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Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels
Background: The aim of our study was to analyze perioperative lactate levels and their predictive value for postoperative mortality and morbidity after liver resection. Methods: The clinicopathological characteristics and outcomes of 152 patients who underwent liver resection for benign and malign d...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051976/ https://www.ncbi.nlm.nih.gov/pubmed/36983103 http://dx.doi.org/10.3390/jcm12062100 |
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author | Recknagel, Sebastian Rademacher, Sebastian Höhne, Claudia Lederer, Andri A. Lange, Undine G. Herta, Toni Seehofer, Daniel Sucher, Robert Scheuermann, Uwe |
author_facet | Recknagel, Sebastian Rademacher, Sebastian Höhne, Claudia Lederer, Andri A. Lange, Undine G. Herta, Toni Seehofer, Daniel Sucher, Robert Scheuermann, Uwe |
author_sort | Recknagel, Sebastian |
collection | PubMed |
description | Background: The aim of our study was to analyze perioperative lactate levels and their predictive value for postoperative mortality and morbidity after liver resection. Methods: The clinicopathological characteristics and outcomes of 152 patients who underwent liver resection for benign and malign diagnoses were analyzed retrospectively. Lactate concentrations at three different time points, (1) before liver resection (LAC-PRE), (2) after liver resection on day 0 (LAC-POST), and (3) on day one after the operation (LAC-POD1) were assessed regarding the prognostic value in predicting postoperative complications and mortality according to the Clavien–Dindo (CD) classification. Results: The rates of postoperative complications (CD ≥ IIIb) and mortality rates were 19.7% (N = 30) and 4.6% (N = 7), respectively. The LAC-PRE levels showed no correlation with the postoperative outcome. The ROC curve analysis showed that LCT-POST and LCT-POD1 values were moderately strong in predicting postoperative morbidity (0.681 and 0.768, respectively) and had strong predictive accuracies regarding postoperative mortality (0.800 and 0.838, respectively). The multivariate analysis revealed LAC-POST as a significant predictor of postoperative complications (CD ≥ IIIb: OR 9.28; 95% CI: 2.88–29.9; p < 0.001) and mortality (OR 11.69; 95% CI: 1.76–77.7; p = 0.011). Conclusion: Early postoperative lactate levels are a useful and easily practicable predictor of postoperative morbidity and mortality in patients after liver resection. |
format | Online Article Text |
id | pubmed-10051976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100519762023-03-30 Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels Recknagel, Sebastian Rademacher, Sebastian Höhne, Claudia Lederer, Andri A. Lange, Undine G. Herta, Toni Seehofer, Daniel Sucher, Robert Scheuermann, Uwe J Clin Med Article Background: The aim of our study was to analyze perioperative lactate levels and their predictive value for postoperative mortality and morbidity after liver resection. Methods: The clinicopathological characteristics and outcomes of 152 patients who underwent liver resection for benign and malign diagnoses were analyzed retrospectively. Lactate concentrations at three different time points, (1) before liver resection (LAC-PRE), (2) after liver resection on day 0 (LAC-POST), and (3) on day one after the operation (LAC-POD1) were assessed regarding the prognostic value in predicting postoperative complications and mortality according to the Clavien–Dindo (CD) classification. Results: The rates of postoperative complications (CD ≥ IIIb) and mortality rates were 19.7% (N = 30) and 4.6% (N = 7), respectively. The LAC-PRE levels showed no correlation with the postoperative outcome. The ROC curve analysis showed that LCT-POST and LCT-POD1 values were moderately strong in predicting postoperative morbidity (0.681 and 0.768, respectively) and had strong predictive accuracies regarding postoperative mortality (0.800 and 0.838, respectively). The multivariate analysis revealed LAC-POST as a significant predictor of postoperative complications (CD ≥ IIIb: OR 9.28; 95% CI: 2.88–29.9; p < 0.001) and mortality (OR 11.69; 95% CI: 1.76–77.7; p = 0.011). Conclusion: Early postoperative lactate levels are a useful and easily practicable predictor of postoperative morbidity and mortality in patients after liver resection. MDPI 2023-03-07 /pmc/articles/PMC10051976/ /pubmed/36983103 http://dx.doi.org/10.3390/jcm12062100 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Recknagel, Sebastian Rademacher, Sebastian Höhne, Claudia Lederer, Andri A. Lange, Undine G. Herta, Toni Seehofer, Daniel Sucher, Robert Scheuermann, Uwe Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title | Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title_full | Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title_fullStr | Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title_full_unstemmed | Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title_short | Prediction of the Postoperative Outcome in Liver Resection Using Perioperative Serum Lactate Levels |
title_sort | prediction of the postoperative outcome in liver resection using perioperative serum lactate levels |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051976/ https://www.ncbi.nlm.nih.gov/pubmed/36983103 http://dx.doi.org/10.3390/jcm12062100 |
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