ABSTRACT
Objectives
To describe the clinical profile of nonalcoholic fatty liver disease (NAFLD) or nonalcoholic steatohepatitis (NASH) patients in a Texas integrated delivery network (IDN) and elucidate the local relationship between patient factors and the risk of advanced fibrosis.
Methods
This observational, retrospective, cross-sectional study utilized existing data from the electronic health record at a large Texas IDN. Data was collected during the study period from 1 January 2019, to 1 March 2023. Patient characteristics, comorbidities, labs, and medication orders were collected from the most recent encounter in which a Fibrosis-4 (FIB-4) score could be calculated. Chi square tests and analysis of variance (ANOVA) tests were conducted to evaluate differences among the three fibrosis risk categories. Ordinal logistic regression was utilized to assess associations between select variables and a higher risk of advanced fibrosis.
Results
A total of 56,253 patients were included in the study. 34,839 (61.9%) were Low-Risk 15,578 (27.7%) were Intermediate-Risk, and 5,836 (10.4%) were High-Risk of advanced fibrosis. Results showed that up to 70.4% of patients within a risk group were obese. Only 49.5% of patients in the High-Risk group had at least one gastroenterologist or hepatologist visit. Males, Medicare patients, former smokers, and those with hypertension, type 2 diabetes, and chronic kidney disease were associated with a higher risk of advanced fibrosis.
Conclusion
This study highlights the need for early screening and proactive management of metabolic risk factors for patients with NAFLD/NASH. The findings indicate a notable prevalence of obesity in the study population, a need for specialist referral for those at High-Risk of advanced fibrosis, and the importance of routine labs to evaluate metabolic factors. Primary care providers may be ideal providers to target these interventions and address this care need.
Declaration of financial/other relationships
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.
Author contributions
Alexandra Ritenour: conceptualization, methodology, writing – review & editing; Jennifer Vincent: conceptualization, methodology, writing – review & editing; Chanhyun Park: methodology, formal analysis, writing – review & editing; Karen Rascati: methodology, formal analysis, writing – review & editing; Paul Godley: conceptualization, data curation, writing – review & editing.
Data availability statement
The dataset used in this study is derived from the electronic health records of Baylor Scott & White Health. Due to privacy and ethical considerations, patient information contained in the dataset cannot be shared or made publicly available.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/00325481.2023.2288560