Accurate prediction equations for ventilatory thresholds in cardiometabolic disease when gas exchange analysis is unavailable: development and validation

Author:

Milani Juliana Goulart Prata Oliveira12ORCID,Milani Mauricio123ORCID,Machado Felipe Vilaça Cavallari134ORCID,Wilhelm Matthias5ORCID,Marcin Thimo5ORCID,D’Ascenzi Flavio6ORCID,Cavigli Luna6ORCID,Keytsman Charly3ORCID,Falter Maarten378ORCID,Bonnechere Bruno1910ORCID,Meesen Raf1ORCID,Braga Fabrício1112ORCID,Cipriano Graziella França Bernardelli213ORCID,Cornelissen Veronique14ORCID,Verboven Kenneth14ORCID,Cipriano Junior Gerson215ORCID,Hansen Dominique134ORCID

Affiliation:

1. Rehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University , Wetenschapspark 7, B-3590, 3590 Diepenbeek , Belgium

2. Graduate Programme in Health Sciences and Technologies, University of Brasilia (UnB) , Brasilia, DF , Brazil

3. Heart Centre Hasselt, Jessa Hospital , Campus Virga Jesse, Stadsomvaart 11, 3500 Hasselt , Belgium

4. Biomedical Research Institute (BIOMED), Faculty of Medicine and Life Sciences , Agoralaan, 3590 Diepenbeek , Belgium

5. Centre for Rehabilitation & Sports Medicine, Inselspital, Bern University Hospital, University of Bern , Bern , Switzerland

6. Department of Medical Biotechnologies, Sports Cardiology and Rehab Unit, University of Siena , Siena , Italy

7. Faculty of Medicine and Life Sciences, Hasselt University , Hasselt , Belgium

8. Department of Cardiology, Faculty of Medicine, Katholieke Universiteit Leuven , Leuven , Belgium

9. Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, University of Hasselt , Diepenbeek , Belgium

10. Centre of expertise in Care Innovation, Department of PXL—Healthcare, PXL University of Applied Sciences and Arts , Hasselt , Belgium

11. Laboratório de Performance Humana , Rio de Janeiro , Brazil

12. State University of Rio de Janeiro , Rio de Janeiro , Brazil

13. Rehabilitation Sciences Programme, University of Brasilia (UnB) , Brasilia, DF , Brazil

14. Department of Rehabilitation Sciences, Katholieke Universiteit Leuven , Leuven , Belgium

15. Graduate Program in Human Movement and Rehabilitation of Evangelical (PPGMHR), UniEVANGÉLICA , Anápolis , Brazil

Abstract

Abstract Aims To develop and validate equations predicting heart rate (HR) at the first and second ventilatory thresholds (VTs) and an optimized range-adjusted prescription for patients with cardiometabolic disease (CMD). To compare their performance against guideline-based exercise intensity domains. Methods and results Cross-sectional study involving 2868 CMD patients from nine countries. HR predictive equations for first and second VTs (VT1, VT2) were developed using multivariate linear regression with 975 cycle-ergometer cardiopulmonary exercise tests (CPET). ‘Adjusted’ percentages of peak HR (%HRpeak) and HR reserve (%HRR) were derived from this group. External validation with 1893 CPET (cycle-ergometer or treadmill) assessed accuracy, agreement, and reliability against guideline-based %HRpeak and %HRR prescriptions using mean absolute percentage error (MAPE), Bland–Altman analyses, intraclass correlation coefficients (ICC). HR predictive equations (R²: 0.77 VT1, 0.88 VT2) and adjusted %HRR (VT1: 42%, VT2: 77%) were developed. External validation demonstrated superiority over widely used guideline-directed intensity domains for %HRpeak and %HRR. The new methods showed consistent performance across both VTs with lower MAPE (VT1: 7.1%, VT2: 5.0%), ‘good’ ICC for VT1 (0.81, 0.82) and ‘excellent’ for VT2 (0.93). Guideline-based exercise intensity domains had higher MAPE (VT1: 6.8–21.3%, VT2: 5.1–16.7%), ‘poor’ to ‘good’ ICC for VT1, and ‘poor’ to ‘excellent’ for VT2, indicating inconsistencies related to specific VTs across guidelines. 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. They offer a superior alternative for prescribing moderate intensity exercise when CPET is unavailable.

Funder

Special Research Fund

Publisher

Oxford University Press (OUP)

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