Skip to main content
. 2022 Mar 12;64(1):e15072. doi: 10.1111/ped.15072

Table 3.

The linear regression formulae and coefficient correlation of R 2 (free carnitine and acylcarnitines)

1year (n = 198)

2 years

(n = 198)

4 years

(n = 78)

1month 3months 6months 1year

C0

R 2 = 0.86

y = 1.07x + 1.43

R 2 = 0.82

y = 1.15x + 3.10

R 2 = 0.75

y = 1.22x + 5.68

R 2 = 0.76

y = 1.35x + 6.56

R 2 = 0.71

y = 1.49x + 7.29

R 2 = 0.80

y = 2.29x + 5.44

C2

R 2 = 0.85

y = 0.85x + 0.23

R 2 = 0.79

y = 0.72x + 0.13

R 2 = 0.63

y = 0.51x + 0.63

R 2 = 0.56

y = 0.29x − 0.13

R 2 = 0.40

y = 0.15x − 0.27

R 2 = 0.06

y = 0.009x + 0.05

C3

R 2 = 0.89

y = 0.92x + 0.05

R 2 = 0.88

y = 0.89x + 0.03

R 2 = 0.80

y = 0.75x + 0.07

R 2 = 0.79

y = 0.56x − 0.01

R 2 = 0.66

y = 0.34x + 0.00

R 2 = 0.08

y = 0.06x + 0.06

C5

R 2 = 0.85

y = 1.02x + 0.01

R 2 = 0.83

y = 1.04x + 0.02

R 2 = 0.72

y = 1.09x + 0.02

R 2 = 0.77

y = 0.92x + 0.02

R 2 = 0.78

y = 1.02x + 0.00

R 2 = 0.45

y = 0.68x + 0.01

C5:1

R 2 = 0.01

y = 0.1x + 0.01

R 2 = 0.00

y = 0.01x + 0.01

R 2 = 0.00

y = 0.02x + 0.01

R 2 = 0.01

y = 0.09x + 0.01

R 2 = 5E‐05

y = −0.008x + 0.01

R 2 = 0.01

y = 0.13x + 0.01

C5OH

R 2 = 0.79

y = 0.87x + 0.03

R 2 = 0.80

y = 0.84x + 0.03

R 2 = 0.60

y = 0.47x + 0.04

R 2 = 0.58

y = 0.48x + 0.04

R 2 = 0.42

y = 0.41x + 0.03

R 2 = 0.53

y = 0.40x + 0.03

C5DC

R 2 = 0.47

y = 0.71 x + 0.03

R 2 = 0.44

y = 0.75 x + 0.04

R 2 = 0.19

y = 0.46 x + 0.05

R 2 = 0.20

y = 0.42 x + 0.03

R 2 = 0.13

y = 0.35 x + 0.02

R 2 = 9E‐05

y = 0.003 x + 0.03

C8

R 2 = 0.44

y = 0.76x + 0.02

R 2 = 0.53

y = 0.83x + 0.01

R 2 = 0.49

y = 0.72x + 0.02

R 2 = 0.30

y = 0.67x + 0.04

R 2 = 0.23

y = 0.63x + 0.04

R 2 = 0.38

y = 0.55x + 0.03

C10

R 2 = 0.73

y = 0.98x + 0.00

R 2 = 0.70

y = 0.99x + 0.01

R 2 = 0.68

y = 0.94x + 0.01

R 2 = 0.64

y = 0.88x + 0.01

R² = 0.59

y = 0.86x + 0.02

R 2 = 0.67

y = 0.72x + 0.001

C12

R 2 = 0.46

y = 0.73x + 0.03

R 2 = 0.52

y = 0.78x + 0.03

R 2 = 0.50

y = 0.74x + 0.03

R 2 = 0.48

y = 0.62x + 0.03

R 2 = 0.41

y = 0.62x + 0.03

R 2 = 0.77

y = 0.80x + 0.01

C14

R 2 = 0.81

y = 0.92x + 0.03

R 2 = 0.84

y = 1.03x + 0.03

R 2 = 0.60

y = 0.77x + 0.07

R 2 = 0.73

y = 0.75x + 0.05

R 2 = 0.70

y = 0.9x + 0.04

R 2 = 0.69

y = 1.01x + 0.02

C14:1

R 2 = 0.55

