Skip to main content

Pathophysiology and clinical implications of the veno-arterial PCO2 gap


This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2021. Other selected articles can be found online at Further information about the Annual Update in Intensive Care and Emergency Medicine is available from


The persisting high mortality of circulatory shock highlights the need to search for sensitive early biomarkers to assess tissue perfusion and cellular oxygenation, which could provide important prognostic information and help guide resuscitation efforts. Although blood lactate and venous oxygen saturation (SvO2) are commonly used in this perspective, their usefulness remains hampered by several limitations. The veno-arterial difference in the partial pressure of carbon dioxide (Pv-aCO2 gap) has been increasingly recognized as a reliable tool to evaluate tissue perfusion and as a marker of poor outcome during circulatory shock, and it should therefore be part of an integrated clinical evaluation. In this chapter, we present the physiological and pathophysiological determinants of the Pv-aCO2 gap and review its implications in the clinical assessment of circulatory shock.

Physiological aspects of CO2 production and transport

Under aerobic conditions, CO2 is produced at the mitochondrial level as a by-product of substrate oxidation (pyruvate and citric acid cycle intermediates) (Fig. 1). The relationship between the amount of oxygen consumed (VO2) and CO2 produced (VCO2) during aerobic metabolism is termed the respiratory quotient (RQ = VCO2/VO2), and differs according to the main type of oxidized substrate (glucose, RQ = 1; proteins, RQ = 0.8; lipids, RQ = 0.7). Under anaerobic conditions, protons (H+) resulting from lactic acid production and ATP hydrolysis may generate CO2 following buffering by bicarbonates (HCO3), leading to the formation of so-called “anaerobic CO2” [1]. Once formed, CO2 diffuses within the surrounding environment and capillary blood, to be transported to the lungs for elimination. In blood, CO2 transport is partitioned into three distinct fractions [2]:

  1. 1.

    Dissolved CO2 fraction, which is in equilibrium with the partial pressure of CO2 (PCO2), according to Henry’s law of gas solubility: Vgas = Sgas × (Pgas/Patm), where Vgas is the volume of dissolved gas (in ml/ml), Sgas is the Henry’s constant of gas solubility (0.52 ml/ml for CO2 at 37 °C), and Patm the atmospheric pressure. Thus, in arterial blood with a PaCO2 of 40 mmHg (at sea level, 37 °C), dissolved CO2 = [0.52 × (40/760)] = 27 ml/l, which is about 5% of the total CO2 (note that, in mmol/l, Henry’s constant for CO2 = 0.03 mmol/l/mmHg; also note that the conversion factor from mmol to ml CO2 is ~ 22.3).

  2. 2.

    Bicarbonate (HCO3). CO2 in blood readily diffuses within red blood cells (RBCs), where it combines with H2O to form carbonic acid (H2CO3), a reaction catalyzed by the enzyme carbonic anhydrase. In turn, H2CO3 dissociates to form HCO3 and H+. While H+ is buffered by hemoglobin (formation of HbH), HCO3exits the RBC in exchange for a chloride anion (Cl) via a HCO3-Cl transporter (erythrocyte chloride shift or Hamburger effect). Thus, the HCO3 concentration increases in venous blood whereas the Cl concentration diminishes. CO2 transport as HCO3 (RBC and plasma fraction) represents about 90% of the total CO2 content in arterial blood (this proportion is lower in venous blood due to the Haldane effect). Taking into account a normal hematocrit of 0.45, the CO2 content under the form of HCO3 (in whole blood) is ~ 435 ml/l.

  3. 3.

    Formation of carbamino compounds within hemoglobin: part of the CO2 within the RBC combines with free amino (R-NH2) groups within hemoglobin to form carbamino-hemoglobin (R-NH2-CO2). This reaction is enhanced when hemoglobin carries less oxygen, implying that more CO2 is transported as (R-NH2-CO2) when the PO2 decreases, which is the basis of the Haldane effect described below. CO2 transport under the form of (R-NH2-CO2) represents about 5% of the total CO2 content in arterial blood (~ 1.1 mmol/L ≈ 25 ml/l).

Fig. 1

Physiology of CO2 production and transport. In cells, CO2 is produced (in mitochondria) as a byproduct of substrate oxidation. Under anaerobic conditions, CO2 is generated in small amounts, as the results of HCO3 buffering of protons released by lactic acid and the hydrolysis of ATP. CO2 diffuses into the interstitial tissues and then into capillaries, where it is transported as dissolved CO2 in plasma (in equilibrium with the PCO2), bound to hemoglobin as carbamino-hemoglobin (HbCO2) in red blood cells (RBC), and as HCO3, following the reaction of CO2 with H2O within RBC, a reaction catalyzed by carbonic anhydrase to form HCO3 and H+. HCO3 exits the RBC in exchange with chloride anions (Cl), whereas protons are buffered by hemoglobin, forming HbH

In summary, the total CO2 content of blood under physiological conditions equals:

$$[{\text{Dissolved}}\,{\text{CO}}_{2} ] + \left[ {{\text{HCO}}_{3}^{ - } } \right] + \left[ {{\text{R}} - {\text{NH}}_{2} - {\text{CO}}_{2} } \right]$$

which is ≈ 490 ml/l in arterial blood and ≈ 535 ml/l in mixed venous blood, hence a veno-arterial difference of approximately 45 ml/l. A more precise calculation of the CO2 content of blood can obtained by the Douglas equation, but this is too complex to be calculated at the bedside [3].

