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Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis

BACKGROUND: Generally, lactate levels > 2 mmol/L represent hyperlactatemia, whereas lactic acidosis is often defined as lactate > 4 mmol/L. Although hyperlactatemia is common finding in liver transplant (LT) candidates, association between lactate and organ failures with Acute-on-chronic Liver...

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Autores principales: Cheong, Yuseon, Lee, Sangho, Lee, Do-Kyeong, Kim, Kyoung-Sun, Sang, Bo-Hyun, Hwang, Gyu-Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Anesthesiologists 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828623/
https://www.ncbi.nlm.nih.gov/pubmed/35139616
http://dx.doi.org/10.17085/apm.21049
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author Cheong, Yuseon
Lee, Sangho
Lee, Do-Kyeong
Kim, Kyoung-Sun
Sang, Bo-Hyun
Hwang, Gyu-Sam
author_facet Cheong, Yuseon
Lee, Sangho
Lee, Do-Kyeong
Kim, Kyoung-Sun
Sang, Bo-Hyun
Hwang, Gyu-Sam
author_sort Cheong, Yuseon
collection PubMed
description BACKGROUND: Generally, lactate levels > 2 mmol/L represent hyperlactatemia, whereas lactic acidosis is often defined as lactate > 4 mmol/L. Although hyperlactatemia is common finding in liver transplant (LT) candidates, association between lactate and organ failures with Acute-on-chronic Liver Failure (ACLF) is poorly studied. We searched the important variables for pre-LT hyperlactatemia and examined the impact of preoperative hyperlactatemia on early mortality after LT. METHODS: A total of 2,002 patients from LT registry between January 2008 and February 2019 were analyzed. Six organ failures (liver, kidney, brain, coagulation, circulation, and lung) were defined by criteria of EASL-CLIF ACLF Consortium. Variable importance of preoperative hyperlactatemia was examined by machine learning using random survival forest (RSF). Kaplan-Meier Survival curve analysis was performed to assess 90-day mortality. RESULTS: Median lactate level was 1.9 mmol/L (interquartile range: 1.4, 2.4 mmol/L) and 107 (5.3%) patients showed > 4.0 mmol/L. RSF analysis revealed that the four most important variables for hyperlactatemia were MELD score, circulatory failure, hemoglobin, and respiratory failure. The 30-day and 90-day mortality rates were 2.7% and 5.1%, whereas patients with lactate > 4.0 mmol/L showed increased rate of 15.0% and 19.6%, respectively. CONCLUSION: About 50% and 5% of LT candidates showed pre-LT hyperlactatemia of > 2.0 mmol/L and > 4.0 mmol/L, respectively. Pre-LT lactate > 4.0 mmol/L was associated with increased early post-LT mortality. Our results suggest that future study of correcting modifiable risk factors may play a role in preventing hyperlactatemia and lowering early mortality after LT.
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spelling pubmed-88286232022-02-18 Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis Cheong, Yuseon Lee, Sangho Lee, Do-Kyeong Kim, Kyoung-Sun Sang, Bo-Hyun Hwang, Gyu-Sam Anesth Pain Med (Seoul) Transplantation Anesthesia BACKGROUND: Generally, lactate levels > 2 mmol/L represent hyperlactatemia, whereas lactic acidosis is often defined as lactate > 4 mmol/L. Although hyperlactatemia is common finding in liver transplant (LT) candidates, association between lactate and organ failures with Acute-on-chronic Liver Failure (ACLF) is poorly studied. We searched the important variables for pre-LT hyperlactatemia and examined the impact of preoperative hyperlactatemia on early mortality after LT. METHODS: A total of 2,002 patients from LT registry between January 2008 and February 2019 were analyzed. Six organ failures (liver, kidney, brain, coagulation, circulation, and lung) were defined by criteria of EASL-CLIF ACLF Consortium. Variable importance of preoperative hyperlactatemia was examined by machine learning using random survival forest (RSF). Kaplan-Meier Survival curve analysis was performed to assess 90-day mortality. RESULTS: Median lactate level was 1.9 mmol/L (interquartile range: 1.4, 2.4 mmol/L) and 107 (5.3%) patients showed > 4.0 mmol/L. RSF analysis revealed that the four most important variables for hyperlactatemia were MELD score, circulatory failure, hemoglobin, and respiratory failure. The 30-day and 90-day mortality rates were 2.7% and 5.1%, whereas patients with lactate > 4.0 mmol/L showed increased rate of 15.0% and 19.6%, respectively. CONCLUSION: About 50% and 5% of LT candidates showed pre-LT hyperlactatemia of > 2.0 mmol/L and > 4.0 mmol/L, respectively. Pre-LT lactate > 4.0 mmol/L was associated with increased early post-LT mortality. Our results suggest that future study of correcting modifiable risk factors may play a role in preventing hyperlactatemia and lowering early mortality after LT. Korean Society of Anesthesiologists 2021-10-30 2021-10-14 /pmc/articles/PMC8828623/ /pubmed/35139616 http://dx.doi.org/10.17085/apm.21049 Text en Copyright © the Korean Society of Anesthesiologists, 2021 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
Cheong, Yuseon
Lee, Sangho
Lee, Do-Kyeong
Kim, Kyoung-Sun
Sang, Bo-Hyun
Hwang, Gyu-Sam
Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title_full Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title_fullStr Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title_full_unstemmed Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title_short Preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
title_sort preoperative hyperlactatemia and early mortality after liver transplantation: selection of important variables using random forest survival analysis
topic Transplantation Anesthesia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828623/
https://www.ncbi.nlm.nih.gov/pubmed/35139616
http://dx.doi.org/10.17085/apm.21049
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