Scoring system development and validation for initial treatment failure in suppurative kidney infections

Area of Science:

• Nephrology
• Infectious Diseases
• Urology

Background:

• Suppurative kidney infections (SKIs) carry significant risks of mortality and morbidity.
• Existing literature lacks a prognostic model for predicting adverse early outcomes in SKI.
• This study addresses the need for a tool to identify patients at high risk for early treatment failure.

Purpose of the Study:

• To derive and validate a simple scoring system for predicting early treatment failure in SKI.
• To provide clinicians with a tool for risk stratification in SKI management.
• To improve patient outcomes by enabling timely interventions.

Main Methods:

• Logistic regression and bootstrap methods were employed to develop the scoring system.
• Patient characteristics, disease severity, bacterial factors, pathology, antibiotic therapy, and urologic procedures were analyzed.
• A scoring system ranging from 0 to 22 points was created.

Main Results:

• The study included 92 adult patients with 104 SKIs; 54.8% experienced early treatment failure.
• Key predictors of early treatment failure included urologic procedures, antibiotic therapy adequacy, and sepsis syndrome.
• A cut-off score of 5 demonstrated high accuracy in predicting both early success (85.3%) and early failure (93.2%).

Conclusions:

• A validated scoring system effectively predicts early treatment failure in SKI patients.
• The scoring system shows promise for guiding clinical interventions and improving patient management.
• Further research is recommended prior to widespread clinical implementation.