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Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems
This study aimed to determine whether nonalcoholic fatty liver disease (NAFLD) is an independent risk factor for CVD and to identify the most useful NAFLD diagnostic tool for predicting CVD. Data from a total of 23,376 Korean adults without established CVD were analyzed. Cardiovascular risk was calc...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303122/ https://www.ncbi.nlm.nih.gov/pubmed/34356275 http://dx.doi.org/10.3390/healthcare9070899 |
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author | Kweon, Ye-Na Ko, Hae-Jin Kim, A-Sol Choi, Hye-In Song, Ji-Eun Park, Ji-Yeon Kim, Sung-Min Hong, Hee-Eun Min, Kyung-Jin |
author_facet | Kweon, Ye-Na Ko, Hae-Jin Kim, A-Sol Choi, Hye-In Song, Ji-Eun Park, Ji-Yeon Kim, Sung-Min Hong, Hee-Eun Min, Kyung-Jin |
author_sort | Kweon, Ye-Na |
collection | PubMed |
description | This study aimed to determine whether nonalcoholic fatty liver disease (NAFLD) is an independent risk factor for CVD and to identify the most useful NAFLD diagnostic tool for predicting CVD. Data from a total of 23,376 Korean adults without established CVD were analyzed. Cardiovascular risk was calculated using the Framingham Risk Score (FRS) 2008. The presence of NAFLD was defined as moderate-to-severe fatty liver disease diagnosed by ultrasonography. Scores for fatty liver were calculated using four NAFLD scoring systems (Fatty Liver Index, FLI; Hepatic Steatosis Index, HSI; Simple NAFLD Score, SNS; Comprehensive NAFLD Score, CNS), and were compared and analyzed according to cardiovascular risk group. Using the FRS, 67.4% of participants were considered to be at low risk of CVD, 21.5% at intermediate risk, and 11.1% at high risk. As the risk of CVD increased, both the prevalence of NAFLD and the score from each NAFLD scoring system increased significantly (p < 0.001). In the unadjusted analysis, the CNS had the strongest association with high CVD risk; in the adjusted analysis, the FLI score was most strongly associated with high CVD risk. Fatty liver is an important independent risk factor for CVD. Therefore, the available NAFLD scoring systems could be utilized to predict CVD. |
format | Online Article Text |
id | pubmed-8303122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83031222021-07-25 Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems Kweon, Ye-Na Ko, Hae-Jin Kim, A-Sol Choi, Hye-In Song, Ji-Eun Park, Ji-Yeon Kim, Sung-Min Hong, Hee-Eun Min, Kyung-Jin Healthcare (Basel) Article This study aimed to determine whether nonalcoholic fatty liver disease (NAFLD) is an independent risk factor for CVD and to identify the most useful NAFLD diagnostic tool for predicting CVD. Data from a total of 23,376 Korean adults without established CVD were analyzed. Cardiovascular risk was calculated using the Framingham Risk Score (FRS) 2008. The presence of NAFLD was defined as moderate-to-severe fatty liver disease diagnosed by ultrasonography. Scores for fatty liver were calculated using four NAFLD scoring systems (Fatty Liver Index, FLI; Hepatic Steatosis Index, HSI; Simple NAFLD Score, SNS; Comprehensive NAFLD Score, CNS), and were compared and analyzed according to cardiovascular risk group. Using the FRS, 67.4% of participants were considered to be at low risk of CVD, 21.5% at intermediate risk, and 11.1% at high risk. As the risk of CVD increased, both the prevalence of NAFLD and the score from each NAFLD scoring system increased significantly (p < 0.001). In the unadjusted analysis, the CNS had the strongest association with high CVD risk; in the adjusted analysis, the FLI score was most strongly associated with high CVD risk. Fatty liver is an important independent risk factor for CVD. Therefore, the available NAFLD scoring systems could be utilized to predict CVD. MDPI 2021-07-15 /pmc/articles/PMC8303122/ /pubmed/34356275 http://dx.doi.org/10.3390/healthcare9070899 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kweon, Ye-Na Ko, Hae-Jin Kim, A-Sol Choi, Hye-In Song, Ji-Eun Park, Ji-Yeon Kim, Sung-Min Hong, Hee-Eun Min, Kyung-Jin Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title | Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title_full | Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title_fullStr | Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title_full_unstemmed | Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title_short | Prediction of Cardiovascular Risk Using Nonalcoholic Fatty Liver Disease Scoring Systems |
title_sort | prediction of cardiovascular risk using nonalcoholic fatty liver disease scoring systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303122/ https://www.ncbi.nlm.nih.gov/pubmed/34356275 http://dx.doi.org/10.3390/healthcare9070899 |
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