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Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

BACKGROUND: As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and m...

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Autores principales: Arero, Godana, Arero, Amanuel Godana, Mohammed, Shimels Hussien, Vasheghani-Farahani, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125241/
https://www.ncbi.nlm.nih.gov/pubmed/35614981
http://dx.doi.org/10.3389/fnut.2022.850641
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author Arero, Godana
Arero, Amanuel Godana
Mohammed, Shimels Hussien
Vasheghani-Farahani, Ali
author_facet Arero, Godana
Arero, Amanuel Godana
Mohammed, Shimels Hussien
Vasheghani-Farahani, Ali
author_sort Arero, Godana
collection PubMed
description BACKGROUND: As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD). METHODS: Observational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase. RESULTS: Of 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I(2) = 0%), (1.53 [95% CI: 1.26–1.84], I(2) = 84%), and (2.24 [95% CI: 1.57–3.19], I(2) = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I(2) = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I(2) = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively. CONCLUSION: As defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes.
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spelling pubmed-91252412022-05-24 Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis Arero, Godana Arero, Amanuel Godana Mohammed, Shimels Hussien Vasheghani-Farahani, Ali Front Nutr Nutrition BACKGROUND: As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD). METHODS: Observational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase. RESULTS: Of 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I(2) = 0%), (1.53 [95% CI: 1.26–1.84], I(2) = 84%), and (2.24 [95% CI: 1.57–3.19], I(2) = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I(2) = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I(2) = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively. CONCLUSION: As defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes. Frontiers Media S.A. 2022-05-09 /pmc/articles/PMC9125241/ /pubmed/35614981 http://dx.doi.org/10.3389/fnut.2022.850641 Text en Copyright © 2022 Arero, Arero, Mohammed and Vasheghani-Farahani. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Arero, Godana
Arero, Amanuel Godana
Mohammed, Shimels Hussien
Vasheghani-Farahani, Ali
Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title_full Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title_fullStr Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title_full_unstemmed Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title_short Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis
title_sort prognostic potential of the controlling nutritional status (conut) score in predicting all-cause mortality and major adverse cardiovascular events in patients with coronary artery disease: a meta-analysis
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125241/
https://www.ncbi.nlm.nih.gov/pubmed/35614981
http://dx.doi.org/10.3389/fnut.2022.850641
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