At the start of the perfusion (in non-working mode), the heart will normally resume a sinus rhythm when the temperature of the system and perfusate approaches normothermia. When entering working mode, as the LA pressures are approaching the desired values, ejection on the Ao pressure tracing should be observed and the LA flow (a reflection of cardiac output) should increase gradually. In a Yorkshire pig model (35–50 kg) and a starting heart weight of 180–220 grams, the initial LA flow will be ~2,000 mL/min, and this will typically approach ~2,750 mL/min during the first hour of perfusion in working mode. Figure 7 displays trends in Ao pressure (A) as well as LA and pulmonary arterial flow (B) over 12 h of perfusion.
During ESHP in the physiologic working mode, various metabolic assessments of the heart are also possible. Blood gas analysis/metabolic assessments performed on the perfusate samples obtained during ESHP provide extensive information on the metabolic status of the heart over time (Tables 1 and 2) and (Figure 8A, B)20. In addition to blood gas analysis, perfusate samples can be collected and assessed for different biomarkers such as brain natriuretic peptide and troponin-I; however, it should be noted that ESHP occurs in a closed system, with no exchange of perfusate solution. In the absence of the organs that naturally metabolize/clear these factors (e.g. kidneys), the accumulation of biomarkers over time in the perfusate solution is typically observed (Figure 9).
Functional assessment of the heart using this platform may include both load-dependent parameters [including myocardial performance (cardiac index, CI), LVSW, maximum and minimum rates of pressure change (dp/dt max and min)], and load-independent parameters (PRSW) (Table 3). Figure 10 demonstrates the evaluation of LV PRSW during a computer-controlled linear reduction in the LA pressure13. In our experience with ESHP of >200 porcine hearts and >10 human hearts, the use of an automated ESHP software program has been in association with the development of standard operating procedures resulting in minimal inter- and intra-operator variability in the functional parameters. The ESHP apparatus and software system used here have been designed to maintain the desired pressures and collect the functional parameters with minimal need for manual adjustments, and we have observed an interclass correlation coefficient (ICC) ≥0.9 for all of the assessed parameters (e.g. LVSW, and dP/dt max and min) that accounts for excellent inter-rater, intra-rater and test-retest reliability. In this system, the electrocardiographic monitoring of the heart during perfusion can also take place using two electrodes as described in the protocol, providing information on the heart rate and rhythm during perfusion (Figure 4).
The assessment of the heart during ESHP may be extended to different imaging modalities. Echocardiography during ESHP can provide additional information on myocardial function (e.g. ventricular ejection fraction) and anatomical parameters (Figure 11 and Figure 12). Moreover, an assessment of the coronary vasculature is possible with angiographic imaging21.
Performing a linear regression analysis identifies which parameters best correlated with myocardial performance (cardiac index: mL·min-1·g-1) during ESHP. We previously showed that despite the significant variation in the ability of the measured functional parameters to predict myocardial performance, overall, functional parameters exhibit a high correlation with cardiac output. The best functional predictors included systolic stroke work [coefficient of determination (R2) = 0.759], for systolic function, and minimum dP/dt, (R2 = 0.738) for diastolic function. Interestingly, metabolic parameters alone show a very limited ability to predict myocardial performance (oxygen consumption: R2 = 0.28; coronary vascular resistance: R2 = 0.20; lactate concentration: R2 = 0.02).13 Perfusion of the heart in a normothermic working mode offers the opportunity to obtain comprehensive metabolic and functional assessments of the heart during organ preservation. A clinical ESHP device with the ability to support the donor heart in working mode will provide the healthcare team with the opportunity to made decisions about organ viability based on objective data before transplantation.

Figure 1: The silicone support membrane for the heart. Support membrane pictured with integrated aortic cannula (A), left atrial cannula (B), and pulmonary artery cannula (C). Please click here to view a larger version of this figure.

Figure 2: The ESHP circuit. (A) Schematic figure of the ESHP circuit. (B) ESHP apparatus used in our setting. A = organ chamber and silicone support membrane, B = reservoir, C = arterial line filter, D = left atrial pump, E = aortic pump, F = membrane oxygenator and heat exchanger, G = gas mixer, H = tube flow sensor, I = pressure sensor, J = stopcock/luer lock. Please click here to view a larger version of this figure.

Figure 3: De-airing the pumps by positioning the pump outlet to a higher level. Please click here to view a larger version of this figure.

Figure 4: Screen shot from the running ESHP software program showing cardiac functional parameters. Please click here to view a larger version of this figure.

Figure 5: Screen shot from the initialized ESHP software program. Please click here to view a larger version of this figure.

Figure 6: The magnetic left atrial cannula secured to the posterior aspect of the left atrium. Please click here to view a larger version of this figure.

Figure 7: Monitoring pressures and flows during the perfusion. (A) Trends in the aortic pressure during 12 h of ESHP. (B) Trends in the left atrial and pulmonary artery flows during 12 h of ESHP Please click here to view a larger version of this figure.

