Table 1 Demographic characteristics of the training dataset for patient with and without endometriosis.
From: Machine learning algorithms as new screening approach for patients with endometriosis
Patient with endometriosis N (%) = 1126 | Patient without endometriosis N (%) N = 608 | P < value | |
|---|---|---|---|
Demographics characteristics | |||
Age (mean ± SD) | 29 ± 8 | 28 ± 9 | < 0.001 |
BMI (body mass index) (mean ± SD) | 23.41 ± 4.88 | 23.10 ± 4.56 | 0.12 |
Mother/daughter history of endometriosis | |||
Yes | 21 (1.9%) | 4 (0.7%) | |
No | 1105 (98.1%) | 604 (99.3%) | 0.056 |
Endometriosis phenotype | |||
Dysmenorrhea/VAS of Dysmenorrhea (mean ± SD) | 6 ± 3.4 | 5 ± 3.2 | < 0.001 |
Maximum length of periods (mean ± SD) | 6 ± 4 | 5 ± 3 | < 0.001 |
Abdominal pain outside menstruation | |||
Yes | 721 (64.1%) | 179 (29.4%) | < 0.001 |
No | 405 (35.9%) | 429 (70.6%) | |
Pain suggesting sciatica | |||
Yes | 427 (37.9%) | 61 (10.1%) | |
No | 699 (62.1%) | 547 (89.9%) | < 0.001 |
Pain on sexual intercourse | 3.8 ± 3.5 | 2.3 ± 3.0 | < 0.001 |
Lower back pain outside menstruation | |||
Yes | 693 (61.5%) | 200 (32.9%) | |
No | 433 (38.5%) | 408 (67.1%) | < 0.001 |
Painful defecation (mean ± SD) | 3.2 ± 3.3 | 1.5 ± 2.4 | < 0.001 |
Alternating diarrhea/constipation during menstruation | |||
Yes | 718 (63.7%) | 234 (38.5%) | |
No | 408 (36.3%) | 374 (61.5%) | < 0.001 |
Urinary pain during menstruation (mean ± SD) | 1.4 ± 2.5 | 0.5 ± 1.4 | < 0.001 |
Blood in the stools during menstruation | |||
Yes | 179 (15.9%) | 45 (7.4%) | < 0.001 |
No | 947 (84.1%) | 563 (92.6%) | |
Blood in urine during menstruation | |||
Yes | 150 (13.3%) | 61 (10.1%) | |
No | 976 (86.7%) | 547 (89.9%) | 0.046 |
Quality of life | |||
Absenteeism duration in the last 6 months (mean ± SD) | 7 ± 22 | 3 ± 12 | < 0.001 |
Number of non-hormonal pain treatments used (mean ± SD) | 1 ± 1 | 0 ± 1 | < 0.001 |
