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Circulation. 1998;98:1407-1413

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(Circulation. 1998;98:1407-1413.)
© 1998 American Heart Association, Inc.


Clinical Investigation and Reports

Estimation of Oxygen Delivery in Newborns With a Univentricular Circulation

Ofer Barnea, PhD; William P. Santamore, PhD; Anthony Rossi, MD; Ellis Salloum, MD; Sufan Chien, MD; ; Erle H. Austin, MD

From the Biomedical Engineering Department, Tel Aviv University, Israel (O.B.); the Department of Surgery, University of Louisville, Ky (W.P.S., E.S., S.C., E.H.A.); and the Division of Pediatric Cardiology, Mount Sinai Medical Center, New York, NY.

Correspondence to Dr Ofer Barnea, Biomedical Engineering Department, Faculty of Engineering, Tel Aviv University, Ramat Aviv 69978, Israel.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background—The management of neonates with complex congenital anomalies depends on careful interpretation of arterial blood gas values. Improved interpretation of these oxygen parameters may allow clinicians to avoid unexpected cardiovascular events. This study examined whether systemic oxygen delivery (DO2) can be maximized by the use of indices derived from oxygen saturation measurements in neonates with hypoplastic left heart syndrome.

Methods and Results—For the single-ventricle heart with both circulations in parallel, we used a previously developed computer simulation to obtain DO2 as a function of systemic arterial (SaO2) and venous (SvO2) oxygen saturation, arteriovenous oxygen difference (Sa-vO2), or pulmonary-to-systemic flow ratio (Qp/Qs). We also examined the oxygen excess factor, SaO2/Sa-vO2 ({Omega}). We found that (1) slight increases in SaO2 may be associated with large decreases in DO2. (2) Low values for SvO2 indicate low values for DO2. (3) Curves for Sa-vO2 and Qp/Qs are redundant in the data provided. (Qp/Qs, however, provides these data in more physiologically relevant terms.) (4) High values for Qp/Qs (>4) are associated with low DO2. (5) Estimating Qp/Qs from oxygen saturation measurements may result in errors when pulmonary venous oxygen saturation is not available. (6) Maximizing DO2 is extremely difficult using SaO2, SvO2, and Qp/Qs. (7) A linear relationship exists between {Omega} and DO2, and this linear relationship is not altered by changes in cardiac output.

Conclusions—Patients with low SvO2 values require attention. Ideally, after reducing Qp/Qs to <1.5, {Omega} might be a better index to guide further therapy and maximize DO2. Interventions that increased {Omega} would be considered beneficial, whereas interventions that decreased {Omega} would be considered detrimental.


Key Words: computers • hypoplastic left heart syndrome • hemodynamics • oxygen • pediatrics


*    Introduction
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up arrowAbstract
*Introduction
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down arrowResults
down arrowDiscussion
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Hypoplastic left heart syndrome is presently the most common cardiac malformation that results in death in newborns.1 Without treatment, 95% of these infants die during the first month of life, and none survive beyond 4 months.2

Management of neonates with hypoplastic left heart syndrome is complex and controversial. Treatment generally commences with vigorous infusion of prostaglandin to prevent the ductus arteriosus from closing.3 This restores fetal parallel circulation, with the right ventricle as the only active pump. However, reduction in pulmonary resistance after birth may result in an unbalanced circulation in which most blood flows into the pulmonary circulation, thereby compromising systemic oxygen supply.

In a previous theoretical analysis,4 we examined the effects of the ratio of pulmonary to systemic blood flow (Qp/Qs) on systemic oxygen delivery (DO2). We found that a Qp/Qs of <1 was optimal. However, maximizing oxygen delivery based on Qp/Qs was difficult. Further, when calculating Qp/Qs from blood gases, pulmonary venous oxygen saturation (SpvO2) is generally estimated. This can lead to substantial errors. Thus, in the present study, we examined whether DO2 can be maximized by the use of indices derived from oxygen saturation measurements.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
A model of flow in the univentricular circulation is shown in Figure 1Down. This diagram represents the circulation of the newborn with hypoplastic left heart syndrome that has been treated to maintain both atrial and arterial shunts open. Pulmonary venous return is forced into the right atrium, and right ventricular output is distributed between pulmonary and systemic circulations. This forms two parallel circulations.