The CO2 dissociation curve (PCO2-CCO2 relationship)

As is the case for oxygen, a relationship exists between the PCO2 and the CO2 content (CCO2) of blood (Fig. 2). However, in contrast to the sigmoid shape of the O2 dissociation curve, the CO2 dissociation curve is slightly curvilinear, indicating a proportional increase in CCO2 over a wide range of PCO2. In the physiological range, the relationship between CCO2 and PCO2 can therefore be resolved by the equation:

$${\text{PCO}}_{2} = k \times {\text{CCO}}_{2}$$
Fig. 2

The CO2 dissociation curve. A curvilinear relationship exists between CO2 partial pressure (PCO2) and CO2 content (CCO2), so that PCO2 = k × CCO2. At low values of PCO2, the slope of the relationship is steeper, implying a smaller increase of PCO2 at any CCO2 than at high values of PCO2, where the slope of the relationship flattens. The position of the relationship is modified by various factors. A rightward and downward shift of the curve, corresponding to an increase of the k coefficient is produced by high PaO2 (Haldane effect), elevated temperatures, high hemoglobin concentrations and metabolic acidosis. A rightward shift of the curves implies that, for a same CCO2, the PCO2 increases, as indicated by the points A, B and C

Important information provided by the PCO2-CCO2 relationship is the shift produced at different values of oxygen saturation of hemoglobin (HbO2). Indeed, as hemoglobin gets saturated with O2, it can carry less CO2 as carbaminoHb, and inversely. This behavior is known as the Haldane effect, which implies that for a same PCO2, CCO2 is higher at lower HbO2 saturation. In other words, this means that as the k constant in the relationship above decreases, the PCO2-CCO2 curve is shifted to the left. The consequence of this effect is that, in tissues, more CO2 is loaded by Hb as it releases O2, allowing PCO2 to increase only moderately (from 40 to 46 mmHg), in spite of a marked increase in CCO2 due to the tissue production of CO2. Without the Haldane effect, the venous PCO2 would increase significantly more for a similar increase in CO2 content.

The curvilinearity of the CO2 dissociation curve indicates that CCO2 increases more steeply at low values of PCO2 and is more flat at high PCO2 values. It is also noticeable that the curve can be displaced by a certain number of factors: In conditions of metabolic acidosis, the reduction in HCO3 due to H+ buffering reduces the formation of carbamino (R-NH2-CO2) compounds inside hemoglobin [4]. As a result, for a given CCO2, the PCO2 must increase, which means an increase in the k constant, and a rightward shit of the relationship. The opposite occurs under conditions of metabolic alkalosis. Other factors influencing the curve are the hematocrit and temperature. At increasing hematocrit, there is a decrease in plasma space with a reduction of HCO3 and a decrease in CO2 content at any value of PCO2, with a shift to the right of the curve. At increasing temperatures, the reduced CO2 solubility also shifts the relationship to the right [4]. These considerations imply, therefore, that PvCO2 may vary at constant total venous CCO2 according to the particular conditions (HbO2 saturation [i.e., the Haldane effect], arterial pH, temperature and hematocrit).

The Pv-aCO2 gap: pathophysiology and clinical implications

A discussed earlier, the CCO2 in the venous side of the circulation is determined by the aerobic production of CO2 in tissues, influenced by the metabolic rate and the respiratory quotient, and may also increase via non-aerobic production of CO2. The generation of CO2 de facto increases the CCO2 on the venous side of the circulation, implying an obligatory difference between arterial and venous CCO2, termed the veno-arterial difference in CCO2, or veno-arterial CCO2 gap: va-CCO2 gap = (venous - arterial) CCO2 [1].

