A Clinical Score to Predict Acute Renal Failure after Cardiac Surgery
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Abstract
The risk of mortality associated with acute renal failure (ARF) after open-heart surgery continues to be distressingly high. Accurate prediction of ARF provides an opportunity to develop strategies for early diagnosis and treatment. The aim of this study was to develop a clinical score to predict postoperative ARF by incorporating the effect of all of its major risk factors. A total of 33,217 patients underwent open-heart surgery at the Cleveland Clinic Foundation (1993 to 2002). The primary outcome was ARF that required dialysis. The scoring model was developed in a randomly selected test set (n = 15,838) and was validated on the remaining patients. Its predictive accuracy was compared by area under the…
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5Topics & keywords
Topics
Keywords
- Medicine
- Receiver operating characteristic
- Confidence interval
- Framingham Risk Score
- Predictive value of tests
- Cardiac surgery
- Dialysis
- Nephrology
UN Sustainable Development Goals
- Good health and well-being
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