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Dubin, A.; Pozo, M.O. Venous Minus Arterial Carbon Dioxide Gradients in Monitoring. Encyclopedia. Available online: https://encyclopedia.pub/entry/46754 (accessed on 29 April 2024).
Dubin A, Pozo MO. Venous Minus Arterial Carbon Dioxide Gradients in Monitoring. Encyclopedia. Available at: https://encyclopedia.pub/entry/46754. Accessed April 29, 2024.
Dubin, Arnaldo, Mario O. Pozo. "Venous Minus Arterial Carbon Dioxide Gradients in Monitoring" Encyclopedia, https://encyclopedia.pub/entry/46754 (accessed April 29, 2024).
Dubin, A., & Pozo, M.O. (2023, July 13). Venous Minus Arterial Carbon Dioxide Gradients in Monitoring. In Encyclopedia. https://encyclopedia.pub/entry/46754
Dubin, Arnaldo and Mario O. Pozo. "Venous Minus Arterial Carbon Dioxide Gradients in Monitoring." Encyclopedia. Web. 13 July, 2023.
Venous Minus Arterial Carbon Dioxide Gradients in Monitoring
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This entry is adapted from the peer-reviewed paper 10.3390/medicina59071262

According to Fick’s principle, the total uptake of (or release of) a substance by tissues is the product of blood flow and the difference between the arterial and the venous concentration of the substance. Therefore, the mixed or central venous minus arterial CO2 content difference depends on cardiac output (CO). Assuming a linear relationship between CO2 content and partial pressure, central or mixed venous minus arterial PCO2 differences (Pcv-aCO2 and Pmv-aCO2) are directly related to CO. Nevertheless, this relationship is affected by alterations in the CO2Hb dissociation curve induced by metabolic acidosis, hemodilution, the Haldane effect, and changes in CO2 production (VCO2). In addition, Pcv-aCO2 and Pmv-aCO2 are not interchangeable. Despite these confounders, CO is a main determinant of Pcv-aCO2. Since in a study performed in septic shock patients, Pmv-aCO2 was correlated with changes in sublingual microcirculation but not with those in CO, it has been proposed as a monitor for microcirculation. The respiratory quotient (RQ)—RQ = VCO2/O2 consumption—sharply increases in anaerobic situations induced by exercise or critical reductions in O2 transport. This results from anaerobic VCO2 secondary to bicarbonate buffering of anaerobically generated protons. The measurement of RQ requires expired gas analysis by a metabolic cart, which is not usually available. Thus, some studies have suggested that the ratio of Pcv-aCO2 to arterial minus central venous O2 content (Pcv-aCO2/Ca-cvO2) might be a surrogate for RQ and tissue oxygenation. 

venous minus arterial carbon dioxide partial pressure cardiac output tissue perfusion respiratory quotient

1. Introduction

The monitoring of the adequacy of tissue perfusion and oxygenation is a major task in the assessment of critically ill patients. Unfortunately, few tools are available for these goals. The clinical evaluation of skin perfusion by means of the capillary refill time is a valuable method [1]. It is a cheap and easy technique, which can be performed in different sites, such as the fingertip (pulp or nail), earlobe, thumb, forehead, and chest wall. In healthy volunteers, there is a good agreement between capillary refill time measured in the pulp fingertip and the ear lobe [2]. The measurement of capillary refill time, however, is poorly reproducible. It has been suggested that the standardization of the technique might improve its variability [3], but a study showed that even after careful standardization and training, the variability of the method remains wide [4]. The capillary refill time changes according to the environment temperature, age, gender, and skin characteristics [5]. Moreover, skin perfusion could not reflect other relevant microvascular territories [6]. Nevertheless, it gives relevant prognostic information and could successfully guide the resuscitation of patients with septic shock [1][7]. Other technologies aimed at the monitoring of tissue perfusion, such as tissue capnography, are no longer available [8]. The videomicroscopy of sublingual microcirculation is an appealing approach for the direct assessment of tissue perfusion. Despite the fact that different devices are available for this purpose, the present limitations for its clinical utilization are the difficulties in video acquisition and analysis [9].
Global tissue oxygenation has been evaluated through the measurement of blood lactate levels. Hyperlactatemia adequately quantifies the magnitude of tissue hypoxia in low-flow states. In addition, the rate of lactate level reduction, the so-called lactate clearance, might point to the adequacy of resuscitation and the relief of the anaerobic metabolism. On the other hand, increased or persistently high levels of lactate might also express the activation of aerobic glycolysis in hypermetabolic states, such as sepsis. [10]. Thus, it could be a misleading goal for resuscitation [7]. In experimental models of oxygen supply dependency, the abrupt rise in the respiratory quotient (RQ) indicates the start of anaerobic metabolism [11][12][13][14]. Regrettably, the metabolic carts needed for the measurement are not commonly used in ICUs.
Given the limitations associated with the measurement of lactate, venous minus arterial carbon dioxide partial pressure difference (Pv-aCO2) and its ratio to arterial minus venous oxygen content (Pv-aCO2/Ca-vO2) have been proposed for the monitoring of tissue perfusion and oxygenation, as surrogates of tissue minus arterial PCO2 difference (Pt-aCO2) and RQ, respectively [15]. For these purposes, mixed or central venous samples have been used (Pmv-aCO2, Pmv-aCO2/Ca-mvO2, Pcv-aCO2, and Pcv-aCO2/Ca-cvO2, respectively).