The tissue VCO2 does not accumulate under normal conditions, being washed out by the blood flowing across the tissue and eliminated by the lungs. Accordingly, any reduction in tissue blood flow (stagnant condition) will result in an accumulation of tissue CO2, implying an increase in the va-CCO2 gap, in accordance with Fick’s principle:

$${\text{VCO}}_{{2{\text{tissue}}}} = \left[ {\left( {{\text{Blood}}\,{\text{flow}}_{{{\text{tissue}}}} \times \left( {{\text{va}} - {\text{CCO}}_{2} \,{\text{gap}}_{{{\text{tissue}}}} } \right)} \right)} \right]$$

At the systemic level, the relationship is:

$${\text{VCO}}_{2} = \left[ {\left( {{\text{Cardiac}}\,{\text{output}} \times \left( {{\text{va}} - {\text{CCO}}_{2} \,{\text{gap}}} \right)} \right)} \right]$$

According to the equation (PCO2 = k × CCO2), the Fick equation for CO2 can be rewritten as:

$$k \times {\text{VCO}}_{2} = \left[ {{\text{Cardiac}}\,{\text{output}} \times \left( {{\text{Pv}} - {\text{PaCO}}_{2} } \right)} \right]$$


$$\left( {{\text{Pv}} - {\text{PaCO}}_{2} } \right) = \left[ {\left( {k \times {\text{VCO}}_{{2}} } \right)/{\text{Cardiac}}\,{\text{output}}} \right]$$

Therefore, the Pv-aCO2 gap represents a very good surrogate indicator of the adequacy of cardiac output and tissue perfusion under a given condition of CO2 production. The normal Pv-aCO2 gap is comprised between 2 and 6 mmHg [5], and many studies assessing Pv-aCO2 gap in clinical conditions used a cut-off value of 6 mmHg above which the gap is considered abnormally elevated. Although the venous PCO2 should ideally be obtained in a mixed venous blood sampling, good agreement between central and mixed venous PCO2 values has been reported [6]. Therefore, both central and mixed venous PCO2 can be used for the calculation of the va-CO2 gap, as long as the variables are not interchanged during treatment in a given patient.

The inverse relationship between cardiac output and the Pv-aCO2 gap

The inverse relationship between cardiac output and the Pv-aCO2 gap (Fig. 3) has been repeatedly demonstrated in both experimental [7] and clinical [8] settings. It is noteworthy that this relationship is not linear, but curvilinear (Fig. 3). At very low cardiac output, the (Pv-aCO2 gap) indeed increases more rapidly. This large increase in Pv-aCO2 gap is primarily due to the flattened relation between CCO2 and PCO2 at high values of CCO2 in conditions of tissue hypercarbia [5], and this is further magnified if tissue metabolic acidosis develops, due to the rightward shift of the PCO2-CCO2 relationship in acidic conditions (increased k coefficient, see above). Also, venous accumulation of CO2 will increase as a consequence of low pulmonary perfusion and CO2 elimination, further widening the gap [9]. In contrast, the increase in Pv-aCO2 in very low flow states with conditions of VO2-oxygen delivery (DO2) dependence will be attenuated by the mandatory reduction in aerobic VCO2. Such a decrease in VCO2 results in a leftward shift of the cardiac output/Pv-aCO2 gap relationship, as shown in Fig. 3 [5].

Fig. 3

The inverse relationship between cardiac output and the Pva-CO2 gap. A reduction in cardiac output is associated with a progressive increase in the Pva-CO2 gap, which becomes exponential at very low cardiac output values, because of the flat slope of the CO2 dissociation curve in conditions of tissue hypercarbia. The relationship is displaced to the right at higher CO2 production (VCO2)

Pv-aCO2 gap and tissue dysoxia

In addition to tracking changes in cardiac output and tissue perfusion, the Pv-aCO2 gap can increase through an augmentation of VCO2 [8]. Under aerobic conditions, that is in the absence of any clinical sign of shock or increased blood lactate, such an increase reflects an increased metabolic demand or an increase in RQ (glucidic diet), or both. Physiologically, an increased metabolic rate is generally coupled with an increase in cardiac output, but such adaptation may not occur in critically ill patients with inadequate cardiovascular reserves, which may result in an increased Pv-aCO2 gap. Interventions should here be targeted first to reduce the metabolic demand. Persistence of an increased Pv-aCO2 gap should not necessarily prompt therapies to increase cardiac output, given the risk associated with deliberate increase in cardiac output in the absence of tissue dysoxia [10]. However, it is noteworthy that an increased Pv-aCO2 gap immediately after surgery in high risk patients, independent of their hemodynamic condition, SvO2 and lactate, has been associated with significantly more complications [11]. This suggests that a high Pv-aCO2 gap could track insufficient resuscitation and might represent a goal for hemodynamic optimization in such patients, but this issue is controversial and remains to be proven [9].

Under anaerobic conditions, the question as to whether the Pv-aCO2 gap can be used as a marker of tissue dysoxia, by detecting increased anaerobic VCO2 from H+ buffering, has attracted much attention. An advantage of Pv-aCO2 gap in this sense would be its ability to rapidly track changes in CO2 formation, hence providing sensitive, rapid and continuous detection of ongoing anaerobiosis. This would contrast from usual markers of tissue dysoxia, such as SvO2 or lactate. Indeed, SvO2 can be unreliable in conditions of reduced oxygen extraction and hyperdynamic circulation (sepsis) [12]. The disadvantage of lactate is its lack of specificity as a marker of dysoxia (type A vs type B hyperlactatemia), and its relatively slow clearance kinetics dependent on liver perfusion and function [13], which limits its utility to rapidly track changes in tissue oxygenation [9].

