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

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ClinicalTrials.gov Identifier: NCT03309423
Recruitment Status : Recruiting
First Posted : October 13, 2017
Last Update Posted : October 13, 2017
Sponsor:
Collaborator:
North Denmark Regional Hospital
Information provided by (Responsible Party):
Mads Lumholdt, Aalborg University

Brief Summary:

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.


Condition or disease Intervention/treatment
Respiratory Insufficiency Metabolic Disease Acidosis Alkalosis Sepsis Abdomen, Acute Diagnostic Test: venous to arterial conversion (v-TAC)

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
Estimated Enrollment : 50 participants
Observational Model: Case-Only
Time Perspective: Prospective
Official Title: Utility of Mathematically Converted Venous to Arterial Blood Gas for Clinical Monitoring
Actual Study Start Date : October 9, 2017
Estimated Primary Completion Date : January 30, 2018
Estimated Study Completion Date : March 30, 2018

Resource links provided by the National Library of Medicine


Group/Cohort Intervention/treatment
Respiratory disease
Patients with acute respiratory insufficiency admitted to the ICU and with pH <7,35 or >7,45
Diagnostic Test: venous to arterial conversion (v-TAC)
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
Diagnostic Test: venous to arterial conversion (v-TAC)
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
Diagnostic Test: venous to arterial conversion (v-TAC)
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.




Primary Outcome Measures :
  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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)

  8. 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).

  9. 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).

  10. 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).

  11. 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).

  12. 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).


Secondary Outcome Measures :
  1. Number of patients with sepsis group. [ Time Frame: 1. january 2018 ]
    Number and percentage of patients in 'sepsis' group.

  2. Number of patient with metabolic disease [ Time Frame: 1. january 2018 ]
    Number and percentage of patients in 'metabolic disease' group.

  3. Number of patient with acute respiratory insufficiency [ Time Frame: 1. january 2018 ]
    Number and percentage of patients in 'respiratory disease group' group.

  4. 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.

  5. 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.

  6. 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.



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Ages Eligible for Study:   Child, Adult, Older Adult
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Probability Sample
Study Population
All patients admitted to the ICU with acid-base and oxygenation parameters outside the normal reference values.
Criteria

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.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03309423


Contacts
Contact: Mads Lumholdt +45 51914156 m.lumholdt@rn.dk
Contact: Kjeld Damgaard +45 51914156 kad@rn.dk

Locations
Denmark
Faculty of Medicine, Doctoral School, Ph.d. study Recruiting
Aalborg, North Denmark, Denmark, 9000
Contact: Christina Elmer, Secretary       doctoral.school@adm.aau.dk   
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         
Sponsors and Collaborators
Aalborg University
North Denmark Regional Hospital
Investigators
Study Director: Peter Leutscher Professor, Center for Clinical Research

Responsible Party: Mads Lumholdt, Principal investigator, Aalborg University
ClinicalTrials.gov Identifier: NCT03309423     History of Changes
Other Study ID Numbers: v-TAC-ICU
First Posted: October 13, 2017    Key Record Dates
Last Update Posted: October 13, 2017
Last Verified: October 2017
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No
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.

Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No

Keywords provided by Mads Lumholdt, Aalborg University:
Blood gas analysis
Critical care
venus to arterial conversion

Additional relevant MeSH terms:
Metabolic Diseases
Respiratory Insufficiency
Pulmonary Valve Insufficiency
Acidosis
Alkalosis
Abdomen, Acute
Respiration Disorders
Respiratory Tract Diseases
Heart Valve Diseases
Heart Diseases
Cardiovascular Diseases
Acid-Base Imbalance
Abdominal Pain
Pain
Neurologic Manifestations
Nervous System Diseases
Signs and Symptoms
Signs and Symptoms, Digestive