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. 2023 Feb;57(4):418-425.
doi: 10.1111/apt.17374. Epub 2022 Dec 25.

Improved prediction of 10-year risk of severe liver disease in the general population using commonly available biomarkers

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Improved prediction of 10-year risk of severe liver disease in the general population using commonly available biomarkers

Hannes Hagström et al. Aliment Pharmacol Ther. 2023 Feb.

Abstract

Background: Estimating the risk for cirrhosis in the general population is complex. Existing prediction tools are in general unsatisfactory.

Aims: To explore if using commonly available biomarkers can improve the commonly used FIB-4 score in the identification of subgroups at risk of cirrhosis.

Methods: We used laboratory and clinical data on 126,925 individuals aged 35-79 years in Stockholm, Sweden, undergoing health examinations from 1985 to 1996. We used Swedish nationwide registries to ascertain 10-year cumulative incidence of severe liver disease, a composite of diagnoses corresponding to cirrhosis and its complications. We considered combinations of biomarkers associated with severe liver disease to identify subgroups with different risk profiles.

Results: During an average follow-up of 9.3 years, we ascertained 630 incident cases of severe liver disease (0.5%). Age, the FIB-4 score, diabetes or impaired glucose and gamma-glutamyl transferase (gGT) were the most relevant characteristics for classifying risk profiles. Using these factors, we identified 24 groups with a cumulative incidence of severe liver disease at 10 years ranging from 0.2% (age 35-65, low FIB-4, no diabetes or impaired glucose and normal gGT) to 32.1% (age 35-65, high FIB-4, diabetes or impaired glucose and high gGT).

Conclusions: Identification of subjects at increased risk of severe liver disease in the general population using the FIB-4 score can be substantially improved by adding age and specific biomarkers commonly available in the primary care setting. These parameters should be considered for inclusion in the development of future risk prediction models.

Keywords: NAFLD; alcohol-related liver disease; cirrhosis; epidemiology; prediction.

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Conflict of interest statement

This study was directly supported by a research grant from Astra Zeneca to HH:s institution.

Figures

FIGURE 1
FIGURE 1
Heat map of 10‐year cumulative incidence of severe liver disease using the four selected predictors. gGT, gamma‐glutamyltransferase. *Group contained 57 persons and no events

Comment in

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