The Pv-aCO2 gap in stagnant dysoxia

In essence, tissue dysoxia is classically attributed to stagnant, hypoxic, anemic and cytopathic mechanisms. As a sensitive marker of reduced cardiac output, an increased Pv-aCO2 gap is a reliable indicator of stagnant dysoxia. Importantly, the major gap noted under very low flow conditions (see earlier) has been associated with a global reduction in VCO2 (VO2-DO2 dependence), implying that any increase in anaerobic VCO2 could not offset the depressed aerobic VCO2 [7]. Therefore, the increased Pv-aCO2 gap depends entirely on the stagnant accumulation of tissue CO2, but not on increased anaerobic VCO2 in low flow conditions [1, 14].

The Pv-aCO2 gap in hypoxic or anemic dysoxia

To address the role of the Pv-aCO2 gap to detect hypoxic dysoxia, Vallet et al. reduced DO2 below the critical threshold in an isolated dog hindlimb model, by reducing blood flow or by decreasing PO2 [15]. Both conditions similarly reduced VO2 and O2 extraction, but the Pv-aCO2 gap increased exclusively in the ischemic, but not hypoxic condition, implying that stagnant, but not hypoxic dysoxia was the responsible mechanism [15]. Comparable results were obtained by Nevière et al. in the intestinal mucosa of pigs, following the systemic reduction in DO2 to similar levels either by reduction of cardiac output or arterial PO2 [16]. With respect to anemic dysoxia, similar conclusions were obtained in sheep hemorrhage models, in which no increase in Pv-aCO2 gap was detected under conditions of VO2/DO2 dependency due to reduced hemoglobin concentration [17], unless there was a concomitant reduction in cardiac output [18]. Hence, significant hypoxic or anemic dysoxia occurs in the absence of any Pv-aCO2 gap increase.

The Pv-aCO2 gap in cytopathic dysoxia

An acquired intrinsic abnormality of tissue O2 extraction and cellular O2 utilization, primarily related to mitochondrial impairment, defines the concept of cytopathic hypoxia, and the resulting cellular bioenergetic failure could represent an important mechanism of organ dysfunction in sepsis [19]. Mitochondrial defects have been demonstrated in several tissues obtained from animals in various models of sepsis, and limited data also exist on altered mitochondrial metabolism in human biopsy samples or circulating blood cells [20]. The detection of cytopathic hypoxia, however, is still not feasible at the bedside, although new techniques such as the measurement of mitochondrial O2 tension using protoporphyrin IX-Triplet State Lifetime Technique (PpIX-TSLT) are currently being developed [21]. Furthermore, impaired O2 extraction in sepsis does not necessary imply cytopathic hypoxia, as it may be related to impaired microcirculation.

Theoretically, the increased anaerobic CO2 generation in conditions of cytopathic hypoxia could result in increased anaerobic VCO2 leading to an increased Pv-aCO2 gap. This assumption has been evaluated in a porcine model of high dose metformin intoxication, which induces mitochondrial defects comparable to cyanide poisoning [22]. As expected, treated pigs exhibited reduced VO2 and marked lactic acidosis, in spite of preserved systemic DO2. However, although VCO2 decreased less than VO2, suggesting some anaerobic VCO2, no significant increase in Pv-aCO2 gap was noted. In a human case report of massive metformin intoxication, Waldauf et al. also reported no elevation in Pv-aCO2 gap despite major lactic acidosis and reduced aerobic VO2, as detected by increased SvO2 [23]. Therefore, although data are very limited, cytopathic dysoxia related to impaired mitochondrial respiration appears not to widen the Pv-aCO2 gap.

The Pv-aCO2 gap in sepsis

Ongoing tissue dysoxia with persistent lactic acidosis is a hallmark of sepsis, and associated with a poor prognosis. Although a hyperdynamic circulation is characteristic of sepsis, many septic patients may have a cardiac output that is insufficient to meet metabolic demands, because of persistent hypovolemia or concomitant myocardial dysfunction. An increased Pv-aCO2 gap has been reported in patients with lower cardiac output in sepsis, consistent with the ability of the Pv-aCO2 gap to detect stagnant dysoxia, also in the context of sepsis [24]. In such conditions, an increase in cardiac output correlates with a parallel decrease in Pv-aCO2 gap [25]. Importantly, as reported by Vallee et al. [26], the Pv-aCO2 gap is able to detect persistently low cardiac output even in patients with a normal SvO2. Such a high Pv-aCO2 gap during the early resuscitation of septic shock has been correlated with more organ dysfunction and worse outcomes [27].

