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Table 3 Linear discriminant analysis for first two principal shape components (LDA2) and first 50 components (LDA50) compared with standard remodeling indices (Standard)

From: Left ventricular shape variation in asymptomatic populations: the multi-ethnic study of atherosclerosis

  

LDA2

LDA50

Standard

  

ED

ES

ED

ES

EF

EDVI

ESVI

LVMI

Smoking

-log(p)

2

21

46

46

11

0

5

4

 

Cohen’s d

0.13

0.43

0.67

0.66

0.30

0.02

0.20

0.18

Diabetes

-log(p)

4

9

49

48

0

1

1

14

 

Cohen’s d

0.18

0.30

0.77

0.75

0.02

0.08

0.07

0.40

Hypertension

-log(p)

12

20

113

101

5

3

0

30

 

Cohen’s d

0.33

0.42

1.09

1.03

0.20

0.16

0.03

0.53

Sex

-log(p)

19

182

>200

>200

62

0

28

18

 

Cohen’s d

0.41

1.44

2.34

2.23

0.78

0.02

0.51

0.40

White

-log(p)

9

29

93

96

2

8

1

8

 

Cohen’s d

0.29

0.53

1.01

1.02

0.12

0.27

0.08

0.27

Chinese

-log(p)

12

33

79

98

16

7

15

19

 

Cohen’s d

0.43

0.72

1.16

1.30

0.49

0.30

0.48

0.53

Black

-log(p)

2

13

81

67

5

0

3

6

 

Cohen’s d

0.15

0.41

1.12

1.01

0.25

0.02

0.18

0.27

Hispanic

-log(p)

28

44

93

79

0

26

9

23

 

Cohen’s d

0.59

0.75

1.13

1.03

0.02

0.57

0.32

0.53

  1. For ethnicity each test compares one group with the rest (e.g. white vs. non-white). Significance is quantified by –log(p) (e.g. for p = 0.001, −log(p) = 3). Effect size is measured by Cohen’s d, which can be interpreted as the mean distance between two groups in standard deviations (e.g. males and females were separated by 2.34 standard deviations in the LDA50 ED analysis). Bold-faced numbers highlight the highest separation achieved by PCA vs. standard remodeling indices.
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Journal of Cardiovascular Magnetic Resonance

ISSN: 1532-429X

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