2. Venous Minus Arterial Carbon Dioxide Partial Pressure Difference

2.1. Physiological Background

CO2 is an important side product of both glycolysis and the Krebs cycle. The CO2 production (VCO2) is proportional to the magnitude of the oxidative metabolism. During states of tissue hypoxia related to reductions in oxygen transport (DO2), the aerobic VCO2 decreases as a result of the depressed oxidative metabolism, but the anaerobic VCO2 ensues because of the bicarbonate buffering of anaerobically generated protons. Following its concentration gradient, the CO2 diffuses from the sites of production in the mitochondria and the cytosol into the extracellular space and the capillaries. In this way, the PCO2 of ~40 mmHg on the arterial side increases to ~45 mmHg on the venous side of the capillaries. Thus, there is a positive venous minus arterial carbon dioxide content difference (Cv-aCO2). It results in Pmv-aCO2 and Pcv-aCO2 values that normally range from 2 to 6 mm Hg. It is worthy of note that the CO2 is transported in the blood in three different forms: physically dissolved (10%), as bicarbonate (80%), or bound to Hb as carbamate (10%). The proportion of these forms can be substantially changed by different factors [16].
According to Fick’s principle, systemic VCO2 is the product of cardiac output (CO) multiplied by Cv-aCO2 [17]. Consequently, Cv-aCO2 is directly proportional to VCO2 and inversely proportional to CO. The changes in VCO2 modify the ability of CO2 gradients to track the alterations in blood flow. In hypothermia, the tissue hypoperfusion induced by hemorrhagic shock does not increase the intestinal mucosal Pt-aCO2 because of the reduction in the VCO2 [18].
Another problematic issue related to the clinical usefulness of Fick’s principle applied to CO2 for the monitoring of blood flow is the measurement of CO2 content. Determination by direct tonometry is extremely cumbersome. On the other hand, the calculation of CO2 content depends on complex formulae that frequently produce unacceptable errors. The method more commonly used was allegedly validated in comparison with manometric measurements performed by the Van Slyke method [19]. The authors found an excellent correlation between both determinations. Even though, using data provided in the manuscript, it is possible to calculate the 95% limits of agreement between calculated and measured CO2 content. The resulting value is 4.66 mL/100 mL, which is very wide. Thus, the methods are not interchangeable, especially considering the error propagation related to the calculation of Cv-aCO2. Accordingly, 5–10% of the calculated Cv-aCO2 values are negative, which is not physiologically possible. Improved algorithms for the calculation of CO2 content have been developed, but they still show inaccuracies [20][21].
Taking into account these drawbacks, Pv-aCO2 is commonly used instead of Cv-aCO2. The relationship between CO2 content and partial pressure, however, is not straightforward and depends on several factors:
(1) Position on the CO2Hb dissociation curve: Given the curvilinear characteristics of the curve, the relationship between CO2 partial pressure and content varies over the entire range of values. In the steeper portion (low PCO2), the increases in PCO2 at any CO2 content are smaller than in the flattened part (high PCO2).
(2) Haldane effect: Oxygenated Hb has a lower capacity for CO2 binding. In this way, similar CO2 content is associated with higher PCO2 at higher oxygen saturations [22]. This mechanism favors the Hb loading of CO2 produced by the tissue metabolism in the peripheral capillaries and its unloading in the lungs. Although the PCO2 only falls from 45 mmHg on the venous side to 40 mmHg on the arterial side, the CO2 content decreases by a much greater extent.
(3) Effect of acidosis: Metabolic acidosis decreases the Hb ability to transport CO2 [23].
(4) Hemodilution: Anemia produces higher PCO2 values because of the reduced Hb binding [24].
(5) Temperature: Increases in temperature induce a right shift in the HbCO2 dissociation curve [25].
Considering these mechanisms, Pv-aCO2 and Pt-aCO2 not only depend on blood flow and VCO2 but also on changes in the CO2Hb dissociation curve. Shifts in the CO2Hb dissociation curve can induce major changes in those differences.
Another relevant concept is that CO2 gradients are determined by flow, not by DO2. Despite similar degrees of oxygen supply dependence in isolated hindlimbs, regional Pv-aCO2 increased more than twofold in ischemic hypoxia and remained unchanged in hypoxic hypoxia, in which blood flow is normal [26]. Similar findings were described in whole animal models of hypoxic and anemic hypoxia, in which not only systemic and regional Pv-aCO2 but also Pt-aCO2 failed to reflect tissue hypoxia [27][28][29]. In both situations, blood flow is preserved. Therefore, CO2 differences depend on flow, and not on tissue hypoxia.