Many septic patients display persistent lactic acidosis in spite of an elevated cardiac output and normal or even increased SvO2. This implies that mechanisms unrelated to macrohemodynamics sustain tissue dysoxia in this setting, i.e., a loss of so-called hemodynamic coherence, with significant negative impact on outcome [28]. Impaired microcirculatory perfusion is indeed a prototypical perturbation in experimental [29] and human sepsis [30], which may impair tissue oxygenation. Such microcirculatory derangements result in tissue CO2 accumulation, which can be tracked, for example, by sublingual capnometry, as shown by Creteur et al. [31]. Accordingly, in a prospective observational study including 75 patients with septic shock, Ospina-Tascon et al. found a significant correlation between Pv-aCO2 gap and microcirculatory alterations. These were independent of systemic hemodynamic status and persisted even after correction for the Haldane effect [32], indicating that the Pv-aCO2 gap may be a useful tool to assess impaired microcirculation in sepsis [33]. Furthermore, Creteur et al. reported that increasing cardiac output with dobutamine in patients with impaired microcirculation resulted in a decreased regional PCO2 gap (sublingual and gastric mucosal) that was associated with a significant increase in well-perfused capillaries [31].

In summary, an elevated (> 6 mmHg) Pv-aCO2 gap in sepsis detects stagnant dysoxia, whether related to a low cardiac output or a derangement in microcirculatory blood flow, and this holds true even in the presence of a normal or elevated SvO2. As such, a high Pv-aCO2 gap might prompt a trial to improve tissue blood flow by increasing cardiac output [34].

Finally, many septic patients with an elevated cardiac output exhibit a normal Pv-aCO2 gap, resulting from elevated CO2 washout by increased tissue blood flow. Many of these patients still display signs of ongoing dysoxia with lactic acidosis and organ dysfunction. Whether this pattern reflects cytopathic dysoxia or regional microcirculatory alterations not tracked by Pv-aCO2 gap elevation remains to be established.

Use of the Pv-aCO2 gap as a prognostic tool

In sepsis, evidence exists that a Pv-aCO2 gap > 6 mmHg, even after normalization of blood lactate, is predictive of poor outcomes [35,36,37], which has been highlighted in a recent systematic review of 12 observational studies [38]. Whether this holds true for a broader population of critically ill patients with circulatory shock has been questioned in a recent meta-analysis of 21 studies with a total of 2155 patients from medical, surgical and cardiovascular ICUs [37]. Overall, a high Pv-aCO2 gap was associated with higher lactate levels, lower cardiac output and central venous oxygen saturation (ScvO2), and was significantly correlated with mortality. The latter was however restricted to medical and surgical patients, with no association found for cardiac surgery patients. Since the meta-analysis included only two studies in cardiac surgery, this negative result should be interpreted with caution. Three recent retrospective studies not included in the meta-analysis [39,40,41] indeed reported a negative impact of high postoperative Pv-aCO2 gap on major complications and mortality after cardiac surgery, although with limited diagnostic performance [41].

Future studies are needed to refine the value of the Pv-aCO2 gap as a prognostic biomarker in cardiac surgery patients, taking into account the low mortality (3.4%) in this population [42].

Pitfalls in the interpretation of the Pv-aCO2 gap

As already mentioned, several factors may influence the position of the PCO2-CCO2 relationship by influencing the k factor of proportionality between both variables (see Fig. 2), which must be taken into account for a proper interpretation of the Pv-aCO2 gap. These include the oxygen saturation of hemoglobin (Haldane effect), metabolic shifts of pH, temperature and hemoglobin concentration. In addition, it is essential to consider possible sources of errors in the measurement of PCO2, including contamination of the samples with fluid or air bubbles, and insufficient precision of the gas analyzer. When comparing successive determinations of Pv-aCO2 gap, it is therefore recommended to consider only variations of at least ± 2 mmHg as real changes [43].

Two additional confounders in the interpretation of the Pv-aCO2 gap require some discussion. The first is hyperoxia. It has been observed that, in patients with circulatory shock, ventilation at 100% inspired oxygen fraction (FiO2) for 5 min increased venous PCO2, and hence the Pv-aCO2 gap, independent of changes in the hemodynamic status [44]. While this observation may be explained by a lower CO2 affinity of hemoglobin due to elevated venous PO2 (Haldane effect) [44], it may also reflect some impairment in microcirculatory blood flow, owing to the vasoconstrictive effects of hyperoxia [45]. The second confounder is acute hyperventilation with respiratory alkalosis. For example, as shown by Mallat et al. in 18 stable septic shock patients [46], an acute decrease in arterial PCO2 from 44 to 34 mmHg produced by transient hyperventilation (30 min) induced a significant increase in PCO2 gap (absolute 2.2 mmHg, relative + 48.5%). Possible mechanisms include, first, increased aerobic production of CO2 due to stimulated aerobic glycolysis under conditions of cellular alkalosis, and second, a reduction in microcirculatory blood flow due to the acute drop of CO2. Thus, both acute hyperoxia and hypocapnia may be important confounders in the interpretation of an increased Pv-aCO2 gap, which must be taken into account by the clinician.


