Sex
Frequency Percent Valid Percent
Cumulative Percent
Valid 1 46 35.9 46.0 46.0
2 54 42.2 54.0 100.0
Total 100 78.1 100.0
Missing System 28 21.9
Total 128 100.0
Ethic group
Frequency Percent Valid Percent
Cumulative Percent
Valid 1 85 66.4 85.0 85.0
2 15 11.7 15.0 100.0
Total 100 78.1 100.0
Missing System 28 21.9
Total 128 100.0
Descriptives
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Age 100 2 16 9.29 4.115
PCV (%) 100 16.1 36.2 23.708 4.4329
TWBC count (x109/L) 100 5.3 29.5 13.802 4.5847
ANC (x109/L) 100 2.4 17.8 7.512 3.2375
PLT (x109/L) 100 111 773 375.37 153.453
Retic count (%) 100 2.1 18.5 7.266 3.7852
HbF (%) 100 1.0 24.3 7.088 4.7192
LDH (U/L) 100 378 4679 1445.60 1070.799
Total bilirubin (?mol/L) 100 11.97 199.00 84.6742 43.36042
Direct bilirubin (?mol/L) 100 2.39 65.60 15.3634 9.21166
Rt MCA 98 73 212 131.27 27.398
Lt MCA 98 74.7 212.0 128.899 27.2139
Rt ACA 98 65 158 96.78 19.885
Lt ACA 98 67.8 153.0 100.480 18.0770
Rt PCA 98 58.1 170.0 97.319 21.1457
Lt PCA 98 56.6 148.3 92.339 18.3955
Rt tICA 98 57.6 123.0 90.984 14.4482
Lt tICA 98 50.1 130.0 84.411 15.8016
Valid N (listwise) 98
Frequency Table
Rt MCA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1 89 69.5 90.8 90.8
2 6 4.7 6.1 96.9
3 3 2.3 3.1 100.0
Total 98 76.6 100.0
Missing System 30 23.4
Total 128 100.0
Lt MCA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 90 70.3 91.8 91.8
2.0 7 5.5 7.1 99.0
3.0 1 .8 1.0 100.0
Total 98 76.6 100.0
Missing System 30 23.4
Total 128 100.0
Rt ACA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1 98 76.6 100.0 100.0
Missing System 30 23.4
Total 128 100.0
Lt ACA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 98 76.6 100.0 100.0
Missing System 30 23.4
Total 128 100.0
Rt PCA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 97 75.8 99.0 99.0
2.0 1 .8 1.0 100.0
Total 98 76.6 100.0
Missing System 30 23.4
Total 128 100.0
Lt PCA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 98 76.6 100.0 100.0
Missing System 30 23.4
Total 128 100.0
Rt tICA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 98 76.6 100.0 100.0
Missing System 30 23.4
Total 128 100.0
Lt tICA
Frequency Percent Valid Percent
Cumulative Percent
Valid 1.0 98 76.6 100.0 100.0
Missing System 30 23.4
Total 128 100.0
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .224 27.689 1 96 .000 200.229 -2.906
The independent variable is PCV (%).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .128 14.085 1 96 .000 180.682 -2.182
The independent variable is PCV (%).
Model Summary and Parameter Estimates Dependent Variable: Rt ACA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .079 8.203 1 96 .005 126.463 -1.251
The independent variable is PCV (%).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Lt ACA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .096 10.186 1 96 .002 130.263 -1.255
The independent variable is PCV (%).
* Curve Estimation.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Rt PCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .002 .158 1 96 .692 101.872 -.192
The independent variable is PCV (%).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Lt PCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .011 1.054 1 96 .307 102.535 -.430
The independent variable is PCV (%).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Rt tICA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .000 .033 1 96 .856 92.407 -.060
The independent variable is PCV (%).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable: Lt tICA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .044 4.442 1 96 .038 102.089 -.745
The independent variable is PCV (%).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH ANCx109L /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .277 36.713 1 96 .000 97.882 4.439
The independent variable is ANC (x109/L).
Model Summary and Parameter Estimates Dependent Variable:Lt ACA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .032 3.181 1 96 .078 92.979 .997
The independent variable is ANC (x109/L).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .152 17.164 1 96 .000 104.342 3.265
The independent variable is ANC (x109/L).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .195 23.306 1 96 .000 101.978 .078
The independent variable is PLT (x109/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH PLTx109L /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .082 8.522 1 96 .004 110.101 .050
The independent variable is PLT (x109/L).
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .137 15.244 1 96 .000 111.975 2.655
The independent variable is Retic count (%).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH Reticcount /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .064 6.526 1 96 .012 115.836 1.797
The independent variable is Retic count (%).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH HbF /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .529 107.694 1 96 .000 161.164 -4.189
The independent variable is HbF (%).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH HbF /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .209 25.296 1 96 .000 147.547 -2.613
The independent variable is HbF (%).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH LDHUL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .513 100.976 1 96 .000 104.694 .018
The independent variable is LDH (U/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH LDHUL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .359 53.711 1 96 .000 106.814 .015
The independent variable is LDH (U/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH TotalbilirubinmolL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .176 20.522 1 96 .000 108.878 .267
The independent variable is Total bilirubin (?mol/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH TotalbilirubinmolL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .120 13.064 1 96 .000 110.555 .219
The independent variable is Total bilirubin (?mol/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH DirectbilirubinmolL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .094 9.947 1 96 .002 117.406 .911
The independent variable is Direct bilirubin (?mol/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH DirectbilirubinmolL /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .074 7.635 1 96 .007 116.699 .801
The independent variable is Direct bilirubin (?mol/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH Age /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .004 .339 1 96 .562 134.949 -.402
The independent variable is Age.
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH Age /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .020 1.942 1 96 .167 120.221 .948
The independent variable is Age.
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH Sex /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .007 .668 1 96 .416 124.324 4.539
The independent variable is Sex.
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH Sex /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .018 1.808 1 96 .182 117.608 7.377
The independent variable is Sex.
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=RtMCA WITH TWBCcountx109L /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Rt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .112 12.066 1 96 .001 103.796 1.986
The independent variable is TWBC count (x109/L).
* Curve Estimation. TSET NEWVAR=NONE. CURVEFIT /VARIABLES=LtMCA WITH TWBCcountx109L /CONSTANT /MODEL=LINEAR /PLOT FIT.
Curve Fit
Model Summary and Parameter Estimates Dependent Variable:Lt MCA
Equation
Model Summary Parameter Estimates
R Square F df1 df2 Sig. Constant b1
Linear .071 7.353 1 96 .008 107.114 1.575
The independent variable is TWBC count (x109/L).