medical decision support medical decision support
Sign In

Model of Donati et al for Predicting Mortality Following Surgery

Description

Donati et al reported a model for predicting mortality following a surgical procedure. This can help to identify a patient who may require more aggressive management. The authors are from Marche Polytechnic University and University La Sapienza in Italy.


Patient selection: adult undergoing a surgical procedure

 

Parameters:

(1) ASA, from 1 to 5

(2) age in years

(3) severity of surgery (Johns Hopkins Surgical Grade, from 1 to 3)

(4) mode of surgery (elective, urgent, emergency)

 

Parameter

Points

ASA

1.09 * (ASA)

age in years

0.03346 * (age)

 

 

Severity

Points 1

Points 2

Subtotal Points

grade 1

0.5317 * -1

0.6739 * -1

-1.2056

grade 2

0.5317 * 1

0.6739 * 0

0.5317

grade 3

0.5317 * 0

0.6739 * 1

0.6739

 

 

Mode

Points 1

Points 2

Subtotal Points

elective

0.00477 * -1

0.8163 * -1

-0.82107

urgent

0.00477 * 1

0.8163 * 0

0.00477

emergency

0.00477 * 0

0.8163 * 1

0.8163

 

value of X =

= SUM(points for all of the parameters) - 8.087

 

probability of death =

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

 


To read more or access our algorithms and calculators, please log in or register.

Specialty