The Pv-aCO2 gap is a reliable indicator of impaired tissue perfusion, whether the result of a global reduction in cardiac output or to microcirculatory abnormalities, but it does not track tissue dysoxia, unless related to a stagnant mechanism. Being easily accessible and readily available, the Pva-CO2 gap should be included in the integrated evaluation of the patient in circulatory shock. Several diagnostic algorithms incorporating Pva-CO2 gradients have been proposed, such as those presented in Figs. 4 and 5. It remains to be established whether the Pva-CO2 gap should be part of a resuscitation bundle protocol, and whether therapies aimed at normalizing an increased Pva-CO2 gap could improve the dismal prognosis of circulatory shock.

Fig. 4

Usefulness of the Pva-CO2 gradient under conditions of circulatory shock. Proposed diagnostic algorithm integrating lactate, mixed (central) venous oxygen saturation (S(c)vO2) and the Pva-CO2 gap in patients with circulatory shock

Fig. 5

The Pva-CO2 gradient in the absence of circulatory shock. Proposed diagnostic algorithm to interpret an elevation in the Pva-CO2 gap in the absence of circulatory shock and with normal blood lactate. S(c)vO2 mixed (central) venous oxygen saturation

Availability of data and materials

Not applicable.


  1. 1.

    Gavelli F, Teboul JL, Monnet X. How can CO2-derived indices guide resuscitation in critically ill patients? J Thorac Dis. 2019;11(Suppl 11):S1528–37.

    PubMed  PubMed Central  Article  Google Scholar 

  2. 2.

    Geers C, Gros G. Carbon dioxide transport and carbonic anhydrase in blood and muscle. Physiol Rev. 2000;80:681–715.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Douglas AR, Jones NL, Reed JW. Calculation of whole blood CO2 content. J Appl Physiol. 1988;65:473–7.

    CAS  PubMed  Article  Google Scholar 

  4. 4.

    Dash RK, Bassingthwaighte JB. Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng. 2004;32:1676–93.

    PubMed  Article  Google Scholar 

  5. 5.

    Dres M, Monnet X, Teboul JL. Hemodynamic management of cardiovascular failure by using PCO(2) venous-arterial difference. J Clin Monitor Comput. 2012;26:367–74.

    Article  Google Scholar 

  6. 6.

    van Beest PA, Lont MC, Holman ND, Loef B, Kuiper MA, Boerma EC. Central venous-arterial pCO(2) difference as a tool in resuscitation of septic patients. Intensive Care Med. 2013;39:1034–9.

    CAS  PubMed  Article  Google Scholar 

  7. 7.

    Zhang H, Vincent JL. Arteriovenous differences in PCO2 and pH are good indicators of critical hypoperfusion. Am Rev Respir Dis. 1993;148:867–71.

    CAS  PubMed  Article  Google Scholar 

  8. 8.

    Teboul JL, Mercat A, Lenique F, Berton C, Richard C. Value of the venous-arterial PCO2 gradient to reflect the oxygen supply to demand in humans: effects of dobutamine. Crit Care Med. 1998;26:1007–10.

    CAS  PubMed  Article  Google Scholar 

  9. 9.

    Denault A, Guimond JG. Does measuring veno-arterial carbon dioxide difference compare to predicting a hockey game’s final score? Can J Anesthesia. 2021;68:445–53.

    CAS  Article  Google Scholar 

  10. 10.

    Hayes MA, Timmins AC, Yau EH, Palazzo M, Hinds CJ, Watson D. Elevation of systemic oxygen delivery in the treatment of critically ill patients. N Engl J Med. 1994;330:1717–22.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Robin E, Futier E, Pires O, Fleyfel M, Tavernier B, Lebuffe G, et al. Central venous-to-arterial carbon dioxide difference as a prognostic tool in high-risk surgical patients. Crit Care. 2015;19:227.

    PubMed  PubMed Central  Article  Google Scholar 

  12. 12.

    Monnet X, Julien F, Ait-Hamou N, Lequoy M, Gosset C, Jozwiak M, et al. Lactate and venoarterial carbon dioxide difference/arterial-venous oxygen difference ratio, but not central venous oxygen saturation, predict increase in oxygen consumption in fluid responders. Crit Care Med. 2013;41:1412–20.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Ducrocq N, Kimmoun A, Levy B. Lactate or ScvO2 as an endpoint in resuscitation of shock states? Minerva Anestesiol. 2013;79:1049–58.

    CAS  PubMed  Google Scholar 

  14. 14.

    Groeneveld AB. Interpreting the venous-arterial PCO2 difference. Crit Care Med. 1998;26:979–80.

    CAS  PubMed  Article  Google Scholar 

  15. 15.