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Figure 1. A model of the circulation with hypoplastic left heart syndrome. The darkened left ventricle (LV) indicates that the ventricle is not functioning and that blood does not flow through it. P indicates pulmonary circulation; S, systemic circulation; and RV, right ventricle.

In a previous study,4 we derived an equation for DO2 based on the simple flow of oxygen uptake in the lungs and whole-body oxygen consumption (CO2). The analysis is based on movement of oxygen into the pulmonary circulation (uptake) and out of the systemic circulation (consumption). The basic equation is as follows:

(1)
Equation 1Up states that the oxygen flow rate into the systemic circulation (CaO2 · Qs) is reduced by (CO2), leaving the reduced oxygen flow rate returning to the right ventricle (CvO2 · Qs).

(2)
Equation 2Up states that the oxygen flow rate into the pulmonary circulation (CaO2 · Qp) plus oxygen uptake in the lungs (SO2) gives the oxygen flow rate returning to the right ventricle (CpvO2 · Qp). Equation 3Down relates blood flow in the two circulations to total cardiac output (CO):

(3)
The analysis assumes steady-state conditions, and thus oxygen uptake and consumption must be equal:

(4)
By combining equations 1 to 4UpUpUpUp, DO2 (or CaO2 · Qs) equals

(5)
Thus, DO2 is a complex function of CO, pulmonary venous blood oxygen content CpvO2 rate of CO2 and Qp/Qs. Qp/Qs, based on the Fick principle, can be expressed in a single-ventricle heart with parallel circulation as

(6)
where SpvO2, SvO2, and SaO2 are pulmonary venous, systemic venous, and systemic arterial oxygen saturation, respectively. SaO2 and SvO2 levels can be measured. However, SpvO2 is difficult to measure and is generally estimated.5 To determine the error involved in calculating Qp/Qs based on this estimation, the derivative of equation 6Up with respect to SpvO2 is taken. Thus, the sensitivity ({Psi}) of Qp/Qs to SpvO2 (or the relative change in Qp/Qs that is generated by a small change in SpvO2) is

(7)
for example, when SpvO2 is 87.3% and arterial oxygen saturation is 77%, {Psi}=87.3/(87.3-77)=-8.5. This means that a 10% overestimation of SpvO2 will result in a 85% underestimation of Qp/Qs and vice versa. For example, with a SaO2 of 77% and a SvO2 of 45%, one may assume that SpvO2 is 96% when it is actually 87.3%. The calculated values of Qp/Qs would be 1.68, whereas the actual value for Qp/Qs is 85% greater, or 3.11. This indicates that calculating Qp/Qs by the use of equation 6Up and assuming a value for SpvO2 involves a risk of large errors.

Buheitel et al6 proposed that an index of oxygen delivery/oxygen consumption is helpful in managing infants with critical cardiovascular problems. We refer to this index as the oxygen excess factor (SaO2/Sa-vO2 [{Omega}]), which can be calculated on the basis of 2 measurements of oxygen saturation:

(8)
Using a computer (Compaq Computer Corp), we used the above equations to determine the relationship of SaO2, SvO2, arterial-venous oxygen difference Sa-vO2, Qp/Qs, and {Omega} versus DO2. The blood oxygen content was converted to percent oxygen saturation by assuming a hemoglobin of 15 g/dL, giving an O2 capacity of 22 mL O2 per dL blood (1.38x15 per hemoglobin). CO2 was set at 9 mL oxygen per minute per kilogram, which represents an average value for neonates after cardiac surgery.7 8

In computer simulations, a wide range of values can be examined. For the results section, we selected 2 very different levels of DO2. Setting the CO to 300 mL · min-1 · kg-1 simulated the low level of DO2, whereas setting the CO to 450 mL · min-1 · kg-1 simulated the high level of DO2. Assuming a body surface area of 0.25 m2 for a 3.0-kg newborn, this gave a range in cardiac index from 3.6 to 5.4 L · min-1 · m-2.


