ABSTRACT

Close monitoring of the balance between oxygen demand and supply is of great importance during cardiac cardiopulmonary bypass (CPB) surgery. This study was to compare conventional intermittent venous blood gas monitoring with continuous transcutaneous oxygen and carbon dioxide monitoring in infant patients undergoing cardiac surgery with CPB. According to paired data from 29 infant patients undergoing cardiac surgery we found that a positive correlation existed between the two techniques, with a correlation coefficient 0.9021 and 0.8021 for PO₂ and PCO₂ respectively. It’s concluded that transcutaneous monitoring and intermittent venous blood sampling had good correlation and transcutaneous monitoring may be used conveniently and safely clinically during CPB.

1. INTRODUCTION

Most infant cardiac surgeries are conducted with the help of cardiopulmonary bypass (CPB). Because low body weight infant patients have a higher energy demand than adult patients, blood flow adjustment according to temperature changes during CPB is of utmost importance to ensure enough tissue perfusion and avoid hypoxaemia [1-3]. To closely monitor the balance between oxygen demand and supply many approaches were developed including invasive and noninvasive measurements [4-6]. In the circumstances of CPB intermittent blood gas monitoring, which is the rule in cardiac surgery, often fails to detect the rapid changes in real-time oxygen balance especially in the beginning and rewarming stages of CPB [7]. The aim of this study was to compare conventional intermittent venous blood gas monitoring with the continuous transcutaneous oxygen (TcpO₂) and transcutaneous carbon dioxide pressure (TcpCO₂) monitoring in infant patients undergoing cardiac surgery with CPB.

2. PATIENTS AND METHODS

2.1. Patients

Patient population was composed of 29 infants who underwent CPB cardiac surgery in Department of Cardiovascular Surgery, Xijing Hospital (Xi’an, China). These infants included 18 males and 11 females with average age 8.3 ± 0.3 months and average weight 6.2 ± 0.2 kg. Type of caridac malformations included 11 cases of ventricular septal defect with patent ductus arteriosus in 6 cases, 5 cases of total anomalous pulmonary venous connection, 10 cases of tetralogy of Fallot and 3 cases of complete atrioventricular septal defect. This study was conducted under the guidance of the Ethics Committee of The Fourth Military Medical University, Xi’an China and written informed consent was obtained from the infants’ parents.

Anesthesia and CPB

All patients were intubated and anesthetized by general anesthesia which was routinely induced and maintained by intravenous propofol, sufentanil citrate, and atracurium. Patients were heparinized before CPB with 300 IU/kg heparin and CPB was routinely set up by aortic cannulation and superior and inferior vena caval cannulation. The extracorporeal circuit was primed with various amounts of a balanced acetate solution containing 5% albumin, 0.5 g/kg mannitol, 2500 U of heparin. Membrane oxygenator was used, and appropriate flows were obtained during moderate hypothermia (esophageal temperature, 28˚C - 29˚C) to maintain the venous oxygen saturation between 65% and 75%. Extra fluid was removed with modified hemofiltration to increase the hematocrit value to 0.32 to 0.35 after discontinuation of CPB. Hypothermic myocardial protection was provided by aortic cross-clamping and antegrade infusion of icecold blood cardioplegic solution in a single dose of 20 mL/kg over 20 minutes.

2.2. Monitoring of Peripheral TcpO₂ and TcpCO₂

When anesthesia was already prepared for the surgery, a heated TcpO₂ and TcpCO₂ sensor connected to Radiometer TCM 400 was placed on the left or right shoulder anteriorly after a two-point calibration. After the initiation of CPB intermittent venous blood gas data and corresponding TcpO₂ and TcpCO₂ data were collected at specific three time-points: Before aortic-clamp, during cardiac arrestment and after resuscitation of the heart. During CPB the systemic blood flow was closely adjusted according to results of blood gas and TcpO₂ and TcpCO₂ to keep venous oxygen saturation between 65% and 75%.

