Unknown

Dataset Information

0

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


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 < 0.001), HP antibody (p <0.001), PGI (p <0.001), and PGII (p = 0.012). The areas under the curve (AUCs) for true uninfected individuals were the highest (0.944) upon applying the prediction formula including four parameters: age, HP antibody, PGI, and PGII. Both the sensitivity and the specificity of the four-parameter prediction formula were higher than those of the traditional three-parameter model using HP antibody, PGI, and PGI/II ratio (sensitivity: 93.2% vs. 86.6% and specificity: 88.5% vs. 82.7%). CONCLUSIONS:Our findings suggest that a model with a combination of four noninvasive parameters is useful for predicting true HP-uninfected individuals without the need for endoscopic examination.

SUBMITTER: Takayama T 

PROVIDER: S-EPMC7529238 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Takayama Takako T   Suzuki Hideo H   Okada Kosuke K   Yamada Takeshi T   Maruo Kazushi K   Saito Yoko Y   Mizokami Yuji Y  

PloS one 20201001 10


<h4>Introduction</h4>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).<h4>Objective</h4>The aim of this study was to discriminate true HP-uninfected individuals from others without the need for endoscopic examination.<h4>Methods</h4>A total of 684 subjects with no history of HP eradication who und  ...[more]

Similar Datasets

| S-EPMC7366145 | biostudies-literature
| S-EPMC5121431 | biostudies-literature
| S-EPMC5776724 | biostudies-literature
| S-EPMC6892531 | biostudies-literature
| S-EPMC4196955 | biostudies-literature
| S-EPMC6081561 | biostudies-literature
| S-EPMC5576670 | biostudies-literature
| S-EPMC4291048 | biostudies-literature
| S-EPMC2780612 | biostudies-other
| S-EPMC5724070 | biostudies-literature