Search

Population-based evidence of the association between diabetes and biliary tract cancer (BTC) risk is lacking. We aimed to evaluate the association of prediabetes, diabetes, and diabetes duration with subsequent risk of BTC, including cholangiocarcinoma (CCA) and gallbladder cancer (GBC), in the Korean general population. This nationwide cohort study included 9,697,773 adults aged ≥20 years without cancer who underwent national health screening between January and December 2009. Subjects' glycemic status was categorized as normoglycemic, impaired fasting glucose (IFG), newly-diagnosed diabetes, diabetes duration <5 years, and diabetes duration ≥5 years. Incident BTC was identified using claims data. Follow-up continued until December 2017. Cox proportional hazard models were used to estimate multivariable-adjusted hazard ratios and 95% CIs of BTC. During a median follow-up of 7.2 years, 13,022 patients were newly diagnosed with BTC. Compared with the normoglycemic group, the IFG, newly-diagnosed diabetes, diabetes duration <5 years, and diabetes duration ≥5 years groups showed the following adjusted hazard ratios (95% CIs) for BTC: 1.08 (1.04–1.12), 1.31 (1.22–1.41), 1.35 (1.27–1.43), and 1.47 (1.39–1.55), respectively. BTC risk significantly increased with deteriorating glycemic status (P for trend <0.001). These results were consistent with those of CCA and GBC analyses. Both IFG and diabetes were independently associated with an increased risk of BTC, including CCA and GBC. A longer diabetes duration was associated with a further increase in BTC risk. Diabetes and even IFG may be modifiable risk factors for BTC. • Both prediabetes and diabetes were associated with an increased BTC risk. • A longer diabetes duration was associated with a further increase in BTC risk. • Prediabetes, diabetes, and diabetes duration may be risk factors for BTC. [ABSTRACT FROM AUTHOR]

Background: Variability in biological parameters has been reported to be associated with adverse health outcomes. We aimed to investigate the composite effect of the visit-to-visit variability in blood pressure, glucose, cholesterol, and body mass index on the risk of dementia. Methods: A population-based cohort study including 2,930,816 subjects without a history of dementia, hypertension, diabetes mellitus, and dyslipidemia who underwent ≥ 3 health examinations was performed. The coefficient of variation (CV), standard deviation, and variability independent of the mean were calculated as variability indices. High variability was defined as having values in the highest quartile for each parameter. Results: A total of 32,901 (1.12%) participants developed dementia, of which 74.4% and 11.0% were attributable to Alzheimer's disease and vascular dementia, respectively, during the median follow-up of 5.5 years. Individuals with higher variability of each parameter were at higher risk of future dementia. In the multivariable adjusted model, the hazard ratios and 95% confidence intervals of all-cause dementia were 1.22 (1.19–1.26) for one parameter, 1.39 (1.35–1.43) for two parameters, 1.54 (1.48–1.60) for three parameters, and 1.73 (1.60–1.88) for four parameters compared with subjects having no parameters of high variability measured as the CV. Consistent results were noted for Alzheimer's disease and vascular dementia, using other indices of variability and in various sensitivity and subgroup analyses. Conclusions: There was a linear association between the number of high variability parameters and risk of dementia. Reducing variability of metabolic parameters would be a target to preserve cognitive reserve in the general population. [ABSTRACT FROM AUTHOR]