Prediction Model for Early-Stage CKD Using the Naples Prognostic Score and Plasma Indoleamine 2,3-dioxygenase...

Area of Science:

• Nephrology
• Biochemistry
• Immunology

Background:

• Chronic kidney disease (CKD) development is linked to inflammation, immunity, and nutritional status.
• The Naples Prognostic Score (NPS) assesses these key clinical parameters.
• Indoleamine 2.3-dioxygenase (IDO) modulates inflammatory responses and cytokine production.

Purpose of the Study:

• To evaluate the predictive capability of the NPS and IDO activity for early-stage CKD.
• To establish a predictive model integrating NPS and IDO for CKD detection.

Main Methods:

• Collected clinical and demographic data from 47 CKD patients and 30 healthy controls.
• Utilized ANOVA, rank sum tests, correlation analyses (Spearman/Pearson), and logistic regression.
• Performed Receiver Operating Characteristic (ROC) analysis to assess predictive performance.

Main Results:

• NPS positively correlated with plasma IDO activity; IDO levels increased with CKD stage.
• The NPS achieved an Area Under the Curve (AUC) of 0.779 for differentiating controls from CKD patients.
• A prediction model (NPS + plasma IDO activity) demonstrated significant predictive power across CKD stages, with AUCs ranging from 0.758 to 0.885.

Conclusions:

• A prediction model incorporating NPS and IDO activity offers robust prediction for early-stage CKD.
• The model effectively distinguishes between healthy individuals and CKD patients, and between different stages of CKD.