Evidence map›Paper›PMID 42859940›Full record

ArticleSports medicine - open2026

Validation of a Revised V-Slope Algorithm for Automated First Ventilatory Threshold Detection in Healthy Adults.

Margot Vermeiren, Kaatje Goetschalckx, Herwig Van Opstal, Jomme Claes, Leen Van Langenhoven, Nicholas Cauwenberghs, Rik Willems, Evangelos Ntalianis, Tatiana Kuznetsova, Veronique Cornelissen and 1 more

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Article in Sports medicine - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Margot VermeirenKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium. margot.vermeiren@kuleuven.be.ORCID http://orcid.org/0009-0008-6886-4215
Kaatje GoetschalckxKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Herwig Van OpstalRehabilitation in Internal Disorders, KU Leuven Department of Rehabilitation Sciences, University of Leuven, Leuven, Belgium.
Jomme ClaesRehabilitation in Internal Disorders, KU Leuven Department of Rehabilitation Sciences, University of Leuven, Leuven, Belgium.
Leen Van LangenhovenInteruniversity Centre for Biostatistics and Statistical Bioinformatics, KU Leuven and University of Hasselt, Leuven, Belgium.
Nicholas CauwenberghsKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Rik WillemsKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Evangelos NtalianisKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Tatiana KuznetsovaKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Veronique CornelissenRehabilitation in Internal Disorders, KU Leuven Department of Rehabilitation Sciences, University of Leuven, Leuven, Belgium.
Peter SinnaeveKU Leuven Department of Cardiovascular Sciences, University of Leuven, Herestraat 49, 3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe first ventilatory threshold (VT1) is a key indicator of submaximal aerobic fitness. Its determination typically relies on visual assessment, which is time-consuming and subject to interobserver variability. Automated solutions may offer a more objective, reproducible and time-efficient alternative. This study evaluated the accuracy of a revised V-slope method.

methodsThis retrospective study was conducted at University Hospitals Leuven, Belgium, using cardiopulmonary exercise test (CPET) data of 271 healthy adults collected between 2010 and 2020. Automated VT1 detection using a revised V-slope algorithm was compared with manual determination via the visual V-slope method in 262 participants with a determinable VT1. Agreement was evaluated using Bland-Altman analysis, intraclass correlation coefficients (ICC), Deming regression and equivalence testing (TOST). Interobserver agreement was evaluated using ICC.

resultsMedian oxygen uptake at VT1 was higher with automated compared to manual assessment (1151 vs. 1122 mL/min; p < 0.001). Mean difference was 29 mL/min (95% CI [19, 40]. Relative mean bias was 2.2% ± 7.1% (LoA [- 11.7 to 16.0%], with excellent agreement (ICC 0.97 [95% CI 0.96-0.98] and a Deming regression slope of 0.95 [95% CI 0.92-0.99] and intercept of 26.1 mL/min [95% CI -11.9 to 64.7]. TOST with equivalence bounds [- 100, 100] was significant (p < 0.001; 90% CI [20, 38]).

conclusionThe revised V-slope algorithm demonstrated strong group-level agreement with visual assessment for VT1 determination, supporting the reliability and practical applicability for large-scale research applications in healthy adults. However, given the observed individual-level variability, caution is warranted when applying automated VT1 values to guide exercise prescription for individual patients without expert review.

Indexed as

Cardiopulmonary exercise testingRehabilitationVentilatory threshold

Identifiers

PMID42859940
PMCPMC13654909

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