How to Estimate the Probability of Tolerance Long-Term in Liver Transplant Recipients.

graft loss graft rejection immunosuppression liver transplantation operational tolerance

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
16 Oct 2023
Historique:
received: 03 09 2023
revised: 29 09 2023
accepted: 11 10 2023
medline: 28 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

Operational tolerance as the ability to accept the liver transplant without pharmacological immunosuppression is a common phenomenon in the long-term course. However, it is currently underutilized due to a lack of simple diagnostic support and fear of rejection despite its recognized benefits. In the present work, we present a simple score based on clinical parameters to estimate the probability of tolerance. In order to estimate the probability of tolerance, clinical parameters from 82 patients after LT who underwent weaning from the IS for various reasons at our transplant center were extracted from a prospectively organized database and analyzed retrospectively. Univariate testing as well as multivariable logistic regression analysis were performed to assess the association of clinical variables with tolerance in the real-world setting. The most important factors associated with tolerance after multivariable logistic regression were IS monotherapy, male sex, history of hepatocellular carcinoma pretransplant, time since LT, and lack of rejection. These five predictors were retained in an approximate model that could be presented as a simple scoring system to estimate the clinical probability of tolerance or IS dispensability with good predictive performance (AUC = 0.89). In parallel with the existence of a tremendous need for further research on tolerance mechanisms, the presented score, after validation in a larger collective preferably in a multicenter setting, could be easily and safely applied in the real world and already now address all three levels of prevention in LT patients over the long-term course.

Sections du résumé

BACKGROUND BACKGROUND
Operational tolerance as the ability to accept the liver transplant without pharmacological immunosuppression is a common phenomenon in the long-term course. However, it is currently underutilized due to a lack of simple diagnostic support and fear of rejection despite its recognized benefits. In the present work, we present a simple score based on clinical parameters to estimate the probability of tolerance.
PATIENTS AND METHODS METHODS
In order to estimate the probability of tolerance, clinical parameters from 82 patients after LT who underwent weaning from the IS for various reasons at our transplant center were extracted from a prospectively organized database and analyzed retrospectively. Univariate testing as well as multivariable logistic regression analysis were performed to assess the association of clinical variables with tolerance in the real-world setting.
RESULTS RESULTS
The most important factors associated with tolerance after multivariable logistic regression were IS monotherapy, male sex, history of hepatocellular carcinoma pretransplant, time since LT, and lack of rejection. These five predictors were retained in an approximate model that could be presented as a simple scoring system to estimate the clinical probability of tolerance or IS dispensability with good predictive performance (AUC = 0.89).
CONCLUSION CONCLUSIONS
In parallel with the existence of a tremendous need for further research on tolerance mechanisms, the presented score, after validation in a larger collective preferably in a multicenter setting, could be easily and safely applied in the real world and already now address all three levels of prevention in LT patients over the long-term course.

Identifiants

pubmed: 37892685
pii: jcm12206546
doi: 10.3390/jcm12206546
pmc: PMC10607917
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Dennis Eurich (D)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Stephan Schlickeiser (S)

Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Ramin Raul Ossami Saidy (RR)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Deniz Uluk (D)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Florian Rossner (F)

Department of Pathology, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Max Delbrueck Center for Molecular Medicine, Helmholtz Association, 13125 Berlin, Germany.

Maximilian Postel (M)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Wenzel Schoening (W)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Robert Oellinger (R)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Georg Lurje (G)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Johann Pratschke (J)

Department of Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Petra Reinke (P)

Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.
Berlin Center for Advanced Therapies (BeCAT), Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité-Universitaetsmedizin Berlin, 13353 Berlin, Germany.

Natalie Gruen (N)

Berlin Center for Advanced Therapies (BeCAT), Berlin Institute of Health (BIH) Center for Regenerative Therapies (BCRT), Charité-Universitaetsmedizin Berlin, 13353 Berlin, Germany.
Department of Nephrology and Internal Intensive Care Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany.

Classifications MeSH