Validity and Reliability of a Clinical Method for Assessment of Cardiorespiratory Fitness Using Seismocardiography
1 other identifier
observational
20
1 country
1
Brief Summary
Measurement of cardiorespiratory fitness (here VO2max) is considered a valuable tool for improving the risk prediction of cardiovascular disease and overall patient management. However, the gold standard method for determining VO2max requires both maximal exercise until exhaustion and expensive equipment, why it is not always feasible. A new method for estimating VO2max using a non-exercise prediction model with seismocardiography (SCG) information has been proposed. SCG is recording and interpretations of vibrations originating from the beating heart measured on the chest wall with an accelerometer. SCG has previously been shown to correlate to physiologic events in the cardiac cycle and thus a measure of cardiac performance. VO2max is generally believed to be limited by the rate of oxygen delivery to the muscles, where maximal cardiac output and oxygen carrying capacity of the blood are considered the main limiting factors. The theoretical basis for incorporating SCG to a VO2max prediction model is therefore evident. The previous studies assessed the prediction model in a cross-sectional study design to compare validity of the method. A requirement of further validation of the prediction model with reliability assessment is therefore needed. Biological age is a concept trying to relate the age to the health status rather than the date of birth. Biological age assesses the heterogeneity in functional metabolic status and vulnerability to disease. A Biological age model has previously been designed for health promotion interventions. However, reliability assessment of the model is needed. The purpose of the current study was therefore to:
- 1.investigate the validity and reliability of a new clinical method for estimation of maximal oxygen consumption (VO2max) using seismocardiography.
- 2.investigate the reliability of the biological age model.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jun 2020
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 29, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 2, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
November 2, 2020
CompletedFirst Submitted
Initial submission to the registry
April 26, 2022
CompletedFirst Posted
Study publicly available on registry
May 2, 2022
CompletedFebruary 15, 2024
February 1, 2024
4 months
April 26, 2022
February 14, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Validity and reliability of the SCG VO2max prediction model
For assessment of validity and reliability of the SCG VO2max prediction model, three repeated measures of SCG VO2max and the gold standard determination of VO2max will be conducted on three different test days within 14 days. The validity assessment will be based on differences and agreement between the two methods. The reliability assessment will be based on intra-method variations between test days.
From June until December
Secondary Outcomes (1)
Reliability of the biological age model
From June until December
Study Arms (1)
Healthy participants
Healthy men and women within the age of 18 and 75 yrs.
Interventions
Reliability assessment of VO2max determination with three repeated measures for two methods.
Eligibility Criteria
A representative selection of the healthy adult population
You may qualify if:
- Healthy participants
You may not qualify if:
- A history of previous or current cardiovascular disease
- Pregnancy
- Conditions that prevent maximal cycling exercise
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Copenhagenlead
- VentriJect ApScollaborator
Study Sites (1)
Xlab, Faculty of Health and Medical Sciences, University of Copenhagen
Copenhagen, 2200, Denmark
Related Publications (4)
Sorensen K, Schmidt SE, Jensen AS, Sogaard P, Struijk JJ. Definition of Fiducial Points in the Normal Seismocardiogram. Sci Rep. 2018 Oct 18;8(1):15455. doi: 10.1038/s41598-018-33675-6.
PMID: 30337579BACKGROUNDSorensen K, Poulsen MK, Karbing DS, Sogaard P, Struijk JJ, Schmidt SE. A Clinical Method for Estimation of VO2max Using Seismocardiography. Int J Sports Med. 2020 Sep;41(10):661-668. doi: 10.1055/a-1144-3369. Epub 2020 May 26.
PMID: 32455456BACKGROUNDHansen MT, Grønfeldt BM, Rømer T, Fogelstrøm M, Sørensen K, Schmidt SE, et al. Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. In: Computing in Cardiology 2021. IEEE. 2021;48(1):48-51 DOI: 10.22489/CinC.2021.165
BACKGROUNDHusted KLS, Fogelstrom M, Hulst P, Brink-Kjaer A, Henneberg KA, Sorensen HBD, Dela F, Helge JW. A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development. JMIR Res Protoc. 2020 Oct 26;9(10):e19209. doi: 10.2196/19209.
PMID: 33104001BACKGROUND
Biospecimen
Blood samples
Study Officials
- PRINCIPAL INVESTIGATOR
Jørn W Helge, Professor
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
April 26, 2022
First Posted
May 2, 2022
Study Start
June 29, 2020
Primary Completion
November 2, 2020
Study Completion
November 2, 2020
Last Updated
February 15, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share