Figure 8: Trends over time. (A) Myocardial oxygen consumption and (B) venous lactate concentration during 12 h of ESHP Please click here to view a larger version of this figure.

Figure 9: Trends over time in perfusate concentration of cardiac troponin-I during 12 h of ESHP. Please click here to view a larger version of this figure.

Figure 10: Assessment of preload recruitable stroke work a poorly-functioning heart (grey) versus a well-functioning heart (black). Please click here to view a larger version of this figure.

Figure 11: Representative two-dimensional echocardiographic images. Please click here to view a larger version of this figure.

Figure 12: Representative M-mode echocardiographic images. Please click here to view a larger version of this figure.
| | Aortic (arterial) parameters | PA (venous) parameters |
| | T1 | T5 | T11 | T1 | T5 | T11 |
| Blood Gas values | | | | | | | |
| pH | | 7.28 | 7.44 | 7.33 | 7.25 | 4.42 | 7.30 |
| pO2 (mmHg) | 123.00 | 149.00 | 141.00 | 44.00 | 55.40 | 57.80 |
| pCO2 (mmHg) | 38.00 | 33.90 | 42.50 | 43.00 | 37.10 | 46.10 |
| Oximetry Values | | | | | | |
| Hb (g/dL) | | 4.20 | 4.10 | 3.90 | 4.20 | 4.10 | 3.90 |
| sO2 (%) | | 100.00 | 100.00 | 100.00 | 64.00 | 95.50 | 92.00 |
| Electrolyte Values | | | | | | |
| K+ (mmol/L) | 4.20 | 4.60 | 5.20 | 4.20 | 4.60 | 5.20 |
| Na+ (mmol/L) | 142.00 | 144.00 | 149.00 | 142.00 | 144.00 | 149.00 |
| Ca2+ (mmol/L) | 1.02 | 1.20 | 1.40 | 1.02 | 1.20 | 1.40 |
| Cl- (mmol/L) | 107.00 | 109.00 | 114.00 | 107.00 | 109.00 | 114.00 |
| Osm (mmol/kg) | 291.30 | 292.50 | 302.40 | 291.90 | 292.90 | 302.40 |
| Metabolite values | | | | | | |
| Glucose (mmol/L) | 7.00 | 5.30 | 5.10 | 7.00 | 5.20 | 5.00 |
| Lactate (mmol/L) | 3.00 | 2.30 | 2.00 | 3.10 | 2.40 | 1.90 |
| Acid Base status | | | | | | |
| Hco3- (mmol/L) | 17.60 | 23.10 | 21.90 | 18.50 | 23.70 | 22.40 |
Table 1: A case of the blood gas analysis performed during the ex situ heart perfusion. Ca2+, calcium ion; Cl-, chloride ion; Hb, hemoglobin; HCO3-, bicarbonate ion; K+, potassium ion; Na+, sodium ion; Osm, osmolarity; paCO2, arterial partial pressure of carbon dioxide; paO2, arterial partial pressure of oxygen; sO2, oxygen saturation; T1, 1 h of ex situ perfusion (early perfusion); T5, 5 h of ex situ perfusion (mid-perfusion); T11, 11 h of ex situ perfusion (late perfusion)
| | Time | |
| Metabolic Parameters | T1 | T5 | T11 |
| MVO2 mL/min/100 g | 6.68 | 2.44 | 1.77 |
| Venous Lactate mmol/L | 3.1 | 2.4 | 1.9 |
| Venous - Arterial lactate difference mmol/L | 0.1 | 0.1 | -0.1 |
| Glucose Utilization g/h | 1.23 | 0.6 | 1.14 |
Table 2: Metabolic parameters calculated using the blood gas analysis data. MVO2, myocardial oxygen consumption; T1, 1 h of ex situ perfusion (early perfusion); T5, 5 h of ex situ perfusion (mid-perfusion); T11, 11 h of ex situ perfusion (late perfusion)
| Time |
| Functional Parameters | T1 | T5 | T11 |
| CI (mL/min/g) | 10.26 | 9.66 | 7.50 |
| SW (mmHg*mL) | 2253 | 1965 | 1323 |
| dP/dT max (mmHg/s) | 1781 | 1783 | 1482 |
| Sys p (mmHg) | 128 | 121 | 91 |
| ME (%) | 6.69 | 16.85 | 21.68 |
| PRSW | 399 | 348.38 | 248.63 |
| dP/dT min (mmHg/s) | -1444 | -2350 | -844 |
Table 3: A case of Left ventricular functional parameters assessed during ex situ heart perfusion. CI, cardiac index; dP/dT max, maximum rate of pressure change; dP/dT min, minimum rate of pressure change; ME, mechanical efficiency; PRSW, preload recruitable stroke work; SW, stroke work; Sys p, systolic pressure; T1, 1 h of ex situ perfusion (early perfusion); T5, 5 h of ex situ perfusion (mid-perfusion); T11, 11 h of ex situ perfusion (late perfusion).