Table 1 Patient characteristics.
From: FASDetect as a machine learning-based screening app for FASD in youth with ADHD
Variable | All patients | FASD patients | ADHD patients | |||
|---|---|---|---|---|---|---|
Mean | SD | Mean | SD | Mean | SD | |
Age at first presentation | 9.15 | 4.03 | 9.60 | 4.53 | 8.43 | 2.94 |
Gestational age | 38.57 | 2.39 | 38.58 | 2.21 | 38.56 | 2.68 |
z-score of birth length | −0.58 | 1.16 | −0.87 | 1.13 | −0.08 | 1.03 |
z-score of birth weight | −0.48 | 1.19 | −0.80 | 1.09 | 0.05 | 1.17 |
z-score of head circumference at birth | −0.45 | 1.11 | −0.70 | 1.11 | 0.07 | 0.93 |
z-score of length at first presentation | −0.27 | 1.17 | −0.50 | 1.12 | 0.27 | 1.12 |
z-score of weight at first presentation | −0.02 | 1.21 | −1.20 | 1.15 | 0.38 | 1.24 |
z-score of head circumference at first presentation | −1.06 | 1.55 | −1.37 | 1.37 | 0.23 | 1.58 |
Number of mothers pregnancies | 2.78 | 2.14 | 2.84 | 2.12 | 2.53 | 2.22 |
Number of mothers births | 2.09 | 1.39 | 2.21 | 1.48 | 1.91 | 1.23 |