Table 2. Influence of temperature and blood flow on MFPF PO2 measurements: Linear regression model.
Non-standardized coefficients | 95.0% CI | ||||
Independent variable | Regression coefficient | Standard error | P-value | lower limit | upper limit |
Temperature (base 20 °C) | |||||
Constant | −2.335 | 10.483 | 0.825 | −23.744 | 19.074 |
PO2-magnitude [(MFPF + CTE)/2] | 0.062 | 0.027 | 0.031 | 0.006 | 0.118 |
30°C | 12.854 | 11.466 | 0.271 | −10.563 | 36.271 |
40°C | 19.635 | 11.392 | 0.095 | −3.629 | 42.9 |
Blood flow (base 0.8 L min−1) | |||||
Constant | −4.707 | 2.401 | 0.058 | −9.586 | 0.171 |
PO2-magnitude [(MFPF + CTE)/2] | 0.045 | 0.004 | <0.001 | 0.037 | 0.054 |
1.6 L min−1 | −4.461 | 2.441 | 0.076 | −9.422 | 0.5 |
2.4 L min−1 | −2.822 | 2.262 | 0.221 | −7.42 | 1.776 |
3.2 L min−1 | −2.093 | 2.328 | 0.375 | −6.825 | 2.638 |
4.0 L min−1 | −5.188 | 2.171 | 0.023 | −9.601 | −0.776 |
Linear regression model: magnitude of PO2 measurements, temperature and blood flow as independent variables, differences of PO2 measurements as dependent variable. PO2 = oxygen partial pressure; MFPF = Multi Frequency Phase Fluorimetry; CTE = Clark-type electrode; CI = confidence interval.