2.2. Venous Minus Arterial Carbon Dioxide Partial Pressure in Shock States

During the reductions in CO, there are opposite changes in O2 and CO2 venous content. Low-flow states are characterized by low venous O2 saturation and high venous PCO2. In low CO states, tissue and venous hypercarbia are ubiquitous phenomena that arise as a consequence of the reduced washout of CO2. In the eighties, the occurrence of venous hypercarbia during cardiac arrest was well-documented [30][31][32]. Experimental and clinical studies also found a widened Pv-aCO2 in other low CO states, such as hemorrhagic shock [33][34][35] and cardiac failure [32]. In hemorrhagic shock, Pv-aCO2 predictably reflects changes in CO. In acute progressive bleeding, the reductions in CO induce semilogarithmic increases in Pmv-aCO2 [28]. This regression fitting was repeatedly found in several conditions [36][37][38].
In experimental endotoxemic models and in patients with septic shock, Pv-aCO2 also tracks changes in CO [37][39][40][41][42][43]. In the different studies, the strength of the correlation between Pv-aCO2 and CO was quite variable. For example, an observational study in septic patients found a weak but significant correlation between Pcv-aCO2 and CO (R2 = 0.07, p < 0.0001) [42]. Nevertheless, the proper surrogate for CO is Pcv-aCO2, not Pmv-aCO2. The same study showed a poor agreement between Pcv-aCO2 and Pmv-aCO2 (95% limits of agreement = 9 mmHg), which is similar to that reported elsewhere [44]. Therefore, the variable strength of the correlation between Pv-aCO2 and CO could be explained by either modification in the other determinants (VCO2 and HbCO2 dissociation curve) or the use of Pcv-aCO2 instead of Pmv-aCO2. In spite of this, Pcv-aCO2 and Pmv-aCO2 depend on CO. This expression of Fick’s principle applied to CO2 was confirmed in systematic reviews including large numbers of critically ill and septic patients [45][46].
Given that low values of Pcv-aCO2 were associated with an improved outcome, it has been suggested as a goal for resuscitation [41][43][45][46][47][48][49][50]. Yet, its usefulness for this purpose has never been confirmed. On the contrary, a small, controlled study showed that resuscitation aimed to improve Pcv-aCO2 increases mortality [51].
As a relevant conclusion, Pcv-aCO2 and Pmv-aCO2 are strongly dependent on CO in physiological conditions and in shock states, including septic shock. Nevertheless, the ability of these variables to track CO is dampened by many factors:
(1) Haldane effect: When venous oxygen saturation increases as the result of increased blood flow, changes in venous blood CO2 partial pressure and content may differ from each other because of the Haldane effect [52]. In patients with septic shock, dobutamine-induced changes in CO were not followed by decreases in Pmv-aCO2 because of the simultaneous increase in venous O2 saturation [44].
In hyperoxia, the Haldane effect also determines increases in Pcv-aCO2 [53], even in the absence of changes in systemic and microvascular hemodynamics [54].
(2) Metabolic acidosis: The right shift in the HbCO2 dissociation curve [23] produces greater increases in PCO2 on the venous than on the arterial side. Therefore, metabolic acidosis can significantly increase Pv-aCO2 regardless of any change in blood flow [29][44][55].
(3) Hemodilution: Anemia also affects the ability to transport CO2. As repeatedly shown, hemodilution is associated with opposite changes in Cv-aCO2 and Pv-aCO2: Cv-aCO2 decreases and Pv-aCO2 increases [28][29].
(4) Acute changes in ventilation: Pmv-aCO2 increases with hyperventilation and decreases with hypoventilation [52][56][57]. Underlying mechanisms might be the reduction in blood flow and the increase in VCO2 driven by systemic alkalosis [58].
(5) Changes in temperature: Changes in body temperature induce parallel modifications in oxidative metabolism and VCO2 [18].
(6) Use of central instead of mixed venous samples: There are wide 95% limits of agreement between calculations of Pv-aCO2 using central or mixed venous blood [42][44]. Thus, Pcv-aCO2 might not reflect CO as well as Pmv-aCO2.
(7) The variability of the measurements: Given the variability of the measurements in successive determinations of the Pv-aCO2 gap, it is recommended to consider only variations of at least ±2 mmHg as real changes [59].

