Prediction of true Helicobacter pylori-uninfected status using a combination of age, serum antibody and pepsinogen: Logistic regression analysis

Takako Takayama, Hideo Suzuki, Kosuke Okada, Takeshi Yamada, Kazushi Maruo, Yoko Saito and Yuji Mizokami

PLOS ONE, 2020, vol. 15, issue 10, 1-9

Abstract: Introduction: To prevent gastric cancer, it is important to accurately determine the presence of Helicobacter pylori (HP) infection. However, correctly identifying HP-uninfected individuals is difficult when using the combination of HP antibody and pepsinogen (PG). Objective: The aim of this study was to discriminate true HP-uninfected individuals from others without the need for endoscopic examination. Methods: A total of 684 subjects with no history of HP eradication who underwent a medical checkup at our hospital were enrolled. The “true uninfected individuals” were determined by a negative stool antigen test and no endoscopic findings of HP-associated gastritis. HP antibody was measured by the latex immunoassay method. Logistic regression analysis using a combination of noninvasive parameters was performed to develop a formula for predicting true uninfected individuals. Results: A total of 528 subjects were classified as true uninfected individuals. Logistic regression analysis showed that statistically significant factors for true uninfected individuals were age (p

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0240040

DOI: 10.1371/journal.pone.0240040

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