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©The Author(s) 2024.
World J Clin Cases. Aug 6, 2024; 12(22): 4865-4872
Published online Aug 6, 2024. doi: 10.12998/wjcc.v12.i22.4865
Published online Aug 6, 2024. doi: 10.12998/wjcc.v12.i22.4865
Table 2 Binary logistic regression analysis of factors related to hysterectomy
Parameters | β | SE | Wald χ2 | P value | OR | OR (95%CI) |
Age | 0.042 | 0.023 | 3.153 | 0.076 | 1.043 | 0.996-1.092 |
Number of deliveries | 0.493 | 0.123 | 16.136 | 0.000 | 1.637 | 1.287-2.083 |
History of cesarean section | 0.601 | 0.260 | 5.341 | 0.021 | 1.824 | 1.096-3.036 |
History of adverse obstetric or perinatal events | 0.475 | 0.266 | 3.189 | 0.074 | 1.607 | 0.955-2.706 |
Placenta previa | 2.237 | 0.284 | 61.853 | 0.000 | 9.367 | 5.364-16.359 |
Uterine atony | 2.663 | 0.345 | 59.598 | 0.000 | 14.343 | 7.294-28.202 |
Placenta accreta | 1.505 | 0.292 | 26.559 | 0.000 | 4.504 | 2.541-7.984 |
Constant | -10.565 | 0.872 | 146.709 | 0.000 | 0.000 |
- Citation: Wang L, Pan JY. Predictive model for postpartum hemorrhage requiring hysterectomy in a minority ethnic region. World J Clin Cases 2024; 12(22): 4865-4872
- URL: https://www.wjgnet.com/2307-8960/full/v12/i22/4865.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v12.i22.4865