Bland-Altman analysis with saline as priming fluid.

<p>Bland-Altman analysis of MMIMS-MIGET based shunt fraction–with saline as priming fluid (MM-SNS) on predefined in vitro lung model shunt (IVLM-SNS). Bias ± precision (2 SD) was -0.04 00B1 0.12 with 95% limits of agreement (dashed) of -0.154 and 0.082.</p

Schematic of in vitro lung model setup.

<p>Schematic of in vitro lung model setup.</p

Linear regression analysis with saline as priming fluid.

<p>Linear regression analysis for MMIMS-MIGET shunt fraction–with saline as priming fluid (MM-SNS) on predefined in vitro lung model shunt (IVLM-SNS): MM-SNS = 0.91*IVLM-SNS +0.005 (r² = 0.99, P< 0.0001). Duplicate data from 0 to 0.8 model shunt fractions included. Solid line = linear regression; Dashed line = line of identity.</p

Linear regression analysis with blood as priming fluid.

<p>Linear regression analysis for MMIMS-MIGET based shunt fraction–with blood as priming fluid (MM-SRBC) on predefined in vitro lung model shunt (IVLM-SRBC): MM-SRBC = 0.87*IVLM-SRBC-0.02 (r2 = 0.96, P< 0.0001). Duplicate data from 0 to 0.8 model shunt fractions included. Solid line = linear regression; Dashed line = line of identity.</p

Artificial Circulatory Setup.

<p>Artificial circulatory setup with two independent circuits filled with human packed red blood cells (haematocrit of 30%). A switching valve between the circuits enabled a step-change between highly oxygenated (circuit 1: purged with pure oxygen) and oxygen free blood (circuit 2: purged with nitrogen). Black arrows represent direction of blood flow. Adapting the settings of the rollerpumps and the heating-cooling device (heat exchanger) allowed blood-flow and temperature to be controlled. Via the O₂/N₂ blenders, oxygen content could be adapted at fixed sweep gas flow over the oxygenators. Measurement chamber contained 1.) ports for insertion of MFPF probes (Foxy-AL 300); 2.) a temperature probe and 3.) a sampling port for Clark-typed based (CTE) P_O2 analysis (ABL 700).</p

Influence of temperature and blood flow on MFPF P_O2 measurements: Linear regression model.

<p>Linear regression model: magnitude of P_O2 measurements, temperature and blood flow as independent variables, differences of P_O2 measurements as dependent variable. P_O2  =  oxygen partial pressure; MFPF  =  Multi Frequency Phase Fluorimetry; CTE  =  Clark-type electrode; CI  =  confidence interval.</p

Multi Frequency Phase Fluorimetry P_O2 vs. Clark-type Electrode P_O2 (porcine blood <i>in vitro</i>, normobaric range).

<p>Panel A: Linear regression plot, the solid line displays the line of best fit, the dashed line shows the line of identity; Panel B: Bland-Altman plot showing the differences (CTE-MFPF) versus the means for absolute P_O2 values. The dashed line represents the bias, the solid lines the 1.96 standard deviation interval.</p

Multi Frequency Phase Fluorimetry/FOXY-AL300 Probe Response Time.

<p>Example of an MFPF step-down manoeuvre in artificial circulatory setup (human blood-phase). The graph displays the absolute MFPF P_O2 values over the time course. The arrow marks the time when the switching valve was changed between the oxygenated (750 mmHg) and non-oxygenated blood (0 mmHg) circuit.</p

Multi Frequency Phase Fluorimetry P_O2 vs. Clark-type Electrode P_O2 (human blood <i>ex vivo</i>, normobaric range).

<p>Panel A: Linear regression plot, the solid line displays the line of best fit, the dashed line shows the line of identity; Panel B: Bland-Altman plot showing the differences (CTE-MFPF) versus the means for absolute P_O2 values. The dashed line represents the bias, the solid lines the 1.96 standard deviation interval.</p