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©The Author(s) 2022.
World J Clin Cases. Apr 26, 2022; 10(12): 3729-3738
Published online Apr 26, 2022. doi: 10.12998/wjcc.v10.i12.3729
Published online Apr 26, 2022. doi: 10.12998/wjcc.v10.i12.3729
Table 1 Patient characteristics
| Variables | Training set | Test set | P value |
| Patient population, n | 473 | 473 | |
| Age (yr) | 41 (13-64) | 43 (15-65) | 0.115 |
| Male, n (%) | 274 (57.9) | 278 (58.8) | 0.258 |
| BMI (kg/m2) | 25.3(16.9-32.8) | 25.9 (16.7-35.5) | 0.079 |
| Systolic blood pressure | 119 (87-165) | 121(85-177) | 0.658 |
| Smoking, n (%) | 142 (30.0) | 145 (30.7) | 0.583 |
| Alcohol, n (%) | 163 (34.5) | 172 (36.4) | 0.158 |
| Diabetes, n (%) | 34 (7.2) | 26 (5.5) | 0.098 |
| Insulin, n (%) | 8 (1.7) | 4 (0.8) | 0.059 |
| Hypertension, n (%) | 73 (15.4) | 80 (16.9) | 0.113 |
| Preoperative chemotherapy, n (%) | 117 (24.7) | 122 (25.8) | 0.358 |
| Preoperative radiotherapy, n (%) | 100 (21.1) | 82 (17.3) | 0.663 |
| Obesity, n (%) | 112 (23.7) | 109 (23.0) | 0.487 |
| WBC (× 103/µL) | 7.5 (3.2-14.3) | 7.2 (3.1-15.9) | 0.226 |
| Hemoglobin (mg/dL) | 12.6 (9.8-16.6) | 12.9 (10.1-16.9) | 0.460 |
| PLT (× 103/µL) | 156 (102-253) | 165 (113-267) | 0.115 |
| Creatinine (mg/dL) | 0.89 (0.69-1.20) | 0.83 (0.65-1.15) | 0.328 |
| Glucose (mg/dL) | 10.5(5.1-16.5) | 11.3 (4.4-18.8) | 0.085 |
| Cholesterol (mg/dL) | 159.2 (137.3-195.3) | 144.0 (127.4-199.8) | 0.075 |
| Beta blockers, n (%) | 51 (10.8) | 55 (11.6) | 0.165 |
| Aspirin, n (%) | 43 (9.1) | 47 (9.9) | 0.392 |
| Flap ischemia time (min) | 123 (108-145) | 117 (101-153) | 0.558 |
| Hypotensive events, n (%) | 11 (2.3) | 15 (3.2) | 0.663 |
- Citation: Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738
- URL: https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v10.i12.3729