Copyright
©The Author(s) 2022.
World J Clin Oncol. Dec 24, 2022; 13(12): 967-979
Published online Dec 24, 2022. doi: 10.5306/wjco.v13.i12.967
Published online Dec 24, 2022. doi: 10.5306/wjco.v13.i12.967
Variables | Training set | Testing set | ||||||
Overall, n = 471 | Yes, n = 70 | No, n = 401 | P value | Overall, n = 203 | Yes, n = 26 | No, n = 177 | P value | |
Age [median (IQR)], yr | 64.00 (63.00, 66.00) | 69.00 (67.00, 71.00) | 64.00 (62.00, 65.00) | < 0.001 | 64.00 (62.00, 65.50) | 68.50 (65.25, 70.75) | 63.00 (62.00, 65.00) | < 0.001 |
BMI [median (IQR)], kg/ | 23.00 (22.00, 24.00) | 24.00 (23.00, 25.00) | 23.00 (22.00, 24.00) | < 0.001 | 23.00 (22.00, 24.00) | 25.00 (23.00, 26.00) | 23.00 (22.00, 24.00) | < 0.001 |
Catheter [median (IQR)], d | 8.00 (7.00, 10.00) | 13.00 (10.00, 14.00) | 8.00 (7.00, 9.00) | < 0.001 | 8.00 (7.00, 9.00) | 13.00 (11.00, 13.00) | 8.00 (6.00, 9.00) | < 0.001 |
Catheter intubation times | ||||||||
≥ 3 | 148 (31.4) | 49 (70.0) | 99 (24.7) | < 0.001 | 59 (29.1) | 23 (88.5) | 36 (20.3) | < 0.001 |
< 3 | 323 (68.6) | 21 (30.0) | 302 (75.3) | 144 (70.9) | 3 (11.5) | 141 (79.7) | ||
Operation time [median (IQR)], h | 3.60 (2.90, 4.40) | 3.80 (3.10, 4.50) | 3.60 (2.80, 4.30) | 0.061 | 3.70 (2.90, 4.60) | 3.85 (2.93, 4.60) | 3.70 (2.90, 4.50) | 0.373 |
Blood loss [median (IQR)], mL | 476.00 (434.50, 515.50) | 627.00 (592.75, 658.75) | 465.00 (429.00, 499.00) | < 0.001 | 470.00 (432.00, 504.00) | 646.00 (616.25, 670.00) | 461.00 (426.00, 494.00) | < 0.001 |
Hospitalization [median (IQR)], d | 11.00 (9.00, 13.00) | 15.00 (14.00, 17.00) | 10.00 (8.00, 12.00) | < 0.001 | 10.00 (8.00, 12.00) | 16.00 (15.00, 17.00) | 10.00 (8.00, 12.00) | < 0.001 |
Diabetes | ||||||||
Yes | 162 (34.4) | 57 (81.4) | 105 (26.2) | < 0.001 | 59 (29.1) | 22 (84.6) | 37 (20.9) | < 0.001 |
No | 309 (65.6) | 13 (18.6) | 296 (73.8) | 144 (70.9) | 4 (15.4) | 140 (79.1) | ||
Hypertension | ||||||||
Yes | 283 (60.1) | 45 (64.3) | 238 (59.4) | 0.519 | 132 (65.0) | 19 (73.1) | 113 (63.8) | 0.483 |
No | 188 (39.9) | 25 (35.7) | 163 (40.6) | 71 (35.0) | 7 (26.9) | 64 (36.2) | ||
Antibiotics | ||||||||
Yes | 295 (62.6) | 47 (67.1) | 248 (61.8) | 0.477 | 128 (63.1) | 16 (61.5) | 112 (63.3) | 1 |
No | 176 (37.4) | 23 (32.9) | 153 (38.2) | 75 (36.9) | 10 (38.5) | 65 (36.7) | ||
Hypoproteinaemia | ||||||||
Yes | 122 (25.9) | 53 (75.7) | 69 (17.2) | < 0.001 | 54 (26.6) | 22 (84.6) | 32 (18.1) | < 0.001 |
No | 349 (74.1) | 17 (24.3) | 332 (82.8) | 149 (73.4) | 4 (15.4) | 145 (81.9) | ||
NACT | ||||||||
Yes | 293 (62.2) | 18 (25.7) | 275 (68.6) | < 0.001 | 133 (65.5) | 12 (46.2) | 121 (68.4) | 0.045 |
No | 178 (37.8) | 52 (74.3) | 126 (31.4) | 70 (34.5) | 14 (53.8) | 56 (31.6) |
- Citation: Ai J, Hu Y, Zhou FF, Liao YX, Yang T. Machine learning-assisted ensemble analysis for the prediction of urinary tract infection in elderly patients with ovarian cancer after cytoreductive surgery. World J Clin Oncol 2022; 13(12): 967-979
- URL: https://www.wjgnet.com/2218-4333/full/v13/i12/967.htm
- DOI: https://dx.doi.org/10.5306/wjco.v13.i12.967