Is Venous to Arterial Conversion (v-TAC) of Blood Gas Reliable in Critical Ill Patients in the ICU?

October 12, 2017 updated by: Mads Lumholdt, Aalborg University

Utility of Mathematically Converted Venous to Arterial Blood Gas for Clinical Monitoring

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.

Study Overview

Detailed Description

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 (Anticipated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Kjeld Damgaard
  • Phone Number: +45 51914156
  • Email: kad@rn.dk

Study Locations

    • North Denmark
      • Aalborg, North Denmark, Denmark, 9000
        • Recruiting
        • Faculty of Medicine, Doctoral School, Ph.d. study
        • Contact:
        • Principal Investigator:
          • Mads Lumholdt, Cand. Med.
        • Principal Investigator:
          • Kjeld Damgaard, Cand. Med. Ph.d.
        • Sub-Investigator:
          • Erika Christensen, Cand. Med. Professor
        • Sub-Investigator:
          • Peter Leutscher, Cand. Med. Professor

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

All patients admitted to the ICU with acid-base and oxygenation parameters outside the normal reference values.

Description

Inclusion Criteria:

  • All patients admitted to the intensive care with the following:
  • Arterial catheter for other purpose.
  • Peripheral venous catheter or central venous catheter for other purpose.

Exclusion Criteria:

  • Normal pH in arterial blood gas.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Only
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Respiratory disease
Patients with acute respiratory insufficiency admitted to the ICU and with pH <7,35 or >7,45
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.
Metabolic disease
Patients with acute metabolic disease admitted to the ICU and with pH <7,35 or >7,45
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.
Sepsis
Patients with acute sepsis admitted to the ICU and with pH <7,35 or >7,45
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pH between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pH between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Lin's Concordance correlation coefficient (CCC)
Time Frame: 1. january 2018
Comparison of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter). The closer CCC is to 1 the better correlation.
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pH between ABG and aVBG (from peripheral venous catheter)
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter).
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from peripheral venous catheter).
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pH between ABG and aVBG (from central venous catheter).
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pCO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter).
1. january 2018
Bland and Altman's plot
Time Frame: 1. january 2018
Mean difference and 95% limits-of-agreement of pO2 (Unit of Measurement: kilopascal) between ABG and aVBG (from central venous catheter).
1. january 2018

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of patients with sepsis group.
Time Frame: 1. january 2018
Number and percentage of patients in 'sepsis' group.
1. january 2018
Number of patient with metabolic disease
Time Frame: 1. january 2018
Number and percentage of patients in 'metabolic disease' group.
1. january 2018
Number of patient with acute respiratory insufficiency
Time Frame: 1. january 2018
Number and percentage of patients in 'respiratory disease group' group.
1. january 2018
Mean number of days until pH neutrality in sepsis group
Time Frame: 1. january 2018
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'sepsis' group.
1. january 2018
Mean number of days until pH neutrality in patients with metabolic disease.
Time Frame: 1. january 2018
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'metabolic disease' group.
1. january 2018
Mean number of days until pH neutrality in patients with respiratory disease.
Time Frame: 1. january 2018
Mean number of days until patients ABG pH was within the range 7.35-7.45 in 'respiratory disease' group.
1. january 2018

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Peter Leutscher, Professor, Center for Clinical Research

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 9, 2017

Primary Completion (Anticipated)

January 30, 2018

Study Completion (Anticipated)

March 30, 2018

Study Registration Dates

First Submitted

October 4, 2017

First Submitted That Met QC Criteria

October 12, 2017

First Posted (Actual)

October 13, 2017

Study Record Updates

Last Update Posted (Actual)

October 13, 2017

Last Update Submitted That Met QC Criteria

October 12, 2017

Last Verified

October 1, 2017

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

IPD Plan Description

IPD will be stored in safe government controlled data drives and paper data will be stored in a secure office. Doors to this office will be closed when investigators are not present. Sensitive IPD will not be shared with external researchers.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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