oxygenation indices, P/F ratio, pulmonary

نویسندگان مقاله | Leila Kadkhodai


| Mahmoud Saghaei


| Mohammadreza Habibzadeh


| Babak Alikiaii


| Seyed Jalal Hashemi



نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/11343
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Article
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