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Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery
BACKGROUND: Electrocardiographic markers, as surrogates for sympathetic excitotoxicity, are widely predictive of cardiovascular adverse events, but whether these markers can predict postsurgical sepsis (SS) is unclear. METHODS: We retrospectively analyzed patients who underwent abdominal surgery fro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552407/ https://www.ncbi.nlm.nih.gov/pubmed/37794366 http://dx.doi.org/10.1186/s12872-023-03535-x |
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author | Xie, WeiXian Wu, LiXia Yang, MeiXing Luo, HongLi Li, Weichao Li, Heng |
author_facet | Xie, WeiXian Wu, LiXia Yang, MeiXing Luo, HongLi Li, Weichao Li, Heng |
author_sort | Xie, WeiXian |
collection | PubMed |
description | BACKGROUND: Electrocardiographic markers, as surrogates for sympathetic excitotoxicity, are widely predictive of cardiovascular adverse events, but whether these markers can predict postsurgical sepsis (SS) is unclear. METHODS: We retrospectively analyzed patients who underwent abdominal surgery from March 2013 to May 2023. We collected basic data, comorbidities, blood samples, echocardiology, electrocardiogram, and surgical data, as well as short-term outcome. The primary endpoints were postsurgical SS, in which logistic regression analyses can identify independent risk factors. The optimal cut-off value predictive postsurgical SS both P wave and PR interval were calculated in the receiver operating characteristic curve (ROC). RESULTS: A total of 1988 subjects were analyzed, and the incidence of postsurgical SS was 3.8%. The mean age at enrollment was 68.6 ± 7.1 years, and 53.2% of the participants were men. In the ROC analysis, the areas under the curve (AUC) for P wave and PR interval predictive postsurgical SS were 0.615 (95%CI, 0.548–0.683; p = 0.001) and 0.618 (95%CI, 0.554–0.682; p = 0.001), respectively. The P wave and PR interval predicted postoperative sepsis with optimal discrimination of 103 and 157 ms, with a sensitivity of 0.744 and 0.419, and a specificity of 0.427 and 0.760. P-wave less than 103 ms or PR interval less than 157 ms associated with a 2.06 or 2.33 fold increase occurred risk postsurgical SS. CONCLUSIONS: Shorter P-wave and PR intervals were both independently associated with postsurgical SS. These preoperative electrophysiological markers could have potential useful for early recognition of postoperative SS. |
format | Online Article Text |
id | pubmed-10552407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105524072023-10-06 Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery Xie, WeiXian Wu, LiXia Yang, MeiXing Luo, HongLi Li, Weichao Li, Heng BMC Cardiovasc Disord Research BACKGROUND: Electrocardiographic markers, as surrogates for sympathetic excitotoxicity, are widely predictive of cardiovascular adverse events, but whether these markers can predict postsurgical sepsis (SS) is unclear. METHODS: We retrospectively analyzed patients who underwent abdominal surgery from March 2013 to May 2023. We collected basic data, comorbidities, blood samples, echocardiology, electrocardiogram, and surgical data, as well as short-term outcome. The primary endpoints were postsurgical SS, in which logistic regression analyses can identify independent risk factors. The optimal cut-off value predictive postsurgical SS both P wave and PR interval were calculated in the receiver operating characteristic curve (ROC). RESULTS: A total of 1988 subjects were analyzed, and the incidence of postsurgical SS was 3.8%. The mean age at enrollment was 68.6 ± 7.1 years, and 53.2% of the participants were men. In the ROC analysis, the areas under the curve (AUC) for P wave and PR interval predictive postsurgical SS were 0.615 (95%CI, 0.548–0.683; p = 0.001) and 0.618 (95%CI, 0.554–0.682; p = 0.001), respectively. The P wave and PR interval predicted postoperative sepsis with optimal discrimination of 103 and 157 ms, with a sensitivity of 0.744 and 0.419, and a specificity of 0.427 and 0.760. P-wave less than 103 ms or PR interval less than 157 ms associated with a 2.06 or 2.33 fold increase occurred risk postsurgical SS. CONCLUSIONS: Shorter P-wave and PR intervals were both independently associated with postsurgical SS. These preoperative electrophysiological markers could have potential useful for early recognition of postoperative SS. BioMed Central 2023-10-04 /pmc/articles/PMC10552407/ /pubmed/37794366 http://dx.doi.org/10.1186/s12872-023-03535-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Xie, WeiXian Wu, LiXia Yang, MeiXing Luo, HongLi Li, Weichao Li, Heng Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title | Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title_full | Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title_fullStr | Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title_full_unstemmed | Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title_short | Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
title_sort | association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552407/ https://www.ncbi.nlm.nih.gov/pubmed/37794366 http://dx.doi.org/10.1186/s12872-023-03535-x |
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