*    Results
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up arrowMethods
*Results
down arrowDiscussion
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Figure 2Down plots SaO2 against DO2. Two curves are presented: 1 with a lower level of DO2 and the other with a higher DO2. Both curves demonstrate a nonlinear relationship between delivery and saturation. As SaO2 increases, oxygen delivery increases, reaches a peak, and then decreases rapidly. Peak oxygen delivery occurs at Qp/Qs<1. For Qp/Qs>1, slight increases in SaO2 can be associated with large decreases in oxygen delivery. For example, for the higher oxygen delivery curve, increasing SaO2 from 80% to 85% decreases oxygen delivery from 34.1 to 14.6 mL O2 per minute per kilogram. However, this doesn't mean that increasing SaO2 is always associated with a decrease in oxygen delivery. For example, going from the lower oxygen delivery curve at an arterial oxygen saturation of 65% to the upper oxygen delivery curve at an arterial oxygen saturation of 70% increases oxygen delivery from 24.0 to 45.0 mL O2 per minute per kilogram.



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Figure 2. Systemic arterial oxygen saturation versus systemic oxygen (O2) delivery. Two curves are presented. The curves were generated by setting the CO at 300 or 450 mL · min-1 · kg-1 and varying Qp/Qs from 0.2 to 10. Most patients will have Qp/Qs>1. The short line on each curve represents the point at which Qp/Qs=1. Note that similar low and high oxygen delivery curves can be generated with many combinations of CO, SpvO2, and CO2.

Figure 2Up also shows that for any given SaO2, a range of values exists for oxygen delivery. For example, at an SaO2 of 70%, oxygen delivery can range from {approx}21.9 mL to as much as 45.0 mL O2 per minute per kilogram, depending on the CO. Additionally, no 1 value of SaO2 exists at which oxygen delivery peaks. For the upper curve, oxygen delivery peaks at 45.4 mL O2 per minute per kilogram at an arterial oxygen saturation of 64%, whereas for the lower curve, a peak oxygen delivery of 24.6 mL O2 per minute per kilogram occurs at an arterial oxygen saturation of 60%.

Figure 3Down plots SvO2 against DO2. Both curves show a nonlinear relationship between oxygen delivery and SvO2. However, for Qp/Qs>1, increases in SvO2 are associated with increases in oxygen delivery. Values of SvO2<40% are indicative of severe derangements in oxygen transport (that is, the relationship between oxygen delivery versus demand). While potentially related to an increase in oxygen demand in the face of normal oxygen delivery in the immediate postoperative period, a SvO2<40% usually reflects a critical decrease in DO2. Higher SvO2 values are associated with higher DO2 values. However, for each curve, peak oxygen delivery does not occur at the peak SvO2. Further, even without a change in CO, the same SvO2 value can be associated with two possible values for oxygen delivery, depending upon the Qp/Qs value. For example, for the higher oxygen delivery curve, a SvO2 of 50% can have a DO2 of 44.9 mL O2 per minute per kilogram when Qp/Qs=0.38 or 22.5 mL O2 per minute per kilogram, when Qp/Qs=2.68.



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Figure 3. Systemic oxygen (O2) delivery against SvO2.

