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.
Specialty: Infectious Diseases, Pharmacology, clinical, Urology
ICD-10: ,