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Recruiting NCT07534384

NCT07534384 Automated CPET Interpretation: International Validation Study

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Clinical Trial Summary
NCT ID NCT07534384
Status Recruiting
Phase —
Sponsor KU Leuven
Condition Cardiopulmonary Exercise Test
Study Type OBSERVATIONAL
Enrollment 600 participants
Start Date 2026-03-27
Primary Completion 2026-11-30

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type OBSERVATIONAL

Eligibility Fast-Check

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What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 600 participants in total. It began in 2026-03-27 with a primary completion date of 2026-11-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The goal of this observational experimental study is to validate a rule-based algorithm to automate CPET interpretation. The endpoints of this study are the following: * The change in agreement between key opinion leaders (KOLs) and the algorithm-generated CPET interpretation reports, comparing baseline to the end of the 6 month study period. * Baseline agreement between KOLs and the algorithm * Agreement at 6 months between KOLs and the algorithm * Change in self-reported confidence scores before and after using the automated report * Feedback on automated protocols generated via the platform during the 6-month implementation period * Descriptive evaluation of center-level CPET interpretation reports practices at three timepoints Patients referred for a CPET will be included to collect observational data without interference within clinical routine. KOLs will be recruited from participating centres to fill out a survey for CPET interpretations.

Eligibility Criteria

Patients referred for a cardiopulmonary exercise test (CPET): Inclusion Criteria: * Voluntary written informed consent of the participant or their legally authorized representative has been obtained prior to any screening procedures * At least 18 years of age at the time of signing the Informed Consent Form * Patients referred for a CPET during their standard clinical care Exclusion Criteria: \- If the participant has a disorder making it unable to perform a CPET, they must not proceed to be enrolled in the study and will be documented as a screen failure via applicable log forms in the Investigator Site File.

Contact & Investigator

Central Contact

Marieke Wuyts

✉ marieke.wuyts@kuleuven.be

📞 016 34 31 59

Principal Investigator

Wim Janssens

PRINCIPAL INVESTIGATOR

UZ/KU Leuven

Frequently Asked Questions

Who can join the NCT07534384 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Cardiopulmonary Exercise Test. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07534384 currently recruiting?

Yes, NCT07534384 is actively recruiting participants. Contact the research team at marieke.wuyts@kuleuven.be for enrollment information.

Where is the NCT07534384 trial being conducted?

This trial is being conducted at Aalst, Belgium, Hasselt, Belgium, Leuven, Belgium.

Who is sponsoring the NCT07534384 clinical trial?

NCT07534384 is sponsored by KU Leuven. The principal investigator is Wim Janssens at UZ/KU Leuven. The trial plans to enroll 600 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: November 2026  ·  Data Methodology