Why the study?
Fatty liver index is a marker of liver steatosis with potential cardiovascular implications, but whether it predicts the risk of atrial fibrillation remained uninvestigated.
Does the fatty liver index predict the risk of incident atrial fibrillation in a general Japanese population?
Does the fatty liver index predict the risk of incident atrial fibrillation in a general Japanese population?
Answers are grounded in this paper and cite their sources.
A U-shaped association exists between the fatty liver index and incident atrial fibrillation risk in Japanese women, suggesting FLI could be a useful screening tool for AF risk in this population.
BACKGROUND: Atrial fibrillation (AF) is the most diagnosed arrhythmia in clinical settings. The fatty liver index (FLI) is a marker of liver steatosis with potential cardiovascular implications. This study investigated whether FLI could predict the risk of AF. METHODS AND RESULTS: We used data from the Suita Study, a Japanese population-based prospective cohort study. A total of 2,346 men and 3,543 women, aged 30-84 years, without prevalent AF were included and followed up. The diagnosis of AF was established during follow-up using electrocardiograms, hospital records, and death certificates. FLI was assessed during a baseline health checkup. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for incident AF per FLI quintile and log-transformed FLI. Within a median 14.5 years of follow-up, 142 men and 105 women developed AF. Compared with women in the third (middle) FLI quintile, women in the first (lowest), fourth, and fifth (highest) quintiles showed a higher risk of AF, with multivariable-adjusted HRs of 2.37 (95% CI 1.06-5.31), 2.60 (95% CI 1.30-5.17), and 2.04 (95% CI 1.00-4.18), respectively. No corresponding associations were observed in men. The change in log-transformed FLI was not associated with the risk of AF in either sex. CONCLUSIONS: A U-shaped association between FLI and AF risk was detected in Japanese women. FLI could be a screening tool to detect women at high risk of developing AF.
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Arafa et al. (2023) studied this question.
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