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C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation

BACKGROUND: Considering the importance of the inflammatory status of recipients on outcomes following liver transplantation (LT), we investigated the association between C-reactive protein–to–albumin ratio (CAR) and one-year mortality following LT and compared it with other parameters reflecting pat...

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Autores principales: Kim, Kyoung-Sun, Kwon, Hye-Mee, Kim, Jae Hwan, Yang, Ji-Woong, Jun, In-Gu, Song, Jun-Gol, Hwang, Gyu-Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Anesthesiologists 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663950/
https://www.ncbi.nlm.nih.gov/pubmed/36317435
http://dx.doi.org/10.17085/apm.22176
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author Kim, Kyoung-Sun
Kwon, Hye-Mee
Kim, Jae Hwan
Yang, Ji-Woong
Jun, In-Gu
Song, Jun-Gol
Hwang, Gyu-Sam
author_facet Kim, Kyoung-Sun
Kwon, Hye-Mee
Kim, Jae Hwan
Yang, Ji-Woong
Jun, In-Gu
Song, Jun-Gol
Hwang, Gyu-Sam
author_sort Kim, Kyoung-Sun
collection PubMed
description BACKGROUND: Considering the importance of the inflammatory status of recipients on outcomes following liver transplantation (LT), we investigated the association between C-reactive protein–to–albumin ratio (CAR) and one-year mortality following LT and compared it with other parameters reflecting patients’ underlying inflammatory status. METHODS: A total of 3,614 consecutive adult LT recipients were retrospectively evaluated. Prognostic parameters were analyzed using area under the receiver operating characteristic curve (AUROC) analysis, and subsequent cutoffs were derived. For survival analysis, Cox proportional hazards and Kaplan–Meier analyses were performed. RESULTS: The AUROC for CAR to predict one-year mortality after LT was 0.68 (0.65–0.72), which was the highest compared with other inflammatory parameters, with the best cutoff of 0.34. A CAR ≥ 0.34 was associated with a significantly higher one-year mortality rate (13.3% vs. 5.8 %, log-rank P < 0.001) and overall mortality rate (24.5% vs. 12.9%, log-rank P = 0.039). A CAR ≥ 0.34 was an independent predictor of one-year mortality (hazard ratio, 1.40 [1.03–1.90], P = 0.031) and overall mortality (hazard ratio 1.39 [1.13–1.71], P = 0.002) after multivariable adjustment. CONCLUSIONS: Preoperative CAR (≥ 0.34) was independently associated with a higher risk of one-year and overall mortality after LT. This may suggest that CAR, a simple and readily available biomarker, maybe a practical index that may assist in the risk stratification of liver transplantation outcomes.
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spelling pubmed-96639502022-11-28 C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation Kim, Kyoung-Sun Kwon, Hye-Mee Kim, Jae Hwan Yang, Ji-Woong Jun, In-Gu Song, Jun-Gol Hwang, Gyu-Sam Anesth Pain Med (Seoul) Transplantation Anesthesia BACKGROUND: Considering the importance of the inflammatory status of recipients on outcomes following liver transplantation (LT), we investigated the association between C-reactive protein–to–albumin ratio (CAR) and one-year mortality following LT and compared it with other parameters reflecting patients’ underlying inflammatory status. METHODS: A total of 3,614 consecutive adult LT recipients were retrospectively evaluated. Prognostic parameters were analyzed using area under the receiver operating characteristic curve (AUROC) analysis, and subsequent cutoffs were derived. For survival analysis, Cox proportional hazards and Kaplan–Meier analyses were performed. RESULTS: The AUROC for CAR to predict one-year mortality after LT was 0.68 (0.65–0.72), which was the highest compared with other inflammatory parameters, with the best cutoff of 0.34. A CAR ≥ 0.34 was associated with a significantly higher one-year mortality rate (13.3% vs. 5.8 %, log-rank P < 0.001) and overall mortality rate (24.5% vs. 12.9%, log-rank P = 0.039). A CAR ≥ 0.34 was an independent predictor of one-year mortality (hazard ratio, 1.40 [1.03–1.90], P = 0.031) and overall mortality (hazard ratio 1.39 [1.13–1.71], P = 0.002) after multivariable adjustment. CONCLUSIONS: Preoperative CAR (≥ 0.34) was independently associated with a higher risk of one-year and overall mortality after LT. This may suggest that CAR, a simple and readily available biomarker, maybe a practical index that may assist in the risk stratification of liver transplantation outcomes. Korean Society of Anesthesiologists 2022-10-31 2022-10-24 /pmc/articles/PMC9663950/ /pubmed/36317435 http://dx.doi.org/10.17085/apm.22176 Text en Copyright © the Korean Society of Anesthesiologists, 2022 https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Transplantation Anesthesia
Kim, Kyoung-Sun
Kwon, Hye-Mee
Kim, Jae Hwan
Yang, Ji-Woong
Jun, In-Gu
Song, Jun-Gol
Hwang, Gyu-Sam
C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title_full C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title_fullStr C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title_full_unstemmed C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title_short C-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
title_sort c-reactive protein–to–albumin ratio is a predictor of 1-year mortality following liver transplantation
topic Transplantation Anesthesia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9663950/
https://www.ncbi.nlm.nih.gov/pubmed/36317435
http://dx.doi.org/10.17085/apm.22176
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