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Table 6 Models predicting change in LGE severity

From: Non-contrast cardiovascular magnetic resonance detection of myocardial fibrosis in Duchenne muscular dystrophy

Slice

Factor

Odds ratio and 95% CI

p value

Change in global severity score (feature tracking)

 Base (n = 27)

Native T1

1.2 [ 0.3, 5.0]

0.78

εcc

2.2 [0.6, 7.7]

0.21

 

εls

1.8 [0.8, 3.9]

0.15

LGE at CMR1

0.6 [0.2, 1.9]

0.37

 Mid (n = 30)

Native T1

1.2 [0.5, 2.7]

0.64

εcc

0.3 [0.1, 1.1]

0.07

 

εls

3.0 [1.3, 6.7]

0.008

LGE at CMR1

0.3 [0.1, 1.5]

0.13

 Global (n = 33)

Native T1

1.4 [0.6, 3.3]

0.44

εcc

0.5 [0.2, 1.2]

0.14

 

εls

3.8 [ 1.0, 14.2]

0.048

LGE at CMR1

0.5 [0.1, 1.7]

0.25

Change in global severity score (myocardial tagging)

 Base (n = 42)

Native T1

1.3 [ 0.5, 3.2]

0.59

εcc-tag

0.8 [0.4, 1.8]

0.56

 

LGE at CMR1

0.4 [0.1, 1.3]

0.13

 Mid (n = 44)

Native T1

1.5 [0.9, 2.4]

0.11

εcc-tag

0.6 [0.3, 1.2]

0.15

 

LGE at CMR1

0.5 [0.2, 1.6]

0.22

 Global (n = 38)

Native T1

1.5 [0.7, 2.9]

0.27

εcc-tag

0.5 [0.2, 1.2]

0.12

 

LGE at CMR1

0.3 [0.1, 1.2]

0.10

Change in FWHM (feature tracking)

 Base (n = 27)

Native T1

1.2 [0.3, 4.8]

0.83

εcc

1.5 [0.4, 6.8]

0.57

 

εls

1.9 [0.7, 4.9]

0.19

LGE at CMR1

0.6 [0.1, 3.7]

0.57

 Mid (n = 30)

Native T1

0.8 [0.4, 1.6]

0.55

εcc

0.4 [0.1, 1.9]

0.25

 

εls

1.5 [0.5, 4.6]

0.48

LGE at CMR1

0.1 [0, 1.5]

0.10

 Global (n = 33)

Native T1

0.9 [0.4, 2.2]

0.84

εcc

0.7 [0.2, 2.7]

0.61

 

εls

2.0 [0.9, 4.5]

0.10

LGE at CMR1

0.1 [0, 0.8]

0.033

Change in FWHM (myocardial tagging)

 Base (n = 36)

Native T1

1.7 [ 0.7, 4.1]

0.26

εcc-tag

0.6 [0.5, 0.9]

0.003

 

LGE at CMR1

0.3 [0.1, 1.6]

0.16

 Mid (n = 40)

Native T1

1.6 [0.7, 3.8]

0.32

εcc-tag

0.4 [0.1, 0.9]

0.036

 

LGE at CMR1

0.2 [0.1, 1.1]

0.058

 Global (n = 34)

Native T1

1.8 [0.7, 4.6]

0.21

εcc-tag

0.2 [0.1, 0.7]

0.01

LGE at CMR1

0.2 [0.03, 1.1]

0.075

  1. Bold italic values are significant for p ≤ 0.05