21 December 2024 : Clinical Research
Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models
Lan Wang
123BCDEF, Aiping Qin 2A*, Yihua Yang2C, Yufu Jin2B, Qiuyan Huang2B, Xinyue Huang2B, Yu Feng2B, Ting Liang4B
DOI: 10.12659/MSM.945472
Med Sci Monit 2024; 30:e945472
Table 4 The training and test datasets of women with SCH whose newborns entering the NICU (mean, std).
| Training dataset | Test dataset | ||
|---|---|---|---|
| n | 127 | 85 | |
| age | 32.2 (4.2) | 32.1 (4.6) | |
| Spouse age | 33.8 (4.9) | 33.5 (4.9) | |
| Previous pregnancy times | 2.0 (1.0) | 2.0 (0.9) | |
| Live birth times | 0.3 (0.5) | 0.2 (0.5) | |
| Endometrial injury history | No | 71 (55.9%) | 50 (58.8%) |
| Endocervical curettage | 0 (0.0%) | 0 (0.0%) | |
| Uterine curettage | 28 (22.0%) | 21 (24.7%) | |
| Intrauterine device | 5 (3.9%) | 2 (2.4%) | |
| Hysteroscope | 14 (11.0%) | 11 (12.9%) | |
| Cesarean section | 7 (5.5%) | 1 (1.2%) | |
| Myomectomy | 2 (1.6%) | 0 (0.0%) | |
| Number of spontaneous abortions | 0.2 (0.4) | 0.2 (0.4) | |
| BMI (kg/m) | 21.2 (2.8) | 21.1 (2.3) | |
| SBP (mmHg) | 113.4 (7.0) | 112.9 (6.9) | |
| DBP (mmHg) | 73.9 (6.1) | 72.6 (6.3) | |
| PT (s) | 10.8 (0.7) | 11.0 (0.7) | |
| APTT (s) | 33.2 (3.3) | 33.4 (3.2) | |
| TT (s) | 11.0 (0.8) | 11.3 (1.0) | |
| Fib (g/L) | 3.3 (0.7) | 3.4 (0.7) | |
| CA125 (U/mL) | 21.8 (12.8) | 22.5 (19.8) | |
| SCH diagnosis time (d) | 52.3 (127.4) | 29.2 (5.7) | |
| Gestational sac maximum diameter (mm) | 26.2 (9.9) | 27.9 (9.5) | |
| Hematoma maximum diameter (mm) | 22.7 (22.7) | 21.6 (9.3) | |
| gsmd_hmd_ratio | 1.5 (0.8) | 1.5 (0.8) | |
| Hematoma duration (d) | 63.9 (15.6) | 62.4 (18.5) | |
| The first positive HCG time (d) | 30.87 (1.92) | 31.22 (2.00) | |
| The first positive HCG level (IU/L) | 608.2 (682.6) | 721.9 (795.4) | |
| Gestational age (w) | 38.9 (1.5) | 38.7 (2.0) | |
| Newborns weight (g) | 3163.1 (580.1) | 3082.6 (488.6) | |
| Transferred into the NICU | No | 111 (87.4) | 74 (87.1) |
| Yes | 16 (12.6) | 11 (12.9) |