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Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease

BACKGROUND: There are several studies in the literature investigating factors which can induce non-alcoholic fatty liver disease (NAFLD) in different populations. However, the existing literature lacks powerful studies addressing the factors which may predict the severity of NAFLD. OBJECTIVES: In th...

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Autores principales: Ghamar-Chehreh, Mohammad Ebrahim, Khedmat, Hossein, Amini, Mohsen, Taheri, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kowsar 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549417/
https://www.ncbi.nlm.nih.gov/pubmed/23346150
http://dx.doi.org/10.5812/hepatmon.6860
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author Ghamar-Chehreh, Mohammad Ebrahim
Khedmat, Hossein
Amini, Mohsen
Taheri, Saeed
author_facet Ghamar-Chehreh, Mohammad Ebrahim
Khedmat, Hossein
Amini, Mohsen
Taheri, Saeed
author_sort Ghamar-Chehreh, Mohammad Ebrahim
collection PubMed
description BACKGROUND: There are several studies in the literature investigating factors which can induce non-alcoholic fatty liver disease (NAFLD) in different populations. However, the existing literature lacks powerful studies addressing the factors which may predict the severity of NAFLD. OBJECTIVES: In the current study, we aimed to evaluate factors independently associated with liver echogenicity in an Iranian NAFLD patient population. PATIENTS AND METHODS: A total of 393 patients attending as outpatients at the Hepatology Clinic of Baqiyatallah University of Medical Sciences were entered into this analysis. Univariate and multivariable linear regression models were performed to evaluate the effects of the study variables on the NAFLD grade, defined by ultrasound hepatic echogenicity. RESULTS: Univariate linear analyses revealed a significant relationship between; the ultrasonographic grading of NAFLD and body weight (P < 0.001), abdominal girth (P = 0.007), pelvic girth (P = 0.032), fasting blood glucose (FBS) (P = 0.005), serum insulin (P = 0.035), hemoglobin A1c (HbA1c) (P = 0.012), triglycerides (P = 0.049), aspartate aminotransferase (AST) (P = 0.015), alanin aminotransferase (ALT) (P = 0.026), and homeostasis model assessment (HOMA) (P = 0.002). Multivariable linear regression models left only; HbA1C (P = 0.011, β = 0.133), body weight (P = 0.001; β = 0.176) and serum triglyceride (P = 0.034; β = 0.112) as factors independently associated with liver echogenicity. CONCLUSIONS: Diabetic patients can reduce liver damage of NAFLD with control of their HbA1C through the lower ranges. Hypertriglyceridemia and body weight are the other implicated factors, which worsen hepatic echogenicity in the NAFLD patient population. We recommend future prospective studies and clinical trials to confirm our findings.
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spelling pubmed-35494172013-01-23 Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease Ghamar-Chehreh, Mohammad Ebrahim Khedmat, Hossein Amini, Mohsen Taheri, Saeed Hepat Mon Original Article BACKGROUND: There are several studies in the literature investigating factors which can induce non-alcoholic fatty liver disease (NAFLD) in different populations. However, the existing literature lacks powerful studies addressing the factors which may predict the severity of NAFLD. OBJECTIVES: In the current study, we aimed to evaluate factors independently associated with liver echogenicity in an Iranian NAFLD patient population. PATIENTS AND METHODS: A total of 393 patients attending as outpatients at the Hepatology Clinic of Baqiyatallah University of Medical Sciences were entered into this analysis. Univariate and multivariable linear regression models were performed to evaluate the effects of the study variables on the NAFLD grade, defined by ultrasound hepatic echogenicity. RESULTS: Univariate linear analyses revealed a significant relationship between; the ultrasonographic grading of NAFLD and body weight (P < 0.001), abdominal girth (P = 0.007), pelvic girth (P = 0.032), fasting blood glucose (FBS) (P = 0.005), serum insulin (P = 0.035), hemoglobin A1c (HbA1c) (P = 0.012), triglycerides (P = 0.049), aspartate aminotransferase (AST) (P = 0.015), alanin aminotransferase (ALT) (P = 0.026), and homeostasis model assessment (HOMA) (P = 0.002). Multivariable linear regression models left only; HbA1C (P = 0.011, β = 0.133), body weight (P = 0.001; β = 0.176) and serum triglyceride (P = 0.034; β = 0.112) as factors independently associated with liver echogenicity. CONCLUSIONS: Diabetic patients can reduce liver damage of NAFLD with control of their HbA1C through the lower ranges. Hypertriglyceridemia and body weight are the other implicated factors, which worsen hepatic echogenicity in the NAFLD patient population. We recommend future prospective studies and clinical trials to confirm our findings. Kowsar 2012-11-04 /pmc/articles/PMC3549417/ /pubmed/23346150 http://dx.doi.org/10.5812/hepatmon.6860 Text en Copyright © 2012, Kowsar Corp. http://creativecommons.org/licenses/by/3/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ghamar-Chehreh, Mohammad Ebrahim
Khedmat, Hossein
Amini, Mohsen
Taheri, Saeed
Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title_full Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title_fullStr Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title_full_unstemmed Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title_short Predictive Factors for Ultrasonographic Grading of Nonalcoholic Fatty Liver Disease
title_sort predictive factors for ultrasonographic grading of nonalcoholic fatty liver disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3549417/
https://www.ncbi.nlm.nih.gov/pubmed/23346150
http://dx.doi.org/10.5812/hepatmon.6860
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