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Model for Predicting Surgical Site Infection Following Renal Transplant

Purpose: To predict the risk of a surgical site infection (SSI) following renal transplant surgery using the model of Ho et al.

Description

Ho et al developed a model for predicting the risk of surgical site infection (SSI) following a renal transplant. An SSI can have a negative impact on the patient, the hospital and the payers. The authors are from the University of Michigan in Ann Arbor.


Analysis: logistic regression

 

Parameters:

(1) age of the patient at the time of the transplant surgery

(2) delayed graft function (DGF)

(3) body mass index (BMI)

(4) donor

 

Parameter

Finding

Points

delayed graft function

no

0

 

yes

1

donor

living unrelated

1

 

other

0

 

X =

= (0.018 * (age in years)) + (0.571 * (points for DGF)) + (0.083 * (BMI)) - (0.744 * (points for donor)) - 4.764

 

risk of SSI =

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

 

where:

• In the paper the formula is given as "Log of SSI risk" equals X.


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Specialty

Objective

ICD-10