Abstract
Identifying at-risk individuals before progression to advanced liver disease is highly desirable. Åberg et al. developed and validated a risk prediction model for incident chronic liver disease in the general population, using a derivation cohort comprised of 25,760 individuals, and 2 validation cohorts. Multivariable Cox regression analyses were used to develop prediction models. The best model included age, sex, waist-hip ratio, diabetes, alcohol consumption, smoking status and gamma-glutamyltransferase measurement.
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