Potential value and limitations of different clinical scoring systems in the assessment of short- and long-term outcome following orthotopic liver transplantation.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 02 02 2019
accepted: 10 03 2019
entrez: 22 3 2019
pubmed: 22 3 2019
medline: 18 12 2019
Statut: epublish

Résumé

In an attempt to further improve liver allograft utilization and outcome in orthotopic liver transplantation (OLT), a variety of clinical scoring systems have been developed. Here we aimed to comparatively investigate the association of the Balance-of-Risk (BAR), Survival-Outcomes-Following-Liver-Transplant (SOFT), Preallocation-Survival-Outcomes-Following-Liver-Transplant (pSOFT), Donor-Risk-Index (DRI), and the Eurotransplant-Donor-Risk-Index (ET-DRI) scores with short- and long-term outcome following OLT. We included 338 consecutive patients, who underwent OLT in our institution between May 2010 and November 2017. For each prognostic model, the optimal cutoff values were determined with the help of the Youden-index and their diagnostic accuracy for 90-day post OLT-mortality and major postoperative complications was measured by the area under the receiver operating characteristic curve (AUROC). Patient- and graft survival were analyzed using the Kaplan-Meier method and the log-rank test. Morbidity was assessed using the Clavien-Dindo classification and the Comprehensive-Complication-Index. BAR, SOFT, and pSOFT performed well above the conventional AUROC-threshold of 0.70 with good prediction of early mortality. Only BAR showed AUC>0.70 for both mortality and major morbidity. With the cutoffs of 14, 31, and 22 respectively for BAR, SOFT, and pSOFT, subgroup analysis showed significant differences (p<0.001) in morbidity and mortality, length of intensive care- and hospital-stay and early allograft dysfunction rates. Five-years patient survival was inferior in the high BAR, pSOFT, and SOFT groups. Out of all scores tested, the BAR-score had the best value in predicting both 90-day morbidity and mortality after OLT showing the highest AUCs. The pSOFT and SOFT scores demonstrated an acceptable accuracy in predicting 90-day morbidity and mortality. The used BAR, SOFT, and pSOFT cutoffs allowed the identification of patients at risk in terms of five-year patient survival. The DRI and ET-DRI scores have failed to predict recipient outcomes in the present setting.

Sections du résumé

BACKGROUND
In an attempt to further improve liver allograft utilization and outcome in orthotopic liver transplantation (OLT), a variety of clinical scoring systems have been developed. Here we aimed to comparatively investigate the association of the Balance-of-Risk (BAR), Survival-Outcomes-Following-Liver-Transplant (SOFT), Preallocation-Survival-Outcomes-Following-Liver-Transplant (pSOFT), Donor-Risk-Index (DRI), and the Eurotransplant-Donor-Risk-Index (ET-DRI) scores with short- and long-term outcome following OLT.
METHODS
We included 338 consecutive patients, who underwent OLT in our institution between May 2010 and November 2017. For each prognostic model, the optimal cutoff values were determined with the help of the Youden-index and their diagnostic accuracy for 90-day post OLT-mortality and major postoperative complications was measured by the area under the receiver operating characteristic curve (AUROC). Patient- and graft survival were analyzed using the Kaplan-Meier method and the log-rank test. Morbidity was assessed using the Clavien-Dindo classification and the Comprehensive-Complication-Index.
RESULTS
BAR, SOFT, and pSOFT performed well above the conventional AUROC-threshold of 0.70 with good prediction of early mortality. Only BAR showed AUC>0.70 for both mortality and major morbidity. With the cutoffs of 14, 31, and 22 respectively for BAR, SOFT, and pSOFT, subgroup analysis showed significant differences (p<0.001) in morbidity and mortality, length of intensive care- and hospital-stay and early allograft dysfunction rates. Five-years patient survival was inferior in the high BAR, pSOFT, and SOFT groups.
CONCLUSIONS
Out of all scores tested, the BAR-score had the best value in predicting both 90-day morbidity and mortality after OLT showing the highest AUCs. The pSOFT and SOFT scores demonstrated an acceptable accuracy in predicting 90-day morbidity and mortality. The used BAR, SOFT, and pSOFT cutoffs allowed the identification of patients at risk in terms of five-year patient survival. The DRI and ET-DRI scores have failed to predict recipient outcomes in the present setting.

Identifiants

pubmed: 30897167
doi: 10.1371/journal.pone.0214221
pii: PONE-D-19-03254
pmc: PMC6428268
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0214221

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Joerg Boecker (J)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Zoltan Czigany (Z)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Jan Bednarsch (J)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Iakovos Amygdalos (I)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Franziska Meister (F)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Daniel Antonio Morales Santana (DAM)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Wen-Jia Liu (WJ)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

Pavel Strnad (P)

Department of Internal Medicine III, University Hospital RWTH Aachen, Aachen, Germany.

Ulf Peter Neumann (UP)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.
Department of Surgery, Maastricht University Medical Centre (MUMC), Maastricht, Netherland.

Georg Lurje (G)

Department of Surgery and Transplantation, University Hospital RWTH Aachen, Aachen, Germany.

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