    Vallet B, Teboul JL, Cain S, Curtis S. Venoarterial CO(2) difference during regional ischemic or hypoxic hypoxia. J Appl Physiol. 2000;89:1317–21.

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Neviere R, Chagnon JL, Teboul JL, Vallet B, Wattel F. Small intestine intramucosal PCO(2) and microvascular blood flow during hypoxic and ischemic hypoxia. Crit Care Med. 2002;30:379–84.

    PubMed  Article  Google Scholar 

  17. 17.

    Dubin A, Estenssoro E, Murias G, Pozo MO, Sottile JP, Baran M, et al. Intramucosal-arterial PCO2 gradient does not reflect intestinal dysoxia in anemic hypoxia. J Trauma. 2004;57:1211–7.

    CAS  PubMed  Article  Google Scholar 

  18. 18.

    Ferrara G, Kanoore Edul VS, Martins E, Canales HS, Canullan C, Murias G, et al. Intestinal and sublingual microcirculation are more severely compromised in hemodilution than in hemorrhage. J Appl Physiol. 2016;120:1132–40.

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Liaudet L, Oddo M. Role of poly(adenosine diphosphate-ribose) polymerase 1 in septic peritonitis. Curr Opin Crit Care. 2003;9:152–8.

    PubMed  Article  Google Scholar 

  20. 20.

    Fink MP. Cytopathic hypoxia and sepsis: is mitochondrial dysfunction pathophysiologically important or just an epiphenomenon. Pediatr Crit Care Med. 2015;16:89–91.

    PubMed  Article  Google Scholar 

  21. 21.

    Mik EG, Balestra GM, Harms FA. Monitoring mitochondrial PO2: the next step. Curr Opin Crit Care. 2020;26:289–95.

    PubMed  Article  Google Scholar 

  22. 22.

    Andreis DT, Mallat J, Tettamanti M, Chiarla C, Giovannini I, Gatti S, et al. Increased ratio of P[v-a]CO2 to C[a-v]O2 without global hypoxia: the case of metformin-induced lactic acidosis. Respir Physiol Neurobiol. 2021;285:103586.

    CAS  PubMed  Article  Google Scholar 

  23. 23.

    Waldauf P, Jiroutkova K, Duska F. Using PCO2 gap in the differential diagnosis of hyperlactatemia outside the context of sepsis: a physiological review and case series. Crit Care Res Pract. 2019;2019:5364503.

    PubMed  PubMed Central  Google Scholar 

  24. 24.

    Bakker J, Vincent JL, Gris P, Leon M, Coffernils M, Kahn RJ. Veno-arterial carbon dioxide gradient in human septic shock. Chest. 1992;101:509–15.

    CAS  PubMed  Article  Google Scholar 

  25. 25.

    Mecher CE, Rackow EC, Astiz ME, Weil MH. Venous hypercarbia associated with severe sepsis and systemic hypoperfusion. Crit Care Med. 1990;18:585–9.

    CAS  PubMed  Article  Google Scholar 

  26. 26.

    Vallee F, Vallet B, Mathe O, Parraguette J, Mari A, Silva S, et al. Central venous-to-arterial carbon dioxide difference: an additional target for goal-directed therapy in septic shock? Intensive Care Med. 2008;34:2218–25.

    PubMed  Article  Google Scholar 

  27. 27.

    Ospina-Tascon GA, Bautista-Rincon DF, Umana M, Tafur JD, Gutierrez A, Garcia AF, et al. Persistently high venous-to-arterial carbon dioxide differences during early resuscitation are associated with poor outcomes in septic shock. Crit Care. 2013;17:R294.

    PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    De Backer D, Donadello K, Sakr Y, Ospina-Tascon G, Salgado D, Scolletta S, et al. Microcirculatory alterations in patients with severe sepsis: impact of time of assessment and relationship with outcome. Crit Care Med. 2013;41:791–9.

    PubMed  Article  CAS  Google Scholar 

  29. 29.

    Revelly JP, Liaudet L, Frascarolo P, Joseph JM, Martinet O, Markert M. Effects of norepineph-rine on the distribution of intestinal blood flow and tissue adenosine triphosphate content in endotoxic shock. Crit Care Med. 2000;28:2500–6.

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    De Backer D, Creteur J, Preiser JC, Dubois MJ, Vincent JL. Microvascular blood flow is altered in patients with sepsis. Am J Respir Crit Care Med. 2002;166:98–104.

    PubMed  Article  Google Scholar 

  31. 31.

    Creteur J, De Backer D, Sakr Y, Koch M, Vincent JL. Sublingual capnometry tracks microcir-culatory changes in septic patients. Intensive Care Med. 2006;32:516–23.

    PubMed  Article  Google Scholar 

  32. 32.

