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Genetic variants in genes underlying type B aortic dissection (unTBAD) can influence clinical decisions. Identifying these genetic predispositions may improve risk stratification and patient outcomes, potentially benefiting from surgical intervention.

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Area of Science:

  • Cardiovascular Genetics
  • Aortic Disease Research
  • Translational Medicine

Background:

  • Uncomplicated type B aortic dissection (unTBAD) has a high complication rate (up to 50%) and mortality (up to 42% within 5 years).
  • Current risk stratification for unTBAD relies on morphological and clinical parameters, with limited influence from genetic variants.
  • Genetic analysis has historically lacked evidence to guide clinical decision-making in unTBAD management.

Purpose of the Study:

  • To investigate the association between genetic variants and clinical outcomes in type B aortic dissections.
  • To explore the potential impact of genetic findings on risk stratification and clinical decision-making for unTBAD.
  • To review emerging evidence for genetic influences on unTBAD progression and treatment response.

Main Methods:

  • A comprehensive literature review of multiple electronic databases was performed.
  • Genes associated with thoracic aortic aneurysms and dissections were selected for analysis.
  • The association between identified gene variants and clinical outcomes in type B aortic dissections was investigated.

Main Results:

  • Variants in genes such as fibrillin-1, type III collagen, and TGF-β receptors were linked to clinical outcomes in type B aortic dissection.
  • Patients with variants in these genes exhibited more rapid disease progression.
  • These patients demonstrated a potential benefit from surgical intervention.

Conclusions:

  • Genetic variants underlying unTBAD etiology can significantly impact clinical decision-making and risk stratification.
  • Emerging evidence supports thoracic endovascular aortic repair for high-risk unTBAD patients.
  • Integrating genetic information into unTBAD management may improve adverse clinical outcomes.