JGH Open (Aug 2024)

Gastric intestinal metaplasia regression in United States population: A retrospective longitudinal study

  • Akram I Ahmed,
  • Ahmed El Sabagh,
  • Claire Caplan,
  • Arielle Lee,
  • Won K Cho

DOI
https://doi.org/10.1002/jgh3.70005
Journal volume & issue
Vol. 8, no. 8
pp. n/a – n/a

Abstract

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Abstract Background and Aim Gastric cancer is a health concern and contributes to cancer‐related deaths. Gastric intestinal metaplasia (GIM) is a premalignant lesion of gastric cancer. Currently, factors associated with GIM regression are under‐investigated. This study aims to assess the rate of GIM regression and identify factors associated with it. Methods This study was conducted at Medstar Washington Hospital Center. We included patients who had GIM between January 2015 and December 2020. Population was divided into GIM persistence or regression. Data included demographics, esophagogastroduodenoscopy findings, Helicobacter pylori status, and laboratory results. Statistical analyses included Kaplan–Meier and Cox proportional models to explore predictors of GIM regression. Results Among 2375 patients, 9.1% had GIM. Notably, 85 patients had GIM regression and 132 patients had persistent GIM. African Americans constituted (75%) of the regression group and (76%) of the persistence group. Peptic ulcer disease (PUD) was noted in 12.9% of the regression group at baseline, and 5.9% at follow‐up; the persistence group showed 11.4% at baseline and 5.3% at follow‐up (P = 0.89). Regression analysis revealed that the presence of PUD was associated with a higher rate of regression (hazard ratio [HR] 2.46, P = 0.013). Smoking status showed lower rates of regression (HR 0.54 and 0.62, P = 0.038 and 0.169). On gastric mapping, African Americans, Hispanics, and individuals of other races/ethnicities displayed lower rates of GIM regression (HR 0.68, 0.78 and 0.69). Conclusion PUD was associated with a higher rate of GIM regression, while smoking showed lower regression rates. Results provide insights into factors influencing GIM regression in African American population and may inform future surveillance and treatment strategies.

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