Accurate prediction equations for ventilatory thresholds in cardiometabolic disease when gas exchange analysis is unavailable: development and validation
Authors' conclusion
Developed and validated HR predictive equations and the optimized %HRR for CMD patients for determining VT1 and VT2 outperformed the guideline-based exercise intensity domains and showed ergometer interchangeability.
Study context
- Population
- Patients with cardiometabolic disease (CMD)975 development, 1893 validation cardiopulmonary exercise tests (CPET)
- Participants
- 2,868 patients
- Exposure
- New HR predictive equations and adjusted %HRR vs guideline-based %HRpeak and %HRR intensity domains
- Outcome
- Accuracy, agreement and reliability of HR at VT1 and VT2 vs CPET (MAPE, Bland-Altman, ICC)
Methodological detailsdevelopment and external validation, nine countries
- Development and external validation
- Nine countries
Main finding
As reported in the abstract
Prediction of HR at ventilatory thresholds (VTs), external validation
| Group | Mean absolute percentage error (MAPE) VTs (VT1) | MAPE VT2 | Intraclass correlation coefficients (ICC) VT1 | ICC VT2 |
|---|---|---|---|---|
| New methods | 7.1% | 5.0% | 0.81, 0.82 | 0.93 |
| Guideline-based domains | 6.8-21.3% | 5.1-16.7% | 'poor' to 'good' | 'poor' to 'excellent' |
Mean absolute percentage error (MAPE) VTs (VT1)
New methods7.1%
Guideline-based domains6.8-21.3%
MAPE VT2
New methods5.0%
Guideline-based domains5.1-16.7%
Intraclass correlation coefficients (ICC) VT1
New methods0.81, 0.82
Guideline-based domains'poor' to 'good'
ICC VT2
New methods0.93
Guideline-based domains'poor' to 'excellent'
- Equations R² VT1
- 0.77
- Equations R² VT2
- 0.88
Observational data: associations, not effects.
Original publication
Accurate prediction equations for ventilatory thresholds in cardiometabolic disease when gas exchange analysis is unavailable: development and validation. Eur J Prev Cardiol. Published 18 April 2024. doi:10.
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