    Ospina-Tascon GA, Umana M, Bermudez WF, Bautista-Rincon DF, Valencia JD, Madrinan HJ, et al. Can venous-to-arterial carbon dioxide differences reflect microcirculatory alterations in patients with septic shock? Intensive Care Med. 2016;42:211–21.

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    De Backer D. Is microcirculatory assessment ready for regular use in clinical practice? Curr Opin Crit Care. 2019;25:280–4.

    PubMed  Article  Google Scholar 

  34. 34.

    Teboul JL, Saugel B, Cecconi M, De Backer D, Hofer CK, Monnet X, et al. Less invasive hemodynamic monitoring in critically ill patients. Intensive Care Med. 2016;42:1350–9.

    PubMed  Article  Google Scholar 

  35. 35.

    Mallat J, Pepy F, Lemyze M, Gasan G, Vangrunderbeeck N, Tronchon L, et al. Central venous-to- arterial carbon dioxide partial pressure difference in early resuscitation from septic shock: a prospective observational study. Eur J Anaesthesiol. 2014;31:371–80.

    PubMed  Article  Google Scholar 

  36. 36.

    Vallet B, Pinsky MR, Cecconi M. Resuscitation of patients with septic shock: please “mind the gap”! Intensive Care Med. 2013;39:1653–5.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  37. 37.

    Al Duhailib Z, Hegazy AF, Lalli R, Fiorini K, Priestap F, Iansavichene A, et al. The use of central venous to arterial carbon dioxide tension gap for outcome prediction in critically ill patients: a systematic review and meta-analysis. Crit Care Med. 2020;48:1855–61.

    PubMed  Article  Google Scholar 

  38. 38.

    Diaztagle Fernandez JJ, Rodriguez Murcia JC, Sprockel Diaz JJ. Venous-to-arterial carbon dioxide difference in the resuscitation of patients with severe sepsis and septic shock: a systematic review. Med Intensiva. 2017;41:401–10.

    CAS  PubMed  Article  Google Scholar 

  39. 39.

    Mukai A, Suehiro K, Kimura A, Funai Y, Matsuura T, Tanaka K, et al. Comparison of the venous-arterial CO2 to arterial-venous O2 content difference ratio with the venous-arterial CO2 gradient for the predictability of adverse outcomes after cardiac surgery. J Clin Monitor Comput. 2020;34:41–53.

    Article  Google Scholar 

  40. 40.

    Zante B, Reichenspurner H, Kubik M, Schefold JC, Kluge S. Increased admission central venous-arterial CO2 difference predicts ICU-mortality in adult cardiac surgery patients. Heart Lung. 2019;48:421–7.

    PubMed  Article  Google Scholar 

  41. 41.

    Huette P, Beyls C, Mallat J, Martineau L, Besserve P, Haye G, et al. Central venous-to-arterial CO2 difference is a poor tool to predict adverse outcomes after cardiac surgery: a retrospective study. Can J Anaesth. 2021;68:467–76.

    CAS  PubMed  Article  Google Scholar 

  42. 42.

    Mazzeffi M, Zivot J, Buchman T, Halkos M. In-hospital mortality after cardiac surgery: patient characteristics, timing, and association with postoperative length of intensive care unit and hospital stay. Ann Thorac Surg. 2014;97:1220–5.

    PubMed  Article  Google Scholar 

  43. 43.

    Mallat J, Lemyze M, Tronchon L, Vallet B, Thevenin D. Use of venous-to-arterial carbon dioxide tension difference to guide resuscitation therapy in septic shock. World J Crit Care Med. 2016;5:47–56.

    PubMed  PubMed Central  Article  Google Scholar 

  44. 44.

    Saludes P, Proenca L, Gruartmoner G, Ensenat L, Perez-Madrigal A, Espinal C, et al. Central venous-to-arterial carbon dioxide difference and the effect of venous hyperoxia: a limiting factor, or an additional marker of severity in shock? J Clin Monitor Comput. 2017;31:1203–11.

    CAS  Article  Google Scholar 

  45. 45.

    Orbegozo Cortes D, Puflea F, Donadello K, Taccone FS, Gottin L, Creteur J, et al. Normobaric hyperoxia alters the microcirculation in healthy volunteers. Microvasc Res. 2015;98:23–8.

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Mallat J, Mohammad U, Lemyze M, Meddour M, Jonard M, Pepy F, et al. Acute hyperventilation increases the central venous-to-arterial PCO2 difference in stable septic shock patients. Ann Intensive Care. 2017;7:31.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

Download references




The study and publication costs were funded by the intensive care unit research fund.

Author information




ZL performed the literature review drew the figures and drafted the manuscript. AS critically reviewed the manuscript. LL critically reviewed the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Antoine Guillaume Schneider.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

All authors stated they have no conflicts of interest to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ltaief, Z., Schneider, A.G. & Liaudet, L. Pathophysiology and clinical implications of the veno-arterial PCO2 gap. Crit Care 25, 318 (2021).

Download citation