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  • Title: Identifying the presence of clinically significant hepatic involvement in hereditary haemorrhagic telangiectasia using a simple clinical scoring index.
    Author: Singh S, Swanson KL, Hathcock MA, Kremers WK, Pallanch JF, Krowka MJ, Kamath PS.
    Journal: J Hepatol; 2014 Jul; 61(1):124-31. PubMed ID: 24607625.
    Abstract:
    BACKGROUND & AIMS: Though hepatic involvement is common in patients with hereditary haemorrhagic telangiectasia (HHT), symptomatic liver disease is rare but potentially fatal without liver transplantation. Factors associated with clinically significant liver disease in patients with HHT are unknown. METHODS: In this prospective cohort study, we included consecutive patients from 2001 to 2011 with definite HHT, who underwent systematic protocol screening including contrast-enhanced hepatic CT and/or abdominal ultrasound. Using a multivariable logistic regression model, we developed a simple clinical scoring index to identify the presence of symptomatic liver disease (cardiac failure, portal hypertension, or biliary disease) or 'at-risk' liver disease (asymptomatic patients, with hepatic bruit, abnormal liver biochemistry, or elevated cardiac index). RESULTS: Of 316 patients with definite HHT, 171 patients (54.1%; age 53.4 ± 15.2 y, 101 females) had hepatic involvement on imaging. Twenty-nine patients had symptomatic liver disease (22 patients with high-output heart failure); 45 patients were 'at-risk' for liver disease. Using multivariable logistic regression analysis, we derived a score using age, gender, hemoglobin and alkaline phosphatase at presentation which could accurately distinguish patients with clinically significant liver involvement from patients with no or incidental liver lesions (c-statistic=0.80). A score <3 indicated low risk (<5%) and score >6 indicated high risk (>80%) of harboring clinically significant liver disease in HHT. CONCLUSIONS: A simple scoring system can distinguish patients at low, moderate, and high risk of harboring clinically significant liver disease. With validation, this score may be used to identify patients for individualized screening and enrollment in clinical trials.
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