Table 2.

Relationship between body size and valvar and vascular dimensions and areas

AVAAoRtSTJTrAoAoIsLSCALCAMV4CMV2CTV4CTV2C
Power function (y = axb), zero intercept, vs. height
    Exponent (b)0.8090.8240.8340.8660.7290.8070.6950.7700.7750.7480.756
    Constant (a)0.0310.0370.0300.0230.0360.0130.0220.0520.0470.0600.056
    R value0.9410.9280.9340.9180.8550.8140.7810.8800.8860.8910.892
    Resid MS0.0200.0420.0300.0280.0310.0110.0110.0870.0630.0720.073
Power function (y = axb), zero intercept, vs. weight
    Exponent (b)0.3480.3510.3560.3660.3250.3820.3240.3270.3280.3270.339
    Constant (a)0.4750.6170.5130.4390.4130.1810.2140.7110.6540.7480.727
    R value0.9460.9260.9330.9200.8750.8500.8060.8900.8870.8960.896
    Resid MS0.0190.0440.0310.0270.0290.0090.0100.0810.0630.0680.071
Power function (y = axb), zero intercept, vs. BSAH
    Exponent (b)0.4940.5000.5070.5020.4590.5280.4550.4720.4740.4610.468
    Constant (a)1.5262.0011.6931.5011.2270.6480.6322.1321.9662.2362.188
    R value0.9480.9300.9360.9250.8780.8550.8100.8940.8900.8990.899
    Resid MS0.0170.0400.0290.0250.0270.0080.0080.0790.0610.0660.069
Linear function (y = ax + b), vs. (BSAH)0.5
    Slope (a)1.5102.0031.7231.5331.1340.6740.5842.0021.8442.0752.044
    Intercept (b)0.015−0.002−0.029−0.0320.089−0.0250.0470.1250.1170.1550.139
    R value0.9480.9290.9370.9240.8760.8530.8090.8900.8910.8970.898
    Resid MS0.0170.0410.0290.0250.0280.0080.0090.0810.0620.0670.069
    Intercept P0.6020.9610.5370.4780.1550.5780.3760.0680.0680.0470.088
Linear function with zero intercept (y = ax), vs. (BSAH)0.5
    Slope (a)1.5252.0011.6931.4971.2310.6450.6342.1311.9652.2522.191
    R value0.9480.9290.9370.9240.8710.8500.8050.8880.8890.8960.896
    Resid MS0.0170.0410.0290.0250.0280.0090.0100.0820.0620.0680.070
Linear regression of y/(BSAH)0.5 vs. BSAH
    R value0.0310.0080.0660.0210.1750.0550.1100.1550.1580.1710.173
    P value0.6250.9100.4080.7990.0400.6540.4120.0300.0290.0560.052
    Variance P0.2200.6420.5440.1850.5020.1410.2680.0040.4540.0030.678
PVAMPARPALPALUPVLLPVRUPVRLPVAVGMINMAX
Power function (y = axb), zero intercept, vs. height
    Exponent (b)0.8290.7830.7950.7530.9110.6700.9120.7900.7920.6700.912
    Constant (a)0.0310.0380.0230.0270.0090.0270.0100.017
    R value0.9270.9050.8960.8800.7970.7550.8640.8660.8740.7550.941
    Resid MS0.0240.0340.0170.0180.0250.0160.0170.016
Power function (y = axb), zero intercept, vs. weight
    Exponent (b)0.3760.3490.3400.3220.4100.3020.4180.3610.3500.3020.418
    Constant (a)0.4920.5240.3400.3470.1950.2550.1970.233
    R value0.9200.8990.8910.8690.8040.7640.8760.8680.8800.7640.946
    Resid MS0.0270.0360.0180.0200.0240.0160.0160.012
Power function (y = axb), zero intercept, vs. BSAH
    Exponent (b)0.5200.4900.4830.4880.5770.4240.5840.5050.4950.4240.584
    Constant (a)1.7321.6881.0641.0240.5770.7020.7970.781
    R value0.9300.9090.8990.8950.8090.7690.8800.8750.8850.7690.948
    Resid MS0.0230.0330.0160.0170.0230.0150.0150.011
Linear function (y = ax + b), vs. (BSAH)0.5
    Slope (a)1.7991.6530.9581.0410.8730.6150.9080.792
    Intercept (b)−0.0670.0330.0650.023−0.0980.084−0.108−0.011
    R value0.9290.9080.8970.8960.8060.7640.8780.8720.8890.7640.948
    Resid MS0.0240.0330.0170.0170.0240.0160.0150.012
    Intercept P0.1790.5460.4890.1780.0530.0360.0300.803
Linear function with zero intercept (y = ax), vs. (BSAH)0.5
    Slope (a)1.7171.6911.0661.0280.7640.7100.7890.780
    R value0.9260.9060.8960.8810.8000.7540.8680.8710.8810.7540.948
    Resid MS0.0240.0340.0170.0180.0240.0170.0160.012
Linear regression of y/(BSAH)0.5 vs. BSAH
    R value0.1050.0600.0290.1160.1960.1740.2490.0350.1010.0080.249
    P value0.2170.4680.6970.1370.0290.0510.0250.755
    Variance P0.8370.6870.4450.2780.1600.1060.1030.341
  • AVG, average value for parameter for all variables; Intercept P, significance of the difference of the intercept from zero; MAX, maximum value for parameter for all variables; MIN, minimum value for parameter for all variables; P value, significance of the correlation between each indexed variable and BSAH; R value, correlation coefficient; Resid MS, regression residual mean square; S(%), mean percentage error of the estimate; Variance P, significance of the presence of heteroscedasticity in the regression.