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Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study
BACKGROUND: Variations in the prevalence and systemic inflammatory (SI) status between non-alcoholic fatty liver disease (NAFLD) and newly defined metabolic dysfunction-associated fatty liver disease (MAFLD) have only been reported by few studies. Hence, this study aimed to compile data on the preva...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613356/ https://www.ncbi.nlm.nih.gov/pubmed/37898739 http://dx.doi.org/10.1186/s12944-023-01947-4 |
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author | Liu, Qingdan Han, Meilan Li, Meilan Huang, Xiaoyin Feng, Ruimei Li, Wanxin Chen, Jun He, Haiying Zheng, Wenxin Hu, Zhijian Du, Shanshan Ye, Weimin |
author_facet | Liu, Qingdan Han, Meilan Li, Meilan Huang, Xiaoyin Feng, Ruimei Li, Wanxin Chen, Jun He, Haiying Zheng, Wenxin Hu, Zhijian Du, Shanshan Ye, Weimin |
author_sort | Liu, Qingdan |
collection | PubMed |
description | BACKGROUND: Variations in the prevalence and systemic inflammatory (SI) status between non-alcoholic fatty liver disease (NAFLD) and newly defined metabolic dysfunction-associated fatty liver disease (MAFLD) have only been reported by few studies. Hence, this study aimed to compile data on the prevalence and the systemic inflammation levels of MAFLD and NAFLD in a general population from Southeast China was summarized to explore the potential effect of the transformation of disease definition. METHODS: A total of 6718 general population participants aged 35–75 were enrolled. Logistic regression and restricted cubic spline (RCS) models were used to examine the relationship between 15 SI indicators and NAFLD and MAFLD. The predicted values of MAFLD and NAFLD were analyzed using the receiver operating characteristic (ROC) curve. RESULTS: The prevalence of MAFLD and NAFLD was 34.7% and 32.4%, respectively. Their overlapping rate was 89.7%, while only 8.3% and 1.9% of participants were MAFLD-only and NAFLD-only. Among three FLD groups, the MAFLD-only group had the highest levels of 8 SI indicators, including CRP, WBC, LYMPH, NEUT, MONO, ALB, NLR, and SIRI. The non-FLD group had the lower levels of all 15 SI indicators compared with all FLD subgroups. The odds ratios (ORs) of 10 SI indicators were significant in both multivariable-adjusted logistic regression and RCS analyses of MAFLD or NAFLD, including CRP, WBC, LYMPH, NEUT, MONO, ALB, PLR, LMR, ALI and CA. ROC analysis showed that the AUC values of all SI were lower than 0.7 in both MAFLD and NAFLD. CONCLUSIONS: MAFLD could cover more FLD than NAFLD, and the MAFLD-only group had a more severe inflammation status, whereas the NAFLD-only exhibited lower levels. Moreover, there was not a high AUC and a high sensitivity of SI indicators, suggesting that SI indicators are not good indicators to diagnose NAFLD/MAFLD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01947-4. |
format | Online Article Text |
id | pubmed-10613356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106133562023-10-30 Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study Liu, Qingdan Han, Meilan Li, Meilan Huang, Xiaoyin Feng, Ruimei Li, Wanxin Chen, Jun He, Haiying Zheng, Wenxin Hu, Zhijian Du, Shanshan Ye, Weimin Lipids Health Dis Research BACKGROUND: Variations in the prevalence and systemic inflammatory (SI) status between non-alcoholic fatty liver disease (NAFLD) and newly defined metabolic dysfunction-associated fatty liver disease (MAFLD) have only been reported by few studies. Hence, this study aimed to compile data on the prevalence and the systemic inflammation levels of MAFLD and NAFLD in a general population from Southeast China was summarized to explore the potential effect of the transformation of disease definition. METHODS: A total of 6718 general population participants aged 35–75 were enrolled. Logistic regression and restricted cubic spline (RCS) models were used to examine the relationship between 15 SI indicators and NAFLD and MAFLD. The predicted values of MAFLD and NAFLD were analyzed using the receiver operating characteristic (ROC) curve. RESULTS: The prevalence of MAFLD and NAFLD was 34.7% and 32.4%, respectively. Their overlapping rate was 89.7%, while only 8.3% and 1.9% of participants were MAFLD-only and NAFLD-only. Among three FLD groups, the MAFLD-only group had the highest levels of 8 SI indicators, including CRP, WBC, LYMPH, NEUT, MONO, ALB, NLR, and SIRI. The non-FLD group had the lower levels of all 15 SI indicators compared with all FLD subgroups. The odds ratios (ORs) of 10 SI indicators were significant in both multivariable-adjusted logistic regression and RCS analyses of MAFLD or NAFLD, including CRP, WBC, LYMPH, NEUT, MONO, ALB, PLR, LMR, ALI and CA. ROC analysis showed that the AUC values of all SI were lower than 0.7 in both MAFLD and NAFLD. CONCLUSIONS: MAFLD could cover more FLD than NAFLD, and the MAFLD-only group had a more severe inflammation status, whereas the NAFLD-only exhibited lower levels. Moreover, there was not a high AUC and a high sensitivity of SI indicators, suggesting that SI indicators are not good indicators to diagnose NAFLD/MAFLD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-023-01947-4. BioMed Central 2023-10-28 /pmc/articles/PMC10613356/ /pubmed/37898739 http://dx.doi.org/10.1186/s12944-023-01947-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Liu, Qingdan Han, Meilan Li, Meilan Huang, Xiaoyin Feng, Ruimei Li, Wanxin Chen, Jun He, Haiying Zheng, Wenxin Hu, Zhijian Du, Shanshan Ye, Weimin Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title | Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title_full | Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title_fullStr | Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title_full_unstemmed | Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title_short | Shift in prevalence and systemic inflammation levels from NAFLD to MAFLD: a population-based cross-sectional study |
title_sort | shift in prevalence and systemic inflammation levels from nafld to mafld: a population-based cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613356/ https://www.ncbi.nlm.nih.gov/pubmed/37898739 http://dx.doi.org/10.1186/s12944-023-01947-4 |
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