2.3. Statistical Analysis

All data were expressed by mean ± SD and analyzed by correlation analysis using the SPSS software system, version 17.1 (SPSS Inc., Chicago, IL, USA).

3. RESULTS

All patients’ surgical correction were successfully completed under moderate hypothermia CPB. The total CPB time was 50 - 115 min (72.7 ± 10.4 min) and the aortic-clamp time was 19 - 51 min (33.2 ± 9.1 min). All the patients resumed spontaneous rhythm after removal of aortic cross-clamp, and there was no temporary pacing needed for any heart.

Each pair of data was composed of venous blood gas PvO₂ or PvCO₂ and corresponding TcpO₂ or TcpCO₂ values at different time-points. Pairs of data were collected from these patients and correlation analysis between blood gas values and transcutaneous values was then analyzed.

The relationship between venous blood gases (PvO₂, PvCO₂) and transcutaneous values was linear. The regression equation for PvO₂ and TcpO₂: y = 0.2013349 + 0.9743829x, with a correlation coefficient (r) 0.9021 and residual standard deviation 0.69972 (Figure 1). The regression equation for PvCO₂ and TcpCO₂: y = 0.5014447 + 0.6743009x, r = 0.8021 and residual standard deviation 0.58879 (Figure 2).

4. DISCUSSION

We reported here a comparison between TCM transcutaneous blood gas monitor and venous blood gas sampling and demonstrated a significant positive correlation between the two techniques.

An important goal of hemodynamic monitoring is the

early detection of inadequate tissue perfusion and oxygenation to avoid hypoxia. In clinical practice tissue oxygenation is frequently assessed by using conventional global measurements such as blood pressure, oxygenderived variables, and blood lactate levels. However, the assessment of global hemodynamic parameters fails to reflect the imbalance between oxygen demand and oxygen supply, or the status of microcirculation [8-10]. Adequate peripheral tissue oxygen supply is one important part of blood flow provided by CPB. Several easily obtained noninvasive monitoring techniques were developed such as body temperature gradient monitoring, transcutaneous oximetry, and sublingual capnometry [11]. Of these, continuous noninvasive measurement of oxygen and carbon dioxide tensions can be easily and feasibly applied because both gases can diffuse through the skin, and thus their partial pressures can be measured in transcutaneous tissue. The correlation between TcpO₂ and PaO₂ has been verified in many instances including intensive care patients especially newborn infants [12-15]. Tissue oxygen pressure depends greatly on blood flow to tissue. During cardiac CPB blood flow changes partly from pulsatile pattern to nonpulsatile perfusion peripheral oxygen supply depends more on perfusion flow and peripheral microcirculation and the balance between oxygen demand and supply must be watched carefully to avoid inadequate tissue perfusion. Unfortunately, it’s reported that there are long delays before blood gas abnormalities during cardiac operations as discovered by conventional intermittent blood sampling, as compared to continuous blood gas monitoring [16,17]. So continuous monitoring of body perfusion plays an instructive role in the adjustment of perfusion flow because of rapid temperature change during CPB.

TcpO₂ and TcpCO₂ are mainly correlated to arterial blood sampling and they’re already proved to correlate well experimentally and clinically [18-20]. Because venous blood is easily sampled from CPB circuit we explored the possible correlation between transcutaneous monitoring and intermittent venous blood sampling and concluded that positive correlation existed between two patterns of monitoring. And clinically, TcpO₂ and TcpCO₂ may be used conveniently and safely to prevent peripheral hypoperfusion during CPB.

5. ACKNOWLEDGEMENTS

This work was supported by the National Natural Science Foundation of China (81100165), Science and technology research and development program of Shannxi Province (2011K14-01-09), Science and technology Program of Xi’an city (HM1115, HM1118) and Xijing Hospital Science Promoting Plan (XJZT10M10).

REFERENCES

NOTES

^*Corresponding authors.