Objective: Arterial blood gas (ABG) is essential in the clinical assessment of potential acutely ill patients venous to arterial conversion (v-TAC), a mathematical method, has recently been developed to convert peripheral venous blood gas (VBG) values to arterialized VBG (aVBG) values. The aim of this study is to test the reliability of aVBG compared to ABG in an intensive care unit (ICU) setting. Method: Consecutive patients admitted to the ICU with pH values \<7,35 or \>7,45 are included in this study. Paired ABG and aVBG samples are drawn from patients via arterial catheter, central venous catheter and/or peripheral venous catheter and compared.
Arterial blood gas (ABG) analysis is essential in assessment of respiratory and metabolic status in acutely ill patients. In comparison to peripheral venous blood (PVG) sampling, the ABG sampling procedure is more painful for the patient and technically more challenging for the clinician to perform. Other drawbacks of ABG sampling include adverse events such as subcutaneous hematoma, arterial thrombosis or embolization, and pseudoaneurysms. Peripheral venous blood gas (VBG) sampling has been suggested as an alternative to the ABG procedure. This procedure causes less patient discomfort and the sample can be analysed in combination with other venous blood tests. Studies have revealed that pH and bicarbonate have good correlation, whereas venous and arterial blood gasses (pO2 and pCO2) show low agreement. However, a new method has been developed to calculate ABG values mathematically from peripheral venous blood by use of venous to arterial conversion (v-TAC) software (Obimedical, Denmark), supplemented with oxygen saturation measured by pulse oximetry. The principle of the method is a mathematical transformation of VBG values to arterialized values (aVBG) by simulating the transport of blood back through the tissue. Initial testing of the method in an emergency department setting showed acceptable clinical congruence between arterial and mathematically arterialized pH and pCO2 with a small difference (+/- SD) on 0.001 +/- 0.024 and 0.00 0.46 kPa, respectively. However, inaccurate values of pO2 were seen when oxygen saturation measured by pulse oximetry was above 96%, due to the flat shape of the oxygen dissociation curve (ODC). Although most patients in the ICU have arterial catheters therefrom ABG can be drawn, applying arterial catheter is difficult or even impossible in some patients. In relation to step-down some patients get arterial catheters removed and in the event of deterioration in patients acid-base or respiratory disease aVBG could prove useful as a minimally invasive tool to assess patients status. The aim of this study is to investigate if v-TAC is reliable and safe to use in patients with critically respiratory or metabolic disease admitted to the ICU.
Study Type
OBSERVATIONAL
Enrollment
50
Venous to arterial conversion (v-TAC) is a software (Obimedical, Denmark), which can convert venous blood gas values to arterial blood gas values. The principle of the method is a mathematical transformation of VBG values to arterialized values (aVBG) by simulating the transport of blood back through the tissue. To facilitate this simulation the following physiologically relevant assumptions were made: 1) The peripheral extremity was well perfused; 2) change in base excess across the tissue sampling site was approximately zero; 3) the respiratory quotient (rate of CO2 production and O2 utilisation over capillaries) could not vary outside the range 0.7 and 1.0, and 4) the haemoglobin concentration was constant from artery to vein.
Faculty of Medicine, Doctoral School, Ph.d. study
Aalborg, North Denmark, Denmark
RECRUITINGLin's Concordance correlation coefficient (CCC)
Comparison of pH between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Lin's Concordance correlation coefficient (CCC)
Comparison of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Lin's Concordance correlation coefficient (CCC)
Comparison of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Lin's Concordance correlation coefficient (CCC)
Comparison of pH between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Lin's Concordance correlation coefficient (CCC)
Comparison of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Lin's Concordance correlation coefficient (CCC)
Comparison of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pH between ABG and aVBG (from peripheral venous catheter)
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter).
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter).
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pH between ABG and aVBG (from central venous catheter).
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter).
Time frame: 1. january 2018
Bland and Altman's plot
Mean difference and 95% limits-of-agreement of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter).
Time frame: 1. january 2018
Number of patients with sepsis group.
Number and percentage of patients in 'sepsis' group.
Time frame: 1. january 2018
Number of patient with metabolic disease
Number and percentage of patients in 'metabolic disease' group.
Time frame: 1. january 2018
Number of patient with acute respiratory insufficiency
Number and percentage of patients in 'respiratory disease group' group.
Time frame: 1. january 2018
Mean number of days until pH neutrality in sepsis group
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'sepsis' group.
Time frame: 1. january 2018
Mean number of days until pH neutrality in patients with metabolic disease.
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'metabolic disease' group.
Time frame: 1. january 2018
Mean number of days until pH neutrality in patients with respiratory disease.
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'respiratory disease' group.
Time frame: 1. january 2018
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