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Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome

The aim of this study is to evaluate if low prealbumin levels on admission predict subsequent adverse cardiac events in patients hospitalized with acute coronary syndrome (ACS). We designed a cohort study and enrolled 610 consecutive patients with ACS from whom venous blood for serum prealbumin meas...

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Autores principales: Wang, Wei, Wang, Chun-Song, Ren, Dong, Li, Tai, Yao, Heng-Chen, Ma, Sheng-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078736/
https://www.ncbi.nlm.nih.gov/pubmed/30045342
http://dx.doi.org/10.1097/MD.0000000000011740
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author Wang, Wei
Wang, Chun-Song
Ren, Dong
Li, Tai
Yao, Heng-Chen
Ma, Sheng-Jun
author_facet Wang, Wei
Wang, Chun-Song
Ren, Dong
Li, Tai
Yao, Heng-Chen
Ma, Sheng-Jun
author_sort Wang, Wei
collection PubMed
description The aim of this study is to evaluate if low prealbumin levels on admission predict subsequent adverse cardiac events in patients hospitalized with acute coronary syndrome (ACS). We designed a cohort study and enrolled 610 consecutive patients with ACS from whom venous blood for serum prealbumin measurement was drawn immediately upon hospital admission. Patients were classified in two groups according to prealbumin level: “normal” prealbumin levels (≥17 mg/dL, n=413) and “low” prealbumin (<17 mg/dL, n = 197). In-hospital adverse cardiac events were death, acute heart failure, reinfarction, and cardiogenic shock. Univariate and multivariable analyses were applied to evaluate the prediction value of low prealbumin. The incidence of in hospital adverse cardiac events is 10.8%. The proportion of adverse cardiac events was significantly higher in low prealbumin group as compared with normal prealbumin group (20.8% versus 6.1%, P < .001). Univariate analysis indicates that low prealbumin levels can predict in hospital adverse cardiac events (odds ratio [OR]: 0.834, 95% confidence interval [CI]: 0.785–0.886, P < .001). Multivariable analysis shows that low prealbumin level was an independent predictor for in hospital adverse cardiac events (adjusted OR: 0.918, 95% CI: 0.848–0.993, P = .033). Other independent predictors were lower in average hemoglobin level and Killip class II-IV on admission. Therefore, lower serum prealbumin levels on admission can independently predicts subsequent in hospital major adverse cardiac events in patients with ACS.
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spelling pubmed-60787362018-08-13 Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome Wang, Wei Wang, Chun-Song Ren, Dong Li, Tai Yao, Heng-Chen Ma, Sheng-Jun Medicine (Baltimore) Research Article The aim of this study is to evaluate if low prealbumin levels on admission predict subsequent adverse cardiac events in patients hospitalized with acute coronary syndrome (ACS). We designed a cohort study and enrolled 610 consecutive patients with ACS from whom venous blood for serum prealbumin measurement was drawn immediately upon hospital admission. Patients were classified in two groups according to prealbumin level: “normal” prealbumin levels (≥17 mg/dL, n=413) and “low” prealbumin (<17 mg/dL, n = 197). In-hospital adverse cardiac events were death, acute heart failure, reinfarction, and cardiogenic shock. Univariate and multivariable analyses were applied to evaluate the prediction value of low prealbumin. The incidence of in hospital adverse cardiac events is 10.8%. The proportion of adverse cardiac events was significantly higher in low prealbumin group as compared with normal prealbumin group (20.8% versus 6.1%, P < .001). Univariate analysis indicates that low prealbumin levels can predict in hospital adverse cardiac events (odds ratio [OR]: 0.834, 95% confidence interval [CI]: 0.785–0.886, P < .001). Multivariable analysis shows that low prealbumin level was an independent predictor for in hospital adverse cardiac events (adjusted OR: 0.918, 95% CI: 0.848–0.993, P = .033). Other independent predictors were lower in average hemoglobin level and Killip class II-IV on admission. Therefore, lower serum prealbumin levels on admission can independently predicts subsequent in hospital major adverse cardiac events in patients with ACS. Wolters Kluwer Health 2018-07-27 /pmc/articles/PMC6078736/ /pubmed/30045342 http://dx.doi.org/10.1097/MD.0000000000011740 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Research Article
Wang, Wei
Wang, Chun-Song
Ren, Dong
Li, Tai
Yao, Heng-Chen
Ma, Sheng-Jun
Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title_full Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title_fullStr Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title_full_unstemmed Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title_short Low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
title_sort low serum prealbumin levels on admission can independently predict in-hospital adverse cardiac events in patients with acute coronary syndrome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078736/
https://www.ncbi.nlm.nih.gov/pubmed/30045342
http://dx.doi.org/10.1097/MD.0000000000011740
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