Table 1 General characteristics of the study population (n = 542).
From: Machine learning methods to predict attrition in a population-based cohort of very preterm infants
Characteristics | na (%) |
|---|---|
Sex | |
Female | 232 (42.8) |
Male | 310 (57.2) |
Birthweight (g) | |
Median (p25–p75) | 1172 (940–1436) |
Gestational age (weeks) | |
Median (p25–p75) | 29 (27–31) |
< 26 | 27 (5.0) |
26–27 | 118 (21.8) |
28–29 | 148 (27.3) |
30–31 | 249 (45.9) |
Small for gestational ageb | |
Yes (< 10th percentile) | 52 (9.7) |
No (≥ 10th percentile) | 485 (90.3) |
Missing | 5 (0.9) |
Type of pregnancy | |
Singleton | 372 (68.6) |
Multiple | 170 (31.4) |
Parity | |
0 | 342 (63.2) |
1 | 144 (26.6) |
≥ 2 | 55 (10.2) |
Missing | 1 (0.2) |
Caesarean | |
No | 156 (29.1) |
Yes | 381 (70.9) |
Missing | 5 (0.9) |
Maternal agec | |
Median (p25–p75) | 31 (27–35) |
< 25 | 85 (15.7) |
25–34 | 300 (55.4) |
≥ 35 | 157 (29.0) |
Native mother | |
No | 81 (15.1) |
Yes | 454 (84.9) |
Missing | 7 (1.3) |
Neighborhood socio-economic deprivation | |
Least deprived (q1–q4) | 447 (83.2) |
Most deprived (q5) | 90 (16.8) |
Missing | 5(0.9) |
Length of hospital stay (days) | |
Median (p25–p75) | 51(37–71) |
