Copyright
©The Author(s) 2023.
World J Clin Cases. Nov 6, 2023; 11(31): 7543-7552
Published online Nov 6, 2023. doi: 10.12998/wjcc.v11.i31.7543
Published online Nov 6, 2023. doi: 10.12998/wjcc.v11.i31.7543
Risk factors | β | Sx | P value | OR | 95%CI | |
Lower limit | Upper limit | |||||
Age | 0.062 | 0.017 | < 0.001 | 1.064 | 1.029 | 1.100 |
D-dimer | 1.681 | 0.375 | < 0.001 | 5.368 | 2.575 | 11.190 |
Infections | 1.268 | 0.476 | 0.008 | 3.553 | 1.397 | 9.039 |
Carprini | 0.548 | 0.143 | < 0.001 | 1.731 | 1.308 | 2.290 |
Steroid | 0.963 | 0.397 | 0.015 | 2.619 | 1.203 | 5.706 |
Operation time | 0.369 | 0.143 | 0.010 | 1.446 | 1.093 | 1.914 |
Transfusion | 1.342 | 0.657 | 0.041 | 3.828 | 1.056 | 13.873 |
IPC | -2.370 | 0.486 | < 0.001 | 0.094 | 0.036 | 0.242 |
- Citation: Su ZJ, Wang HR, Liu LQ, Li N, Hong XY. Analysis of risk factors for postoperative deep vein thrombosis after craniotomy and nomogram model construction. World J Clin Cases 2023; 11(31): 7543-7552
- URL: https://www.wjgnet.com/2307-8960/full/v11/i31/7543.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v11.i31.7543