2.3. Venous Minus Arterial Carbon Dioxide Partial Pressure as a Monitor of Microcirculatory Perfusion in Septic Shock

Septic shock is a condition in which the coherence between systemic hemodynamics and microcirculation can be lost. A systemic hyperdynamic state can coexist with microvascular hypoperfusion in some territories. Tissue hypoperfusion could be identified by means of Pt-aCO2. Accordingly, experimental and clinical studies showed that sublingual, intestinal mucosal, and cutaneous Pt-aCO2 correlate with the respective microcirculatory flow [60][61][62]. In contrast, the systemic Pv-aCO2 depends on CO, while the regional Pv-aCO2 of different organs is determined by the corresponding blood flow of each organ. In conditions characterized by the dissociation between systemic cardiovascular variables and microcirculation, systemic Pv-aCO2 is also dissociated from Pt-aCO2 and microcirculation. Thus, systemic variables, such as Pmv-aCO2 and Pcv-aCO2 could fail to reflect tissue hypoperfusion. Nevertheless, many reviews recommended the use of Pcv-aCO2 for the monitoring of microcirculation in critically ill patients, even in situations of normal or high CO [15][49][63][64][65][66][67]. This recommendation is only based on the results of an observational study, which assessed the relationship of Pmv-aCO2 to systemic hemodynamics and sublingual microcirculation [66]. Seventy-five patients with septic shock were evaluated at basal conditions and 6 h later. The study showed that changes in Pmv-aCO2 correlated with changes in the proportion of perfused microvessels, but there was no such correlation between Pmv-aCO2 and CO. The main conclusion of the study was that Pmv-aCO2 could reflect microvascular flow and not systemic hemodynamic variables. Considering that this suggestion challenges Fick’s principle, the lack of correlation between Pmv-aCO2 and CO should have been explained by changes in the many other determinants of Pmv-aCO2, mainly those that modify the dissociation of CO2 from Hb. The authors stated that corrections for the Haldane effect were done, but this point was not clearly addressed in the manuscript, especially because O2 saturations were calculated instead of being directly measured by a co-oximeter.
Another study, performed in patients with cardiogenic shock on venoarterial extracorporeal membrane oxygenation, found that Pv-aCO2 was higher in nonsurvivors than in survivors (7.4 mm Hg [5.7–10.1] vs. 5.9 mm Hg [3.8–9.2], p < 0.01) [68]. Since the flow rate was similar in both groups, the authors concluded that a high Pv-aCO2 might reveal the presence of a microcirculatory dysfunction. Regardless of the subtle difference in Pv-aCO2 between groups, the study showed a correlation between Pv-aCO2 and flow rate. Moreover, venous oxygen saturation and lactate were higher and hemoglobin was lower in nonsurvivors than in survivors. In the absence of direct microvascular assessment, differences in Pv-aCO2 could be completely explained by these findings. Consequently, any reference to microcirculatory dysfunction may be reasonable but also speculative.
Contrary to the intriguing findings and interpretations of those studies [66][68], a large body of evidence shows that Pv-aCO2 and CO are correlated in septic shock [37][39][40][41][42][43][45][46]. Moreover, several studies showed that systemic and regional Pv-aCO2 fail to reflect microvascular perfusion because they are dependent on systemic or regional flow, and not on microvascular perfusion. In an experimental model of septic shock, the administration of endotoxin initially induced a hypodynamic state with reductions in CO, superior mesenteric artery blood flow, and mucosal microcirculatory perfusion. This condition was indicated by the widening of systemic, regional, and tissue PCO2 gradients [60]. Fluid resuscitation increased CO and superior mesenteric artery blood flow but failed to improve villi microcirculation. Accordingly, systemic and intestinal Pv-aCO2 normalized. In contrast, mucosal Pt-aCO2 remained elevated as an expression of the persistent villi hypoperfusion [60]. In patients with septic shock, sublingual microcirculation was altered and red blood cell velocity was low regardless of the systemic hemodynamic pattern [69]. Pmv-aCO2, however, was lower in patients with hyperdynamic shock (cardiac index ≥ 4.0 L/min/m2) than in patients with normal CO (7 ± 2 vs. 5 ± 3 mm Hg, p < 0.05). Another study, performed in patients with septic shock, found that skin flow was correlated with the cutaneous Pt-aCO2 and was a strong predictor of outcome. As an expression of the lack of coherence between systemic hemodynamics and microcirculation, skin perfusion did not correlate with CO, and neither CO nor Pmv-aCO2 was a predictor of outcome [62]. Unrelated to Pv-aCO2, Pt-aCO2 does track changes in microvascular perfusion [60][61][62].

