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Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)

BACKGROUND: Some studies found that red blood cell count (RBC) was an unrecognized risk factor for non-alcoholic fatty liver disease (NAFLD). While the epidemiological data underpinning the evidence is very limited. As there are some differences between the latest criteria of metabolic dysfunction-a...

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Autores principales: Dai, Xinyi, Zhou, Guowei, Xu, Luzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794081/
https://www.ncbi.nlm.nih.gov/pubmed/36574367
http://dx.doi.org/10.1371/journal.pone.0279274
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author Dai, Xinyi
Zhou, Guowei
Xu, Luzhou
author_facet Dai, Xinyi
Zhou, Guowei
Xu, Luzhou
author_sort Dai, Xinyi
collection PubMed
description BACKGROUND: Some studies found that red blood cell count (RBC) was an unrecognized risk factor for non-alcoholic fatty liver disease (NAFLD). While the epidemiological data underpinning the evidence is very limited. As there are some differences between the latest criteria of metabolic dysfunction-associated fatty liver disease (MAFLD) and NAFLD, itis necessary to evaluate the relationship between RBC and MAFLD. METHODS: We performed a cross-sectional analysis of the National Health and Nutritional Examination Survey (NHANES)2017-2018 cohort, including 4477 participants. Hepatic steatosis was determined when the value of controlled attenuation parameter (CAP) obtained by Fibroscan was ≥274 dB/m. Multivariate logistic regression analysis was used to estimate the association between RBC and MAFLD. We estimated the adjusted odds ratio (OR) of RBC for MAFLD, and the nonlinear relationship between RBC and MAFLD was further described using smooth curve fittings and threshold-effect analysis. RESULTS: We found that MAFLD risk was significantly higher according to RBC quartiles. The adjusted odds ratio (OR) and 95% confidence intervals (CIs)for the highest RBC quartile were 1.5(1.0, 2.3) for male and 1.1 (0.8, 1.6) for female, respectively. As for male, a non-linear relationship was discovered between RBCs and MAFLD, with a RBC threshold of 4.2. The effect sizes and confidence intervals on the right side of the inflection point were 1.5 (1.0, 2.0) (P for nonlinearity = 0.027). The sensitivity analysis showed a similar result. CONCLUSION: We demonstrated that that elevated RBC level is associated with the higher risk of MAFLD in male. The positive relationship was not significant in females after full adjustment. Our finding provided novel evidence indicating that RBCs might be a potential biomarker for MAFLD.
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spelling pubmed-97940812022-12-28 Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD) Dai, Xinyi Zhou, Guowei Xu, Luzhou PLoS One Research Article BACKGROUND: Some studies found that red blood cell count (RBC) was an unrecognized risk factor for non-alcoholic fatty liver disease (NAFLD). While the epidemiological data underpinning the evidence is very limited. As there are some differences between the latest criteria of metabolic dysfunction-associated fatty liver disease (MAFLD) and NAFLD, itis necessary to evaluate the relationship between RBC and MAFLD. METHODS: We performed a cross-sectional analysis of the National Health and Nutritional Examination Survey (NHANES)2017-2018 cohort, including 4477 participants. Hepatic steatosis was determined when the value of controlled attenuation parameter (CAP) obtained by Fibroscan was ≥274 dB/m. Multivariate logistic regression analysis was used to estimate the association between RBC and MAFLD. We estimated the adjusted odds ratio (OR) of RBC for MAFLD, and the nonlinear relationship between RBC and MAFLD was further described using smooth curve fittings and threshold-effect analysis. RESULTS: We found that MAFLD risk was significantly higher according to RBC quartiles. The adjusted odds ratio (OR) and 95% confidence intervals (CIs)for the highest RBC quartile were 1.5(1.0, 2.3) for male and 1.1 (0.8, 1.6) for female, respectively. As for male, a non-linear relationship was discovered between RBCs and MAFLD, with a RBC threshold of 4.2. The effect sizes and confidence intervals on the right side of the inflection point were 1.5 (1.0, 2.0) (P for nonlinearity = 0.027). The sensitivity analysis showed a similar result. CONCLUSION: We demonstrated that that elevated RBC level is associated with the higher risk of MAFLD in male. The positive relationship was not significant in females after full adjustment. Our finding provided novel evidence indicating that RBCs might be a potential biomarker for MAFLD. Public Library of Science 2022-12-27 /pmc/articles/PMC9794081/ /pubmed/36574367 http://dx.doi.org/10.1371/journal.pone.0279274 Text en © 2022 Dai et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Dai, Xinyi
Zhou, Guowei
Xu, Luzhou
Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title_full Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title_fullStr Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title_full_unstemmed Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title_short Associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(MAFLD)
title_sort associations between red blood cell count and metabolic dysfunction-associated fatty liver disease(mafld)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9794081/
https://www.ncbi.nlm.nih.gov/pubmed/36574367
http://dx.doi.org/10.1371/journal.pone.0279274
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