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Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates
Despite comprehensive multidisciplinary candidacy assessments to determine appropriateness for solid organ transplantation, limitations persist in identifying candidates at risk of adverse outcomes. Frailty measures may help inform candidacy evaluation. Our main objective was to create a solid organ...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183975/ https://www.ncbi.nlm.nih.gov/pubmed/34113716 http://dx.doi.org/10.1097/TXD.0000000000001094 |
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author | Varughese, Rhea A. Theou, Olga Li, Yanhong Huang, Xiaojin Chowdhury, Noori Famure, Olusegun Selzner, Nazia MacIver, Jane Mathur, Sunita Kim, S. Joseph Rockwood, Kenneth Singer, Lianne G. |
author_facet | Varughese, Rhea A. Theou, Olga Li, Yanhong Huang, Xiaojin Chowdhury, Noori Famure, Olusegun Selzner, Nazia MacIver, Jane Mathur, Sunita Kim, S. Joseph Rockwood, Kenneth Singer, Lianne G. |
author_sort | Varughese, Rhea A. |
collection | PubMed |
description | Despite comprehensive multidisciplinary candidacy assessments to determine appropriateness for solid organ transplantation, limitations persist in identifying candidates at risk of adverse outcomes. Frailty measures may help inform candidacy evaluation. Our main objective was to create a solid organ transplant frailty index (FI), using the cumulative deficits model, from data routinely collected during candidacy assessments. Secondary objectives included creating a social vulnerability index (SVI) from assessment data and evaluating associations between the FI and assessment, waitlist, and posttransplant outcomes. METHODS. In this retrospective cohort study of solid organ transplant candidates from Toronto General Hospital, cumulative deficits FI and SVI were created from data collected during candidacy evaluations for consecutive kidney, heart, liver, and lung transplant candidates. Regression modeling measured associations between the FI and transplant listing, death or removal from the transplant waitlist, and survival after waitlist placement. RESULTS. For 794 patients, 40 variable FI and 10 variable SVI were created (258 lung, 222 kidney, 201 liver, and 113 heart transplant candidates). The FI correlated with assessment outcomes; patients with medical contraindications (mean FI 0.35 ± 0.10) had higher FI scores than those listed (0.29 ± 0.09), P < 0.001. For listed patients, adjusted for age, sex, transplant type, and SVI, higher FI was associated with an increased risk of death (pretransplant or posttransplant) or delisting (hazard ratio 1.03 per 0.01 FI score, 95% confidence interval, 1.01-1.05, P = 0.01). CONCLUSIONS. A cumulative deficits FI can be derived from routine organ transplant candidacy evaluations and may identify candidates at higher risk of adverse outcomes. |
format | Online Article Text |
id | pubmed-8183975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-81839752021-06-09 Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates Varughese, Rhea A. Theou, Olga Li, Yanhong Huang, Xiaojin Chowdhury, Noori Famure, Olusegun Selzner, Nazia MacIver, Jane Mathur, Sunita Kim, S. Joseph Rockwood, Kenneth Singer, Lianne G. Transplant Direct Clinical Method Despite comprehensive multidisciplinary candidacy assessments to determine appropriateness for solid organ transplantation, limitations persist in identifying candidates at risk of adverse outcomes. Frailty measures may help inform candidacy evaluation. Our main objective was to create a solid organ transplant frailty index (FI), using the cumulative deficits model, from data routinely collected during candidacy assessments. Secondary objectives included creating a social vulnerability index (SVI) from assessment data and evaluating associations between the FI and assessment, waitlist, and posttransplant outcomes. METHODS. In this retrospective cohort study of solid organ transplant candidates from Toronto General Hospital, cumulative deficits FI and SVI were created from data collected during candidacy evaluations for consecutive kidney, heart, liver, and lung transplant candidates. Regression modeling measured associations between the FI and transplant listing, death or removal from the transplant waitlist, and survival after waitlist placement. RESULTS. For 794 patients, 40 variable FI and 10 variable SVI were created (258 lung, 222 kidney, 201 liver, and 113 heart transplant candidates). The FI correlated with assessment outcomes; patients with medical contraindications (mean FI 0.35 ± 0.10) had higher FI scores than those listed (0.29 ± 0.09), P < 0.001. For listed patients, adjusted for age, sex, transplant type, and SVI, higher FI was associated with an increased risk of death (pretransplant or posttransplant) or delisting (hazard ratio 1.03 per 0.01 FI score, 95% confidence interval, 1.01-1.05, P = 0.01). CONCLUSIONS. A cumulative deficits FI can be derived from routine organ transplant candidacy evaluations and may identify candidates at higher risk of adverse outcomes. Lippincott Williams & Wilkins 2021-02-22 /pmc/articles/PMC8183975/ /pubmed/34113716 http://dx.doi.org/10.1097/TXD.0000000000001094 Text en Copyright © 2021 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 | Clinical Method Varughese, Rhea A. Theou, Olga Li, Yanhong Huang, Xiaojin Chowdhury, Noori Famure, Olusegun Selzner, Nazia MacIver, Jane Mathur, Sunita Kim, S. Joseph Rockwood, Kenneth Singer, Lianne G. Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title | Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title_full | Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title_fullStr | Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title_full_unstemmed | Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title_short | Cumulative Deficits Frailty Index Predicts Outcomes for Solid Organ Transplant Candidates |
title_sort | cumulative deficits frailty index predicts outcomes for solid organ transplant candidates |
topic | Clinical Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183975/ https://www.ncbi.nlm.nih.gov/pubmed/34113716 http://dx.doi.org/10.1097/TXD.0000000000001094 |
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