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Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients
Kidney transplant recipients (KTRs) are still at risk of severe COVID-19 disease after SARS‑CoV‑2 vaccination, especially when they have limited antibody formation. Our aim was to understand the factors that may limit their humoral response. METHODS. Our data are derived from KTRs who were enrolled...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553374/ https://www.ncbi.nlm.nih.gov/pubmed/36245996 http://dx.doi.org/10.1097/TXD.0000000000001397 |
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author | Frölke, Sophie C. Bouwmans, Pim Messchendorp, A. Lianne Geerlings, Suzanne E. Hemmelder, Marc H. Gansevoort, Ron T. Hilbrands, Luuk B. Reinders, Marlies E.J. Sanders, Jan-Stephan F. Bemelman, Frederike J. Peters-Sengers, Hessel |
author_facet | Frölke, Sophie C. Bouwmans, Pim Messchendorp, A. Lianne Geerlings, Suzanne E. Hemmelder, Marc H. Gansevoort, Ron T. Hilbrands, Luuk B. Reinders, Marlies E.J. Sanders, Jan-Stephan F. Bemelman, Frederike J. Peters-Sengers, Hessel |
author_sort | Frölke, Sophie C. |
collection | PubMed |
description | Kidney transplant recipients (KTRs) are still at risk of severe COVID-19 disease after SARS‑CoV‑2 vaccination, especially when they have limited antibody formation. Our aim was to understand the factors that may limit their humoral response. METHODS. Our data are derived from KTRs who were enrolled in the Dutch Renal Patients COVID-19 Vaccination consortium, using a discovery cohort and 2 external validation cohorts. Included in the discovery (N = 1804) and first validation (N = 288) cohorts were participants who received 2 doses of the mRNA-1273 vaccine. The second validation cohort consisted of KTRs who subsequently received a third dose of any SARS-CoV-2 vaccine (N = 1401). All participants had no history of SARS-CoV-2 infection. A multivariable logistic prediction model was built using stepwise backward regression analysis with nonseroconversion as the outcome. RESULTS. The discovery cohort comprised 836 (46.3%) KTRs, the first validation cohort 124 (43.1%) KTRs, and the second validation cohort 358 (25.6%) KTRs who did not seroconvert. In the final multivariable model‚ 12 factors remained predictive for nonseroconversion: use of mycophenolate mofetil/mycophenolic acid (MMF/MPA); chronic lung disease, heart failure, and diabetes; increased age; shorter time after transplantation; lower body mass index; lower kidney function; no alcohol consumption; ≥2 transplantations; and no use of mammalian target of rapamycin inhibitors or calcineurin inhibitors. The area under the curve was 0.77 (95% confidence interval [CI], 0.74-0.79) in the discovery cohort after adjustment for optimism, 0.81 (95% CI, 0.76-0.86) in the first validation cohort, and 0.67 (95% CI, 0.64-0.71) in the second validation cohort. The strongest predictor was the use of MMF/MPA, with a dose-dependent unfavorable effect, which remained after 3 vaccinations. CONCLUSIONS. In a large sample of KTRs, we identify a selection of KTRs at high risk of nonseroconversion after SARS-CoV-2 vaccination. Modulation of MMF/MPA treatment before vaccination may help to optimize vaccine response in these KTRs. This model contributes to future considerations on alternative vaccination strategies. |
format | Online Article Text |
id | pubmed-9553374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-95533742022-10-13 Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients Frölke, Sophie C. Bouwmans, Pim Messchendorp, A. Lianne Geerlings, Suzanne E. Hemmelder, Marc H. Gansevoort, Ron T. Hilbrands, Luuk B. Reinders, Marlies E.J. Sanders, Jan-Stephan F. Bemelman, Frederike J. Peters-Sengers, Hessel Transplant Direct Kidney Transplantation Kidney transplant recipients (KTRs) are still at risk of severe COVID-19 disease after SARS‑CoV‑2 vaccination, especially when they have limited antibody formation. Our aim was to understand the factors that may limit their humoral response. METHODS. Our data are derived from KTRs who were enrolled in the Dutch Renal Patients COVID-19 Vaccination consortium, using a discovery cohort and 2 external validation cohorts. Included in the discovery (N = 1804) and first validation (N = 288) cohorts were participants who received 2 doses of the mRNA-1273 vaccine. The second validation cohort consisted of KTRs who subsequently received a third dose of any SARS-CoV-2 vaccine (N = 1401). All participants had no history of SARS-CoV-2 infection. A multivariable logistic prediction model was built using stepwise backward regression analysis with nonseroconversion as the outcome. RESULTS. The discovery cohort comprised 836 (46.3%) KTRs, the first validation cohort 124 (43.1%) KTRs, and the second validation cohort 358 (25.6%) KTRs who did not seroconvert. In the final multivariable model‚ 12 factors remained predictive for nonseroconversion: use of mycophenolate mofetil/mycophenolic acid (MMF/MPA); chronic lung disease, heart failure, and diabetes; increased age; shorter time after transplantation; lower body mass index; lower kidney function; no alcohol consumption; ≥2 transplantations; and no use of mammalian target of rapamycin inhibitors or calcineurin inhibitors. The area under the curve was 0.77 (95% confidence interval [CI], 0.74-0.79) in the discovery cohort after adjustment for optimism, 0.81 (95% CI, 0.76-0.86) in the first validation cohort, and 0.67 (95% CI, 0.64-0.71) in the second validation cohort. The strongest predictor was the use of MMF/MPA, with a dose-dependent unfavorable effect, which remained after 3 vaccinations. CONCLUSIONS. In a large sample of KTRs, we identify a selection of KTRs at high risk of nonseroconversion after SARS-CoV-2 vaccination. Modulation of MMF/MPA treatment before vaccination may help to optimize vaccine response in these KTRs. This model contributes to future considerations on alternative vaccination strategies. Lippincott Williams & Wilkins 2022-10-07 /pmc/articles/PMC9553374/ /pubmed/36245996 http://dx.doi.org/10.1097/TXD.0000000000001397 Text en Copyright © 2022 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/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) (https://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 Frölke, Sophie C. Bouwmans, Pim Messchendorp, A. Lianne Geerlings, Suzanne E. Hemmelder, Marc H. Gansevoort, Ron T. Hilbrands, Luuk B. Reinders, Marlies E.J. Sanders, Jan-Stephan F. Bemelman, Frederike J. Peters-Sengers, Hessel Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title | Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title_full | Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title_fullStr | Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title_full_unstemmed | Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title_short | Predictors of Nonseroconversion to SARS-CoV-2 Vaccination in Kidney Transplant Recipients |
title_sort | predictors of nonseroconversion to sars-cov-2 vaccination in kidney transplant recipients |
topic | Kidney Transplantation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553374/ https://www.ncbi.nlm.nih.gov/pubmed/36245996 http://dx.doi.org/10.1097/TXD.0000000000001397 |
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