The hidden epidemic: Uncovering incidental fatty liver disease and its metabolic comorbidities by datamining in a hospital data lake – A real-world cohort study

Abstract

AimsTo identify individuals with incidental fatty liver disease (FLD), and to evaluate its prevalence, metabolic co-morbidities and impact on follow-up. MethodsWe leveraged the data-lake of Helsinki Uusimaa Hospital district (Finland) with a population of 1.7 million (specialist and primary care). A phrase recognition script on abdominal imaging reports (2008–2020) identified/excluded FLD or cirrhosis; we extracted ICD-codes, laboratory and BMI data. ResultsExcluding those with other liver diseases, the prevalence of FLD was 29% (steatosis yes/no, N=61,271/155,521; cirrhosis, N=3502). The false positive and negative rates were 5–6%. Only 1.6% of the FLD cases had the ICD code recorded and 32% had undergone full clinical evaluation for associated co-morbidities. Of the 35–65-year-old individuals with FLD, 20% had diabetes, 42% prediabetes and 28% a high liver fibrosis index. FLD was independently predicted by diabetes (OR 1.56, CI 1.46–1.66, p = 2.3 * 10^-41), BMI (1.46, 1.42–1.50, p = 1.7 * 10^-154) and plasma triglyceride level (1.5, 1.43–1.57, p = 3.5 * 10^-68). Alanine aminotransferase level mildly increased (1.12, 1.08–1.16, p = 2.2 * 10^-9) and high age decreased the risk (0.92, 0.89–0.94, p = 4.65*10^-09). Half of the cases had normal ALT. ConclusionsThe incidental radiological finding of FLD is reliable and associated with metabolic risks but largely ignored, although it should lead to metabolic and hepatic follow-up.