Identifying High-Risk Patients With Nonalcoholic Fatty Liver Disease

Abstract

Background/Objective: Patients with metabolic syndrome (MetS) are likely to have nonalcoholic fatty liver disease (NAFLD), which can progress to advanced fibrosis. Early recognition of those at highest risk may ameliorate outcomes. Noninvasive liver fibrosis assessment through validated scoring systems such as the fibrosis-4 (FIB-4) index is helpful to identify these high-risk patients, with the process ideally beginning in the primary care setting. The primary objective of this study was to determine rates of disease recognition and initial management of patients with NAFLD and advanced fibrosis in a diverse primary care setting. The secondary objective was to define demographic and clinical predictors of NAFLD identification and management in this population. Methods: Medical charts from patients seen at three university-based primary care practices in New York City from January 2016 to December 2019 were reviewed. Inclusion criteria consisted of: age 18 years and above, persistent alanine transaminase (ALT) elevation (2 values ≥40 IU/mL ≥6 mo apart), and body mass index ≥30 kg/m2. Patients with viral hepatitis or alcohol misuse were excluded. Patients were defined as likely having NAFLD if they met 2 of the following criteria indicating MetS: systolic blood pressure >135 mm Hg or diastolic blood pressure >85 mm Hg or active treatment for hypertension; high-density lipoprotein <40 g/dL; triglycerides >150 mg/dL or active treatment for hyperlipidemia; or hemoglobin A1c ≥5.7% or active treatment for insulin resistance. The primary study endpoints were the frequency of providers’ recognition of NAFLD and referral to specialist and/or for imaging based on visit diagnosis codes or chart documentation. The secondary endpoints were frequency of detecting those with NAFLD and advanced fibrosis utilizing previously defined FIB-4 index cutoffs as well as predictors of disease recognition and management. Analysis was completed using descriptive statistics and logistical regression modeling. Results: A total of 295 patients were identified as having persistently elevated ALT, a body mass index ≥30 kg/m2, and MetS consistent with likely NAFLD diagnosis. In patients meeting these criteria, ALT elevation was documented by primary care providers in 129 patients (43.7%), NAFLD was noted in chart documentation in 76 patients (25.8%), and a NAFLD ICD-10 diagnosis was assigned to 7 patients (2.4%). 50 patients (16.9%) were referred for ultrasound. Among 51 patients (17.2%) at high risk for advanced fibrosis based on FIB-4 >3.25, 23 patients (45.1%) had NAFLD recognized by their provider and 3 (5.9%) were referred to a specialist. On logistic regression, female gender, dyslipidemia, and private insurance were predictors of disease identification by the primary care physician. Conclusion: ALT elevation and NAFLD are under recognized among patients with MetS in the primary care setting. Importantly, while 17.2% of patients with likely NAFLD in our cohort were high risk for advanced fibrosis, less than half of this group had a NAFLD diagnosis recognized by their primary care provider and only three were referred to a liver specialist. Further investigation of disease recognition and management algorithms in the primary care setting are necessary to enhance NAFLD detection, implement clinical care pathways, and reduce disease progression and complications.