Figure 4Down plots Sa-vO2 versus DO2. As with the other plots, a nonlinear relationship exists between oxygen delivery and Sa-vO2. An Sa-vO2>40 (ie, occurs at Qp/Qs>3) implies very low levels of oxygen delivery irrespective of the CO level. For Qp/Qs>1, as Sa-vO2 decreases, oxygen delivery increases. As Sa-vO2 continues to decrease, oxygen delivery peaks. Beyond this peak, oxygen delivery decreases rapidly even though the Sa-vO2 continues to decrease. For any given value for Sa-vO2, a range of values exist for oxygen delivery. For example, at an Sa-vO2 of 20, oxygen delivery ranges from 23.8 to 35.7 mL O2 per minute per kilogram depending on the CO. Also, no 1 Sa-vO2 value exists for peak DO2. For the upper curve, oxygen delivery peaks at an Sa-vO2 of 12.7 (45.4 mL · min-1 · kg-1), whereas peak oxygen delivery for the lower curve lies at an Sa-vO2 of 21.8 (24.6 mL · min-1 · kg-1).



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Figure 4. Systemic oxygen (O2) delivery against Sa-vO2.

Figure 5ADown plots DO2 versus Qp/Qs. Once again, the relationship between oxygen delivery and Qp/Qs is nonlinear. For Qp/Qs>4, oxygen delivery levels are very low and can only be partially compensated by higher levels of CO. As Qp/Qs decreases toward 1, oxygen delivery increases and peaks at values of Qp/Qs<1. If Qp/Qs continues to fall, oxygen delivery precipitously decreases. For any given value of Qp/Qs, a range of oxygen delivery values exists, and no single value for Qp/Qs can predict an absolute peak in oxygen delivery.



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Figure 5. A, Systemic oxygen (O2) delivery versus Qp/Qs, B, Qp/Qs and its sensitivity as a function of estimated SpvO2. Two curves are shown, one for a 5% overestimation of SpvO2, the other for a 10% overestimation of SpvO2. The analysis assumes a SaO2 of 77% and a SvO2 of 45%. The error in calculating the Qp/Qs ratio depends on both the error in estimating and the actual value of SpvO2.

Compared with the other indices, Qp/Qs provides physiological information regarding the relative pulmonary (Qp) and systemic (Qs) flows. One disadvantage of Qp/Qs is that the value for SpvO2 is generally estimated, and this estimation can cause errors in calculating Qp/Qs. Based on Equation 7Up, the errors in the calculated values of Qp/Qs as a function of SpvO2 are plotted in Figure 5BUp. The figure shows that for the same percentage error in SpvO2, the calculation error of Qp/Qs is significantly larger at low values of SpvO2. For example, at the highest level of SpvO2 a minimal error of 5% (estimating SpvO2 as 95% instead of the actual value of 90%) will yield a 25% error in the calculated Qp/Qs. Estimating SpvO2 as 88% when the actual value is 84% will result in a 60% error in Qp/Qs. A more specific example is when SaO2 is 77% and SvO2 is 45%, with an assumed SpvO2 of 96%; the calculated Qp/Qs would be 1.68. If, however, the actual value for SpvO2 was 91.4% (a 5% overestimation), the actual Qp/Qs would be 2.22. For a 10% overestimation of SpvO2 (87.3% versus 96%), the actual Qp/Qs would be 3.11.

Figure 6Down plots the DO2 versus {Omega}. Compared with the other relationships, a linear relationship exists between DO2 and {Omega}. As {Omega} increases, DO2 increases in a linear fashion, and the higher {Omega}, the higher the DO2. Further, despite the large differences in CO, all the points lie on the same line. For the lower CO (300 mL · min-1 · kg-1), the points lie on the lower left side of the line at the lower levels of DO2. For the higher CO (450 mL · min-1 · kg-1), the points lie on the upper right side of the line.



