Copyright
©The Author(s) 2024.
World J Gastrointest Surg. Mar 27, 2024; 16(3): 717-730
Published online Mar 27, 2024. doi: 10.4240/wjgs.v16.i3.717
Published online Mar 27, 2024. doi: 10.4240/wjgs.v16.i3.717
Variable | Multivariate analysis | ||
OR | 95%CI | P value | |
Preoperative CDAI | |||
Remission to mild (< 220) | Reference | ||
Moderate to severe (≥ 220) | 10.084 | 1.011-100.626 | 0.490 |
Serum albumin (g/L) | 0.826 | 0.705-0.968 | 0.016a |
Surgical approach | |||
Laparoscopic | Reference | ||
Open | 14.161 | 0.830-241.572 | 0.067 |
Conversion | 7.000 | 1.188-41.244 | 0.032a |
Operative time (min) | 1.026 | 1.008-1.045 | 0.005a |
- Citation: Wang FT, Lin Y, Yuan XQ, Gao RY, Wu XC, Xu WW, Wu TQ, Xia K, Jiao YR, Yin L, Chen CQ. Predicting short-term major postoperative complications in intestinal resection for Crohn’s disease: A machine learning-based study. World J Gastrointest Surg 2024; 16(3): 717-730
- URL: https://www.wjgnet.com/1948-9366/full/v16/i3/717.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v16.i3.717