Development and Validation of an Enhanced Prediction Score for Postoperative Acute Renal Failure After Liver Resection
NCT ID: NCT01318798
Last Updated: 2015-02-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
549 participants
OBSERVATIONAL
2010-01-31
2012-04-30
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Patients with post-operative ARF
Patients developing acute renal failure (ARF) following liver surgery
ARF was defined according to the RIFLE criteria as an absolute increase in serum-creatinine of more than 0.3 mg/dl above baseline, or an increase of more than 1.5 times the pre-operative baseline value within 48 hours after surgery, or a reduction of urinary output less than 0.5 ml/kg/h for at least 6 hrs.
No interventions assigned to this group
Patients without post-operative ARF
Patients with normal kidney function (without acute renal failure (ARF)) following liver surgery
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* scheduled for liver surgery
* benign as well as malignant diseases
Exclusion Criteria
* incomplete data sets
* pre-operative chronic renal failure requiring hemodialysis
18 Years
95 Years
ALL
No
Sponsors
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University of Zurich
OTHER
Responsible Party
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Ksenija Slankamenac
Md PhD
Principal Investigators
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Ksenija Slankamenac, med. pract.
Role: PRINCIPAL_INVESTIGATOR
University Hospital Zurich, Visceral and Transplantation Surgery
Locations
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University Hospital of Zurich, Departmente of Visceral and Transplantation Surgery
Zurich, , Switzerland
Countries
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References
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Slankamenac K, Breitenstein S, Held U, Beck-Schimmer B, Puhan MA, Clavien PA. Development and validation of a prediction score for postoperative acute renal failure following liver resection. Ann Surg. 2009 Nov;250(5):720-8. doi: 10.1097/SLA.0b013e3181bdd840.
Other Identifiers
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StV 33-2009
Identifier Type: -
Identifier Source: org_study_id
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