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Table 1 Demographic characteristics of the study participants

From: Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

 

All Infants (n = 689)

Training Dataset (n = 552)

Validation Dataset (n = 137)

P-value *

Birth gestation in week (mean ± SD)

27.6 ± 2.1

27.6 ± 2.0

27.5 ± 2.1

0.832

Birth weight in gram (mean ± SD)

1,034 ± 334

1,033 ± 333

1,042 ± 352

0.814

Birth weight z-score (mean ± SD)

0.09 ± 0.99

0.07 ± 1.00

0.16 ± 0.97

0.888

Small for gestational age, n (%)

58 (8)

51 (9)

7 (5)

0.765

Female, n (%)

346 (50)

272 (49)

74 (54)

0.107

Maternal smoking, n (%)

64 (9)

52 (9)

12 (9)

0.771

Surfactant within 24 h of life, n (%)

348 (51)

272 (49)

76 (55)

0.216

Race/ethnicity, n (%)

   

0.161

 White

158 (23)

129 (23)

29 (21)

 Black

107 (16)

83 (15)

24 (18)

 Hispanic

363 (53)

291 (53)

72 (53)

 Asian

36 (5)

25 (5)

11 (8)

 Other

25 (4)

24 (4)

1 (1)

No BPD

352 (51)

282 (51)

70 (51)

0.335

BPD

337 (49)

270 (49)

67 (49)

0.120

 Grade 1

176 (26)

145 (26)

31 (23)

 Grade 2

133 (19)

102 (19)

31 (23)

 Grade 3 or Died

28 (4)

23 (4)

5 (3)

  1. *Comparison between the training and the testing datasets