26 September 2012
The Donor-Risk-Index, ECD-Score and D-MELD-Score all fail to predict short-term outcome after liver transplantation with acceptable sensitivity and specificity
Harald SchremABCDEF, Benedikt ReichertABCDEF, Nils FrühaufBDF, Thomas BeckerCDF, Frank LehnerCDF, Moritz KleineBDE, Hüseyin BektasCDF, Lea ZachauBCF, Jürgen KlempnauerCDFDOI: 10.12659/AOT.883452
Ann Transplant 2012; 17(3): 5-13
Abstract
Background: Expansion of the donor pool by the use of grafts with extended donor criteria reduces waiting list mortality with an increased risk for graft and patient survival after liver transplantation. This study investigates the ability of the Donor-Risk-Index (DRI), the Extended-Criteria-Donor-Score (ECD-score) and the D-MELD-score to predict early outcome after liver transplantation.
Material/Methods: 291 consecutive adult liver transplants (01.01.2007–31.12.2010) were analysed in a single centre study with ongoing data collection. Primary study endpoints were 30-day mortality, 3-month mortality, 3-month patient and graft survival and the necessity of acute retransplantation within 30 days. For the primary study endpoints ROC-curve analysis was performed to calculate the sensitivity, specificity, and overall model correctness of the Donor-Risk-Index (DRI), Extended-Criteria-Donor-Score (ECD-score) and the D-MELD-Score as predictive models. Cut-off values were selected with the best Youden index.
Results: ROC-curve analysis showed areas under the curve (AUROCs) <0.7 for the DRI, the ECD-Score and the D-MELD-Score as models for the prediction of 30-day mortality, 3-month mortality, 3-month patient survival, 3-month graft survival as well as the necessity of acute retransplantation within 30 days after transplantation with unacceptable low levels of overall model correctness (<62%) and specificity (<56%).
Conclusions: The DRI, the ECD-Score and the D-MELD-Score all fail to predict short-term outcome after liver transplantation with acceptable overall model correctness in a current European transplant setting.
Keywords: Liver Transplantation, Prognostic models, receiver operating characteristics
In Press
Original article
A New Routine Immunity Score (RIS2020) to Predict Severe Infection in Solid-Organ Transplant RecipientsAnn Transplant In Press; DOI: 10.12659/AOT.946233
Original article
Survival Analysis of Liver Transplants in Patients with Acute Liver Failure from Acetaminophen and Mushroom...Ann Transplant In Press; DOI: 10.12659/AOT.946485
Original article
Medication Adherence Among Pediatric Post-Heart Transplant Patients in a Tertiary Care HospitalAnn Transplant In Press; DOI: 10.12659/AOT.946905
Most Viewed Current Articles
03 Jan 2023 : Original article 6,368
Impact of Autologous Stem Cell Transplantation on Primary Central Nervous System Lymphoma in First-Line and...DOI :10.12659/AOT.938467
Ann Transplant 2023; 28:e938467
16 May 2023 : Original article 6,030
Breaking Antimicrobial Resistance: High-Dose Amoxicillin with Clavulanic Acid for Urinary Tract Infections ...DOI :10.12659/AOT.939258
Ann Transplant 2023; 28:e939258
15 Aug 2023 : Review article 5,906
Free-Circulating Nucleic Acids as Biomarkers in Patients After Solid Organ TransplantationDOI :10.12659/AOT.939750
Ann Transplant 2023; 28:e939750
17 Jan 2023 : Original article 5,150
Non-Cryopreserved Peripheral Blood Stem Cell Graft for Autologous Hematopoietic Stem Cell Transplantation i...DOI :10.12659/AOT.938595
Ann Transplant 2023; 28:e938595