Introduction
Although an association between metabolic dysfunction‐associated fatty liver disease (MAFLD) and cardiovascular disease or overall mortality has been reported, it is unclear whether there is an association between MAFLD and cancer incidence or mortality. We aimed to investigate the differential risk of all‐ and site‐specific cancer incidence and mortality according to MAFLD subgroups categorized by additional etiologies of liver disease.
Methods
Using the Korean National Health Insurance Service database, we stratified the participants into three groups: (1) single‐etiology MAFLD (S‐MAFLD) or MAFLD of pure metabolic origin; (2) mixed‐etiology MAFLD (M‐MAFLD) or MAFLD with additional etiological factor(s) (i.e., concomitant liver diseases and/or heavy alcohol consumption); and (3) non‐MAFLD. Hepatic steatosis and fibrosis were defined using the fatty liver index and the BARD score, respectively. Cox proportional hazards regression was performed to estimate the risk of cancer events.
Results
Among the 9,718,182 participants, the prevalence of S‐MAFLD and M‐MAFLD was 29.2% and 6.7%, respectively. During the median 8.3 years of follow‐up, 510,330 (5.3%) individuals were newly diagnosed with cancer, and 122,774 (1.3%) cancer‐related deaths occurred among the entire cohort. Compared with the non‐MAFLD group, the risk of all‐cancer incidence and mortality was slightly higher among patients in the S‐MAFLD group (incidence, adjusted hazard ratio [aHR] = 1.03; 95% confidence interval [CI]: 1.02−1.04; mortality, aHR = 1.06; 95% CI: 1.04−1.08) and highest among patients with M‐MAFLD group (incidence, aHR = 1.31; 95% CI: 1.29−1.32; mortality, aHR = 1.45; 95% CI: 1.42−1.48, respectively). The M‐MAFLD with fibrosis group (BARD score ≥ 2) showed the highest relative risk of all‐cancer incidence (aHR = 1.38, 95% CI = 1.36–1.39), followed by the M‐MAFLD without fibrosis group (aHR = 1.09, 95% CI = 1.06–1.11). Similar trends were observed for cancer‐related mortality.
Conclusions
MAFLD classification, by applying additional etiologies other than pure metabolic origin, can be used to identify a subgroup of patients with poor cancer‐related outcomes.