y = 0.86x + 0.02

R 2 = 0.54

y = 0.80x + 0.02

R 2 = 0.43

y = 0.83x + 0.05

R 2 = 0.25

y = 0.74x + 0.05

R 2 = 0.37

y = 0.93x + 0.06

R 2 = 0.55

y = 0.68x + 0.03

C16

R 2 = 0.85

y = 1.01x + 0.10

R 2 = 0.87

y = 1.07x + 0.17

R 2 = 0.81

y = 1.06x + 0.17

R 2 = 0.83

y = 0.97x + 0.20

R 2 = 0.81

y = 0.94x + 0.14

R 2 = 0.70

y = 0.91x + 0.37

C16OH

R 2 = 0.31

y = 0.64x + 0.01

R 2 = 0.18

y = 0.56x + 0.01

R 2 = 0.20

y = 0.60x + 0.01

R 2 = 0.19

y = 0.54x + 0.01

R 2 = 0.15

y = 0.43x + 0.00

R 2 = 0.47

y = 0.98x + 0.005

C18

R 2 = 0.83

y = 0.98x + 0.03

R 2 = 0.83

y = 1.00x + 0.06

R 2 = 0.82

y = 1.02x + 0.03

R 2 = 0.83

y = 0.91x + 0.06

R 2 = 0.77

y = 0.79x + 0.07

R 2 = 0.63

y = 0.86x + 0.16

C18:1

R 2 = 0.75

y = 0.90x + 0.12

R 2 = 0.73

y = 0.88x + 0.20

R 2 = 0.75

y = 1.03x + 0.10

R 2 = 0.76

y = 1.05 x + 0.14

R 2 = 0.67

y = 0.85x + 0.17

R 2 = 0.62

y = 0.70x + 0.22

C18:1OH

R 2 = 0.24

y = 0.48x + 0.01

R 2 = 0.20

y = 0.44x + 0.01

R 2 = 0.21

y = 0.34x + 0.01

R 2 = 0.17

y = 0.36x + 0.01

R 2 = 0.09

y = 0.24x + 0.01

R 2 = 0.23

y = 0.85x + 0.01

C3/C2

R 2 = 0.97

y = 1.08x + 0.00

R 2 = 0.95

y = 1.22x + 0.00

R 2 = 0.92

y = 1.44x + 0.00

R 2 = 0.86

y = 2.04x − 0.01

R 2 = 0.69

y = 2.88x − 0.00

R 2 = 0.26

y = 7.48x + 0.19

C0/(C16+C18)

R 2 = 0.94

y = 1.05x + 0.32

R 2 = 0.92

y = 1.04x + 0.86

R 2 = 0.91

y = 1.19 x + 1.21

R 2 = 0.90

y = 1.34 x + 2.12

R 2 = 0.89

y = 1.54x + 2.71

R 2 = 0.78

y = 1.51 x + 5.44

(C16+C18:1)/C2

R 2 = 0.93

y = 1.17x + 0.01

R 2 = 0.87

y = 1.50x + 0.01

R 2 = 0.72

y = 2.07x + 0.1

R 2 = 0.47

y = 3.99x + 0.03

R 2 = 0.25

y = 9.35 x − 0.11

R 2 = 0.01

y = 78.04x + 14.75

C14:1/C2

R 2 = 0.59

y = 0.97x + 0.00

R 2 = 0.55

y = 1.22x + 0.00

R 2 = 0.36

y = 2.00x + 0.00

R 2 = 0.17

y = 4.18x + 0.01

R 2 = 0.19

y = 13.76x + 0.02

R 2 = 0.07

y = 196.72x − 0.01

C8/C10

R 2 = 0.11

y = 0.39x + 0.72

R 2 = 0.11

y = 0.33x + 0.75

R 2 = 0.15

y = 0.35x + 0.62

R 2 = 0.06

y = 0.45 + 0.88

R 2 = 0.05

y = 0.48 x + 0.78

R 2 = 0.04

y = 0.53 x + 0.73

C14/C3

R 2 = 0.92

y = 1.14x + 0.00

R 2 = 0.90

y = 1.26x + 0.01

R 2 = 0.87

y = 1.39x + 0.01

R 2 = 0.80

y = 1.88x + 0.00

R 2 = 0.62

y =3.48 − 0.00

R 2 = 0.01

y = −33.00x + 8.41

The shaded columns indicate the items maintaining a linear correlation with R² ≥ 0.5.