Retrospective Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Jan 27, 2023; 15(1): 79-88
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.79
Influence of non-alcoholic fatty liver disease on non-variceal upper gastrointestinal bleeding: A nationwide analysis
Aakriti Soni, Anuroop Yekula, Yuvaraj Singh, Nitish Sood, Dushyant Singh Dahiya, Kannu Bansal, GM Abraham
Aakriti Soni, Anuroop Yekula, Yuvaraj Singh, Kannu Bansal, GM Abraham, Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, United States
Nitish Sood, Department of Internal Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, United States
Dushyant Singh Dahiya, Department of Internal Medicine, Central Michigan University, Saginaw, MI 48602, United States
Author contributions: Soni A and Yekula A contributed to the conceptual design of the study; Soni A, Yekula A, and Soni A independently screened the medical records and extracted the data; Sood N performed the statistical analysis; Soni A, Yekula A, and Dahiya DS contributed to the write-up and submission of the study; Abraham G reviewed the final manuscript; and all authors reviewed and agreed the final content of the article.
Institutional review board statement: We utilized data from the National Inpatient Sample database, which meets all relevant ethical and regulatory standards. National Inpatient Sample is a publicly available database provided by the Agency of Healthcare Research and Quality. It includes a national representative sample of discharge-level files and does not include patient or hospital-identifiable information. Due to the nature of its complex sampling method, and being a deidentified database available for public use, institutional board review policy was met and as per the IRB policy at Saint Vincent Hospital no review or approval was required.
Informed consent statement: We utilized data from the National Inpatient Sample database, which meets all relevant ethical and regulatory standards. National Inpatient Sample is a publicly available database provided by the Agency of Healthcare Research and Quality. It includes a national representative sample of discharge-level files and does not include patient or hospital-identifiable information. Due to the nature of its complex sampling method, and being a deidentified database available for public use, informed consent was met and as per the IRB policy at Saint Vincent Hospital no review or approval was required.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yuvaraj Singh, MD, Chief Medical Resident, Department of Internal Medicine, Saint Vincent Hospital, 123 Summer Street, Worcester, MA 01608, United States. yuvarajmle@gmail.com
Received: September 22, 2022
Peer-review started: September 22, 2022
First decision: October 17, 2022
Revised: October 25, 2022
Accepted: November 7, 2022
Article in press: November 7, 2022
Published online: January 27, 2023
Processing time: 116 Days and 4 Hours
Core Tip

Core Tip: Non-alcoholic fatty liver disease (NAFLD) is a growing problem. The national inpatient database was used to identify patients with non-variceal upper gastrointestinal bleeding who were categorized based on NAFLD status. Statistically significant differences were observed between the two cohorts with respect to mortality, utilization of healthcare resources and complications. We believe this will be beneficial for physicians in terms of predicting morbidity and prognosis in these patients.