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Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis
BACKGROUND: Variation in the use of immunosuppression regimens after liver transplant has not been well described. METHODS: Immunosuppression regimens used after liver transplant were identified in a novel database integrating national transplant registry and pharmacy fill records for 24 238 recipie...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056277/ https://www.ncbi.nlm.nih.gov/pubmed/30046654 http://dx.doi.org/10.1097/TXD.0000000000000800 |
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author | Nazzal, Mustafa Lentine, Krista L. Naik, Abhijit S. Ouseph, Rosemary Schnitzler, Mark A. Zhang, Zidong Randall, Henry Dharnidharka, Vikas R. Segev, Dorry L. Kasiske, Bertram L. Hess, Gregory P. Alhamad, Tarek McAdams-Demarco, Mara Axelrod, David A. |
author_facet | Nazzal, Mustafa Lentine, Krista L. Naik, Abhijit S. Ouseph, Rosemary Schnitzler, Mark A. Zhang, Zidong Randall, Henry Dharnidharka, Vikas R. Segev, Dorry L. Kasiske, Bertram L. Hess, Gregory P. Alhamad, Tarek McAdams-Demarco, Mara Axelrod, David A. |
author_sort | Nazzal, Mustafa |
collection | PubMed |
description | BACKGROUND: Variation in the use of immunosuppression regimens after liver transplant has not been well described. METHODS: Immunosuppression regimens used after liver transplant were identified in a novel database integrating national transplant registry and pharmacy fill records for 24 238 recipients (2006-2014). Bilevel hierarchical models were developed to quantify the effects of transplant program, recipient, and donor characteristics on regimen choice. RESULTS: In the first 6 months after transplant, triple immunosuppression (tacrolimus, antimetabolite, corticosteroids) was the most common regimen (42.9%). By months 7 to 12, immunosuppression regimens were more commonly antimetabolite sparing (33.7%) or steroid sparing (26.9%), followed by triple (14.4%), mammalian target of rapamycin inhibitor (mTORi)-based (12.1%), or cyclosporine-based (9.2%). Based on intraclass correlation analysis, clinical characteristics explained less than 10% of the variation in immunosuppression choice, whereas program preference/practice explained 23% of steroid sparing, 26% of antimetabolite sparing, 28% of mTORi, and 21% of cyclosporine-based regimen use. Although case factors were not dominant practice drivers, triple immunosuppression in months 7 to 12 was more common among retransplant recipients and those with prior acute rejection. Hepatocellular carcinoma as cause of liver failure (adjusted odds ratio [aOR], 2.15; P<0.001), cancer within 6 months (aOR, 6.07; P<0.001), and 6-month estimated glomerular filtration rate less than 30 mL/min per 1.3 m(2) (aOR, 1.98; P<0.001) were associated with mTORi use compared with triple immunosuppression in months 7 to 12, whereas acute rejection predicted lower use (aOR, 0.72; P=0.003). CONCLUSIONS: Liver transplant immunosuppression is dominantly driven by program preference, but case factors also affect regimen choice. This variation frames a natural experiment for future evaluations of comparative efficacy. |
format | Online Article Text |
id | pubmed-6056277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-60562772018-07-25 Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis Nazzal, Mustafa Lentine, Krista L. Naik, Abhijit S. Ouseph, Rosemary Schnitzler, Mark A. Zhang, Zidong Randall, Henry Dharnidharka, Vikas R. Segev, Dorry L. Kasiske, Bertram L. Hess, Gregory P. Alhamad, Tarek McAdams-Demarco, Mara Axelrod, David A. Transplant Direct Kidney Transplantation BACKGROUND: Variation in the use of immunosuppression regimens after liver transplant has not been well described. METHODS: Immunosuppression regimens used after liver transplant were identified in a novel database integrating national transplant registry and pharmacy fill records for 24 238 recipients (2006-2014). Bilevel hierarchical models were developed to quantify the effects of transplant program, recipient, and donor characteristics on regimen choice. RESULTS: In the first 6 months after transplant, triple immunosuppression (tacrolimus, antimetabolite, corticosteroids) was the most common regimen (42.9%). By months 7 to 12, immunosuppression regimens were more commonly antimetabolite sparing (33.7%) or steroid sparing (26.9%), followed by triple (14.4%), mammalian target of rapamycin inhibitor (mTORi)-based (12.1%), or cyclosporine-based (9.2%). Based on intraclass correlation analysis, clinical characteristics explained less than 10% of the variation in immunosuppression choice, whereas program preference/practice explained 23% of steroid sparing, 26% of antimetabolite sparing, 28% of mTORi, and 21% of cyclosporine-based regimen use. Although case factors were not dominant practice drivers, triple immunosuppression in months 7 to 12 was more common among retransplant recipients and those with prior acute rejection. Hepatocellular carcinoma as cause of liver failure (adjusted odds ratio [aOR], 2.15; P<0.001), cancer within 6 months (aOR, 6.07; P<0.001), and 6-month estimated glomerular filtration rate less than 30 mL/min per 1.3 m(2) (aOR, 1.98; P<0.001) were associated with mTORi use compared with triple immunosuppression in months 7 to 12, whereas acute rejection predicted lower use (aOR, 0.72; P=0.003). CONCLUSIONS: Liver transplant immunosuppression is dominantly driven by program preference, but case factors also affect regimen choice. This variation frames a natural experiment for future evaluations of comparative efficacy. Lippincott Williams & Wilkins 2018-06-13 /pmc/articles/PMC6056277/ /pubmed/30046654 http://dx.doi.org/10.1097/TXD.0000000000000800 Text en Copyright © 2018 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Kidney Transplantation Nazzal, Mustafa Lentine, Krista L. Naik, Abhijit S. Ouseph, Rosemary Schnitzler, Mark A. Zhang, Zidong Randall, Henry Dharnidharka, Vikas R. Segev, Dorry L. Kasiske, Bertram L. Hess, Gregory P. Alhamad, Tarek McAdams-Demarco, Mara Axelrod, David A. Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title | Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title_full | Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title_fullStr | Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title_full_unstemmed | Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title_short | Center-driven and Clinically Driven Variation in US Liver Transplant Maintenance Immunosuppression Therapy: A National Practice Patterns Analysis |
title_sort | center-driven and clinically driven variation in us liver transplant maintenance immunosuppression therapy: a national practice patterns analysis |
topic | Kidney Transplantation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056277/ https://www.ncbi.nlm.nih.gov/pubmed/30046654 http://dx.doi.org/10.1097/TXD.0000000000000800 |
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