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Updated: Feb 3, 2026

Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Development of a practical prediction score for chronic kidney disease after cardiac surgery
D Legouis1, M Jamme2, P Galichon2
1Intensive Care Unit, Department of Anaesthesiology, Pharmacology and Intensive Care, University Hospital of Geneva, Geneva, Switzerland.
Insights
A new scoring system helps identify patients at high risk for chronic kidney disease (CKD) after cardiac surgery. This tool aids in targeted monitoring and intervention to prevent CKD complications.
Area of Science:
- Nephrology
- Cardiology
- Surgical Outcomes
Background:
- Chronic kidney disease (CKD) is a significant complication following cardiac surgery.
- Early identification of patients at risk for CKD is crucial for timely intervention.
Purpose of the Study:
- To develop and validate a predictive scoring system for CKD risk one year post-cardiac surgery.
- To facilitate early detection and management of CKD in cardiac surgery patients.
Main Methods:
- A cohort study involving patients undergoing cardiac surgery with cardiopulmonary bypass.
- Logistic regression was used to identify risk factors for de novo CKD.
- A risk score was derived and externally validated in a separate cohort.
Main Results:
- The scoring system incorporates postoperative acute kidney injury, age over 65, preoperative GFR, aortic cross-clamping time, and surgery type.
- The score demonstrated good predictive accuracy in the derivation cohort (AUC: 0.81) and fair accuracy in the validation cohort (AUC: 0.78).
- Incidence of CKD was 18% and 23% in derivation and validation cohorts, respectively.
Conclusions:
- An easily calculable scoring system can identify patients at high risk for CKD after cardiac surgery.
- This tool can guide clinicians in monitoring renal function and designing preventative trials.
- Improved risk stratification may lead to better patient outcomes and reduced CKD incidence.
Background:
Chronic kidney disease (CKD) is a frequent and serious complication of cardiac surgery. This study was designed to establish a scoring system, calculated in the immediate postoperative period, to assess the risk of CKD at 1 yr in patients undergoing cardiac surgery with cardiopulmonary bypass.
Methods:
We conducted a cohort study including patients with preoperative estimated glomerular filtration rate above 60 ml min-1 (1.73 m)-2 who underwent cardiac surgery with cardiopulmonary bypass. We identified risk factors for de novo CKD at 1 yr using logistic regression. We derived a risk score for CKD, and externally validated this score in a second cohort.
Results:
The incidence of CKD was 18% and 23% in the derivation and validation cohorts, respectively. We developed a scoring system that included (i) the occurrence of postoperative acute kidney injury according to the Kidney Disease: Improving Global Outcomes criteria, (ii) age older than 65 yr, (iii) preoperative glomerular filtration rate <80 ml min-1 (1.73 m)-2, (iv) aortic cross-clamping time longer than 50 min, and (v) the type of surgery (aortic or cardiac transplantation). This score predicted CKD with good accuracy (area under the receiver operating characteristic curve: 0.81; 95% confidence interval: 0.77-0.86 in the derivation cohort), and with fair accuracy in the validation cohort (area under the receiver operating characteristic curve: 0.78; 95% confidence interval: 0.72-0.83).
Conclusions:
We provide an easy-to-calculate scoring system to identify patients at high risk of developing CKD after cardiac surgery with cardiopulmonary bypass. This system might help clinicians to target more accurately patients requiring monitoring of renal function after cardiac surgery, and to design appropriate interventional trials aimed at preventing CKD or mitigating its consequences.
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