3. Venous Minus Arterial Carbon Dioxide Partial Pressure to Arterial Minus Venous Oxygen Content Difference Ratio

3.1. Physiological Background

Under aerobic conditions, progressive workloads of exercise are associated with equivalent rises in VCO2 and VO2 as a reflection of the increasing oxidative metabolism. Therefore, the slope of the relationship—the RQ—persists initially unchanged. When the exercise becomes anaerobic, however, the increases in VCO2 surpass those from VO2, and the RQ abruptly increases. This phenomenon concurs with the occurrence of hyperlactatemia and is known as the anaerobic threshold [70]. In the other extreme of physiology, during oxygen supply dependence, the RQ sharply rises because the decreases in VO2 are higher than the falls in VCO2 [11][12][13][14]. VO2 and VCO2 fall as an expression of the reduction in oxidative metabolism. The lower decrease in VCO2 is explained by the appearance of anaerobic VCO2. In both situations, the anaerobic exercise and the critical reductions in O2 delivery, the anaerobic VCO2 results from the buffering by bicarbonate of anaerobically generated protons. Consequently, the increase in RQ highlights the ongoing global anaerobic metabolism. Regional RQ, calculated as Cv-aCO2/Ca-vO2, has also been used to determine the presence of tissue hypoxia [28][71]. In a landmark study in pigs with endotoxemic shock, the use of epinephrine—compared to norepinephrine—was associated with lower blood flow and a higher Pv-aCO2, lactate-to-pyruvate ratio, and gastric Cv-aCO2/Ca-vO2 [71].
Of note, the evaluation of RQ and CO2 contents is further complicated by the dynamics of CO2 stores and the time required to reach an equilibrium after hemodynamic, ventilatory, or metabolic changes [72]. Despite the lack of complete steady-state conditions, changes in expired gases quickly provide an alert about hemodynamic and metabolic changes [11][12][13][14][70].
Even though the determination of RQ is an attractive method for the identification of global tissue hypoxia, the metabolic carts needed for its measurement are not usually available in intensive care units. Additionally, measurements of RQ are not reliable if a high inspired oxygen fraction is used [73]. For these reasons, a simplification of Fick’s equation adapted to CO2, the Pv-aCO2/Ca-vO2, was proposed as a substitute for RQ [70]. Thus, high values of Pv-aCO2/Ca-vO2 with a cutoff of 1.4 have been associated with hyperlactatemia and high mortality [74]. Furthermore, Pcv-aCO2/Ca-cvO2 has been repeatedly included as part of algorithms for the assessment of tissue oxygenation [15][65][75][76]. Nevertheless, the evidence for these recommendations is quite limited and of low quality.
The utilization of Pcv-aCO2/Ca-cvO2 as a surrogate for RQ and tissue oxygenation depends on the following statements. First, RQ is the ratio between VCO2 and VO2:
RQ = VCO2/VO2
Considering Fick’s equation, the previous equation can be reformulated as:
RQ = CO × Cmv-aCO2/CO × Ca-mvO2
Next, a similarity between mixed and central samples is taken:
RQ = Q × Ccv-aCO2/Q × Ca-cvO2
Then, the common factor (CO) is simplified in numerator and denominator:
RQ = Ccv-aCO2/Ca-cvO2
Finally, Ccv-aCO2 is replaced by Pcv-aCO2, assuming that CCO2 and PCO2 are linearly correlated over the physiological range of CO2 content:
RQ = Pcv-aCO2/Ca-cvO2
Unfortunately, some of these expectations are problematic. In the following paragraphs, these questions will be discussed.

