S2351 The Unequal Burden: Insights into Autoimmune Liver Disease in US Minority Populations from All of Us

Introduction: Autoimmune liver diseases (AILDs), including autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC), are chronic inflammatory conditions. Minority groups face higher health disparities, per the CDC. We conducted a cross-sectional analysis of AILD burden using the NIH’s All of Us (AoU) database, which focuses on underrepresented populations. Methods: We analyzed data from the NIH’s All of Us Research Program, including adults (age >18) with electronic health records and SNOMED codes for autoimmune hepatitis (408335007), primary biliary cholangitis (4135822), primary sclerosing cholangitis (4058821), or autoimmune liver disease (4340391). Chi-square or Fisher’s exact tests were used for comparison between groups with and without AILD. Marginal and adjusted odds ratios were estimated via simple and multivariable logistic regression, adjusting for sociodemographics and key comorbidities. Analyses were conducted on the AoU Jupyter platform using R version 4.4.0. Results: Out of 410,138 participants, 764 (0.19% or 186 per 100,000) had an AILD diagnosis. Compared to those without AILD, these individuals were more likely to be woman (73.8% vs 60.0%, P < 0.01), under 65 years (45.8% vs 33.1%, P < 0.01), and have an annual income below $25,000 (23.8% vs 20.0%, P < 0.03). Race-specific prevalence was highest among White participants (0.21%; 95% CI: 0.17–0.24), followed by Black (0.17%) and Other racial groups (0.16%). AILD was significantly associated with several comorbidities, including psoriasis (4.8% vs 1.6%), atopic dermatitis (3.9% vs 1.5%), rheumatoid arthritis (9.8% vs 1.9%), Sjögren’s syndrome (8.5% vs 0.8%), systemic lupus erythematosus (10.0% vs 0.9%), celiac disease (3.7% vs 0.5%), systemic scleroderma (4.3% vs 0.2%), and hypothyroidism (25.8% vs 7.5%) (all P < 0.01). Multivariable logistic regression, adjusting for sociodemographics and comorbidities, showed increased odds of AILD among participants >65 years (AOR 1.52; 95% CI: 1.31–1.77), Hispanic (AOR 1.40; 95% CI: 1.13–1.75), disabled (AOR 1.73; 95% CI: 1.41–2.12), and woman (AOR 1.56; 95% CI: 1.31–1.85). Conclusion: Our findings highlight significant disparities in the prevalence and diagnosis of autoimmune liver diseases (AILDs), underscoring the urgent need for greater inclusion of underrepresented populations in epidemiological research to advance health equity and improve care delivery.

Authors

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001136864.73439.97
Primary Topic
Liver Diseases and Immunity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S2351 The Unequal Burden: Insights into Autoimmune Liver Disease in US Minority Populations from All of Us

Kanwal Bains, Ravi Teja Pasam, Nathan Cunicelli
The American Journal of Gastroenterology
Liver Diseases and Immunity
article

S2351 The Unequal Burden: Insights into Autoimmune Liver Disease in US Minority Populations from All of Us

Kanwal Bains, Ravi Teja Pasam, Nathan Cunicelli
article en

Abstract

Introduction: Autoimmune liver diseases (AILDs), including autoimmune hepatitis (AIH), primary biliary cholangitis (PBC), and primary sclerosing cholangitis (PSC), are chronic inflammatory conditions. Minority groups face higher health disparities, per the CDC. We conducted a cross-sectional analysis of AILD burden using the NIH’s All of Us (AoU) database, which focuses on underrepresented populations. Methods: We analyzed data from the NIH’s All of Us Research Program, including adults (age >18) with electronic health records and SNOMED codes for autoimmune hepatitis (408335007), primary biliary cholangitis (4135822), primary sclerosing cholangitis (4058821), or autoimmune liver disease (4340391). Chi-square or Fisher’s exact tests were used for comparison between groups with and without AILD. Marginal and adjusted odds ratios were estimated via simple and multivariable logistic regression, adjusting for sociodemographics and key comorbidities. Analyses were conducted on the AoU Jupyter platform using R version 4.4.0. Results: Out of 410,138 participants, 764 (0.19% or 186 per 100,000) had an AILD diagnosis. Compared to those without AILD, these individuals were more likely to be woman (73.8% vs 60.0%, P < 0.01), under 65 years (45.8% vs 33.1%, P < 0.01), and have an annual income below $25,000 (23.8% vs 20.0%, P < 0.03). Race-specific prevalence was highest among White participants (0.21%; 95% CI: 0.17–0.24), followed by Black (0.17%) and Other racial groups (0.16%). AILD was significantly associated with several comorbidities, including psoriasis (4.8% vs 1.6%), atopic dermatitis (3.9% vs 1.5%), rheumatoid arthritis (9.8% vs 1.9%), Sjögren’s syndrome (8.5% vs 0.8%), systemic lupus erythematosus (10.0% vs 0.9%), celiac disease (3.7% vs 0.5%), systemic scleroderma (4.3% vs 0.2%), and hypothyroidism (25.8% vs 7.5%) (all P < 0.01). Multivariable logistic regression, adjusting for sociodemographics and comorbidities, showed increased odds of AILD among participants >65 years (AOR 1.52; 95% CI: 1.31–1.77), Hispanic (AOR 1.40; 95% CI: 1.13–1.75), disabled (AOR 1.73; 95% CI: 1.41–2.12), and woman (AOR 1.56; 95% CI: 1.31–1.85). Conclusion: Our findings highlight significant disparities in the prevalence and diagnosis of autoimmune liver diseases (AILDs), underscoring the urgent need for greater inclusion of underrepresented populations in epidemiological research to advance health equity and improve care delivery.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 48%
Liver Diseases and Immunity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.