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Figure 6. Systemic oxygen (O2) delivery versus {Omega} (SaO2/Sa-vO2). Light dashed line with Xs represents values obtained with a CO of 300 mL · min-1 · kg-1. Heavy dashed line represents values obtained with a CO of 450 mL · minK-1 · kg-1.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
The management of neonates with complex congenital anomalies such as hypoplastic left heart syndrome depends on careful interpretation of arterial blood gas values. Improved interpretation of these oxygen parameters may allow clinicians to avoid unexpected cardiovascular events. Thus, we used a previously developed computer simulation to obtain DO2 as a function of SaO2, SvO2, SvO2, and Qp/Qs.4 Additionally, based on work by Buheitel et al,6 we examined {Omega}. The primary findings are as follows:

  1. Slight increases in SaO2 may be associated with large decreases in DO2.
  2. In the immediate post-operative period, low values for SvO2 indicate low values for DO2.
  3. The curves for Sa-vO2 and Qp/Qs are redundant in the data provided Qp/Qs, however, provides these data in more physiologically relevant terms.
  4. High values for Qp/Qs (>4) are associated with low DO2, which is only partially compensated by increases in CO.
  5. Estimating Qp/Qs from oxygen saturation measurements may result in errors when SpvO2 is not available.
  6. Maximizing DO2 is extremely difficult using just SaO2, SvO2, or Qp/Qs.
  7. A linear relationship exists between {Omega} and DO2, and this linear relationship is not altered by changes in CO and SpvO2.

Clinical Implications
The {Omega} is based only on systemic oxygen saturation measurements and reflects relative excess oxygen delivery.6 The {Omega} is calculated as SaO2 divided by Sa-vO2, and it is the ratio of oxygen delivery to oxygen consumption (the reciprocal of the oxygen-extraction ratio). Compared with the other relationships, a linear relationship exists between DO2 and {Omega}. As {Omega} increases, DO2 increases in a linear fashion, and the higher the {Omega}, the higher the DO2. Thus, irrespective of CO and SpvO2, high {Omega} values are associated with high levels of DO2. This suggests that {Omega} may be a better index to use to maximize DO2.

The one disadvantage of {Omega} is that the slope of {Omega} versus DO2 varies with oxygen consumption (see Figure 7Down). Situations that increase DO2 but have greater percentage increases in oxygen consumption would reduce the {Omega} even though total DO2 increased. Again, {Omega} is the relative excess in DO2. The implications of an increase in DO2 with a decrease in {Omega} needs further consideration.



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Figure 7. Systemic oxygen delivery (O2) versus {Omega} (SaO2/Sa-vO2). Two lines are presented. For both lines, the CO was 450 mL · min-1 · kg-1. For one line, CO2 was set at 9 mL oxygen per minute per kilogram, which might represent the situation shortly after surgery with the neonate sedated and partially paralyzed.7 For the other line, CO2 was set at 18 mL oxygen per minute per kilogram. As is apparent in this example, changing CO2 effects the slope of the relationship between DO2 and {Omega}.

Based on this analysis and discussion, one strategy for perioperative management of patients with hypoplastic left heart syndrome might be to measure SaO2 and SvO2. Patients with low SvO2 values require immediate attention. An elevated estimated Qp/Qs ratio would indicate excessive Qp. Ideally, after reducing the estimated Qp/Qs<1.5, {Omega} would guide further therapy to maximize DO2. Interventions that increased {Omega} would be considered beneficial, whereas interventions that decreased {Omega} would be considered detrimental.

Comparison to Literature
We have recently developed a stable, closed heart model of a univentricular heart. We used neonatal pigs (3.5 to 6.0 kg) to anastomose a Gore-Tex graft from the innominate artery and to the pulmonary artery. We created an atrial septostomy by using a Rashkind septostomy catheter. Occluding the right ventricular outflow tract completed a univentricular circuit in which all CO exited from the left ventricle and the pulmonary circulation was maintained via flow through the innominate artery-to-pulmonary artery shunt.9

We used this model to examine the response to inotropic agents in the univentricular circulation.10 The response to inotropic agents depended upon the agent. Dobutamine (15 µg · kg-1 · min-1) increased the Qp/Qs ratio (1.03 to 2.52), while epinephrine (0.1 µg · kg-1 · min-1) decreased the Qp/Qs ratio (1.23 to 0.82). Associated with these changes, dobutamine decreased DO2 from 50 to 36 mL O2 per minute, while epinephrine increased DO2 from 40 to 56 mL O2 per minute. If we apply the index {Omega} to these data, we can derive the same conclusions: dobutamine decreased {Omega} from 1.96 to 1.86, while epinephrine increased {Omega} from 1.63 to 2.22.

