Related Experiment Video
Updated: Jun 9, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Risk stratification nomogram for nephropathy after abdominal contrast-enhanced computed tomography
Kyung Su Kim1, Kyuseok Kim, Seung Sik Hwang
1Department of Emergency Medicine, Seoul National University Hospital, Seoul, Korea.
A new nomogram predicts contrast-induced nephropathy risk after emergency abdominal contrast-enhanced computed tomography (A-CECT). This tool uses age and baseline serum creatinine to stratify patient risk before the procedure.
Area of Science:
- Radiology
- Nephrology
- Medical Informatics
Background:
- Abdominal contrast-enhanced computed tomography (A-CECT) is a common emergency department imaging modality.
- Contrast-induced nephropathy (CIN) is a known risk associated with A-CECT.
- Accurate risk stratification for CIN is crucial for patient management.
Purpose of the Study:
- To develop and validate a predictive nomogram for nephropathy following emergency A-CECT.
- To identify key clinical variables associated with CIN risk.
- To enable individualized risk assessment before contrast administration.
Main Methods:
- Retrospective analysis of 750 patients undergoing emergency A-CECT with pre- and post-procedure serum creatinine (SCr) measurements.
- Nephropathy defined by SCr increase (≥0.5 mg/dL or ≥25% from baseline).
- Multivariate logistic regression used to develop a nomogram based on pre-procedural clinical variables; internal validation via bootstrapping.
Main Results:
- Nephropathy occurred in 34 of 750 patients (4.5%).
- A predictive nomogram was developed using age and baseline SCr as significant risk factors.
- The model demonstrated fair diagnostic accuracy with an Area Under the Curve (AUC) of 0.794.
Conclusions:
- An internally validated nomogram effectively predicts individual nephropathy risk after emergency A-CECT.
- The nomogram utilizes readily available pre-procedural clinical variables.
- This tool can aid clinicians in managing CIN risk in emergency settings.
Related Concept Videos
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Imaging Studies III: Computed Tomography
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Imaging Studies VII: Vascular Imaging
Acute Kidney Injury I: Introduction
Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT