Higher fatty liver index is associated with increased risk of incident atrial fibrillation in adults with diabetes: a prospective UK biobank study

Whether hepatic steatosis, as indexed by the fatty liver index (FLI), is associated with incident atrial fibrillation (AF) among adults with diabetes beyond shared cardiometabolic risk factors remains uncertain. To investigate the association between fatty liver index and incident atrial fibrillation in adults with diabetes. We analyzed 29,341 UK Biobank participants with baseline diabetes and no history of atrial fibrillation or atrial flutter, and no prior cardiovascular disease. FLI was evaluated both categorically (< 30, 30–59, 60–89, ≥ 90) and continuously using restricted cubic splines. Incident AF was identified through linked health records, with death treated as a competing risk. Cox models were sequentially adjusted for demographics, lifestyle, socioeconomic status, and metabolic factors; Fine–Gray models were also applied. Sensitivity analyses included 1:10 propensity score matching (FLI ≥ 60 vs. < 60). Among participants with FLI ≥ 30, AF risk was further stratified by the number of metabolic abnormalities (hypertension, obesity, dyslipidemia), grouped as 0, 1, 2, or ≥ 3. Over a median follow-up of 14.1 years (13.4–14.7), 2,890 incident AF events occurred. AF incidence rose across FLI categories, from 4.88 (95% CI: 4.21–5.63) to 9.92 (95% CI: 9.38–10.48) per 1,000 person-years comparing FLI < 30 with FLI ≥ 90, an absolute difference of 5.04 (95% CI: 4.15–5.92). In fully adjusted Cox models, FLI ≥ 90 was associated with a higher AF risk (HR 1.64, 95% CI: 1.40–1.92; p < 0.001), with attenuated estimates for intermediate FLI groups and a significant trend across categories (p < 0.001). Among individuals with FLI ≥ 30, AF risk increased stepwise with the number of metabolic abnormalities. Spline analyses showed a nonlinear association (p < 0.001), with AF risk increasing more noticeably at higher FLI values, particularly in the very high range. Among adults with diabetes, higher FLI was associated with a greater risk of incident AF after adjustment for measured demographic, lifestyle, and cardiometabolic factors, with the strongest association observed at very high FLI levels. These findings suggest that FLI may serve as an accessible marker for risk stratification in this high-risk population; however, residual confounding cannot be excluded and clinical utility for decision-making requires further validation.

Authors

Institutions

Publication Details

Journal
BMC Cardiovascular Disorders
Published
2026-02-19
DOI
https://doi.org/10.1186/s12872-026-05628-9
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Higher fatty liver index is associated with increased risk of incident atrial fibrillation in adults with diabetes: a prospective UK biobank study

Mengtong Xu, Xi Peng, Sheng Su, Likun Zhou et al.
BMC Cardiovascular Disorders
Liver Disease Diagnosis and Treatment
article

Higher fatty liver index is associated with increased risk of incident atrial fibrillation in adults with diabetes: a prospective UK biobank study

Mengtong Xu, Xi Peng, Sheng Su, Likun Zhou, ligang ding, Z L Hu, Lingmin Wu, Lihui Zheng, Le Li, Jing Luo, Tao Zhang, Minghao Zhao, Yulong Xiong, Yan Yao
article en

Abstract

Whether hepatic steatosis, as indexed by the fatty liver index (FLI), is associated with incident atrial fibrillation (AF) among adults with diabetes beyond shared cardiometabolic risk factors remains uncertain. To investigate the association between fatty liver index and incident atrial fibrillation in adults with diabetes. We analyzed 29,341 UK Biobank participants with baseline diabetes and no history of atrial fibrillation or atrial flutter, and no prior cardiovascular disease. FLI was evaluated both categorically (< 30, 30–59, 60–89, ≥ 90) and continuously using restricted cubic splines. Incident AF was identified through linked health records, with death treated as a competing risk. Cox models were sequentially adjusted for demographics, lifestyle, socioeconomic status, and metabolic factors; Fine–Gray models were also applied. Sensitivity analyses included 1:10 propensity score matching (FLI ≥ 60 vs. < 60). Among participants with FLI ≥ 30, AF risk was further stratified by the number of metabolic abnormalities (hypertension, obesity, dyslipidemia), grouped as 0, 1, 2, or ≥ 3. Over a median follow-up of 14.1 years (13.4–14.7), 2,890 incident AF events occurred. AF incidence rose across FLI categories, from 4.88 (95% CI: 4.21–5.63) to 9.92 (95% CI: 9.38–10.48) per 1,000 person-years comparing FLI < 30 with FLI ≥ 90, an absolute difference of 5.04 (95% CI: 4.15–5.92). In fully adjusted Cox models, FLI ≥ 90 was associated with a higher AF risk (HR 1.64, 95% CI: 1.40–1.92; p < 0.001), with attenuated estimates for intermediate FLI groups and a significant trend across categories (p < 0.001). Among individuals with FLI ≥ 30, AF risk increased stepwise with the number of metabolic abnormalities. Spline analyses showed a nonlinear association (p < 0.001), with AF risk increasing more noticeably at higher FLI values, particularly in the very high range. Among adults with diabetes, higher FLI was associated with a greater risk of incident AF after adjustment for measured demographic, lifestyle, and cardiometabolic factors, with the strongest association observed at very high FLI levels. These findings suggest that FLI may serve as an accessible marker for risk stratification in this high-risk population; however, residual confounding cannot be excluded and clinical utility for decision-making requires further validation.

BMC Cardiovascular DisordersVol. 26(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fu Wai Hospital (CN)
Good health and well-being
Openalex Percentile: Top 50%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.