3.2. Limitations of Pcv-aCO2/Ca-cvO2 as a Surrogate of RQ

(1) The use of Pcv-aCO2 instead of Ccv-aCO2 in the calculation of the ratio: The investigators that proposed the utilization of Pcv-aCO2/Ca-cvO2 as a surrogate of RQ stated that given the almost linear relationship between CO2 content and partial pressure over the physiological range, Pcv-aCO2 is an estimate of Ccv-aCO2 in clinical practice [76]. As extensively discussed in the previous section, this asseveration is unsupported. Alterations in the CO2Hb dissociation curve, such as those induced by acidosis, hemodilution, and the Haldane effect, can substantially change the Pcv-aCO2/Ca-cvO2, regardless of the absence of alterations in RQ and tissue oxygenation. In septic patients, hyperoxia increases Pcv-aCO2/Ca-cvO2 from 2.63 ± 1.00 to 4.34 ± 3.37 (p < 0.03) despite the lack of changes in systemic hemodynamics and sublingual microcirculation [54]. An experimental study focused on the drawbacks of Pcv-aCO2/Ca-cvO2 as a surrogate for RQ [29]. Pmv-aCO2/Ca-mvO2, RQ, and their determinants were assessed during decreases in DO2 produced by stepwise bleeding or hemodilution. Pmv-aCO2/Ca-mvO2 and RQ were poorly correlated. Furthermore, in hemodilution, Pmv-aCO2/Ca-mvO2 increased even before the beginning of the oxygen supply dependence and the rise in RQ. This result was explained by the opposing effects of the decrease in Hb concentration on Pmv-aCO2 and Ca-mvO2. The former increased because of the reduced ability to carry CO2 in anemia while the latter decreased as occurs when the reduction in DO2 depends on the fall in arterial oxygen content. Additionally, in the last stage of DO2 reduction and despite comparable levels of anaerobic metabolism and increases in RQ, Pmv-aCO2/Ca-mvO2 markedly increased in hemodilution, compared to hemorrhage, because of the abovementioned reasons. Finally, Hb, metabolic acidosis, the Haldane effect, the position in a flattened portion of the CO2 dissociation curve, and RQ were found to be independent predictors of Pmv-aCO2/Ca-mvO2 in a multiple linear regression model. Although Pcv-aCO2/Ca-cvO2 was dependent on RQ, this was its weakest determinant [29]. Similar results were obtained during hypoxic hypoxia in a model of isolated hindlimb [77].
Pcv-aCO2/Ca-cvO2 has been suggested as a tool to identify the aerobic or anaerobic origin of lactate [75][78]. As previously discussed, lactic acidosis can increase Pcv-aCO2/Ca-cvO2 because of its effects on the binding of CO2 to Hb, regardless of the aerobic or anaerobic production of lactate. In an experimental model of hemorrhagic shock, blood retransfusion normalized VO2 and RQ, but Pmv-aCO2/Ca-mvO2 remained high as a probable consequence of persistent hyperlactatemia [79]. In view of that, Pv-aCO2/Ca-vO2 could be considered a misleading tool to establish the meaning of hyperlactatemia. Similar demonstrations are required in other settings such as septic shock before generalizing this concept.
(2) The poor agreement between central and mixed venous samples: Central and mixed venous blood samples are not interchangeable for the different calculations. Although a small study advocated that mixed venous and central O2 saturation have similar behavior [80], a multicenter study demonstrated that both variables have poor agreement and that the direction of their changes over time can be different [81]. The problem is even worse for CO2-derived variables. In a clinical study, the 95% limits of agreement between Pcv-aCO2/Ca-cvO2 and Pmv-aCO2/Ca-mvO2 were 1.48, which is clinically unacceptable [44].
(3) The use of a defined cutoff of Pcv-aCO2/Ca-cvO2 for the identification of the anaerobic threshold: Depending on the metabolic substrate used for oxidative metabolism, the normal RQ ranges from 0.67 to 1.30 [82]. Carbohydrate-based diet and overfeeding increase RQ while fat diet and fasting decrease RQ. In this way, the start of anaerobic metabolism is indicated by abrupt increases in RQ, not by a particular value [11][12][13][14]. The same consideration is valid for the Pcv-aCO2/Ca-cvO2.
(4) The use of calculated O2 saturation for Pcv-aCO2/Ca-cvO2: In some studies, the computation of Pcv-aCO2/Ca-cvO2 was performed by the use of O2 saturation calculated from blood gases and oxyhemoglobin dissociation curve instead of measurements by co-oximetry [66][83][84]. This is a severe methodological mistake because calculated O2 saturation is not a reliable estimate of measured values. In addition, the error of measurement is additionally propagated in the calculation of Pcv-aCO2/Ca-cvO2. Moreover, paired measurements of Pcv-aCO2/Ca-cvO2 in the same analyzer are poorly reproducible with 95% limits of agreement of 1.22 [59].

