Evaluation of Non-Invasive Oxygen Saturation Index Compared With Oxygenation Index in Pulmonary and Non-Pulmonary Patients Admitted in PICU

• Main Authors: Mohsen Alisamir, Mohhammadreza Mirkarimi, Somayeh Hajatnia, Masoud Zadkarami
• Format: Article
• Language: English
• Published: Tehran University of Medical Sciences 2020-06-01
• Series: Acta Medica Iranica
• Subjects: Oxygen saturation index (OSI); Oxygenation index (OI); Intubated patients; Acute respiratory distress syndrome
• Online Access: https://acta.tums.ac.ir/index.php/acta/article/view/8044

The Oxygenation Index (OI= [MAP×FiO2]/PaO2×100), an invasive diagnostic criterion, is routinely used as a marker of severity of acute respiratory distress syndrome (ARDS). In order to determine of OI, arterial blood gas (ABG) through an invasive procedure is indispensably used to obtain PaO2. The Oxygenation saturation Index (OSI= [MAP×FiO2]/ SPO2 ×100), as an alternative method, can be implemented using pulse oximetry to assess SpO2. For this epidemiologic-analytic study, 74 intubated patients admitted in a pediatric intensive care unit of Abouzar hospital of Ahvaz during the first 3-day admission were selected equally in pulmonary and non-pulmonary groups within a six months period, from January 1, 2019, to May 31, 2019. Two indexes of OI and OSI in both patients were evaluated, and eventually, the results were analyzed by linear regression using Spss. A comparison of the two OI and OSI indexes showed a meaningful relationship was found (P<0.001), which has a higher correlation coefficient of 0.726 in patients with the pulmonary disease than non-pulmonary patients with 0.394. The present study demonstrates that the index of oxygen saturation (OSI) with a sensitivity of 78% and specificity of 83% in the patients without acute pulmonary distress syndrome is a suitable indicator instead of the invasive index of OI. Also, in patients with pulmonary disease that meet the medium range of Berlin criteria, with a sensitivity of 100% and specificity of 76%, the OSI index can be used to predict the status of patients.