Abstract
Background
Arterial blood gases (ABG) are essential for assessment of patients with severe illness, but sampling is difficult in some settings and more painful than for peripheral venous blood gas (VBG). Venous to Arterial Conversion (v-TAC; OBIMedical ApS, Denmark) is a method to calculate ABG values from a VBG and pulse oximetry (SpO2). The aim was to validate v-TAC against ABG for measuring pH, carbon dioxide (pCO2) and oxygenation (pO2).
Methods
Of 103 sample sets, 87 paired ABGs and VBGs with SpO2 from 46 inpatients eligible for ABG met strict sampling criteria. Agreement was evaluated using mean difference with 95% limits of agreement (LoA) and Bland-Altman plots.
Results
v-TAC had very high agreement with ABG for pH (mean diff(ABG–v-TAC) -0.001; 95% LoA -0.017 to 0.016), pCO2 (-0.14 kPa; 95% LoA -0.46 to 0.19) and moderate to high for pO2 (-0.28 kPa; 95% LoA -1.31 to 0.76). For detecting hypercapnia (PaCO2>6.0 kPa), v-TAC had sensitivity 100%, specificity 93.8% and accuracy 97%. The accuracy of v-TAC for detecting hypoxemia (PaO2<8.0 kPa) was comparable to that of pulse oximetry. Agreement with ABG was higher for v-TAC than for VBG for all analyses.
Conclusion
Calculated arterial blood gases (v-TAC) from a venous sample and pulse oximetry were comparable to ABG values and may be useful for evaluation of blood gases in clinical settings. This could reduce the logistic burden of arterial sampling, facilitate improved screening and follow-up and reduce patient pain.
Introduction
Arterial blood gases (ABG) are essential in everyday clinical care for evaluating acid-base status (pH), level of carbon dioxide (PaCO2) and oxygenation (PaO2) in patients with cardio-respiratory disease and severe illness. ABG is the current gold standard for assessing the need for acid-base correction, ventilator therapy and treatment with supplemental oxygen.[1–3]
ABG sampling is time consuming and might not be feasible in some settings as it needs to be performed by a physician or specially trained health care worker. This is especially problematic when blood gases need to be repeated to monitor the patient’s status over time. An indwelling arterial catheter is an option in these patients, but is used mostly in the intensive care unit (ICU) setting. Arterial sampling is more painful for the patient compared with puncture for a peripheral venous blood gas (VBG).[4, 5] Insufficient assessment of blood gases and excessive oxygen supply in patients with suspected chronic obstructive pulmonary disease (COPD) has been related to increased mortality.[2, 6] Due to the logistic burden and discomfort related to ABG sampling, alternative techniques to obtain arterial blood gas values are desired.
Current alternatives to ABG for assessing blood gases have important limitations. In a recent study in patients with an acute COPD exacerbation, VBG had high agreement with ABG for pH (mean ABG-VBG difference 0.03; 95% limits of agreement [LoA], -0.05 to 0.11) but agreement was lower for pCO2 (-0.75 kPa; 95% LoA, -2.91 to 1.41 kPa).[4] Although a venous pCO2 below 6.0 kPa had 100% sensitivity to exclude hypercapnia (PaCO2 < 6.0 kPa), specificity was only 57% and VBG was insufficient to evaluate the level of PaCO2 in the individual patient.[4, 7] VBG is also not useful for evaluating pO2.[2, 4, 7] Pulse oximetry is valuable for excluding hypoxemia but has limited specificity and precision for determining the presence of hypoxemia or its severity.[8] Pulse oximetry is therefore not recommended for evaluating the need for long-term oxygen therapy,[1] and gives no information concerning pH and pCO2.[2] Arterialized capillary gases from the earlobe can give measures of pH and pCO2 that are close to those of ABG and sampling is less painful.[2, 9] However, assessment of arterialized capillary gases requires standardized patient preparations, sampling and processing by specially trained staff and does not give accurate information on pO2.[2, 5, 9, 10]
v-TAC (Venous to Arterial Conversion Method) is a recent technique to obtain calculated ABG values based on a peripheral venous blood gas (VBG) and oximetry from a fingertip (SpO2).[11–14] The method has been evaluated by the developers in people with respiratory compromise including patients in emergency and intensive care, with reported v-TAC values of pH, pCO2 and pO2 similar to those of a concurrent ABG.[11–14] However, there has to date been no independent validation of v-TAC among inpatients with cardiopulmonary disease in clinical care.
