Incremental Value of Apical Longitudinal Strain in Predicting High-Risk Apical Aneurysms in Patients with

Xin Hu1,2, Xueqing Cheng2, Yuwei Bao2

  • 1Department of Medical Ultrasound, Wuhan Forth Hospital, Wuhan 430033, China.

PubMed

Insights

Apical longitudinal strain average (LS-avg) can identify high-risk hypertrophic cardiomyopathy patients with apical aneurysms. This metric improves risk prediction beyond traditional scores, especially for those with low sudden cardiac death risk and small aneurysms.

Area of Science:

  • Cardiology
  • Cardiovascular Imaging
  • Medical Diagnostics

Background:

  • Apical aneurysms are critical risk markers for adverse outcomes in hypertrophic cardiomyopathy (HCM).
  • Traditional sudden cardiac death (SCD) risk scores may not fully capture risk in these patients.
  • Identifying novel apical features for improved risk stratification is crucial.

Purpose of the Study:

  • To identify apical features associated with adverse outcomes in HCM patients with apical aneurysms.
  • To evaluate the incremental predictive value of these features beyond the conventional SCD risk score.

Main Methods:

  • Retrospective analysis of 65 HCM patients with apical aneurysms.
  • Utilized conventional, contrast echocardiography, and speckle tracking echocardiography (STE).
  • Median follow-up of 26 months; composite events analyzed using multivariate Cox regression.

Main Results:

  • Abnormal apical longitudinal strain average (LS-avg) significantly increased composite event risk (HR: 1.23).
  • Apical LS-avg improved risk assessment when added to SCD risk score or aneurysm diameter (NRI: 67.7% and 66.2%).
  • Apical LS-avg enhanced prognostic accuracy, particularly in patients with low SCD risk (<4%) and small aneurysms (<20 mm).

Conclusions:

  • Apical LS-avg is associated with increased cardiovascular event risk in HCM patients with apical aneurysms.
  • Apical LS-avg can help identify high-risk individuals, especially those with low conventional risk scores and small aneurysms.
  • This metric offers potential for personalized risk stratification in this specific patient cohort.