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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