3.3. The Physiological Feasibility of Increased Pcv-aCO2/Ca-cvO2 as a Reflection of Tissue Hypoxia in Critically Ill Patients

In experiments on oxygen supply dependence, the raise in RQ is a sudden phenomenon leading to rapid death. In stepwise hemodilution, RQ rises only when Hb decreases to 1.2 g%. Similarly, in progressive hemorrhage, RQ increases when mean arterial pressure is lower than 30 mm Hg [10]. These are extreme and obvious conditions that can be easily diagnosed. High values of Pcv-aCO2/Ca-cvO2 in adequately resuscitated patients rarely express global anaerobic metabolism. In contrast, they almost certainly result from the occurrence of factors that alter the of CO2Hb dissociation curve, as shown in experimental models [29] and in high-risk noncardiac surgery [85]. In both circumstances, RQ and Pv-aCO2/Ca-vO2 showed a different behavior. In critically ill patients, a direct comparison between Pcv-aCO2/Ca-cvO2 and RQ has not yet been performed. Therefore, values of Pcv-aCO2/Ca-cvO2 should be cautiously interpreted in stable patients.

3.4. The Clinical Usefulness of Pcv-aCO2/Ca-cvO2

Despite the fact that Pcv-aCO2/Ca-cvO2 might not track the true value of RQ, it might still be useful to reflect the severity and predict the outcome of critical illness. Since it is partially determined by Hb and base excess, anemia, and metabolic acidosis can result in high Pcv-aCO2/Ca-cvO2 by themselves and highlight the presence of a severe condition or be predictors of mortality [86][87]. Thus, anemia and metabolic acidosis might be responsible for the predictive ability of Pcv-aCO2/Ca-cvO2.
The ability of Pcv-aCO2/Ca-cvO2 as a predictor of outcomes in critically ill patients has been extensively reviewed elsewhere [88]. More than twenty years ago, a retrospective study performed in 89 patients monitored with a Swan–Ganz catheter found that a value of Pmv-aCO2/Ca-mvO2 higher than 1.4 was a predictor of hyperlactatemia and mortality [74]. Yet, Pmv-aCO2/Ca-mvO2 values were similar in nonsurvivors and survivors (1.7 ± 1.0 vs. 1.3 ± 0.5). In contrast, lactate showed a better prognostic ability than Pmv-aCO2/Ca-mvO2 and was higher in nonsurvivors (5.4 ± 6.1 vs. 2.0 ± 1.5 mmol/L). Despite the fact that Pmv-aCO2/Ca-mvO2 and lactate were different over time in survivors and nonsurvivors, only Cmv-aCO2/Ca-mvO2 and lactate, but not Pmv-aCO2/Ca-mvO2, were predictors of outcome in 135 patients with septic shock [83]. In another study, Pcv-aCO2/Ca-cvO2 and lactate were lower in survivors than in nonsurvivors, but lactate was a better predictor of mortality (AUROC curves of 0.73 and 0.81, respectively) [89]. The combination of Pcv-aCO2/Ca-cvO2 and lactate was a better predictor of mortality and organ failures than each individual variable in a retrospective study that recruited 144 patients with septic shock [84]. Additionally, in 35 patients with septic shock, Pcv-aCO2/Ca-cvO2 was a strong predictor of lactate behavior, and both variables were associated with mortality [90]. Recent studies also found a relationship of Pcv-aCO2/Ca-cvO2 to mortality [91][92][93].
In contrast, other studies failed to find an association between Pcv-aCO2/Ca-cvO2 and lactate or outcome. In a large multicenter cohort study that included 363 patients with septic shock, Pcv-aCO2/Ca-cvO2 could not differentiate patients with hyperlactatemia or poor lactate clearance from patients with normal lactate levels or adequate lactate clearance [94]. Another observational study in 23 septic patients showed that Pcv-aCO2/Ca-cvO2 and Pmv-aCO2/Ca-mvO2 were similar in survivors and nonsurvivors [44]. In high-risk surgical patients, RQ was a predictor of postoperative complications whereas Pcv-aCO2/Ca-cvO2 showed no prognostic ability [85].
