- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05122793
"HerzCheck" - Detection of Early Heart Failure Using Telemedicine in Structurally Weak Regions
January 5, 2024 updated by: Sebastian Kelle, German Heart Institute
"HerzCheck" - Erkennung Und Prävention Einer frühen Herzinsuffizienz Mittels Telemedizinischer Verfahren in Strukturschwachen Regionen
This study is intended to provide a basis for decision-making for the improved medical care of patients with asymptomatic heart failure, especially in structurally weak regions.
Study Overview
Status
Active, not recruiting
Intervention / Treatment
Detailed Description
The aim of the study is the early detection of asymptomatic heart failure with a quality-assured cardiac screening MRI in the population in structurally weak regions and especially in patients with risk factors for the occurrence of heart failure.
The diagnosis is followed by early initiation of appropriate therapeutic measures to improve the prognosis of the affected patients, avoid hospitalisations and save therapy costs, and is combined with recommended measures to minimise risk factors for the development of heart failure.
The project includes a prospective, monocentric, randomised controlled clinical trial with blinded assessment of the endpoint (PROBE design).
Within the scope of the study, 4,500 patients aged between 40 and 69 years who have characteristic risk factors for the development of heart failure were examined using a mobile cardiac screening MRI in the federal states of Brandenburg and Mecklenburg-Western Pomerania within Germany.
Study Type
Interventional
Enrollment (Actual)
4500
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Sebastian Kelle, MD
- Phone Number: 0049 30 4593 1182
- Email: kelle@dhzb.de
Study Contact Backup
- Name: Gisela Thiede, PhD
- Phone Number: 0049 1520 9192843
- Email: gthiede@dhzb.de
Study Locations
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Berlin, Germany, 13353
- German Heart Institute
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
40 years to 69 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Smoking
- Hypercholesterolaemia
- Arterial hypertension
- Adiposity
- Diabetes
- Kidney Insufficiency
- Health insurance
Exclusion Criteria:
- HFrEF
- MRI-exclusion criteria
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Prevention Group
In addition to the usual treatment (SoC), the prevention group receives an innovative prevention offer tailored to the severity of the heart failure (telemedical connection via health app as well as additional therapy recommendations).
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Improvement of outcomes through lifestyle changes and improved health literacy
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No Intervention: Control Group
The control group receives the current standard treatment according to the valid guidelines (Standard of Care = SoC).
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Improved GLS
Time Frame: 12 months
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Improved GLS at after one year compared to baseline.
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12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Body weight in kilograms and body height in meters will be aggregated to report BMI in kg/m^2
Time Frame: 12 months
|
BMI at baseline compared to after one year.
|
12 months
|
Systolic and diastolic blood pressure in mmHg
Time Frame: 12 months
|
blood pressure at baseline compared to after one year.
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12 months
|
Heart rate in BPM
Time Frame: 12 months
|
heart rate at baseline compared to after one year.
|
12 months
|
Quality of life questionnaire 1 in Likert scale
Time Frame: 12 months
|
Quality of life at after one year compared to baseline.
Min.
value: 0, max value: 3; higher score: better outcome.
|
12 months
|
Quality of life questionnaire 2 in Likert scale
Time Frame: 12 months
|
Quality of life at after one year compared to baseline.
Min.
value: 1, max value: 5; higher score: depending on question.
|
12 months
|
laboratory parameters: Iron, transferrin and creatinine
Time Frame: 12 months
|
laboratory parameters in µmol/l at baseline compared to after one year.
|
12 months
|
laboratory parameters: Sodium, potassium, chloride, total cholesterol, triglycerides, HDL cholesterole, LDL cholesterole, hemoglobin and MCHC
Time Frame: 12 months
|
laboratory parameters in mmol/l at baseline compared to after one year.
|
12 months
|
laboratory parameters: White cells and platelets
Time Frame: 12 months
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laboratory parameters in GPt/l at baseline compared to after one year.
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12 months
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laboratory parameters: MCV
Time Frame: 12 months
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laboratory parameter in fl at baseline compared to after one year.
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12 months
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laboratory parameters: RDW-SD
Time Frame: 12 months
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laboratory parameter in fl at baseline compared to after one year.
