# Risk profiling for cirrhosis and hepatocellular carcinoma in HFE hemochromatosis using mobilizable iron stores and alcohol consumption

**Authors:** Natasha D. P. Mitchell, Timothy G. St Pierre, Louise E. Ramm, Grant A. Ramm, John K. Olynyk

PMC · DOI: 10.1038/s41598-025-99672-8 · 2025-05-08

## TL;DR

This study identifies risk factors for cirrhosis and liver cancer in people with HFE hemochromatosis, using iron overload and alcohol consumption to predict outcomes.

## Contribution

A novel logistic regression model accurately predicts cirrhosis and HCC risk in HFE hemochromatosis patients using mobilizable iron and alcohol data.

## Key findings

- A model with high accuracy (AUROC 0.966) predicts cirrhosis based on iron stores, alcohol, and age.
- High negative predictive value (99.4%) indicates low HCC risk for patients with lower iron and alcohol levels.
- Mobilizable iron stores and alcohol consumption are key factors in assessing future HCC risk in HH patients.

## Abstract

HFE hemochromatosis (HH) may cause cirrhosis and hepatocellular carcinoma (HCC). Progression to these endpoints depends on the severity of iron overload and cofactors, such as alcohol. We evaluated alcohol and iron-related risk factors in relation to cirrhosis at diagnosis and future development of HCC in a retrospective analysis of 197 HH subjects. The proportion of subjects either with cirrhosis or who developed HCC during follow-up were 29/197 (14.7%) or 10/197 (5.1%), respectively. The median (IQR) follow-up time after diagnosis was 15.2 (4.6 to 22.1) years. The median mobilizable iron stores and daily alcohol consumption (IQR) were 6.0 (3.8–11.0) g and 20 (0–40) g, respectively. An optimal logistic regression model for the odds of cirrhosis was developed by adding candidate liver insult variables (mobilizable iron, alcohol consumption, and age as a surrogate for duration of exposure) in a forward stepwise strategy using area under the receiver operating characteristic curve (AUROC) analysis and the corrected Akaike information criterion. This model demonstrated an AUROC (95% CI) of 0.966 (0.935–0.996), with sensitivity 76 (58–88)% and specificity 97 (93–99) % for prediction of cirrhosis and had a negative predictive value of 99.4 (95% CI 96.7–99.97) % for development of HCC. Thus, future risk of HCC can be assessed from mobilizable iron stores and alcohol consumption of HH subjects.

The online version contains supplementary material available at 10.1038/s41598-025-99672-8.

## Linked entities

- **Diseases:** cirrhosis (MONDO:0005155), hepatocellular carcinoma (MONDO:0007256)

## Full-text entities

- **Diseases:** cirrhosis (MESH:D005355), HFE (MESH:D006432), HCC (MESH:D006528), iron overload (MESH:D019190)

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12062215/full.md

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Source: https://tomesphere.com/paper/PMC12062215