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Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database

BACKGROUND: Inflammation underlies both the pathogenesis and prognosis in patients with acute aortic dissection (AAD). This study aimed to assess the association of ICU admission of white blood cell count (WBCc) with post-discharge mortality in these patients. METHODS: Clinical data were extracted f...

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Autores principales: Zhang, Chiyuan, Fu, Zuli, Bai, Hui, Lin, Guoqiang, Shi, Ruizheng, Chen, Xuliang, Xu, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466640/
https://www.ncbi.nlm.nih.gov/pubmed/34563109
http://dx.doi.org/10.1186/s12872-021-02275-0
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author Zhang, Chiyuan
Fu, Zuli
Bai, Hui
Lin, Guoqiang
Shi, Ruizheng
Chen, Xuliang
Xu, Qian
author_facet Zhang, Chiyuan
Fu, Zuli
Bai, Hui
Lin, Guoqiang
Shi, Ruizheng
Chen, Xuliang
Xu, Qian
author_sort Zhang, Chiyuan
collection PubMed
description BACKGROUND: Inflammation underlies both the pathogenesis and prognosis in patients with acute aortic dissection (AAD). This study aimed to assess the association of ICU admission of white blood cell count (WBCc) with post-discharge mortality in these patients. METHODS: Clinical data were extracted from the MIMIC-III V1.4 database. After adjusted to covariables, Cox regression analysis and Kaplan–Meier survival curve were performed to determine the relationship between WBCc on admission and post-discharge mortality (30-day, 90-day, 1-year and 5-year) in AAD patients. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were used to test the performance of WBCc in predicting mortality in AAD patients. RESULTS: A total of 325 eligible patients were divided into 2 groups: normal-WBCc group (≤ 11 k/uL) and high-WBCc group (> 11 K/uL). In univariate Cox regression analysis, high WBCc was significant risk predictor of 30-day, 90-day, 1-year and 5-year mortality [hazard ratio (HR), 95% CI, P 2.58 1.36–4.91 0.004; 3.16 1.76–5.70 0.000; 2.74 1.57–4.79 0.000; 2.10 1.23–3.54 0.006]. After adjusting for age and other risks, high WBCc remained a significant predictor of 30-day, 90-day and 1-year mortality in AAD patients (HR, 95% CI, P 1.994 1.058–3.76 0.033; 2.118 1.175–3.819 0.013; 2.37 1.343–4.181 0.003). The area under ROC curve of WBCc for predicting 30-day, 90-day, 1-year and 5-year mortality were 0.69, 0.70, 0.66 and 0.61, respectively. The results from subgroups analysis showed that there was no interaction in most strata and patients who were younger than 69 years of age or had history of respiratory disease with an elevated WBCc had an excess risk of 30-day mortality (HR, 95% CI, P 3.18 1.41–7.14 0.005; 3.84 1.05–14.13 0.043). CONCLUSIONS: Higher than normal WBCc on admission may predict post-discharge mortality in patients with AAD.
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spelling pubmed-84666402021-09-27 Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database Zhang, Chiyuan Fu, Zuli Bai, Hui Lin, Guoqiang Shi, Ruizheng Chen, Xuliang Xu, Qian BMC Cardiovasc Disord Research BACKGROUND: Inflammation underlies both the pathogenesis and prognosis in patients with acute aortic dissection (AAD). This study aimed to assess the association of ICU admission of white blood cell count (WBCc) with post-discharge mortality in these patients. METHODS: Clinical data were extracted from the MIMIC-III V1.4 database. After adjusted to covariables, Cox regression analysis and Kaplan–Meier survival curve were performed to determine the relationship between WBCc on admission and post-discharge mortality (30-day, 90-day, 1-year and 5-year) in AAD patients. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were used to test the performance of WBCc in predicting mortality in AAD patients. RESULTS: A total of 325 eligible patients were divided into 2 groups: normal-WBCc group (≤ 11 k/uL) and high-WBCc group (> 11 K/uL). In univariate Cox regression analysis, high WBCc was significant risk predictor of 30-day, 90-day, 1-year and 5-year mortality [hazard ratio (HR), 95% CI, P 2.58 1.36–4.91 0.004; 3.16 1.76–5.70 0.000; 2.74 1.57–4.79 0.000; 2.10 1.23–3.54 0.006]. After adjusting for age and other risks, high WBCc remained a significant predictor of 30-day, 90-day and 1-year mortality in AAD patients (HR, 95% CI, P 1.994 1.058–3.76 0.033; 2.118 1.175–3.819 0.013; 2.37 1.343–4.181 0.003). The area under ROC curve of WBCc for predicting 30-day, 90-day, 1-year and 5-year mortality were 0.69, 0.70, 0.66 and 0.61, respectively. The results from subgroups analysis showed that there was no interaction in most strata and patients who were younger than 69 years of age or had history of respiratory disease with an elevated WBCc had an excess risk of 30-day mortality (HR, 95% CI, P 3.18 1.41–7.14 0.005; 3.84 1.05–14.13 0.043). CONCLUSIONS: Higher than normal WBCc on admission may predict post-discharge mortality in patients with AAD. BioMed Central 2021-09-25 /pmc/articles/PMC8466640/ /pubmed/34563109 http://dx.doi.org/10.1186/s12872-021-02275-0 Text en © The Author(s) 2021 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
Zhang, Chiyuan
Fu, Zuli
Bai, Hui
Lin, Guoqiang
Shi, Ruizheng
Chen, Xuliang
Xu, Qian
Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title_full Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title_fullStr Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title_full_unstemmed Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title_short Admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the MIMIC-III database
title_sort admission white blood cell count predicts post-discharge mortality in patients with acute aortic dissection: data from the mimic-iii database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466640/
https://www.ncbi.nlm.nih.gov/pubmed/34563109
http://dx.doi.org/10.1186/s12872-021-02275-0
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