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12 months
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laboratory parameter: HbA1c
Time Frame: 12 months
|
laboratory parameter in mmol/mol at baseline compared to after one year.
|
12 months
|
laboratory parameter: red cells
Time Frame: 12 months
|
laboratory parameter in TPt/l at baseline compared to after one year.
|
12 months
|
laboratory parameter: MCH
Time Frame: 12 months
|
laboratory parameter in fmol at baseline compared to after one year.
|
12 months
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laboratory parameter: hematocrit
Time Frame: 12 months
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laboratory parameter in l/l at baseline compared to after one year.
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12 months
|
laboratory parameter: NT-proBNP
Time Frame: 12 months
|
laboratory parameter in pmol/l at baseline compared to after one year.
|
12 months
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laboratory parameter: transferrin saturation
Time Frame: 12 months
|
laboratory parameter in % at baseline compared to after one year.
|
12 months
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laboratory parameter: ferritin
Time Frame: 12 months
|
laboratory parameter in µg/l at baseline compared to after one year.
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12 months
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hospitalisations of cardiac origin, arrhythmias or death
Time Frame: 12 months
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Appearance of hospitalisations of cardiac origin, arrhythmias or death
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12 months
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Sebastian Kelle, MD, German Heart Institute
- Study Chair: Katharina Graffmann-Weschke, MD, AOK Nordost
- Study Chair: Matthias Issing, PhD, medneo GmbH
- Study Chair: Tim Friede, PhD, Medical Statistics, University Medicine of Goettingen
- Study Chair: Stephanie Stock, MD, University of Cologne
- Study Chair: Norbert Frey, MD, University Hospital Heidelberg
- Study Chair: Bjoern Remppis, MD, Herz- und Gefaesszentrum Bad Bevensen
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, Falk V, Gonzalez-Juanatey JR, Harjola VP, Jankowska EA, Jessup M, Linde C, Nihoyannopoulos P, Parissis JT, Pieske B, Riley JP, Rosano GMC, Ruilope LM, Ruschitzka F, Rutten FH, van der Meer P; ESC Scientific Document Group. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC)Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016 Jul 14;37(27):2129-2200. doi: 10.1093/eurheartj/ehw128. Epub 2016 May 20. No abstract available. Erratum In: Eur Heart J. 2016 Dec 30;:
- Friede T, Kieser M. Sample size recalculation in internal pilot study designs: a review. Biom J. 2006 Aug;48(4):537-55. doi: 10.1002/bimj.200510238.
- Biering-Sorensen T, Biering-Sorensen SR, Olsen FJ, Sengelov M, Jorgensen PG, Mogelvang R, Shah AM, Jensen JS. Global Longitudinal Strain by Echocardiography Predicts Long-Term Risk of Cardiovascular Morbidity and Mortality in a Low-Risk General Population: The Copenhagen City Heart Study. Circ Cardiovasc Imaging. 2017 Mar;10(3):e005521. doi: 10.1161/CIRCIMAGING.116.005521.
- Liu B, Dardeer AM, Moody WE, Hayer MK, Baig S, Price AM, Leyva F, Edwards NC, Steeds RP. Reference ranges for three-dimensional feature tracking cardiac magnetic resonance: comparison with two-dimensional methodology and relevance of age and gender. Int J Cardiovasc Imaging. 2018 May;34(5):761-775. doi: 10.1007/s10554-017-1277-x. Epub 2017 Nov 27.
- Huber A, Oldridge N, Benzer W, Saner H, Hofer S. Validation of the German HeartQoL: a short health-related quality of life questionnaire for cardiac patients. Qual Life Res. 2020 Apr;29(4):1093-1105. doi: 10.1007/s11136-019-02384-6. Epub 2019 Dec 12.
- Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O; ESC Scientific Document Group. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020 Jan 1;41(1):111-188. doi: 10.1093/eurheartj/ehz455. No abstract available. Erratum In: Eur Heart J. 2020 Nov 21;41(44):4255.
- Rademakers F, Nagel E. Is Global Longitudinal Strain a Superior Parameter for Predicting Outcome After Myocardial Infarction? JACC Cardiovasc Imaging. 2018 Oct;11(10):1458-1460. doi: 10.1016/j.jcmg.2017.11.005. Epub 2017 Dec 13. No abstract available.