The aim of the present study was to evaluate the agreement and clinical usefulness of v-TAC and VBG compared with ABG for the measurement of pH, pCO2 and pO2 among hospitalized patients eligible for blood gas assessment.
Material and methods
Design and eligibility
This was a cross-sectional comparison of v-TAC with ABG and VBG at the Department of Medicine, Blekinge Hospital, Karlskrona, Sweden. The study was approved by the Regional Ethics Committee of Lund University (Dnr: 2016/520). All participants provided written informed consent and the protocol the protocol is consistent with the principles of the Declaration of Helsinki. The paper is reported in accordance with recommendations for non-randomized trials [15] and comparing diagnostic tests.[16]
Patient inclusion criteria (all needed) were: age ≥ 18 years; hospitalized in the internal medicine and respiratory ward; had an indication for ABG assessment as judged by the responsible physician; SpO2 ≥ 75% in both hands; sufficient blood perfusion in both hands according to clinical status (adequate temperature, color, palpable radial pulse and normal reperfusion time [< 2 seconds]); possibility to take a peripheral antecubital venous sample and radial ABG in one of the arms as judged by the specialized study nurse; clinical stability before and during the sampling; and ability to provide informed written consent.
Exclusion criteria for blood samples were: time between ABG and VBG > 5 min; time between VBG and arrival to the laboratory > 15 min; time between VBG and analysis > 30 min; evidence of errors in sampling, processing and analysis such as visible gas bubbles, blood clots or unphysiological values for stable patients (arterial < venous for pH and pO2; arterial > venous for pCO2).
Procedures and assessments
The study procedures were established and refined based on a pilot phase of 14 samples, which were not included in the main analysis. For the main study, patients admitted to the ward of pulmonary and internal medicine at the Department of Medicine, Karlskrona, Sweden were screened for eligibility by a specially trained nurse (AE) together with the responsible physician (including ME and AI) 2–3 days each week. Eligibility was confirmed in accordance with the inclusion and exclusion criteria and all participants obtained oral and written study information and provided written consent.
Assessments were performed and recorded by the trained study nurse (AE) in a standardized fashion. First, pulse oximetry was performed in both hands to confirm eligibility, and then continuously during the procedure on the non-test arm (to enable continuous measurement during venous sampling with tourniquet). SpO2 was measured using the same pulse oximeter (Rad-5v, Masimo, Neuchatel, Switzerland) for all patients for standardization and using finger probe as ear probe might be less reliable.[17] Second, an ABG was taken from the radial artery of the test arm using a standard arterial sample kit (Pro-Vent, Smiths Medical SD, Keene, USA) according to standard procedures. Third, an antecubital VBG was taken on the same test arm using a butterfly (BD Vacutainer, Becton Dickinson and Company, NJ, USA) and a blood gas sample kit (safePICO Aspirator, Radiometer Medical ApS, Brønshøj, Denmark). The samples were labeled with patient ID and assessment time and were not placed on ice. Data on patient and sample IDs, date and times of each assessment, test arm, and the mean SpO2 during the VBG puncture were recorded on a standardized study sheet.
The samples were not put on ice and were carried directly by hand to the Department of Clinical Chemistry situated in the same building. ABG and VBG values were analyzed using certified routine diagnostic methods on the instrument ABL800 FLEX (Radiometer Medical ApS, Denmark).
v-TAC values of pH, pCO2 and pO2 were calculated using the v-TAC software by OBI Medical based on the VBG values and concurrent SpO2. The v-TAC software by principle is a mathematical model of acid–base chemistry of blood, based on mass action and mass balance equations, including the effects of oxygen on the buffering characteristics of hemoglobin and the Bohr-Haldane effects, and a simulation algorithm that uses the mathematical model to simulate the mixing of venous blood with the same blood at elevated pO2 and reduced pCO2 levels until the calculated arterial saturation equals the measured SpO2. A detailed description of the method has been published elsewhere.[11, 12] The calculation of the v-TAC values was blinded to the ABG values. A patient could be sampled several times on separate days. Feasibility and validity of the procedures were evaluated in an interim analysis after ten collected samples.
