摘要
BACKGROUND Metabolic dysfunction-associated steatotic liver disease(MASLD)and metabolic dysfunction-associated steatohepatitis(MASH)are a growing health burden across a significant portion of the global patient population.However,these conditions seem to have disparate rates and outcomes between different ethnic populations.The combination of MASLD/MASH and type 2 diabetes increases the risk of hepatocellular carcinoma(HCC),and Hispanic patients experience the greatest burden,particularly those in South Texas.AIM To compare outcomes between Hispanic and non-Hispanic patients in the United States,while further focusing on the Hispanic population within Southeast Texas to determine whether the documented disparity in outcomes is a function of geographical circumstance or if there is a more widespread reason that all clinicians must account for in prognostic consideration.METHODS This cohort analysis was conducted with data obtained from TriNetX,LLC(“TriNetX”),a global federated health research network that provides access to deidentified medical records from healthcare organizations worldwide.Two cohort networks were used:University of Texas Medical Branch(UTMB)hospital and the United States national database collective to determine whether disparities were related to geographic regions,like Southeast Texas.RESULTS This study findings revealed Hispanics/Latinos have a statistically significant higher occurrence of HCC,type 2 diabetes mellitus,and liver fibrosis/cirrhosis in both the United States and the UTMB Hispanic/Latino groups.Allcause mortality in Hispanics/Latinos was lower within the United States group and not statistically elevated in the UTMB cohort.CONCLUSION This would appear to support that Hispanic patients in Southeast Texas are not uniquely affected compared to the national Hispanic population.
基金
Supported by Institute for Translational Sciences at the University of Texas Medical Branch,supported in part by a Clinical and Translational Science Award from the National Center for Advancing Translational Sciences at the National Institutes of Health,UL1TR001439
Moody Endowment Grant,2014-07.
