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Table 4 Coefficient, standard error and significance of the variables of the final model of logistic regression analysis; estimated equation for calculating the probabilities and some examples calculated [n = 32,533]

From: Severe maternal morbidity (near miss) as a sentinel event of maternal death. An attempt to use routine data for surveillance

Variables Coefficient Standard error of the coefficient p
Admission to ICU with severe infection 3.1320 0.4564 < 0.0001
Admission to ICU 2.5677 0.2283 < 0.0001
Severe preeclampsia with severe hemorrhage 4.6209 0.6360 < 0.0001
Cerebral disorder 3.1013 0.7710 < 0.0002
HIV-related disease 2.5265 0.7502 0.0008
Emergency hysterectomy with severe hemorrhage 3.1746 0.8221 < 0.0002
Severe preeclampsia -1.0093 0.2669 < 0.0005
Admission to ICU with severe hemorrhage -2.3838 0.9754 0.0145
Vascular disorder 2.8264 0.7983 < 0.0005
Severe infection -0.8317 0.3202 0.0094
Emergency hysterectomy 0.6534 0.5433 0.2292
Severe hemorrhage -0.6591 0.3143 0.0360
Constant -5.4710 0.1912 < 0.0001
Estimated equation:    
Prob(death) = 1/(1+exp(-(-5.4710 +3.1320 × Int(ICU, Infection) + 2.5677 × ICU + 4.6209 × Int(Preeclampsia, Hemorrhage) + 3.1013 × Cerebral disorder + 2.5265 × HIV + 3.1746 × Int(Hysterectomy, Hemorrhage) - 1.0093 × Preeclampsia + -2.3838 × Int(ICU, Hemorrhage) + 2.8264 × Vascular disorder - 0.8317 × Infection + 0.6534 × Hysterectomy - 0.6591 × Hemorrhage)))
Examples: Prob (death)   
Admission to ICU with severe infection 0.3537   
Emergency hysterectomy with severe hemorrhage 0.0910   
Cerebral disorder 0.0855   
Severe preeclampsia with severe hemorrhage 0.0746   
Vascular disorder 0.0663   
Admission to ICU 0.0520   
HIV-related disease 0.0500   
Emergency hysterectomy 0.0080   
Admission to ICU with severe hemorrhage 0.0026   
Severe hemorrhage 0.0022   
Severe infection 0.0018   
Severe preeclampsia 0.0015