- Schneider JE, Stojanovic I. Economic evaluation of cardiac magnetic resonance with fast-SENC in the diagnosis and management of early heart failure. Health Econ Rev. 2019 May 23;9(1):13. doi: 10.1186/s13561-019-0229-7.
- Tanacli R, Hashemi D, Lapinskas T, Edelmann F, Gebker R, Pedrizzetti G, Schuster A, Nagel E, Pieske B, Dungen HD, Kelle S. Range Variability in CMR Feature Tracking Multilayer Strain across Different Stages of Heart Failure. Sci Rep. 2019 Nov 11;9(1):16478. doi: 10.1038/s41598-019-52683-8.
- Unkel S, Amiri M, Benda N, Beyersmann J, Knoerzer D, Kupas K, Langer F, Leverkus F, Loos A, Ose C, Proctor T, Schmoor C, Schwenke C, Skipka G, Unnebrink K, Voss F, Friede T. On estimands and the analysis of adverse events in the presence of varying follow-up times within the benefit assessment of therapies. Pharm Stat. 2019 Mar;18(2):166-183. doi: 10.1002/pst.1915. Epub 2018 Nov 20.
- Cosentino F, Grant PJ, Aboyans V, Bailey CJ, Ceriello A, Delgado V, Federici M, Filippatos G, Grobbee DE, Hansen TB, Huikuri HV, Johansson I, Juni P, Lettino M, Marx N, Mellbin LG, Ostgren CJ, Rocca B, Roffi M, Sattar N, Seferovic PM, Sousa-Uva M, Valensi P, Wheeler DC; ESC Scientific Document Group. 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2020 Jan 7;41(2):255-323. doi: 10.1093/eurheartj/ehz486. No abstract available. Erratum In: Eur Heart J. 2020 Dec 1;41(45):4317.
- Chopra VK, Anker SD. Anaemia, iron deficiency and heart failure in 2020: facts and numbers. ESC Heart Fail. 2020 Oct;7(5):2007-2011. doi: 10.1002/ehf2.12797. Epub 2020 Jun 30.
- Doeblin P, Hashemi D, Tanacli R, Lapinskas T, Gebker R, Stehning C, Motzkus LA, Blum M, Tahirovic E, Dordevic A, Kraft R, Zamani SM, Pieske B, Edelmann F, Dungen HD, Kelle S. CMR Tissue Characterization in Patients with HFmrEF. J Clin Med. 2019 Nov 5;8(11):1877. doi: 10.3390/jcm8111877.
- Fischer F, Gibbons C, Coste J, Valderas JM, Rose M, Leplege A. Measurement invariance and general population reference values of the PROMIS Profile 29 in the UK, France, and Germany. Qual Life Res. 2018 Apr;27(4):999-1014. doi: 10.1007/s11136-018-1785-8. Epub 2018 Jan 19.
- Gaggin HK, Januzzi JL Jr. Biomarkers and diagnostics in heart failure. Biochim Biophys Acta. 2013 Dec;1832(12):2442-50. doi: 10.1016/j.bbadis.2012.12.014. Epub 2013 Jan 9.
- Pedrizzetti G, Lapinskas T, Tonti G, Stoiber L, Zaliunas R, Gebker R, Pieske B, Kelle S. The Relationship Between EF and Strain Permits a More Accurate Assessment of LV Systolic Function. JACC Cardiovasc Imaging. 2019 Sep;12(9):1893-1895. doi: 10.1016/j.jcmg.2019.03.019. Epub 2019 May 15. No abstract available.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 21, 2021
Primary Completion (Actual)
April 5, 2023
Study Completion (Estimated)
April 1, 2024
Study Registration Dates
First Submitted
October 21, 2021
First Submitted That Met QC Criteria
November 4, 2021
First Posted (Actual)
November 17, 2021
Study Record Updates
Last Update Posted (Actual)
January 9, 2024
Last Update Submitted That Met QC Criteria
January 5, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- EA4/204/20
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
It is not planned to make IPD available to other researchers.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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