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April 18, 2026Neurological Sciences1 citationsOpen Access

Genotype-driven cerebrovascular risk across age and sex in hereditary hemorrhagic telangiectasia

MPMatteo PalermoFCFederico CocilovoGTGianluca Trevisi

Key Points

  • To examine the impact of genotype and demographic factors on cerebrovascular risk in hereditary hemorrhagic telangiectasia.
  • Retrospective analysis of 142 patients with genetically confirmed hereditary hemorrhagic telangiectasia.
  • Systemic and neurovascular data collection stratified by age and sex.
  • Conducted univariate and multivariable logistic regression analyses for genotype-phenotype correlations.
  • Hepatic arteriovenous malformations increased significantly with age.
  • Neurological manifestations did not show age dependency.
  • ENG gene variant linked to a lower likelihood of hepatic AVMs compared to ACVRL1.
  • Age and specific genetic mutations were identified as independent predictors for brain AVMs.

Abstract

Hereditary hemorrhagic telangiectasia (HHT) is a rare autosomal dominant vascular disorder characterized by multisystem arteriovenous malformations (AVMs). Still, the influence of demographic factors and specific pathogenic variants on systemic and cerebrovascular involvement remains incompletely defined. We retrospectively included 142 patients with genetically confirmed HHT diagnosis. Systemic and neurovascular data were collected for each patient and stratified by age and sex. Then, we conducted univariate analyses for genotype-phenotype correlations after adjusting for age and sex. Afterwards, the significant associations were tested in multivariable logistic regression models to verify confounding effects. Hepatic AVMs and gastrointestinal bleeding increased significantly with age, whereas neurological manifestations showed no age dependency. In multivariable analysis for hepatic AVMs, increasing age was independently associated with hepatic involvement (p = 0.037), while ENG (p = 0.035) was associated with a lower likelihood of hepatic AVMs compared to ACVRL1. For brain AVMs, age, ENG gene, and variant truncation status were independent predictors, and the ACVRL1 c.277 C > T (p.Arg93*) mutation showed an independent association (p = 0.035). In HHT, age and gene-level effects are robust predictors of systemic AVM involvement, whereas mutation-specific associations remain difficult to evaluate. Larger multicenter studies are needed to validate variant-level risk and support personalized surveillance strategies.

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Cite This Study

Palermo et al. (2026) studied this question.

synapsesocial.com/papers/69e3216540886becb6540b13https://doi.org/10.1007/s10072-026-09018-z
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