NCT05356871

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. 1.investigate the validity and reliability of a new clinical method for estimation of maximal oxygen consumption (VO2max) using seismocardiography.
  2. 2.investigate the reliability of the biological age model.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
20

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jun 2020

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 29, 2020

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 2, 2020

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

November 2, 2020

Completed
1.5 years until next milestone

First Submitted

Initial submission to the registry

April 26, 2022

Completed
6 days until next milestone

First Posted

Study publicly available on registry

May 2, 2022

Completed
Last Updated

February 15, 2024

Status Verified

February 1, 2024

Enrollment Period

4 months

First QC Date

April 26, 2022

Last Update Submit

February 14, 2024

Conditions

Keywords

ValidityReliabilityVO2max testingBiological age

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.

Other: VO2max validity and reliability assesment

Interventions

Reliability assessment of VO2max determination with three repeated measures for two methods.

Healthy participants

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Study Sites (1)

Xlab, Faculty of Health and Medical Sciences, University of Copenhagen

Copenhagen, 2200, Denmark

Location

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: 30337579BACKGROUND
  • Sorensen 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: 32455456BACKGROUND
  • Hansen 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

    BACKGROUND
  • Husted 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

Retention: SAMPLES WITHOUT DNA

Blood samples

Study Officials

  • Jørn W Helge, Professor

    Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen

    PRINCIPAL INVESTIGATOR

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

Locations