Buheitel et al6 examined the ability of SvO2 and {Omega} to estimate cardiac index. They studied 25 infants and children with biventricular pathophysiology in the postoperative period after complete repair of congenital heart disease. Cardiac index was calculated using the Fick principle. SvO2 provided a reasonable estimate of cardiac index. However, {Omega} provided the best estimate of cardiac index.

Seear et al11 examined the oxygen consumption-delivery relationship in children. In stable children with normal lactate levels, they found no significant rise in oxygen consumption when oxygen delivery was increased by erythrocyte transfusion. Conversely, infusion of adrenaline increased both consumption and DO2. Berman et al12 examined oxygen transport in patients with congenital heart disease. They found that DO2 varied in direct relation to CO, but not with arterial oxygen content. DO2 varied with SvO2.

The oxygen extraction ratio is also predictive of outcome. Rossi et al13 studied 49 infants after congenital heart surgery. The infants were intubated, paralyzed, and sedated with a continuous infusion of fentanyl. Arterial blood gas data and mixed venous oxygen saturation were measured on admission to the intensive care unit and at 6 hours and 24 hours. Severe derangements in the oxygen extraction ratio were present in nonsurvivors at 6 hours after admission to the intensive care unit.13 Infants with an oxygen extraction ratio >0.5 at 6 hours were at a much greater risk of dying.

Limitations of Study
This analysis is based on a few simple equations describing the flow of oxygen in the univentricular circulation. The analysis showed that DO2 is a complex function of CO, CpvO2, CO2, and the Qp/Qs ratio. For given values of Qp/Qs, CO, and SpvO2, the analysis can predict the DO2. However, the analysis cannot describe how these values for Qp/Qs, CO, and SpvO2 are achieved; nor can it predict the whole body response to a change in one variable. For example, a decrease in SpvO2 may increase pulmonary vascular resistance, improve the Qp/Qs ratio, and lead to an increased DO2. A more complex model of the circulation is needed to predict whole-body responses to changes in the variables.14

Obviously, care should always be taken in extrapolating from a theoretical analysis to a clinical situation. One concern is the measurement of mixed venous oxygen saturation. To measure the saturation of mixed venous blood, samples must be recovered from a central site at which all systemic venous blood is fully mixed.15 In a theoretical model, this is easy to achieve. However, in a neonate with hypoplastic left heart syndrome, it is impossible to achieve. The pulmonary artery (or, after the Norwood procedure, the neoaorta) contains both oxygenated and deoxygenated blood. The right atrium also contains both oxygenated and deoxygenated blood. This necessitates sampling in the superior or inferior vena cava. The great veins generally are not used for central venous sampling, because the relative saturations of the superior and inferior venae cavae differ greatly with hemodynamic status.16 With no other choice remaining, blood samples must be obtained from the vena cava, and although this blood is not a truly mixed sample, it should represent trends. By convention, the saturation in the superior vena cava has been used by most pediatric cardiologists as a reflection of the mixed venous oxygen saturation.

Summary
This study examined whether DO2 can be maximized by the use of indices derived from oxygen saturation measurements in neonates with hypoplastic left heart syndrome. We used a previously developed computer simulation to obtain DO2 as a function of SaO2, SvO2, Sa-vO2, and Qp/Qs. We also examined the {Omega}. Because of nonlinear relationships, maximizing DO2 is extremely difficult by SaO2, SvO2, or Qp/Qs. However, a linear relationship exists between {Omega} and DO2, and this linear relationship is not altered by changes in CO and SpvO2. Ideally, after reducing Qp/Qs<1.5, {Omega} might be a better index to guide further therapy and maximize DO2.


*    Acknowledgments
 
This study was supported in part by a grant from the Alliant Community Trust Fund.

