Community Socioeconomic Deprivation Predicts Nonalcoholic Steatohepatitis
In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients...
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Published in | Hepatology communications Vol. 6; no. 3; pp. 550 - 560 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Wolters Kluwer Health Medical Research, Lippincott Williams & Wilkins
01.03.2022
John Wiley and Sons Inc Wolters Kluwer Health/LWW |
Subjects | |
Online Access | Get full text |
ISSN | 2471-254X 2471-254X |
DOI | 10.1002/hep4.1831 |
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Abstract | In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10‐year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high‐SDI group was compared to the low‐SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2‐S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high‐SDI group compared to the low‐SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter‐occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099‐2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031‐2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation. |
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AbstractList | In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10-year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high-SDI group was compared to the low-SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2-S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high-SDI group compared to the low-SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter-occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099-2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031-2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation. In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10-year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high-SDI group was compared to the low-SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2-S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high-SDI group compared to the low-SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter-occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099-2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031-2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation.In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10-year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high-SDI group was compared to the low-SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2-S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high-SDI group compared to the low-SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter-occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099-2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031-2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation. In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10‐year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high‐SDI group was compared to the low‐SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2‐S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high‐SDI group compared to the low‐SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter‐occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099‐2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031‐2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation. In order to determine the relationship between socioeconomic deprivation and nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH), we retrospectively reviewed the electronic medical records of 1,430 patients in a large tertiary health care network in New York. These patients underwent liver biopsy over a 10‐year period and were included in our study if they had evidence of NAFLD/NASH on liver biopsy. Zip codes were used to obtain data necessary to derive the social deprivation index (SDI) from the US Bureau of the Census. The high‐SDI group was compared to the low‐SDI group. Univariate and multivariate logistic regressions were performed to assess association between socioeconomic factors and NAFLD parameters, including presence of NASH (NAFLD activity score >4), moderate to severe steatosis (>33%), and significant fibrosis (S2‐S4). We included 614 patients with NAFLD/NASH; the median SDI was 31.5. Hemoglobin A1c values were higher in the high‐SDI group compared to the low‐SDI group (6.46 vs. 6.12, P = 0.02). Socioeconomic factors, such as private versus public health care, percentage being foreign born, percentage without a car, percentage with higher needs (<5 years old and >65 years old), and percentage currently living in renter‐occupied and crowded housing units, showed statistically significant associations in predicting NASH. After adjusting for patient age, sex, race, body mass index, and diabetes, we saw a significant association between four or more socioeconomic parameters in predicting NASH (odds ratio [OR], 1.71; 95% confidence interval [CI], 1.099‐2.856; P = 0.0190) and six or more socioeconomic parameters in predicting severe steatosis (OR, 1.498; 95% CI, 1.031‐2.176; P = 0.0338) but no significant correlation between the number of socioeconomic parameters and significant fibrosis. Conclusion: Greater number of socioeconomic determinants (four or more) are associated with greater severity of NASH. Awareness of NAFLD/NASH needs to be raised in communities with high socioeconomic deprivation. |
Author | Khan, Sabrina Qiu, He Da, Ben L. Giammarino, Alexa M. Bulsara, Kishen Satapathy, Sanjaya K. Jiang, Yu Bernstein, David E. |
AuthorAffiliation | 1 Donald and Barbara Zucker School of Medicine at Hofstra University Northwell Health Hempstead NY USA 3 Division of Gastroenterology and Hepatology Department of Medicine Rutgers New Jersey Medical School Newark NJ USA 4 School of Public Health University of Memphis Memphis TN USA 2 Division of Hepatology at Sandra Atlas Bass Center for Liver Diseases and Transplantation Northshore University Hospital Manhasset NY USA |
AuthorAffiliation_xml | – name: 3 Division of Gastroenterology and Hepatology Department of Medicine Rutgers New Jersey Medical School Newark NJ USA – name: 1 Donald and Barbara Zucker School of Medicine at Hofstra University Northwell Health Hempstead NY USA – name: 2 Division of Hepatology at Sandra Atlas Bass Center for Liver Diseases and Transplantation Northshore University Hospital Manhasset NY USA – name: 4 School of Public Health University of Memphis Memphis TN USA |
Author_xml | – sequence: 1 givenname: Alexa M. surname: Giammarino fullname: Giammarino, Alexa M. organization: Northshore University Hospital – sequence: 2 givenname: He surname: Qiu fullname: Qiu, He organization: Rutgers New Jersey Medical School – sequence: 3 givenname: Kishen surname: Bulsara fullname: Bulsara, Kishen organization: Northwell Health – sequence: 4 givenname: Sabrina surname: Khan fullname: Khan, Sabrina organization: Northwell Health – sequence: 5 givenname: Yu surname: Jiang fullname: Jiang, Yu organization: University of Memphis – sequence: 6 givenname: Ben L. orcidid: 0000-0002-7750-240X surname: Da fullname: Da, Ben L. organization: Northshore University Hospital – sequence: 7 givenname: David E. surname: Bernstein fullname: Bernstein, David E. organization: Northshore University Hospital – sequence: 8 givenname: Sanjaya K. orcidid: 0000-0003-0153-2829 surname: Satapathy fullname: Satapathy, Sanjaya K. email: ssatapat@northwell.edu organization: Northshore University Hospital |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34668658$$D View this record in MEDLINE/PubMed |
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Copyright | 2021 The Authors. published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases. 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases. 2022. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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Notes | Potential conflict of interest: Dr. Bernstein advises Novartis. The other authors have nothing to report. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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in developing countries publication-title: World J Gastroenterol doi: 10.3748/wjg.v11.i24.3808 |
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SubjectTerms | Aged Alcohol Biopsy Body Mass Index Child, Preschool Cholangitis Diabetes Electronic health records Fatty liver Fibrosis Hispanic Americans Humans Inflammation Liver diseases Metabolic syndrome Non-alcoholic Fatty Liver Disease - diagnosis Original Patients Population Retrospective Studies Risk factors Socioeconomic Factors Weight control Womens health |
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Title | Community Socioeconomic Deprivation Predicts Nonalcoholic Steatohepatitis |
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