Description

Stojadinovic et al developed a model for predicting treatment failure in a patient with a suppurative kidney infection. This can help to identify a patient who may benefit from more aggressive management. The authors are from Clinical Center Kragujevac in Serbia.


 

Patient selection: suppurative kidney infection (abscess, pyelonephritis, etc)

 

Parameters:

(1) sepsis syndrome

(2) early antibiotic therapy (adequate if isolates susceptible to at least 1 antibiotic)

(3) adequate complete urologic procedure (complete drainage, source control, nephrectomy, all purulent collections drained)

Parameter

Finding

OR

Points

sepsis syndrome

no

1

0

 

yes

19.3

5

early antibiotic therapy

adequate

1

0

 

inadequate

7.7

4

complete urologic procedure

early

0.012

0

 

late, not done or incomplete

1

13

 

where:

• In the original table early complete urologic procedure is shown as +13. However, the odds ratio is 0.012 indicating a negative impact. This indicates that an early adequate urologic procedure should be assigned –13 if late therapy was scored 0.

• The point value can be generated by dividing the boostrap beta coefficients (0.25, 0.19, 0.644 respectively) by 0.05.

 

total score =

= SUM(points for all 3 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 22

• A score > 5 identifies patients with early treatment failure.

 

Performance:

• A score > 5 identified 91-93% of patients who failed in the various study groups.

 


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