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Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari DM, Tate JP, Park LS, Bhattacharya D, Lim JK, Taddei TH, Justice AC, Lo Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatol Commun 2024; 8:e0468. [PMID: 38896066 PMCID: PMC11186806 DOI: 10.1097/hc9.0000000000000468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/19/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis systematically within large clinical repositories of imaging reports. We validated the performance of an NLP algorithm for the identification of SLD in clinical imaging reports and applied this tool to a large population of people with and without HIV. METHODS Patients were included in the analysis if they enrolled in the Veterans Aging Cohort Study between 2001 and 2017, had an imaging report inclusive of the liver, and had ≥2 years of observation before the imaging study. SLD was considered present when reports contained the terms "fatty," "steatosis," "steatotic," or "steatohepatitis." The performance of the SLD NLP algorithm was compared to a clinical review of 800 reports. We then applied the NLP algorithm to the first eligible imaging study and compared patient characteristics by SLD and HIV status. RESULTS NLP achieved 100% sensitivity and 88.5% positive predictive value for the identification of SLD. When applied to 26,706 eligible Veterans Aging Cohort Study patient imaging reports, SLD was identified in 72.2% and did not significantly differ by HIV status. SLD was associated with a higher prevalence of metabolic comorbidities, alcohol use disorder, and hepatitis B and C, but not HIV infection. CONCLUSIONS While limited to those undergoing radiologic study, the NLP algorithm accurately identified SLD in people with and without HIV and offers a valuable tool to evaluate the determinants and consequences of hepatic steatosis.
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Affiliation(s)
- Jessie Torgersen
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Real-world Effectiveness and Safety of Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Melissa Skanderson
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Farah Kidwai-Khan
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Dena M. Carbonari
- Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Real-world Effectiveness and Safety of Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Janet P. Tate
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Lesley S. Park
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Debika Bhattacharya
- Department of Medicine, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - Joseph K. Lim
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Tamar H. Taddei
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Amy C. Justice
- Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
- Department of Medicine, VA Connecticut Healthcare System, West Haven, Connecticut, USA
- Department of Epidemiology and Public Health, Division of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut, USA
| | - Vincent Lo Re
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, Center for Real-world Effectiveness and Safety of Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Torgersen J, So-Armah K, Freiberg MS, Goetz MB, Budoff MJ, Lim JK, Taddei T, Butt AA, Rodriguez-Barradas MC, Justice AC, Kostman JR, Lo Re V. Comparison of the prevalence, severity, and risk factors for hepatic steatosis in HIV-infected and uninfected people. BMC Gastroenterol 2019; 19:52. [PMID: 30987601 PMCID: PMC6466708 DOI: 10.1186/s12876-019-0969-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 03/28/2019] [Indexed: 12/26/2022] Open
Abstract
Background Hepatic steatosis is prevalent in Western countries, but few studies have evaluated whether the frequency and severity of steatosis are greater in the setting of HIV infection. We compared the prevalence and severity of hepatic steatosis between HIV-infected (HIV+) and uninfected persons and identified factors associated with greater steatosis severity within both groups. Methods We performed a cross-sectional study among participants without cardiovascular disease who participated in a substudy of the Veterans Aging Cohort Study. Hepatic steatosis was defined by noncontrast computed tomography (CT) liver-to-spleen (L/S) attenuation ratio < 1.0. Multivariable linear regression was used to: 1) evaluate the association between HIV infection and severity of hepatic steatosis, as measured by absolute liver attenuation, and 2) identify factors associated with greater severity of steatosis, by HIV status. Results Among 268 participants (median age, 55 years; 99% male; 79% black; 23% obese; 64% HIV+ [91% on antiretroviral therapy]), the overall prevalence of steatosis was 7.8% and was similar between HIV+ and uninfected individuals (13 [7.6%] versus 8 [8.2%], respectively; p = 0.85). Participants with HIV, the majority of whom received antiretroviral therapy, had a higher mean absolute liver attenuation (mean difference, 5.68 Hounsfield units; p < 0.001), correlating with lesser hepatic steatosis severity, compared to uninfected participants. After adjusting for covariates, only advanced hepatic fibrosis was associated with greater severity of steatosis in HIV+ persons (p = 0.03) and uninfected individuals (p < 0.001). Conclusions In this sample of participants without cardiovascular disease, the prevalence of hepatic steatosis by noncontrast abdominal CT was not different by HIV status. Increasing severity of steatosis was independently associated with advanced hepatic fibrosis in both groups. Electronic supplementary material The online version of this article (10.1186/s12876-019-0969-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Jessie Torgersen
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3910 Powelton Ave 4nd Floor, Ste. 411F, Philadelphia, PA, 19104, USA.
| | - Kaku So-Armah
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Matthew S Freiberg
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Matthew B Goetz
- Department of Medicine, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Matthew J Budoff
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Joseph K Lim
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Tamar Taddei
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA, and VA Connecticut Healthcare, West Haven, CT, USA
| | - Adeel A Butt
- Department of Medicine, Weill Cornell Medical College, Ar-Rayyan, Qatar
| | | | - Amy C Justice
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA, and VA Connecticut Healthcare, West Haven, CT, USA
| | - Jay R Kostman
- John Bell Health Center, Philadelphia FIGHT, Philadelphia, PA, USA
| | - Vincent Lo Re
- Department of Medicine and Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Stevenson HL, Utay NS. Hepatic steatosis in HCV-infected persons in the direct-acting antiviral era. Trop Dis Travel Med Vaccines 2016; 2:21. [PMID: 28883965 PMCID: PMC5530934 DOI: 10.1186/s40794-016-0038-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Accepted: 09/22/2016] [Indexed: 02/07/2023] Open
Abstract
Hepatitis C virus (HCV) infects 130-170 million people worldwide. Recently, direct-acting antivirals have been shown to eradicate HCV infection in 90-95 % of non-cirrhotic patients depending on genotype, treatment experience, and regimen used. Similar rates are achieved among compensated cirrhotics, although longer treatment duration and/or ribavirin may be required. HCV uses host lipid metabolism for its lifecycle and can cause hepatic steatosis and insulin resistance. Hepatic steatosis, defined as excessive triglyceride deposition in hepatocytes, affects approximately half of HCV-infected individuals. Genetic factors and co-morbidities can drive further steatosis, which in turn can instigate fibrosis and progression to cirrhosis and hepatocellular carcinoma. Polymorphisms in genes that modulate lipid deposition in hepatocytes such as patatin-like phospholipase domain-containing protein 3 (PNPLA3) and transmembrane six superfamily member 2 (TM6SF2) predispose people to steatosis. Metabolic syndrome, obesity, and insulin resistance are increasing worldwide and further contribute to hepatic steatosis, and alcohol has long been recognized as a cause of lipid deposition in the liver. HIV and antiretroviral drugs, but not HBV, may further drive hepatic steatosis. While many of these factors limit response to interferon-based regimens for treating HCV, responses to direct-acting antivirals appear not to be impaired. The effect of HCV eradication on hepatic steatosis and progression to fibrosis, cirrhosis, and hepatocellular carcinoma warrants further study in the era of direct-acting antivirals.
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Affiliation(s)
- Heather L. Stevenson
- Department of Pathology, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555 USA
| | - Netanya S. Utay
- Division of Infectious Diseases, Department of Medicine, University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555 USA
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