Combination of Serum Helicobacter pylori Antibody With Pepsinogens and OLGA/OLGIM Staging System for Risk Assessment of Gastric Precancerous Lesions / 胃肠病学

ABSTRACT

Background: Serum pepsinogens (PGs), as an indicator of gastric mucosal atrophy, reflects the functional and morphological status of gastric mucosa. And OLGA/OLGIM, the staging system of gastritis integrating the severity and topography of gastric mucosal atrophy/intestinal metaplasia, has been gradually accepted and used in gastric cancer screening in recent years. Aims: To investigate the correlation between ABC method [combined assay for serum Helicobacter pylori (Hp) antibody and PGs] and OLGA/OLGIM staging system, as well as the role of PGs test in risk assessment of gastric precancerous lesions. Methods: A total of 331 patients undergoing gastroscopy for upper gastrointestinal symptoms from Jan. 2017 to Jan. 2018 at the First Hospital of Jiaxing were enrolled. According to the results of serum tests and biopsy pathology, these patients were divided into four groups by ABC method and five groups by OLGA/OLGIM staging system, respectively. Hp infection rate, serum levels of PG and PGⅡ, and PG/PGⅡ ratio (PGR) were compared between different OLGA/OLGIM groups, and the correlations between OLGA/OLGIM staging system and ABC method were analyzed. Results: For OLGA/OLGIM staging system, the Hp infection rate was significantly lower in stage-0 and significantly higher in stage- (P<0.05), whereas the PGR decreased with the rising of stage (P<0.05). Only in OLGA groups, the PG level decreased with the rising of stage (P<0.05). Gamma coefficient analysis showed significant correlation between OLGA/OLGIM staging system and ABC method (G=0.589, P<0.05; G=0.440, P<0.05). Conclusions: Serological ABC method and histological OLGA/OLGIM staging system are closely linked in risk assessment of gastric precancerous lesions. Serum PGs test could be applied for screening of gastric precancerous lesions in China, identifying high risk population for further gastroscopy.