{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T23:34:00Z","timestamp":1787960040973,"version":"build-2784847793"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T00:00:00Z","timestamp":1713398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100007229","name":"Special Research Fund","doi-asserted-by":"publisher","award":["BOF23DOCBL10"],"award-info":[{"award-number":["BOF23DOCBL10"]}],"id":[{"id":"10.13039\/501100007229","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007229","name":"Special Research Fund","doi-asserted-by":"publisher","award":["BOF23KV10"],"award-info":[{"award-number":["BOF23KV10"]}],"id":[{"id":"10.13039\/501100007229","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Aims<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and results<\/jats:title>\n                  <jats:p>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). \u2018Adjusted\u2019 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\u2013Altman analyses, intraclass correlation coefficients (ICC). HR predictive equations (R\u00b2: 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%), \u2018good\u2019 ICC for VT1 (0.81, 0.82) and \u2018excellent\u2019 for VT2 (0.93). Guideline-based exercise intensity domains had higher MAPE (VT1: 6.8\u201321.3%, VT2: 5.1\u201316.7%), \u2018poor\u2019 to \u2018good\u2019 ICC for VT1, and \u2018poor\u2019 to \u2018excellent\u2019 for VT2, indicating inconsistencies related to specific VTs across guidelines.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/eurjpc\/zwae149","type":"journal-article","created":{"date-parts":[[2024,4,18]],"date-time":"2024-04-18T21:19:57Z","timestamp":1713475197000},"page":"1914-1924","source":"Crossref","is-referenced-by-count":13,"title":["Accurate prediction equations for ventilatory thresholds in cardiometabolic disease when gas exchange analysis is unavailable: development and validation"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7062-2708","authenticated-orcid":false,"given":"Juliana Goulart Prata Oliveira","family":"Milani","sequence":"first","affiliation":[{"name":"Rehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University , Wetenschapspark 7, B-3590, 3590 Diepenbeek ,","place":["Belgium"]},{"name":"Graduate Programme in Health Sciences and Technologies, University 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