Clinical characteristics were retrieved by one of the authors (AI) from the patients’ medical records regarding age, sex, primary cause of admission, comorbidities, date and values of latest spirometry and vital parameters (breathing frequency, blood pressure, pulse, and temperature) on the day of each test.
Statistical analyses
Characteristics of patients and samples were tabulated as means with standard deviation (SD) and medians with range or interquartile range (IQR) for continuous variables with normal and skewed distribution, respectively. Categorical variables were expressed as frequencies and percentages. Correlations and comparisons were analyzed using mixed effects linear regression accounting for repeated assessments.
Mean difference in pH, pCO2 and pO2 was calculated for ABG–v-TAC and ABG–VBG, respectively. All comparisons were performed between the paired (concurrent) ABG and VBG. As v-TAC does not report pO2 values above 10 kPa these sample sets were not included in the analysis. Agreement of v-TAC and VBG with ABG was analyzed using Bland-Altman plots and 95% limits of agreement (LoA) were calculated.[18] As several assessments could be taken in the same patient on separate days, the LoAs were adjusted for repeated measurements to allow for clustering of values within each participants, using the method described by Bland and Altman (LoA = mean difference ± 2.77× standard deviation for samples within each participant).[18] Sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) were calculated for v-TAC and VBG and compared with ABG, for detecting hypercapnia (PaCO2 > 6.0 kPa), hypoxemia (PaO2 < 8.0 kPa) and severe hypoxemia (PaO2 < 7.4 kPa).
The analyses were performed on all included samples and for samples with SpO2 ≤ 88%, SpO2 ≤ 90% and SpO2 > 90%, respectively. To explore the influence of the sample eligibility criteria on the findings, a sensitivity analysis including all collected samples without visible air bubbles was conducted. Based on previous studies of v-TAC,[11–13] the sample size was pre-specified as 100 collected sample sets. Statistical significance was defined as two-sided p-value < 0.05. Statistical analyses were performed using the software package Stata version 14.2 (StataCorp LP; College Station, TX).
Results
Between 21 Aug and 31 Oct 2017, a total 103 complete sample sets of consecutive ABG and VBG were collected. When evaluated against the quality criteria, 16 sets were excluded due to unphysiological values (n = 5), air bubbles in the syringe (n = 4), time between ABG and VBG > 5 min (n = 4), hyperventilation between the tests (n = 2) or SpO2 < 75% (n = 1).
The final analysis included 87 sample sets from 46 patients. Patient characteristics are shown in Table 1; mean age was 73.7 years, 61% were men, and the primary causes of admission were COPD exacerbation, heart disease and bacterial infection. The median time between the ABG and VBG was 3 (IQR 2–5) minutes, and the median time between VBG sampling and analysis was 9 (IQR 7–11) minutes (Table 1). The mean difference in saturation between ABG and pulse oximetry (SaO2–SpO2) was -0.6 (SD 2.6) percent points.
Table 1. Patient baseline characteristics.
