Description

Smith et al used probability models for estimating the risk of cesarean section for a pregnant woman. The authors are from Cambridge University, Austin Community College (Texas), and NHS Board Glasgow.


 

Patient selection: pregnant woman with singleton fetus

 

Parameters (Table III, page 2032).

(1) maternal age

(2) maternal height in centimeters

(3) week gestation

(4) gender of fetus

 

Maternal Age

Likelihood Ratio

< 16 years

NA

16 to 26 years

(0.003298 * ((age)^2)) - (0.07917 * (age)) + 0.8150

26 to 48 years

(0.000081 * ((age)^2)) + (0.09836 * (age)) - 1.653

> 48 years

NA

 

 

Maternal Height

Likelihood Ratio

< 143 cm

NA

143 to 152

(0.02981 * ((hgt)^2)) - (9.225 * (hgt)) + 715.8

152 to 164

(0.006758 * ((hgt)^2)) - (2.247 * (hgt)) + 187.6

164 to 176

(0.001783 * ((hgt)^2)) - (0.6303 * (hgt)) + 56.24

176 to 183

0.54

> 183 cm

NA

 

 

Parameter

Finding

Likelihood Ratio

week gestation

< 37

NA

 

37 weeks

1.23

 

38 weeks

0.91

 

39 weeks

0.84

 

40 weeks

0.89

 

41 weeks

1.01

 

42 weeks

1.42

 

43 weeks

NA

gender of fetus

unknown

1

 

male

1.20

 

female

0.81

 

Step 1: Estimate pretest probability of the woman having a cesarean section, in percent.

 

Step 2: Determine background odds.

 

background odds of cesarean section =

= (percent cesarean section) / (100 - (percent cesarean section))

 

Step 3: Calculate posterior odds for the cesarean section.

 

posterior odds =

= (background odds) * (LR maternal age) * (LR maternal height) * (LR week gestation) * (LR gender fetus)

 

Step 4: Convert posterior odds to estimated risk.

 

estimated risk =

= (posterior odds) / (1 + (posterior odds))

 


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