Health disparities in the risk of severe acidosis: real-world evidence from the All of Us cohort
Year: 2024
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To assess the health disparities across social determinants of health (SDoH) domains for the risk of severe acidosis independent of demographical and clinical factors. MATERIALS AND METHODS: A retrospective case-control study (n = 13 310, 1:4 matching) is performed using electronic health records (EHRs), SDoH surveys, and genomics data from the All of Us participants. The propensity score matching controls confounding effects due to EHR data availability. Conditional logistic regressions are used to estimate odds ratios describing associations between SDoHs and the risk of acidosis events, adjusted for demographic features, and clinical conditions. RESULTS: Those with employer-provided insurance and those with Medicaid plans show dramatically different risks [adjusted odds ratio (AOR): 0.761 vs 1.41]. Low-income groups demonstrate higher risk (household income less than $25k, AOR: 1.3-1.57) than high-income groups ($100-$200k, AOR: 0.597-0.867). Other high-risk factors include impaired mobility (AOR: 1.32), unemployment (AOR: 1.32), renters (AOR: 1.41), other non-house-owners (AOR: 1.7), and house instability (AOR: 1.25). Education was negatively associated with acidosis risk. DISCUSSION: Our work provides real-world evidence of the comprehensive health disparities due to socioeconomic and behavioral contributors in a cohort enriched in minority groups or underrepresented populations. CONCLUSIONS: SDoHs are strongly associated with systematic health disparities in the risk of severe metabolic acidosis. Types of health insurance, household income levels, housing status and stability, employment status, educational level, and mobility disability play significant roles after being adjusted for demographic features and clinical conditions. Comprehensive solutions are needed to improve equity in healthcare and reduce the risk of severe acidosis.
Authors: Allison E Gatz, Chenxi Xiong, Yao Chen, Shihui Jiang, Chi Mai Nguyen, Qianqian Song, Xiaochun Li, Pengyue Zhang, Michael T Eadon, Jing Su
Language: English
Subfield: Health
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $4,549
Awards: G1628476732, Healthy Americas: All of Us Research Program, G1969433312, G2187930703, G3507073571, G3639549833, University of Arizona-Banner Health All of Us Research Program , SouthEast Enrollment Center (SEEC) , G8355735039, G9000004253, G9000006085, G9000011423, G9000011771, G9000013175, G9000021463, G9000021538, G9000032397, G9000035207, G9000041091, G9000041420, G9000042288, G9000046817, G9000051044, G9000055272, G9000058670, G9000063695, G9000063797, G9000071344, G9000072038, G9000077829, G9000085573, G9000092963, G9000127796, G9000128449, G9000145785, G9000147789, G9000169788, G9000200762, G9000206094, G9000212862, G9000219966, G9000279044, G9000290334, G9000303384, Multi-modal insights of spatially distributed cells with associations of diseases and drug response, University of Florida Health Cancer Center Support Grant
OpenAlex ID: W4403389903