Description

Apfel et al developed a risk score ("Score 2") for predicting the risk postoperative vomiting in an adult based on the type of surgery. This can help identify a patient who may benefit from more aggressive management to prevent vomiting. The authors are from the University of Wuerzburg in Germany.


 

Parameters:

(1) gender

(2) age (in decades)

(3) history of motion sickness or postoperative nausea and vomiting (PONV)

(4) surgery type

Parameter

Finding

Beta Coefficient

gender

male

0

 

female

0.547

age

age in decades (see below)

(-0.124) * (age in decades)

history of MS or PONV

no

0

 

yes

1.464

type of surgery

bone surgery

-0.086

 

breast surgery

0.807

 

cataract surgery

-0.366

 

laparoscopy

-1.015

 

laparotomy

-0.114

 

strabismus surgery

-0.243

 

thyroid surgery

0.997

 

vascular surgery

0.485

 

other

0

 

where:

• A positive beta coefficient reflects increased risk for PONV, while a negative coefficient indicates a reduced risk.

• There are two ways that age might be handled: (1) (age)/10; (2) INT(age/10).

• I assume that only 1 kind of surgery can be done at a time.

• The beta coefficient for an operation not listed is unclear. I will use a 0 but there probably are other options.

 

X =

= SUM(beta coefficients for all 4 parameters) - 1.023

 

probability of postoperative vomiting =

= 1 / (1 + EXP((-1) * X))

 

Performance:

• As indicated on page 508, this risk score did not predict postoperative vomiting better than the simple model described 31.11.01 (which was published immediately prior in the same journal).

 


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