Received February 23, 1998; revision received May 20, 1998; accepted June 3, 1998.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 
1. Norwood WI Jr. Hypoplastic left heart syndrome. In: Sabiston DC, ed. Textbook of Surgery. Philadelphia, Pa: WB Saunders; 1991:1930–1935.

2. Stuart AG, Wren C, Sharples PM. Hypoplastic left heart syndrome: more potential transplant recipients than suitable donors. Lancet.. 1991;337:957–959.[Medline] [Order article via Infotrieve]

3. Norwood WI Jr. Hypoplastic left heart syndrome. Cardiol Clin.. 1989;7:377–385.[Medline] [Order article via Infotrieve]

4. Barnea O, Austin EH, Santamore WP. Balancing the circulation: theoretic optimization of pulmonary/systemic flow ratio in hypoplastic left heart syndrome. J Am Coll Cardiol.. 1994;24:1376–1381.[Abstract]

5. Rossi AF, Sommer RJ, Lotvin A, Gross RP, Steinberg LG, Kipel G, Golinko RJ, Griepp RB. Usefulness of intermittent monitoring of mixed venous oxygen saturation after stage I palliation for hypoplastic left heart syndrome. Am J Cardiol.. 1994;73:1118–1123.[Medline] [Order article via Infotrieve]

6. Buheitel G, Scharf J, Hofbeck M, Singer H. Estimation of cardiac index by means of the arterial and the mixed venous oxygen content and pulmonary oxygen uptake determination in the early post-operative period following surgery of congenital heart disease. Intensive Care Med.. 1994;20:500–503.[Medline] [Order article via Infotrieve]

7. Palmisano BW, Fisher DW, Willis M, Gregory GA, Ebert PA. The effect of paralysis on oxygen consumption in normoxic children after cardiac surgery. Anesthesiology.. 1984;61:518–522.[Medline] [Order article via Infotrieve]

8. Chang AC, Kulik TJ, Hickey PR, Wessel DL. Real time gas exchange measurement of oxygen consumption in neonates and infants after cardiac surgery. Crit Care Med.. 1993;21:1369–1375.[Medline] [Order article via Infotrieve]

9. Randsbaek F, Riordan CJ, Storey JH, Montgomery WD, Santamore WP, Austin EH. An animal model of the univentricular heart and single ventricular physiology. J Invest Surg.. 1996;9:375–384.[Medline] [Order article via Infotrieve]

10. Riordan CJ, Randsbaek F, Storey JH, Montgomery WD, Santamore WP, Austin EH. Inotropes in the hypoplastic left heart syndrome: effects in an animal model. Ann Thorac Surg.. 1996;62:83–90.[Abstract/Free Full Text]

11. Seear M, Wensley D, MacNab A. Oxygen consumption-oxygen delivery relationship in children. J Pediatr.. 1993;123:208–214.[Medline] [Order article via Infotrieve]

12. Berman W Jr, Wood SC, Yabek SM, Dillion T, Fripp RR, Burstein R. Systemic oxygen transport in patients with congenital heart disease. Circulation.. 1987;75:360–368.[Abstract/Free Full Text]

13. Rossi AN, Seiden HS, Gross RP, Griepp RB. Oxygen transport in critically ill infants following heart surgery. Pediatrics.. 1997;100:449–450.

14. Barnea O, Santamore WP. Coronary autoregulation and optimal myocardial oxygen utilization. Basic Res Cardiol.. 1992;28:290–301.

15. Whyte RK. Mixed venous oxygen saturation in the newborn: can we and should we measure it? Scand J Clin Lab Invest Suppl.. 1990;203:203–211.[Medline] [Order article via Infotrieve]

16. Scheinman MM, Brown MA, Rapaport E. Critical assessment of use of central venous oxygen saturation as a mirror of mixed venous oxygen in severely ill patients. Circulation.. 1989;40:165–172.[Abstract/Free Full Text]




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