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Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients

BACKGROUND: The aim of this study was to evaluate a series of blood count inflammation indexes in predicting anastomotic leakage (AL) in elective colorectal surgery. METHODS: Demographic, pathologic, and clinical data of 1432 consecutive patients submitted to colorectal surgery in eight surgical cen...

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Autores principales: Paliogiannis, Panagiotis, Deidda, Simona, Maslyankov, Svilen, Paycheva, Tsvetelina, Farag, Ahmed, Mashhour, Abdrabou, Misiakos, Evangelos, Papakonstantinou, Dimitrios, Mik, Michal, Losinska, Joanna, Scognamillo, Fabrizio, Sanna, Fabio, Feo, Claudio Francesco, Cherchi, Giuseppe, Xidas, Andreas, Zinellu, Angelo, Restivo, Angelo, Zorcolo, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204308/
https://www.ncbi.nlm.nih.gov/pubmed/32375770
http://dx.doi.org/10.1186/s12957-020-01856-1
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author Paliogiannis, Panagiotis
Deidda, Simona
Maslyankov, Svilen
Paycheva, Tsvetelina
Farag, Ahmed
Mashhour, Abdrabou
Misiakos, Evangelos
Papakonstantinou, Dimitrios
Mik, Michal
Losinska, Joanna
Scognamillo, Fabrizio
Sanna, Fabio
Feo, Claudio Francesco
Cherchi, Giuseppe
Xidas, Andreas
Zinellu, Angelo
Restivo, Angelo
Zorcolo, Luigi
author_facet Paliogiannis, Panagiotis
Deidda, Simona
Maslyankov, Svilen
Paycheva, Tsvetelina
Farag, Ahmed
Mashhour, Abdrabou
Misiakos, Evangelos
Papakonstantinou, Dimitrios
Mik, Michal
Losinska, Joanna
Scognamillo, Fabrizio
Sanna, Fabio
Feo, Claudio Francesco
Cherchi, Giuseppe
Xidas, Andreas
Zinellu, Angelo
Restivo, Angelo
Zorcolo, Luigi
author_sort Paliogiannis, Panagiotis
collection PubMed
description BACKGROUND: The aim of this study was to evaluate a series of blood count inflammation indexes in predicting anastomotic leakage (AL) in elective colorectal surgery. METHODS: Demographic, pathologic, and clinical data of 1432 consecutive patients submitted to colorectal surgery in eight surgical centers were retrospectively evaluated. The neutrophil to lymphocyte (NLR), derived neutrophil to lymphocyte (dNLR), lymphocyte to monocyte (LMR), and platelet to lymphocyte (PLR) ratios were calculated before surgery and on the 1st and 4th postoperative days, in patients with or without AL. RESULTS: There were 106 patients with AL (65 males, mean age 67.4 years). The NLR, dNLR, and PLR were significantly higher in patients with AL in comparison to those without, on both the 1st and 4th postoperative days, but significance was greater on the 4th postoperative day. An NLR cutoff value of 7.1 on this day showed the best area under the curve (AUC 0.744; 95% CI 0.719–0.768) in predicting AL. CONCLUSIONS: Among the blood cell indexes of inflammation evaluated, NLR on the 4th postoperative day showed the best ability to predict AL. NLR is a low cost, easy to perform, and widely available index, which might be potentially used in clinical practice as a predictor of AL in patients undergoing elective colorectal surgery.
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spelling pubmed-72043082020-05-14 Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients Paliogiannis, Panagiotis Deidda, Simona Maslyankov, Svilen Paycheva, Tsvetelina Farag, Ahmed Mashhour, Abdrabou Misiakos, Evangelos Papakonstantinou, Dimitrios Mik, Michal Losinska, Joanna Scognamillo, Fabrizio Sanna, Fabio Feo, Claudio Francesco Cherchi, Giuseppe Xidas, Andreas Zinellu, Angelo Restivo, Angelo Zorcolo, Luigi World J Surg Oncol Research BACKGROUND: The aim of this study was to evaluate a series of blood count inflammation indexes in predicting anastomotic leakage (AL) in elective colorectal surgery. METHODS: Demographic, pathologic, and clinical data of 1432 consecutive patients submitted to colorectal surgery in eight surgical centers were retrospectively evaluated. The neutrophil to lymphocyte (NLR), derived neutrophil to lymphocyte (dNLR), lymphocyte to monocyte (LMR), and platelet to lymphocyte (PLR) ratios were calculated before surgery and on the 1st and 4th postoperative days, in patients with or without AL. RESULTS: There were 106 patients with AL (65 males, mean age 67.4 years). The NLR, dNLR, and PLR were significantly higher in patients with AL in comparison to those without, on both the 1st and 4th postoperative days, but significance was greater on the 4th postoperative day. An NLR cutoff value of 7.1 on this day showed the best area under the curve (AUC 0.744; 95% CI 0.719–0.768) in predicting AL. CONCLUSIONS: Among the blood cell indexes of inflammation evaluated, NLR on the 4th postoperative day showed the best ability to predict AL. NLR is a low cost, easy to perform, and widely available index, which might be potentially used in clinical practice as a predictor of AL in patients undergoing elective colorectal surgery. BioMed Central 2020-05-06 /pmc/articles/PMC7204308/ /pubmed/32375770 http://dx.doi.org/10.1186/s12957-020-01856-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Paliogiannis, Panagiotis
Deidda, Simona
Maslyankov, Svilen
Paycheva, Tsvetelina
Farag, Ahmed
Mashhour, Abdrabou
Misiakos, Evangelos
Papakonstantinou, Dimitrios
Mik, Michal
Losinska, Joanna
Scognamillo, Fabrizio
Sanna, Fabio
Feo, Claudio Francesco
Cherchi, Giuseppe
Xidas, Andreas
Zinellu, Angelo
Restivo, Angelo
Zorcolo, Luigi
Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title_full Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title_fullStr Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title_full_unstemmed Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title_short Blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
title_sort blood cell count indexes as predictors of anastomotic leakage in elective colorectal surgery: a multicenter study on 1432 patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7204308/
https://www.ncbi.nlm.nih.gov/pubmed/32375770
http://dx.doi.org/10.1186/s12957-020-01856-1
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