Usefulness of Handgrip Strength to Predict Mortality in Patients With Coronary Artery Disease

Barbara Larcher1, Daniela Zanolin-Purin2, Alexander Vonbank1

  • 1Vorarlberg Institute for Vascular Investigation and Treatment (VIVIT), Feldkirch, Austria; Department of Medicine I, Academic Teaching Hospital Feldkirch, Feldkirch, Austria; Private University of the Principality of Liechtenstein, Triesen, Liechtenstein.

Insights

Handgrip strength (HGS) is a reliable indicator of skeletal muscle strength. Higher HGS in patients with coronary artery disease (CAD) independently predicts better survival and fewer cardiovascular events, highlighting its prognostic value.

Area of Science:

  • Cardiology
  • Geriatrics
  • Musculoskeletal Health

Background:

  • Handgrip strength (HGS) is a validated measure of skeletal muscle strength.
  • The prognostic value of HGS in patients with established coronary artery disease (CAD) remains unclear.

Purpose of the Study:

  • To investigate whether HGS predicts overall mortality and cardiovascular events in patients with CAD.

Main Methods:

  • Prospective study of 691 patients with angiographically proven CAD.
  • HGS measured at baseline; mortality and cardiovascular events tracked for up to 12 years.
  • Cox proportional hazard models used for survival analysis, adjusting for confounders.

Main Results:

  • During 9.2 years follow-up, 31.3% died, 27.8% had major cardiovascular events, and 56.6% had any cardiovascular event.
  • Higher HGS was associated with reduced mortality risk (HR 0.86 [0.79-0.94]; p=0.001) after full adjustment.
  • Higher HGS also predicted fewer major and any cardiovascular events (HRs 0.86 [0.78-0.94]; p=0.002 and 0.89 [0.83-0.96]; p=0.002, respectively).

Conclusions:

  • Handgrip strength is an independent predictor of overall survival in patients with coronary artery disease.
  • HGS also serves as an independent predictor of cardiovascular events in this patient population.
  • HGS offers a simple, valuable tool for risk stratification in CAD patients.

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