Publication:
Accurate Prediction Equations for Ventilatory Thresholds in Cardiometabolic Disease When Gas Exchange Analysis is Unavailable: Development and Validation.

cris.virtual.author-orcid0000-0003-4541-3995
cris.virtual.author-orcid0000-0001-7229-5985
cris.virtualsource.author-orcid2bd72a96-d8ce-462b-9f88-ef47ee5b83e0
cris.virtualsource.author-orcidac832242-ad96-4e06-b1ab-483c7b7b179f
datacite.rightsopen.access
dc.contributor.authorMilani, Juliana Goulart Prata Oliveira
dc.contributor.authorMilani, Mauricio
dc.contributor.authorMachado, Felipe Vilaça Cavallari
dc.contributor.authorWilhelm, Matthias
dc.contributor.authorMarcin, Thimo
dc.contributor.authorD'Ascenzi, Flavio
dc.contributor.authorCavigli, Luna
dc.contributor.authorKeytsman, Charly
dc.contributor.authorFalter, Maarten
dc.contributor.authorBonnechere, Bruno
dc.contributor.authorMeesen, Raf
dc.contributor.authorBraga, Fabrício
dc.contributor.authorCipriano, Graziella França Bernardelli
dc.contributor.authorCornelissen, Veronique
dc.contributor.authorVerboven, Kenneth
dc.contributor.authorJunior, Gerson Cipriano
dc.contributor.authorHansen, Dominique
dc.date.accessioned2024-10-26T17:54:55Z
dc.date.available2024-10-26T17:54:55Z
dc.date.issued2024-11-18
dc.description.abstractAIMS 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 Cross-sectional study involving 2,868 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 1,893 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). RESULTS 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.
dc.description.numberOfPages11
dc.description.sponsorshipRehabilitation und Sportmedizin
dc.description.sponsorshipUniversitätsklinik für Kardiologie
dc.identifier.doi10.48350/196092
dc.identifier.pmid38636093
dc.identifier.publisherDOI10.1093/eurjpc/zwae149
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/176857
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofEuropean journal of preventive cardiology
dc.relation.issn2047-4881
dc.relation.organizationDCD5A442BA4CE17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BB15E17DE0405C82790C4DE2
dc.subjectCardiac Rehabilitation Cardiovascular Diseases Exercise Exercise Test Exercise Therapy Health Planning Guidelines Metabolic Diseases Validation Study
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleAccurate Prediction Equations for Ventilatory Thresholds in Cardiometabolic Disease When Gas Exchange Analysis is Unavailable: Development and Validation.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage1924
oaire.citation.issue16
oaire.citation.startPage1914
oaire.citation.volume31
oairecerif.author.affiliationRehabilitation und Sportmedizin
oairecerif.author.affiliationUniversitätsklinik für Kardiologie
oairecerif.author.affiliation2Universitätsklinik für Kardiologie
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unibe.date.embargoChanged2024-04-23 07:43:56
unibe.date.licenseChanged2024-04-24 00:08:54
unibe.description.ispublishedpub
unibe.eprints.legacyId196092
unibe.refereedtrue
unibe.subtype.articlejournal

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