Validation of a Pre-endoscopy Risk Score for Predicting the Presence of Gastric Intestinal Metaplasia in a U.S. Population

Authors

Mimi C Tan
Ahana Sen
Eugene Kligman
Mohamed O Othman
Yan Liu
Hashem B El-Serag
Aaron P Thrift

Publication Date

10-1-2023

Journal

Gastrointestinal Endoscopy

DOI

10.1016/j.gie.2023.05.048

PMID

37207845

PMCID

PMC10524993

PubMedCentral® Posted Date

10-1-2024

PubMedCentral® Full Text Version

Author MSS

Published Open-Access

yes

Keywords

Humans, Helicobacter Infections, Helicobacter pylori, Endoscopy, Gastrointestinal, Risk Factors, Smoking, Precancerous Conditions

Abstract

BACKGROUND AND AIMS: Surveillance of gastric intestinal metaplasia (GIM) may lead to early gastric cancer detection. Our purpose was to externally validate a predictive model for endoscopic GIM previously developed in a veteran population in a second U.S.

METHODS: We previously developed a pre-endoscopy risk model for detection of GIM using 423 GIM cases and 1796 control subjects from the Houston Veterans Affairs Hospital. The model included sex, age, race/ethnicity, smoking, and Helicobacter pylori infection with an area under the receiver-operating characteristic curve (AUROC) of .73 for GIM and .82 for extensive GIM. We validated this model in a second cohort of patients from 6 Catholic Health Initiative (CHI)-St Luke's hospitals (Houston, Tex, USA) from January to December 2017. Cases were defined as having GIM on any gastric biopsy sample and extensive GIM as involving both the antrum and corpus. We further optimized the model by pooling both cohorts and assessing discrimination using AUROC.

RESULTS: The risk model was validated in 215 GIM cases (55 with extensive GIM) and 2469 control subjects. Cases were older than control subjects (59.8 vs 54.7 years) with more nonwhites (59.1% vs 42.0%) and H pylori infections (23.7% vs 10.9%). The model applied to the CHI-St Luke's cohort had an AUROC of .62 (95% confidence interval [CI], .57-.66) for predicting GIM and of .71 (95% CI, .63-.79) for predicting extensive GIM. When the Veterans Affairs and CHI-St Luke's cohorts were pooled, discrimination of both models improved (GIM vs extensive GIM AUROC: .74 vs .82).

CONCLUSIONS: A pre-endoscopy risk prediction model was validated and updated using a second U.S. cohort with robust discrimination for endoscopic GIM. This model should be evaluated in other U.S. populations to risk-stratify patients for endoscopic GIM screening.

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