| Factor | Value |
|---|---|
| N | 46 |
| Age, mean (SD) | 73.7 (12.7) |
| Males | 28 (61%) |
| Primary cause of admission | |
| COPD exacerbation | 13 (28%) |
| Heart disease | 10 (22%) |
| Bacterial infection | 8 (17%) |
| Cancer | 2 (4%) |
| Hypoventilation | 1 (2%) |
| Pulmonary fibrosis | 1 (2%) |
| Pulmonary embolism | 2 (4%) |
| Other | 9 (20%) |
| Comorbidities | |
| Heart_disease | 24 (52%) |
| COPD exacerbation | 19 (41%) |
| Bacterial infection | 10 (22%) |
| Cancer | 10 (22%) |
| Hypoventilation | 4 (9%) |
| Pulmonary fibrosis | 2 (4%) |
| Pulmonary embolism | 2 (4%) |
| FEV1, mean (SD) | 1.13 (0.41) |
| FVC, mean (SD) | 1.94 (0.60) |
| FEV1/FVC, mean (SD) | 0.60 (0.18) |
| Number of samples per person | |
| 1 | 26 (57%) |
| 2 | 12 (26%) |
| 3 | 4 (9%) |
| 5 | 1 (2%) |
| 6 | 3 (7%) |
| Minutes between arterial and venous sample, median (IQR) | 3 (2–5) |
| Minutes between venous sample and analysis, median (IQR) | 9 (7–11) |
Data are presented as mean (standard deviation) or frequency (percent) unless otherwise stated.
Abbreviations: FEV1 = forced expired volume in one second; FVC = forced vital capacity; SD = standard deviation.
Mean differences between ABG and v-TAC or VBG, respectively, are shown in S1 Fig in the online supplement. Compared with VBG, v-TAC yielded values closer to those of ABG for both pH, pCO2 and pO2. Bland-Altman plots are shown in Fig 1. Agreement was high between v-TAC and ABG for pH (mean diff(ABG–v-TAC) -0.001; 95% LoA -0.017 to 0.016) and pCO2 (-0.14 kPa; 95% LoA -0.46 to 0.19), and moderate for pO2 (-0.28; 95% LoA -1.31 to 0.76), Table 2. Agreement was higher for v-TAC than for VBG for all analyses. The findings were similar between samples with SpO2 ≤ 90% and SpO2 > 90% (Table 2). v-TAC and ABG values were strongly correlated for pH (r = 0.98), pCO2 (r = 0.99) and moderately for pO2 (r = 0.81), p < 0.001 for all correlations.
Fig 1. Bland Altman plots of agreement.
Mean difference (solid line) with 95% limits of agreement (dashed lines), adjusted for repeated assessments (87 measurements in 46 patients). Agreement is shown for v-TAC vs. ABG regarding a) pH; b) pCO2; c) pO2.
Table 2. Comparison of pH, pCO2 and pO2 of v-TAC and venous blood gas compared with arterial blood gas.
| Factor | All samples | Samples with SpO2≤90% | Samples with SpO2>90% | P-value between SpO2 groups * |
|---|---|---|---|---|
| Minutes between ABG and VBG, median (IQR) | 3 (2, 5) | 3 (2, 4) | 3 (2, 5) | 0.27 |
| pH | ||||
| N samples | 87 | 34 | 53 | |
| ABG, mean (SD) | 7.43 (0.05) | 7.42 (0.05) | 7.43 (0.05) | 0.65 |
| v-TAC, mean (SD) | 7.43 (0.05) | 7.42 (0.05) | 7.43 (0.05) | 0.31 |
| Difference ABG–v-TAC, mean (SD) | -0.001 (0.010) | -0.004 (0.009) | -0.0001 (0.011) | 0.50 |
| 95% limits of agreement | -0.017 to 0.016 | -0.015 to 0.014 | -0.015 to 0.013 | |
