The Korean journal of internal medicine

  • 제39권3호
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  • Pages.439-447
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  • 2024
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  • 1226-3303(pISSN)
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  • 2005-6648(eISSN)
대한내과학회 (The Korean Association of Internal Medicine)
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Predicting Helicobacter pylori infection from endoscopic features

  • Jun-young Seo (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Ji Yong Ahn (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Seonok Kim (Department of Clinical Epidemiology and Biostatics, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Hee Kyong Na (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Jeong Hoon Lee (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Kee Wook Jung (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Do Hoon Kim (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Kee Don Choi (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Ho June Song (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Gin Hyug Lee (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Hwoon-Yong Jung (Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine)
  • 투고 : 2023.07.14
  • 심사 : 2023.12.04
  • 발행 : 2024.05.01
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초록

Background: Helicobacter pylori infection, prevalent in more than half of the global population, is associated with various gastrointestinal diseases, including peptic ulcers and gastric cancer. The effectiveness of early diagnosis and treatment in preventing gastric cancer highlights the need for improved diagnostic methods. This study aimed to develop a simple scoring system based on endoscopic findings to predict H. pylori infection. Methods: A retrospective analysis was conducted on 1,007 patients who underwent upper gastrointestinal endoscopy at Asan Medical Center from January 2019 to December 2021. Exclusion criteria included prior H. pylori treatment, gastric surgery, or gastric malignancies. Diagnostic techniques included rapid urease and 13C-urea breath tests, H. pylori culture, and assessment of endoscopic features following the Kyoto gastritis classification. A new scoring system based on endoscopic findings including regular arrangement of collecting venules (RAC), nodularity, and diffuse or spotty redness was developed for predicting H. pylori infection, utilizing logistic regression analysis in the development set. Results: The scoring system demonstrated high predictive accuracy for H. pylori infection in the validation set. Scores of 2 and 3 were associated with 96% and 99% infection risk, respectively. Additionally, there was a higher prevalence of diffuse redness and sticky mucus in cases where the initial H. pylori eradication treatment failed. Conclusions: Our scoring system showed potential for improving diagnostic accuracy in H. pylori infection. H. pylori testing should be considered upon spotty redness, diffuse redness, nodularity, and RAC absence on endoscopic findings as determined by the predictive scoring system.

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참고문헌

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