A recent systematic review and meta-analysis found that Pcv-aCO2/Ca-cvO2 is associated with outcome [85]. Although the study showed little or no difference in the ability of Pcv-aCO2/Ca-cvO2 and lactate to predict mortality, there was a trend favoring lactate. Nevertheless, the conclusions were limited by the considerable heterogeneity among the studies. After the publication of this meta-analysis, a large prospective observational study including 456 patients with septic shock compared the prognostic ability of lactate, Pcv-aCO2, and Pcv-aCO2/Ca-cvO2 [95]. Lactate at 6 h had the best predictive ability (AUROC of 0.902, 0.791, and 0.793, respectively). The combination of lactate and Pcv-aCO2 only resulted in trivial increases in the predictive value (AUROC = 0.930). In another recently published study in 98 patients with septic shock, Pcv-aCO2/Ca-cvO2 at 24 h, but not at 8 h, was higher in nonsurvivors than in survivors and was a predictor of lactate clearance [96]. In contrast, lactate clearance was associated with outcomes at 8 h and 24 h.
Even though the relationship between Pcv-aCO2/Ca-cvO2 and outcome is conflictive, high values of Pcv-aCO2/Ca-cvO2 have some prognostic implications. The ability to predict mortality, however, is not superior to that of lactate. There are also controversial results about the relationship between Pcv-aCO2/Ca-cvO2 and lactate.
Pcv-aCO2/Ca-cvO2 has also been used as a predictor of the dependence of VO2 on DO2 [43][97][98]. The oxygen supply dependence might indicate the occurrence of alterations in oxygen extraction and an oxygen debt, but its actual meaning is debatable [99]. Considering that VO2 and DO2 are usually computed from a common variable (CO), and the magnitude of change of the calculated variables is usually small, there is a considerable risk of mathematical coupling of data. Thus, oxygen supply dependence might not be an actual fact but an artifact. Moreover, those studies have a gross methodological drawback because VO2 was calculated using central venous instead of mixed venous samples. In other studies, however, Pcv-aCO2/Ca-cvO2 did not predict the increase in VO2 in response to a fluid challenge [100][101]. Therefore, the evidence regarding this issue is inconclusive.
The usefulness of Pcv-aCO2/Ca-cvO2 as a goal of resuscitation has only been assessed in two studies [47][102]. In a controlled trial, 228 septic patients were randomized to either Pcv-aCO2/Ca-cvO2 or central venous oxygen saturation-targeted resuscitation. Mortality, organ failures, length of stay, and other secondary outcomes were similar in both groups [102]. In another small, controlled study, Pcv-aCO2/Ca-cvO2 was not better than lactate as a goal for the resuscitation of septic patients [47].

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Subjects: Physiology
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Arnaldo Dubin
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Mario O. Pozo
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Revisions: 2 times (View History)
Update Date: 14 Jul 2023
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