| VBG, mean (SD) | 7.41 (0.05) | 7.41 (0.06) | 7.41 (0.05) | 0.97 |
| Difference ABG-VBG, mean (SD) | 0.021 (0.023) | 0.016 (0.023) | 0.025 (0.023) | 0.087 |
| 95% limits of agreement | -0.018 to 0.060 | -0.012 to 0.043 | -0.010 to 0.059 | |
| pCO2 | ||||
| N samples | 87 | 34 | 53 | |
| ABG, mean (SD) | 6.08 (1.45) | 6.76 (1.41) | 5.64 (1.30) | 0.130 |
| v-TAC, mean (SD) | 6.21 (1.42) | 6.89 (1.39) | 5.78 (1.27) | 0.043 |
| Difference ABG–v-TAC, mean (SD) | -0.14 (0.21) | -0.13 (0.20) | -0.14 (0.21) | 0.97 |
| 95% limits of agreement | -0.46 to 0.19 | -0.44 to 0.18 | -0.41 to 0.13 | |
| VBG, mean (SD) | 6.78 (1.58) | 7.34 (1.56) | 6.42 (1.49) | 0.39 |
| Difference ABG–VBG, mean (SD) | -0.70 (0.60) | -0.58 (0.62) | -0.79 (0.58) | 0.158 |
| 95% limits of agreement | -1.66 to 0.25 | -1.32 to 0.16 | -1.61 to -0.04 | |
| pO2 | ||||
| N samples | 70 | 34 | 36 | |
| ABG, mean (SD) | 7.84 (1.11) | 7.06 (0.73) | 8.93 (1.03) | <0.001 |
| v-TAC, mean (SD) | 8.12 (0.96) | 7.37 (0.63) | 8.83 (0.63) | <0.001 |
| Difference ABG–v-TAC, mean (SD) | -0.28 (0.65) | -0.31 (0.56) | -0.25 (0.74) | 0.96 |
| 95% limits of agreement | -1.31 to 0.76 | -1.19 to 0.57 | -1.11 to 0.62 | |
| VBG, mean (SD) | 5.61 (1.52) | 5.60 (1.29) | 5.61 (1.66) | 0.92 |
| Difference ABG–VBG, mean (SD) | 2.59 (1.89) | 1.46 (1.41) | -3.32 (1.81) | <0.001 |
| 95% limits of agreement | -0.35 to 5.54 | -0.022 to 3.15 | 0.69 to 5.94 |
The 95% limits of agreement are adjusted for repeated measurements in the same patient.[18] The number of sample sets is lower for pO2 as v-TAC does not report values > 10 kPa.
* Means are compared between samples with SpO2 ≤ 90% and SpO2 > 90% using random effects regression which accounts for repeated measurements.
Abbreviations: ABG = arterial blood gas; IQR = interquartile range; pCO2 = partial pressure of carbon dioxide in blood; pO2 = partial pressure of oxygen in blood; SD = standard deviation; VBG = venous blood gas; SpO2 = oxygen saturation from pulse oximetry; v-TAC = calculated arterial blood gas values from VBG and pulse oximetry.
Sensitivity, specificity and predictive values for v-TAC, VBG and SpO2 as compared with ABG are shown in Table 3. v-TAC identified all cases of hypercapnia (PaCO2 > 6.0 kPa; sensitivity 100%), as did VBG, but had higher accuracy for hypercapnia (97% vs. 84% for VBG). v-TAC was highly specific for the presence of hypoxemia (PaO2 < 8.0 kPa) and severe hypoxemia (PaO2 < 7.4 kPa). Consistently, v-TAC identified all patients with severe hypoxemia (PPV 100%). The accuracy of v-TAC for detecting hypoxemia was similar to that of pulse oximetry. v-TAC was more accurate than VBG for all analyses (Table 2). All findings were similar when analyzing all available sample sets without air bubbles (n = 99).
Table 3. Sensitivity, specificity and predictive values of v-TAC, VBG and SpO2 for hypercapnia and hypoxemia compared with ABG.
