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Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting

BACKGROUND: Red blood cell distribution width (RDW) is highly associated with adverse clinical outcomes in many diseases. The present study aimed to evaluate the relationship between RDW and gastrointestinal bleeding (GIB) after isolated coronary artery bypass grafting (CABG). METHODS: This was a re...

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Autores principales: Liao, Ying, Zhang, Rongting, Shi, Shanshan, Lin, Xueqin, Wang, Yani, Wang, Yun, Chen, Weihua, Zhao, Yukun, Bao, Kunming, Zhang, Kaijun, Chen, Liling, Fang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540710/
https://www.ncbi.nlm.nih.gov/pubmed/36203150
http://dx.doi.org/10.1186/s12872-022-02875-4
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author Liao, Ying
Zhang, Rongting
Shi, Shanshan
Lin, Xueqin
Wang, Yani
Wang, Yun
Chen, Weihua
Zhao, Yukun
Bao, Kunming
Zhang, Kaijun
Chen, Liling
Fang, Yong
author_facet Liao, Ying
Zhang, Rongting
Shi, Shanshan
Lin, Xueqin
Wang, Yani
Wang, Yun
Chen, Weihua
Zhao, Yukun
Bao, Kunming
Zhang, Kaijun
Chen, Liling
Fang, Yong
author_sort Liao, Ying
collection PubMed
description BACKGROUND: Red blood cell distribution width (RDW) is highly associated with adverse clinical outcomes in many diseases. The present study aimed to evaluate the relationship between RDW and gastrointestinal bleeding (GIB) after isolated coronary artery bypass grafting (CABG). METHODS: This was a retrospective observational study that included 4473 patients who received CABG, and all the data were extracted from the Medical Information Mart for Intensive Care III database. Data collected included patient demographics, associated comorbid illnesses, laboratory parameters, and medications. The receiver operating characteristic (ROC) curve was used to determine the best cutoff value of RDW for the diagnosis of GIB. Multivariable logistic regression analysis was used to analyze the relationship between RDW and GIB. RESULTS: The incidence of GIB in patients receiving CABG was 1.1%. Quartile analyses showed a significant increase in GIB incidence at the fourth RDW quartile (> 14.3%; P < 0.001). The ROC curve analysis revealed that an RDW level > 14.1% measured on admission had 59.6% sensitivity and 69.4% specificity in predicting GIB after CABG. After adjustment for confounders, high RDW was still associated with an increased risk of GIB in patients with CABG (odds ratio = 2.83, 95% confidence interval 1.46–5.51, P = 0.002). CONCLUSIONS: Our study indicates that the elevated RDW level is associated with an increased risk of GIB after CABG, and it can be an independent predictor of GIB. The introduction of RDW to study GIB enriches the diagnosis method of GIB and ensures the rapid and accurate diagnosis of GIB.
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spelling pubmed-95407102022-10-08 Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting Liao, Ying Zhang, Rongting Shi, Shanshan Lin, Xueqin Wang, Yani Wang, Yun Chen, Weihua Zhao, Yukun Bao, Kunming Zhang, Kaijun Chen, Liling Fang, Yong BMC Cardiovasc Disord Research BACKGROUND: Red blood cell distribution width (RDW) is highly associated with adverse clinical outcomes in many diseases. The present study aimed to evaluate the relationship between RDW and gastrointestinal bleeding (GIB) after isolated coronary artery bypass grafting (CABG). METHODS: This was a retrospective observational study that included 4473 patients who received CABG, and all the data were extracted from the Medical Information Mart for Intensive Care III database. Data collected included patient demographics, associated comorbid illnesses, laboratory parameters, and medications. The receiver operating characteristic (ROC) curve was used to determine the best cutoff value of RDW for the diagnosis of GIB. Multivariable logistic regression analysis was used to analyze the relationship between RDW and GIB. RESULTS: The incidence of GIB in patients receiving CABG was 1.1%. Quartile analyses showed a significant increase in GIB incidence at the fourth RDW quartile (> 14.3%; P < 0.001). The ROC curve analysis revealed that an RDW level > 14.1% measured on admission had 59.6% sensitivity and 69.4% specificity in predicting GIB after CABG. After adjustment for confounders, high RDW was still associated with an increased risk of GIB in patients with CABG (odds ratio = 2.83, 95% confidence interval 1.46–5.51, P = 0.002). CONCLUSIONS: Our study indicates that the elevated RDW level is associated with an increased risk of GIB after CABG, and it can be an independent predictor of GIB. The introduction of RDW to study GIB enriches the diagnosis method of GIB and ensures the rapid and accurate diagnosis of GIB. BioMed Central 2022-10-06 /pmc/articles/PMC9540710/ /pubmed/36203150 http://dx.doi.org/10.1186/s12872-022-02875-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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
Liao, Ying
Zhang, Rongting
Shi, Shanshan
Lin, Xueqin
Wang, Yani
Wang, Yun
Chen, Weihua
Zhao, Yukun
Bao, Kunming
Zhang, Kaijun
Chen, Liling
Fang, Yong
Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title_full Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title_fullStr Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title_full_unstemmed Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title_short Red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
title_sort red blood cell distribution width predicts gastrointestinal bleeding after coronary artery bypass grafting
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540710/
https://www.ncbi.nlm.nih.gov/pubmed/36203150
http://dx.doi.org/10.1186/s12872-022-02875-4
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