Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity

Objectives. The accumulation of lipids stored as excess triglycerides in the liver (steatosis) is highly prevalent in obesity and has been associated with several clinical characteristics, but most studies have been based on relatively small sample sizes using a limited set of variables. We sought t...

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Main Authors: Glenn S. Gerhard, Peter Benotti, G. Craig Wood, Xin Chu, George Argyropoulos, Anthony Petrick, William E. Strodel, Jon D. Gabrielsen, Anna Ibele, Christopher D. Still, Christopher Kingsley, Johanna DiStefano
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Obesity
Online Access:http://dx.doi.org/10.1155/2014/368210
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author Glenn S. Gerhard
Peter Benotti
G. Craig Wood
Xin Chu
George Argyropoulos
Anthony Petrick
William E. Strodel
Jon D. Gabrielsen
Anna Ibele
Christopher D. Still
Christopher Kingsley
Johanna DiStefano
author_facet Glenn S. Gerhard
Peter Benotti
G. Craig Wood
Xin Chu
George Argyropoulos
Anthony Petrick
William E. Strodel
Jon D. Gabrielsen
Anna Ibele
Christopher D. Still
Christopher Kingsley
Johanna DiStefano
author_sort Glenn S. Gerhard
collection DOAJ
description Objectives. The accumulation of lipids stored as excess triglycerides in the liver (steatosis) is highly prevalent in obesity and has been associated with several clinical characteristics, but most studies have been based on relatively small sample sizes using a limited set of variables. We sought to identify clinical factors associated with liver fat accumulation in a large cohort of patients with extreme obesity. Methods. We analyzed 2929 patients undergoing intraoperative liver biopsy during a primary bariatric surgery. Univariate and multivariate regression modeling was used to identify associations with over 200 clinical variables with the presence of any fat in the liver and with moderate to severe versus mild fat accumulation. Results. A total of 19 data elements were associated with the presence of liver fat and 11 with severity of liver fat including ALT and AST, plasma lipid, glucose, and iron metabolism variables, several medications and laboratory measures, and sleep apnea. The accuracy of a multiple logistic regression model for presence of liver fat was 81% and for severity of liver fat accumulation was 77%. Conclusions. A limited set of clinical factors can be used to model hepatic fat accumulation with moderate accuracy and may provide potential mechanistic insights in the setting of extreme obesity.
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publishDate 2014-01-01
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spelling doaj-art-1e9a04f5ad2b429a9cf3425bf49705542025-02-03T01:02:07ZengWileyJournal of Obesity2090-07082090-07162014-01-01201410.1155/2014/368210368210Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme ObesityGlenn S. Gerhard0Peter Benotti1G. Craig Wood2Xin Chu3George Argyropoulos4Anthony Petrick5William E. Strodel6Jon D. Gabrielsen7Anna Ibele8Christopher D. Still9Christopher Kingsley10Johanna DiStefano11Department of Medical Genetics and Molecular Biochemistry, Temple University School of Medicine, 3500 N. Broad Street, Philadelphia, PA 19140, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USAGeisinger Obesity Research Institute, Danville, PA 17822, USATranslational Genomics Institute, Phoenix, AZ 85004, USATranslational Genomics Institute, Phoenix, AZ 85004, USAObjectives. The accumulation of lipids stored as excess triglycerides in the liver (steatosis) is highly prevalent in obesity and has been associated with several clinical characteristics, but most studies have been based on relatively small sample sizes using a limited set of variables. We sought to identify clinical factors associated with liver fat accumulation in a large cohort of patients with extreme obesity. Methods. We analyzed 2929 patients undergoing intraoperative liver biopsy during a primary bariatric surgery. Univariate and multivariate regression modeling was used to identify associations with over 200 clinical variables with the presence of any fat in the liver and with moderate to severe versus mild fat accumulation. Results. A total of 19 data elements were associated with the presence of liver fat and 11 with severity of liver fat including ALT and AST, plasma lipid, glucose, and iron metabolism variables, several medications and laboratory measures, and sleep apnea. The accuracy of a multiple logistic regression model for presence of liver fat was 81% and for severity of liver fat accumulation was 77%. Conclusions. A limited set of clinical factors can be used to model hepatic fat accumulation with moderate accuracy and may provide potential mechanistic insights in the setting of extreme obesity.http://dx.doi.org/10.1155/2014/368210
spellingShingle Glenn S. Gerhard
Peter Benotti
G. Craig Wood
Xin Chu
George Argyropoulos
Anthony Petrick
William E. Strodel
Jon D. Gabrielsen
Anna Ibele
Christopher D. Still
Christopher Kingsley
Johanna DiStefano
Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
Journal of Obesity
title Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
title_full Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
title_fullStr Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
title_full_unstemmed Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
title_short Identification of Novel Clinical Factors Associated with Hepatic Fat Accumulation in Extreme Obesity
title_sort identification of novel clinical factors associated with hepatic fat accumulation in extreme obesity
url http://dx.doi.org/10.1155/2014/368210
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