| ABG | v-TAC | VBG | SpO2 ≤ 90% | SpO2 ≤ 88% | |
|---|---|---|---|---|---|
| Hypercapnia (PaCO2 > 6.0 kPa), N = 39 (44.8%) | |||||
| Sensitivity | ref | 100.0 (91.0–100.0) | 100.0 (91.0–100.0) | ||
| Specificity | ref | 93.8 (82.8–98.7) | 68.8 (53.7–81.3) | ||
| Accuracy (AUC) | ref | 97 (93–100) | 84 (78–91) | ||
| PPV | ref | 92.9 (80.5–98.5) | 72.2 (58.4–83.5) | ||
| NPV | ref | 100.0 (92.1–100.0) | 100.0 (89.4–100.0) | ||
| Hypoxemia (PaO2 < 8.0 kPa), N = 43 (49.4%) | |||||
| Sensitivity | ref | 60.5 (44.4–75.0) | 97.7 (87.7–99.9) | 72.1 (56.3–84.7) | 41.9 (27.0–57.9) |
| Specificity | ref | 93.2 (81.3–98.6) | 11.4 (3.8–24.6) | 93.2 (81.3–98.6) | 97.7 (88.0–99.9) |
| Accuracy (AUC) | ref | 77 (69–85) | 55 (49–60) | 83 (75–90) | 70 (62–78) |
| PPV | ref | 89.7 (72.6–97.8) | 51.9 (40.5–63.1) | 91.2 (76.3–98.1) | 94.7 (74.0–99.9) |
| NPV | ref | 70.7 (57.3–81.9) | 83.3 (35.9–99.6) | 77.4 (63.8–87.7) | 63.2 (50.7–74.6) |
| Severe hypoxemia (PaO2 < 7.4 kPa), N = 25 (28.7%) | |||||
| Sensitivity | ref | 64.0 (42.5–82.0) | 100.0 (86.3–100.0) | 92.0 (74.0–99.0) | 68.0 (46.5–85.1) |
| Specificity | ref | 100.0 (94.2–100.0) | 16.1 (8.0–27.7) | 82.3 (70.5–90.8) | 96.8 (88.8–99.6) |
| Accuracy (AUC) | ref | 82 (72–92) | 58 (53–63) | 87 (80–94) | 82 (73–92) |
| PPV | ref | 100.0 (79.4–100.0) | 32.5 (22.2–44.1) | 67.6 (49.5–82.6) | 89.5 (66.9–98.7) |
| NPV | ref | 87.3 (77.3–94.0) | 100.0 (69.2–100.0) | 96.2 (87.0–99.5) | 88.2 (78.1–94.8) |
Data presented as percent (95% confidence interval). Values for acidosis could not be calculated due to few cases (stable patients).
Abbreviatons: AUC = area under the curve of receiver operating analysis; NPV = negative predictive value (% of negatives that are true negatives); PPV = positive predictive value (% of positives that are true positives); for others see Table 2.
Discussion
The main findings are that v-TAC has very high agreement with an ABG for level of pH and level of pCO2 and moderate to high agreement for pO2. v-TAC was more accurate than VBG for all measures.
This is the first published evaluation of v-TAC performed independently from the software developers. The present findings pertain to stable inpatients in a general respiratory and internal medicine ward. The results are consistent with previous reports from the developers in respiratory inpatients and patients admitted from an emergency department [14] and intensive care unit.[13]
Strengths of the present study are that it includes a relevant target population of inpatients with a range of cardiopulmonary conditions eligible for blood gas measurement. Sampling was standardized and conducted by a dedicated specially trained research nurse. The main analysis included only samples that met strict quality criteria. There were no signs of selection bias due to the eligibility criteria, as findings were robust when analyzing all available samples. The analysis aligned to recent recommendations on the comparison of diagnostic tests.[16]
Several limitations should be noted. Consecutive ABGs were not performed, as to optimize feasibility and validity of the sampling procedures (as ABG sampling is time consuming) and to limit patient burden and pain. Repeatability was not calculated between samples performed in the same patient, as the repeated assessments were taken on separate days. The observed mean difference in pO2 between ABG and v-TAC in the present study was not seen in previous reports.[11, 13, 19] This difference may represent a random variation or may be due to the average time from sampling to analysis of approximately 10 minutes, during which diffusion or continued metabolism in blood cells in the sample could lower the pO2 preferentially in oxygenated arterial blood.[20–22] The range of arterial pH was quite narrow with too few cases to permit analysis of acidosis or alkalosis, as testing was performed in patients who were in stable clinical conditions during the sampling. Sampling during clinical stability is essential when evaluating the agreement between tests as any change in the patient’s status between samples could bias the comparison. v-TAC was previously reported to be accurate also in hemodynamically unstable patients including patients treated with supplemental oxygen and non-invasive ventilation.[13] Strict sample eligibility criteria were applied to optimize the evaluation’s validity of the present evaluation.
