Improved prediction of 10-year risk of severe liver disease in the general population using commonly available biomarkers
- PMID: 36566508
- PMCID: PMC10107149
- DOI: 10.1111/apt.17374
Improved prediction of 10-year risk of severe liver disease in the general population using commonly available biomarkers
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.
© 2022 The Authors. Alimentary Pharmacology & Therapeutics published by John Wiley & Sons Ltd.
Conflict of interest statement
This study was directly supported by a research grant from Astra Zeneca to HH:s institution.
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Comment in
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Editorial: moving from the clinic towards population hepatology.Aliment Pharmacol Ther. 2023 Mar;57(6):727. doi: 10.1111/apt.17394. Aliment Pharmacol Ther. 2023. PMID: 36821757 No abstract available.
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Letter: grouping traditional biomarkers that are within reach has great utility - further validation is needed.Aliment Pharmacol Ther. 2023 May;57(9):1050-1051. doi: 10.1111/apt.17459. Aliment Pharmacol Ther. 2023. PMID: 37053486 No abstract available.
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