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Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is mutually and bidirectionally linked with metabolic syndrome (MetS) of which it is both the cause and the consequences. Worldwide, 6.3 to 33% of the general populations are estimated to suffer from the disease with even higher prevalence in the...

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Autores principales: Pardhe, Bashu Dev, Shakya, Shreena, Bhetwal, Anjeela, Mathias, Jennifer, Khanal, Puspa Raj, Pandit, Roshan, Shakya, Jyotsna, Joshi, Hari Om, Marahatta, Sujan Babu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035472/
https://www.ncbi.nlm.nih.gov/pubmed/29980170
http://dx.doi.org/10.1186/s12876-018-0843-6
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author Pardhe, Bashu Dev
Shakya, Shreena
Bhetwal, Anjeela
Mathias, Jennifer
Khanal, Puspa Raj
Pandit, Roshan
Shakya, Jyotsna
Joshi, Hari Om
Marahatta, Sujan Babu
author_facet Pardhe, Bashu Dev
Shakya, Shreena
Bhetwal, Anjeela
Mathias, Jennifer
Khanal, Puspa Raj
Pandit, Roshan
Shakya, Jyotsna
Joshi, Hari Om
Marahatta, Sujan Babu
author_sort Pardhe, Bashu Dev
collection PubMed
description BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is mutually and bidirectionally linked with metabolic syndrome (MetS) of which it is both the cause and the consequences. Worldwide, 6.3 to 33% of the general populations are estimated to suffer from the disease with even higher prevalence in the group sharing metabolic co-morbidities. Hence, this study aims to recognize various risk factors including metabolic components and blood parameters to predict the possible incidence of the disease. METHODS: Total of 429 (219 NAFLD and 210 control) subjects were conveniently selected for study during the period of 9 months. Diagnosis of non-alcoholic fatty liver disease was done by liver imaging and based on liver enzymes. Assessment of metabolic syndrome was done by International Diabetic Federation (IDF) and National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. All biochemical and hematological parameters and liver enzymes were estimated by using standard guideline. Mean comparison of quantitative data in different groups were performed using analysis of variance (one-way ANOVA). Risk estimation of NAFLD associated with each character was verified by Chi-square test. RESULTS: There was significant high levels of body mass index (BMI), waist circumference (WC) and lipid profiles in NAFLD patients in comparison to control population (p < 0.001). Further, according to the NCEP ATP III criteria, 13.6% of NAFLD were present with MetS where risk estimate was significant (OR = 2.15). Whereas, other criteria (IDF) for MetS showed higher frequency (30.1%) with higher risk (OR = 29.75) for the presence of MetS in NAFLD patients. The change in triglycerides (TG) and HDL-C (high density lipoprotein cholesterol) was also statistically significant in different grades of NAFLD. High risk for NAFLD was associated with existing co-morbid conditions like cardiovascular risk patients (3.18 times) followed by obese patients (1.72 times) and Diabetes Mellitus patients (1.68 times) at a significant level. CONCLUSION: The result of this study suggests that there is an increased prevalence of all the components of MetS and significant changes in biochemical markers in cases of NAFLD. Timely diagnosis would help in delaying its complications and co-morbidities.
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spelling pubmed-60354722018-07-12 Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal Pardhe, Bashu Dev Shakya, Shreena Bhetwal, Anjeela Mathias, Jennifer Khanal, Puspa Raj Pandit, Roshan Shakya, Jyotsna Joshi, Hari Om Marahatta, Sujan Babu BMC Gastroenterol Research Article BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is mutually and bidirectionally linked with metabolic syndrome (MetS) of which it is both the cause and the consequences. Worldwide, 6.3 to 33% of the general populations are estimated to suffer from the disease with even higher prevalence in the group sharing metabolic co-morbidities. Hence, this study aims to recognize various risk factors including metabolic components and blood parameters to predict the possible incidence of the disease. METHODS: Total of 429 (219 NAFLD and 210 control) subjects were conveniently selected for study during the period of 9 months. Diagnosis of non-alcoholic fatty liver disease was done by liver imaging and based on liver enzymes. Assessment of metabolic syndrome was done by International Diabetic Federation (IDF) and National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. All biochemical and hematological parameters and liver enzymes were estimated by using standard guideline. Mean comparison of quantitative data in different groups were performed using analysis of variance (one-way ANOVA). Risk estimation of NAFLD associated with each character was verified by Chi-square test. RESULTS: There was significant high levels of body mass index (BMI), waist circumference (WC) and lipid profiles in NAFLD patients in comparison to control population (p < 0.001). Further, according to the NCEP ATP III criteria, 13.6% of NAFLD were present with MetS where risk estimate was significant (OR = 2.15). Whereas, other criteria (IDF) for MetS showed higher frequency (30.1%) with higher risk (OR = 29.75) for the presence of MetS in NAFLD patients. The change in triglycerides (TG) and HDL-C (high density lipoprotein cholesterol) was also statistically significant in different grades of NAFLD. High risk for NAFLD was associated with existing co-morbid conditions like cardiovascular risk patients (3.18 times) followed by obese patients (1.72 times) and Diabetes Mellitus patients (1.68 times) at a significant level. CONCLUSION: The result of this study suggests that there is an increased prevalence of all the components of MetS and significant changes in biochemical markers in cases of NAFLD. Timely diagnosis would help in delaying its complications and co-morbidities. BioMed Central 2018-07-06 /pmc/articles/PMC6035472/ /pubmed/29980170 http://dx.doi.org/10.1186/s12876-018-0843-6 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Pardhe, Bashu Dev
Shakya, Shreena
Bhetwal, Anjeela
Mathias, Jennifer
Khanal, Puspa Raj
Pandit, Roshan
Shakya, Jyotsna
Joshi, Hari Om
Marahatta, Sujan Babu
Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title_full Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title_fullStr Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title_full_unstemmed Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title_short Metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of Nepal
title_sort metabolic syndrome and biochemical changes among non-alcoholic fatty liver disease patients attending a tertiary care hospital of nepal
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035472/
https://www.ncbi.nlm.nih.gov/pubmed/29980170
http://dx.doi.org/10.1186/s12876-018-0843-6
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