The present findings have several potential clinical implications. v-TAC might be useful for routine evaluation of acid-base status and blood gases in some clinical settings and could reduce the need of arterial sampling. For ruling out acidosis and hypercapnia, normal values on a VBG may be sufficient, but more than 30% of elevated pCO2 values on VBG were false positives (PPV 68.8%). In contrast, v-TAC was more accurate for level of pH and pCO2 with values practically identical to those of the concurrent ABG. Importantly, v-TAC was superior for level of pCO2 compared with correcting the VBG value using the mean ABG-VBG difference, due to variation in the VBG value for the individual. V-TAC was more accurate than VBG for all measures.
Hypoxemia can be reliably excluded using pulse oximetry and the accuracy for detecting the presence of hypoxemia was similar between v-TAC and pulse oximetry. For assessing the level of hypoxemia (pO2), v-TAC was less accurate than for pH and pCO2, but the agreement between v-TAC and ABG was actually similar to or better than that reported between two consecutive ABGs.[13, 23, 24] The agreement between two consecutive ABGs was recently evaluated by Mallat et al.[23] Comparing two ABGs directly after each other using an arterial line in 192 stable intensive care patients,[23] the limits of agreement for PaO2 between two ABGs was ±1.2 kPa (9.1 mmHg), which is similar to the agreement for pO2 between v-TAC and ABG in the present study. For the clinician, this has two important implications: firstly, PaO2 is less precise than pH and PaCO2 and varies in a clinically significant way between consecutive ABGs. Therefore, pO2 and the level of hypoxemia should be evaluated by repeated measurements. The minimum detectable difference in PaO2 is about 1.2 kPa,[23] which makes ABG problematic as a “gold standard” when evaluating the patient’s pO2 and when evaluating other diagnostic methods. Secondly, for determining pO2, the performance of v-TAC is similar to that of ABG but is associated with lower risk of haematoma and markedly less pain.[4] Thus, v-TAC may be useful for repeated measurement and follow-up of blood gases. Capillary blood gas (CBG) assessment does not provide any advantages compared to v-TAC for measuring pH, pCO2 or pO2.[5, 19] In terms of implementation, v-TAC is a stand-alone software application that works together with existing blood gas analyzers on the market.
Clinical situations where v-TAC may be less useful and where further data are needed include in patients with hemodynamical instability and decreased peripheral perfusion; rapidly changing clinical status; SpO2 < 75%; dark skin; and when a peripheral venous sample cannot be obtained. Accurate entry of the SpO2 is important mainly for v-TAC prediction of pO2 whereas pH and pCO2 are relative robust to inaccurate SpO2 values.[11–14] As in all blood gas assessment, standardized valid sampling and analysis procedures are key to minimize pre-analytical error.
Supporting information
Mean difference for v-TAC and VBG compared to ABG for a) pH; b) pCO2; and c) pO2.
(PPTX)
Acknowledgments
The authors thank Sofia Petersson at the Department of Clinical Chemistry, Karlskrona for important administrative help; the staff at wards 55 and 57 at Blekinge Hospital for help with recruiting patients and sample collection; and not least the patients who made this research possible.
Data Availability
In accordance with Swedish research laws and regulations and the ethical approval for the study, the de-identified study data can be made available to researchers upon request after approval by the ethical Review board (Homepage: https://etikprovning.se/; Tel: +46(0)10475 0800) and by contacting a representative for the study Sponsor: goran.astrom@regionblekinge.se
Funding Statement
ME was funded through unrestricted grants from the Swedish Heart-Lung Foundation and the Swedish Society for Medical Research. Data collection by a trained nurse (AE) was funded through an unrestricted grant from OBI Medical. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Mean difference for v-TAC and VBG compared to ABG for a) pH; b) pCO2; and c) pO2.
(PPTX)
Data Availability Statement
In accordance with Swedish research laws and regulations and the ethical approval for the study, the de-identified study data can be made available to researchers upon request after approval by the ethical Review board (Homepage: https://etikprovning.se/; Tel: +46(0)10475 0800) and by contacting a representative for the study Sponsor: goran.astrom@regionblekinge.se