Association between phase angle and aerobic capacity in cardiac rehabilitation

Imke Sornek1*, Gloria Petrasch1*, Matthias Klimek3, Sarah Sichler1, Juliana Senftinger1,2, Pietro Sartori3, Jan Riess1,2, Elisa Alba Schmidt4, Kathrin Bieri1, Hadassa Brito Da Silva1, Cornelia Haberfellner1, Silvia Herren1, Jan Vontobel1, Andreas Ziegler2,3,5,6, David Niederseer1,7,8

  1. Hochgebirgsklinik, Medicine Campus Davos, Davos, Switzerland
  2. Department of Cardiology, University Heart and Vascular Centre Hamburg-Eppendorf, Hamburg, Germany
  3. Cardio-Care, Medicine Campus Davos, Davos, Switzerland
  4. Department of Cardiology, Albertinen Krankenhaus, Hamburg, Germany
  5. Centre for Population Health Innovation (POINT), University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
  6. School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South Africa
  7. Center of Translational and Experimental Cardiology (CTEC), Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, University of Zurich, Zurich, Switzerland
  8. Christine Kühne-Center for Allergy Research and Education (CK-CARE), Medicine Campus Davos, Davos, Switzerland

*Authors contributed equally.

Background: Aerobic capacity (AC) is a prognostic factor for mortality and re-/hospitalization in cardiovascular disease patients. Hence, one aim of secondary prevention is to maintain and/or enhance AC. In the early post-intervention phase exercise stress testing is not feasible. Therefore, training strategies for AC are based on patients’ subjective rate of perceived exertion (RPE). They often misestimate intensities required for supercompensation, hence lack training effects. Phase angle (PhA) from bioelectrical impedance analysis (BIA) serves as indirect marker of cellular health, membrane integrity, and hydration status. Given the essential role of skeletal muscle and cellular function in oxygen uptake and utilization, it is physiologically plausible that PhA is associated with AC outcomes.

Purpose: Therefore, our aim was to investigate PhA as predictor for post-rehabilitation AC outcomes.

Methods: This retrospective monocentric cohort study analyzed data from patients referred to in-patient exercise-based cardiac rehabilitation (EBCR) in Switzerland between December 2022 and June 2024. Whole-body PhA was assessed using BIA, and AC with the 6-min walk test (6MWT), recording the duration of the 6-minute walk (6MWD), both pre and post EBCR. PhA was derived from the relationship between resistance (R) and reactance (Xc) at 50 kHz using the following equation: PhA (degrees) = arctan(Xc/R) × (180/π). Multivariable linear regressions were performed to examine the association between PhA and AC (6MWD at discharge and change in 6MWD). Models were adjusted for age, sex, body mass index, and 6MWD at admission.

Results: A total of 865 patients were included in this analysis (22.2% female) with a median rehabilitation stay of 20 days (Q1-Q3: 20-27) (Table 1). In multivariable analysis, admission PhA was independently associated with higher 6MWD at discharge (β = 21.26 m per 1° increase, 95%CI 9.72–32.80; p<0.001). Older age (β = −1.73 m per year, 95%CI −2.52 to −0.94; p<0.001) and higher BMI (β = −5.95 m per kg/m², 95% CI −7.64 to −4.26; p<0.001) were associated with lower 6MWD, while higher admission 6MWD was positively associated with discharge 6MWD (β = 0.44 m per m, 95%CI 0.38–0.50; p<0.001). Admission PhA was also independently associated with greater improvement in 6MWD (β = 7.42 m per 1° increase, 95%CI 3.68–11.16; p<0.001). Older age (β = −0.66 m per year, 95%CI −0.92 to −0.41; p<0.001), higher BMI (β = −2.02 m per kg/m², 95%CI −2.57 to −1.47; p<0.001), and higher admission 6MWD (β = −0.19 m per m, 95%CI −0.20 to −0.17; p<0.001) were associated with smaller improvements (Figure 1).

Conclusion: Higher PhA on admission is independently associated with both discharge AC and improvement during EBCR. Each 1° increase in PhA at EBCR initiation was associated with a 21.3 m higher 6MWD at discharge and a 7.4 m greater improvement. These results suggest that PhA, as feasible parameter of cellular health, represents an initial step toward a more objective approach to guide exercise prescription beyond subjective measures such as RPE. PhA may help identify patients with lower or higher adaptive potential.

Acknowledgement: This work was supported by the Kühne Foundation.