Diagnosis and Treatment of Kidney Disease—2nd Edition

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1244

Special Issue Editor


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Guest Editor
1. Unit of Clinical Pathology, Department of Medical and Surgical Sciences, University of Foggia, University Hospital “Policlinico Riuniti”, Viale Luigi Pinto, 71122 Foggia, Italy
2. Center for Research and Innovation in Medicine (CREATE), Department of Medical and Surgical Sciences, University of Foggia, University Hospital “Policlinico Riuniti”, Viale Luigi Pinto, 71122 Foggia, Italy
Interests: kidney transplantation; renal disease
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Special Issue Information

Dear Colleagues,

Kidney disease is an important and common public health problem with increasing incidence and prevalence, high costs, and poor outcomes. To overcome this problem in the future, it is indispensable for us to explore and establish early detection and treatment methods for various kidney diseases, which include primary/secondary glomerulonephritis, rapidly progressive glomerulonephritis, nephrotic syndrome, acute kidney injury, diabetic nephropathy/diabetic kidney disease, chronic renal failure, renal fibrosis, and polycystic kidney disease.

This Special Issue aims to bring together a collection of original research and review articles addressing novel biomarkers, techniques, and approaches that will be valuable and helpful for the diagnosis and treatment of kidney diseases.

Dr. Giuseppe Stefano Netti
Guest Editor

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Keywords

  • kidney diseases
  • acute kidney injury
  • nephropathy
  • biomarkers
  • diagnosis
  • chronic renal failure

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Published Papers (1 paper)

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Research

15 pages, 813 KB  
Article
Comparative Evaluation of Clinical and Immunonutritional Risk Scores for Predicting Contrast-Associated Acute Kidney Injury in Emergency Patients
by Meliha Fındık, Muhammet Çakas and Uğur Demir
Diagnostics 2025, 15(22), 2842; https://doi.org/10.3390/diagnostics15222842 - 10 Nov 2025
Cited by 1 | Viewed by 893
Abstract
Background: Contrast-associated acute kidney injury (CA-AKI) is a clinically important complication following contrast-enhanced computed tomography (CT), particularly in emergency department (ED) populations. While several risk scores have been proposed, their comparative performance in ED-based imaging remains uncertain. Methods: This retrospective single-center study included [...] Read more.
Background: Contrast-associated acute kidney injury (CA-AKI) is a clinically important complication following contrast-enhanced computed tomography (CT), particularly in emergency department (ED) populations. While several risk scores have been proposed, their comparative performance in ED-based imaging remains uncertain. Methods: This retrospective single-center study included 472 adult patients who underwent contrast-enhanced CT between November 2023 and November 2024. Patients with end-stage kidney disease, renal transplantation, baseline eGFR < 30 mL/min/1.73 m2, or incomplete laboratory data were excluded. CA-AKI was defined as an increase in serum creatinine ≥ 0.3 mg/dL or ≥25% within 48–72 h after contrast exposure in the absence of alternative causes. The Mehran score, Pre-CT AKI score, and immunonutritional indices—including the Prognostic Nutritional Index (PNI), Osaka Prognostic Score (OPS), and Glasgow Prognostic Score (GPS)—were calculated. Predictive performance was evaluated using logistic regression and receiver operating characteristic (ROC) curve analyses. Results: The incidence of CA-AKI was 2.1% (n = 10). Patients who developed CA-AKI were older and had more comorbidities, particularly chronic kidney disease, diabetes, and cardiovascular disease. In univariate analysis, baseline eGFR, Pre-CT AKI score, and PNI were significantly associated with CA-AKI. Multivariate logistic regression identified baseline eGFR and PNI as independent predictors. The Pre-CT AKI score demonstrated the highest discriminative ability (AUC = 0.87), outperforming the Mehran score (AUC = 0.74). PNI provided complementary prognostic value (AUC = 0.71), whereas OPS and GPS did not reach statistical significance. Conclusions: In ED patients undergoing contrast-enhanced CT, the Pre-CT AKI score was the most accurate predictor of CA-AKI, while PNI offered additional prognostic information reflecting immunonutritional vulnerability. The Mehran score showed moderate usefulness, whereas OPS and GPS were less applicable. Incorporating multifactorial models that integrate clinical, hemodynamic, and immunonutritional factors may improve early risk stratification and guide preventive strategies for CA-AKI in emergency settings. Full article
(This article belongs to the Special Issue Diagnosis and Treatment of Kidney Disease—2nd Edition)
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