Table 2 Regression coefficients for linear regression models of objectively quantified, normalized DWMA volume versus visually-classified DWMA as predictors of Bayley-III Motor composite score in very preterm infants.

From: Novel diffuse white matter abnormality biomarker at term-equivalent age enhances prediction of long-term motor development in very preterm children

Predictors

Univariate Relationship Coefficients (95% CI)

P

Multivariable Model

Coefficients (95% CI)

P

 

Adjusted R2: 25.8%

 

Adjusted R2: 41.1%

 

DWMA volume*

−16.04 (−22.14, −9.95)

 < 0.001

−12.59 (−18.70, −6.48)

0.001

Male sex

  

1.88 (−2.45, 6.22)

0.390

Gestational age

  

1.28 (0.23, 2.33)

0.017

Global brain abnormality score

  

−0.89 (−1.94, 0.16)

0.097

Center/NICU

  

1.23 (−0.90, 3.36)

0.255

Postmenstrual age at MRI

  

−3.58 (−7.54, 0.38)

0.076

 

Adjusted R2: 0.6%

 

Adjusted R2: 27.0%

 

Visually-classified DWMA

2.34 (−1.52, 6.22)

0.232

0.70 (−2.92, 4.32)

0.702

Male sex

  

0.51 (−4.25, 5.29)

0.831

Gestational age

  

1.57 (0.41, 2.72)

0.009

Global brain abnormality score

  

−1.56 (−2.68, −0.44)

0.007

Center/NICU

  

0.97 (−1.54, 3.48)

0.445

Postmenstrual age at MRI

  

−2.06 (−6.51, 2.39)

0.359

 

Adjusted R2: 20.9%

 

Adjusted R2: 27.9%

 

Global brain abnormality score

−2.34 (−3.36, −1.33)

 < 0.001

−1.55 (−2.67, -0.44)

0.007

Male sex

  

0.49 (−4.25, 5.24)

0.836

Gestational age

  

1.58 (0.44, 2.73)

0.008

Center/NICU

  

1.13 (−1.23, 3.48)

0.343

Postmenstrual age at MRI

  

−2.24 (−6.56, 2.09)

0.306

  1. Statistically significant results are given in italics (P < 0.05).
  2. *Regression coefficient shown for a 10% increase in normalized DWMA volume.