Distinguishing features of autoimmune gastritis depending on previous H. pylori infection or positivity to anti-parietal cell antibodies: results from the Autoimmune gastRitis Italian netwOrk Study grOup (ARIOSO)

Objectives: To describe the clinical features and the risk of developing gastric tumors in patients with autoimmune gastritis (AIG). Methods: This was a retrospective, longitudinal, multicenter study conducted at eight Italian tertiary referral centers. We retrieved clinical data from all histologically proven AIG patients. Differences between H. pylori-exposed vs H. pylori-naïve, and anti-parietal cell antibody (PCA)-positive vs PCA-negative patients were investigated. The rate of gastric adenocarcinoma and type 1 gastric neuroendocrine neoplasm (gNEN) was assessed. A multivariable model for factors associated to gNEN was fitted. Results: 1598 patients with AIG (median age 58 years, IQR 46-68; F:M ratio 2.7:1) were included. H. pylori-naïve patients were more likely to have a first-degree family history of AIG (14.7% vs 8.9%; p=0.012), type 1 diabetes mellitus (4.9% vs 2.3%; p=0.025), and pernicious anemia (30.9% vs 21.1%; p=0.003). PCA-positive patients had significantly more associated autoimmune diseases (59.0% vs 42.9%; p<0.001) and were more likely to have been diagnosed by a case-finding strategy (15.3% vs 2.6%; p<0.001). Overall, 15 cases (0.9%) of gastric adenocarcinoma and 153 cases (9.6%) of gNEN occurred, with a global rate of 0.12 (95% CI 0.07-0.20) and 1.22 (95% CI 1.03-1.42) per 100 person/year, respectively. Having a vitamin B12/iron deficiency manifestation at AIG diagnosis was associated with an 16.44 (95% CI 9.94-27.20 p<0.001) hazard ratio of gNEN. Conclusions: The "pure" AIG pattern has typical features of an autoimmune disease and seems to be unrelated to H. pylori. In a tertiary referral setting, the risk of developing overt gastric adenocarcinoma is low, while patients with vitamin B12 deficiency complications at onset may benefit from a more intense endoscopic follow-up for early gNEN detection.