Value of the 6-Minute Walk Test for Risk Assessment in Patients With Hypertrophic Cardiomyopathy

Yu Zhang1, Leqi Wang2, Channa Zhang2

  • 1Cardiomyopathy Ward, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

PubMed

Insights

The 6-minute walk test (6MWT) effectively predicts major adverse cardiovascular events (MACEs) in hypertrophic cardiomyopathy (HCM). This practical test is a valuable alternative to cardiopulmonary exercise testing (CPET) for risk stratification.

Area of Science:

  • Cardiology
  • Clinical Exercise Physiology
  • Preventive Medicine

Background:

  • The 6-minute walk test (6MWT) is a widely used functional capacity assessment in cardiovascular diseases.
  • Its prognostic value in hypertrophic cardiomyopathy (HCM) has not been previously established.
  • Cardiopulmonary exercise testing (CPET) is another method for risk assessment in HCM, but it is more resource-intensive.

Purpose of the Study:

  • To evaluate the prognostic significance of the 6MWT in predicting major adverse cardiovascular events (MACEs) in patients with HCM.
  • To compare the predictive performance of the 6MWT with CPET parameters, specifically peak oxygen consumption (peak V˙O₂).

Main Methods:

  • A cohort of 496 patients diagnosed with HCM who completed both 6MWT and CPET was analyzed.
  • The primary endpoint was the occurrence of MACEs over a median follow-up period of 2.7 years.

Main Results:

  • The 6MWT distance independently predicted MACEs in HCM patients (adjusted HR 1.646 per 100-m decrease, P = 0.006).
  • 6MWT distance showed a comparable ability to predict MACEs as peak V˙O₂ (C-statistic 0.643 vs. 0.616).
  • Incorporating 6MWT distance into risk models significantly improved predictive accuracy (C-statistic 0.791 vs. 0.731, P = 0.038), unlike peak V˙O₂.

Conclusions:

  • The 6MWT is a practical, cost-effective tool for risk stratification in HCM patients.
  • It serves as a viable alternative to CPET, especially when CPET is not feasible or carries higher risks.
Abstract

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