Lean or diabetic subtypes predict increased all-cause and disease-specific mortality in metabolic-associated fatty liver disease

Author:

Chung Goh Eun,Yu Su Jong,Yoo Jeong-Ju,Cho Yuri,Lee Kyu-na,Shin Dong Wook,Kim Donghee,Kim Yoon Jun,Yoon Jung-Hwan,Han Kyungdo,Cho Eun JuORCID

Abstract

Abstract Background Metabolic-associated fatty liver disease (MAFLD) encompasses diverse disease groups with potentially heterogeneous clinical outcomes. We investigated the risk of all-cause and disease-specific mortality in MAFLD subgroups. Methods Using the Korean National Health Insurance Service database, participants were divided into four subgroups: no MAFLD, MAFLD-diabetes, MAFLD-overweight/obese, and MAFLD-lean. Hazard ratios (HRs) and 95% confidence interval (CI) values for all-cause and disease-specific mortality according to MAFLD subgroups were analyzed using Cox proportional hazards models. Results Among 9,935,314 participants, those with MAFLD-diabetes showed the highest risk of all-cause and disease-specific mortality. The HRs (95% CI) for all-cause mortality were 1.61 (1.59–1.63), 1.36 (1.34–1.38), and 1.19 (1.18–1.20) in the MAFLD-diabetes, MAFLD-lean, and MAFLD-overweight/obese groups, respectively. The magnitude of cardiovascular disease and cancer-related risk showed the same pattern. The risk of liver-related mortality in the MAFLD-lean group (HR: 2.84, 95% CI: 2.72–2.97) was comparable with that in the MAFLD-diabetes group (HR: 2.85, 95% CI: 2.75–2.95). When stratified by body mass index, liver-related mortality was the highest in MAFLD-lean individuals in the underweight group (HR, 5.03, 95% CI: 4.23–5.97). Conclusions The MAFLD-lean and MAFLD-diabetes groups had a higher risk of all-cause and disease-specific mortality than did the MAFLD-overweight/obese group. Classifying MAFLD subgroups based on metabolic phenotypes might help risk stratification of patients with MAFLD.

Funder

Seoul National University Hospital

Liver Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

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