Development and Validation of an Enhanced Prediction Score for Postoperative Acute Renal Failure After Liver Resection
- Conditions
- Acute Renal Failure
- Registration Number
- NCT01318798
- Lead Sponsor
- University of Zurich
- Brief Summary
Post-operative acute renal failure is a severe post-operative complication and is associated with high mortality. The enhanced prediction score, including pre-as well as intra-operative predictors accurately predicted ARF following hepatic surgery. This prediction score allows early identification of patients at high risk of ARF and may support decision-making for protective kidney treatment.
- Detailed Description
To enhance and validate an already pre-existing score accurately predicting post-operative acute renal failure (ARF) after hepatic surgery
We will enhance a pre-existing score predicting ARF based on pre-operative as well as intra-operative predictors.
Development process: we will identify the strongest predictors of ARF in a multivariable logistic regression model followed by a stepwise backward logistic regression analysis and bootstrapping.
Validation process: we will perform an internal validation by calibrating the prediction model as well as by k-fold cross validation (c statistics) and bootstrapping. Additionally, we will calculate the discrimination by the area under the curve (AUC).
Decision curve analysis: Furthermore we will perform a decision curve analysis to evaluate the clinical consequences of both prediction scores whether a patient with increased ARF risk would post-operative benefit of a treatment on the ICU.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 549
- > 18 years
- scheduled for liver surgery
- benign as well as malignant diseases
- liver trauma
- incomplete data sets
- pre-operative chronic renal failure requiring hemodialysis
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Development of an enhanced prediction score for ARF within 48 hours post-operative Development of an enhanced but still simple and easy applicable score based on pre- and extended by intra-operative risk factors to predict postoperative ARF in patients scheduled for liver resection
- Secondary Outcome Measures
Name Time Method Decision curve analysis within 48 hours post-operative Describing a decision making model by performing a decision curve analysis for clinical consequences of the enhanced prediction score and comparing it with the pre-operative prediction score
internal validation of the enhanced prediction score within 48 hours post-operative internal Validation: discrimination, calibration, k-fold cross validation and bootstrapping
Trial Locations
- Locations (1)
University Hospital of Zurich, Departmente of Visceral and Transplantation Surgery
🇨🇭Zurich, Switzerland
University Hospital of Zurich, Departmente of Visceral and Transplantation Surgery🇨🇭Zurich, Switzerland