The goal of this observational study is to validate the performance of the novel POCT dry blood gas analyzer EG-i30, against the currently widely used traditional wet blood gas analyzer, Radiometer ABL90, in acute care settings. The main questions it aims to answer are: 1. How consistent are the results between EG-i30 and ABL90 in acute care settings, including outliers, correlation, linearity, and bias? 2. Whether EG-i30 can be considered a suitable alternative to ABL90 in acute care settings. Participants will be patients in the emergency department who will undergo simultaneous testing with EG-i30 and ABL90 during their emergency care to assess the performance of EG-i30.
This observational study aims to compare the performance of two blood gas analyzers, the EG-i30 dry blood gas analyzer and the ABL90 wet blood gas analyzer, in an emergency department (ED) or emergency intensive care unit (ICU) setting. The study will evaluate the consistency, correlation, and bias between the two analyzers for various blood gas and biochemical parameters, such as Potential of hydrogen (pH), Partial pressure of oxygen (PaO2), Partial pressure of carbon dioxide (PaCO2), Sodium (Na+), Potassium (K+), Chloride (Cl-), Ionized calcium (iCa2+), Lactate (Lac), Glucose (Glu), and Hematocrit (Hct). The study design is observational, with no intervention or treatment assigned to the participants. The comparison will be made using residual blood samples collected as part of routine care, following standard clinical procedures.
Study Type
OBSERVATIONAL
Enrollment
216
This group involves the use of the ABL90 wet blood gas analyzer for measuring arterial whole blood samples. The results obtained from the ABL90 analyzer will be compared with those obtained from the EG-i30 dry blood gas analyzer
This group involves the use of the EG-i30 dry blood gas analyzer for measuring arterial whole blood samples. The results obtained from the EG-i30 analyzer will be compared with those obtained from the ABL90 wet blood gas analyzer.
Zhujiang Hospital, Southern Medical University Organization
Guangzhou, Guangdong, China
Consistency between EG-i30 and ABL90 analyzers for blood gas and biochemical parameters.
This outcome measures is to evaluate the consistency between the EG-i30 dry blood gas analyzer and the ABL90 wet blood gas analyzer. Consistency will be assessed by comparing the results of blood gas and biochemical parameters (e.g., pH, PaO2, PaCO2, Na+, K+, Cl-, iCa2+, Lac, Glu, and Hct) and will be evaluated using Bland-Altman analysis.
Time frame: Within 2 minutes after arterial blood sample collection
Correlation between EG-i30 and ABL90 analyzers for blood gas and biochemical parameters.
This outcome measures the correlation between the EG-i30 and ABL90 analyzers for blood gas and biochemical parameters (e.g., pH, PaO2, PaCO2, Na+, K+, Cl-, iCa2+, Lac, Glu, and Hct). The correlation will be quantified using Pearson's correlation coefficient.
Time frame: Within 2 minutes after arterial blood sample collection
Bias at clinical decision levels between EG-i30 and ABL90 analyzers.
This outcome measure is to evaluate the bias at clinical decision levels between the EG-i30 and ABL90 analyzers. Bias will be assessed by calculating the difference in the results of key blood gas and biochemical parameters (e.g., pH, PaO2, PaCO2, Na+, K+, Cl-, iCa2+, Lac, Glu, and Hct) between the two analyzers at clinically relevant thresholds. These thresholds will be based on established clinical decision points where treatment decisions are made.
Time frame: Within 2 minutes after arterial blood sample collection
Outlier Detection in Blood Gas and Biochemical Parameters
This outcome measure aims to identify and evaluate outliers in the blood gas and biochemical parameters (e.g., pH, PaO2, PaCO2, Na+, K+, Cl-, iCa2+, Lac, Glu, and Hct) measured by the EG-i30 and ABL90 analyzers. Outliers will be detected using statistical methods such as the Grubbs test or the Interquartile Range (IQR) method. The impact of these outliers on the consistency and accuracy of the measurements will also be assessed.
Time frame: Within 2 minutes after arterial blood sample collection
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