Achilles Tendon Thickness Assessed by X-ray Predicting a Pathogenic Mutation in Familial Hypercholesterolemia Gene

Hayato Tada1, Mika Hori2,3,4, Kota Matsuki5

  • 1Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences.

Insights

The 2017 Japan Atherosclerosis Society (JAS) criteria for familial hypercholesterolemia (FH) may miss patients due to an outdated Achilles tendon thickness (ATT) threshold. This study suggests lower ATT cut-offs for X-ray diagnosis, improving FH identification.

Area of Science:

  • Cardiology
  • Genetics
  • Radiology

Background:

  • The 2017 Japan Atherosclerosis Society (JAS) familial hypercholesterolemia (FH) criteria use an Achilles tendon thickness (ATT) cut-off of ≥9 mm from X-ray.
  • This threshold is based on outdated data and may lead to underdiagnosis in FH patients with ATT <9 mm.

Purpose of the Study:

  • To determine an optimal X-ray-based Achilles tendon thickness (ATT) cut-off value for differentiating familial hypercholesterolemia (FH) from non-FH individuals using genetic diagnosis.
  • To re-evaluate the diagnostic accuracy of ATT measurements in FH detection.

Main Methods:

  • Genetic analysis of FH-genes (LDLR, PCSK9), serum lipid levels, and X-ray-based ATT measurements were performed on 987 individuals (486 males, 501 females).
  • Receiver operating characteristic (ROC) analyses were conducted to identify the best ATT cut-off values for predicting FH pathogenic mutations.

Main Results:

  • ROC analysis identified optimal ATT cut-off values of 7.6 mm for males (sensitivity/specificity 0.83/0.83) and 7.0 mm for females (sensitivity/specificity 0.86/0.85).
  • Applying proposed thresholds (8.0/7.5 mm for males, 7.5/7.0 mm for females) improved sensitivity/specificity for predicting FH pathogenic mutations compared to the current 2017 JAS criteria.

Conclusions:

  • The established cut-off value of 9.0 mm for Achilles tendon thickness (ATT) in the 2017 JAS FH criteria is likely too high.
  • Lower ATT cut-off values derived from this study could enhance the diagnostic accuracy for familial hypercholesterolemia (FH) through X-ray imaging.
Abstract