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Screen CardRen - A Cross-sectional Observational Cohort Study

A Cross-sectional Observational Cohort Study to Evaluate the Prevalence of Asymptomatic Cardiac Structural Abnormalities and Cardiac Dysfunction in a Contemporary Outpatient at Risk Population With Chronic Kidney Disease

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06272578
Enrollment
400
Registered
2024-02-22
Start date
2024-03-01
Completion date
2025-06-30
Last updated
2024-08-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Kidney Diseases, Heart Failure

Brief summary

In this single-centre, cross-sectional study, the investigators aim to assess the prevalence of asymptomatic echocardiographic structural and functional cardiac abnormalities in adult CKD patients with additional cardiovascular risk factors. Furthermore, with the use of Olink technology, analyses of the plasma proteome will be performed to identify potential protein pathways associated with early structural changes.The investigators hypothesize that protein expression will be altered in patients with prevalent echocardiographic abnormalities that indicate stage B heart failure.

Detailed description

Background/Rationale: Chronic kidney disease and cardiovascular disease share a large set of risk factors, such as arterial hypertension, type 2 diabetes mellitus and dyslipidaemia. Chronic kidney disease, even in early stages, further increases the risk for cardiovascular diseases such as heart failure. Objectives and Hypotheses: In this single-centre, cross-sectional study, the investigators will aim to assess the prevalence of asymptomatic echocardiographic structural and functional cardiac abnormalities in adult CKD patients with additional cardiovascular risk factors. Furthermore, with the use of Olink technology, analyses of the plasma proteome will be performed to identify potential protein pathways associated with early structural changes. The investigators hypothesize that protein expression will be altered in patients with prevalent echocardiographic abnormalities that indicate stage B heart failure. Methods: Study design: single-centre, cross-sectional, non-interventional study Data Source(s): electronic case report form containing patient history, clinical status and physical examination, imaging data from echocardiography, air displacement plethysmography data, plasma proteome data obtained from Olink technology-based analysis of blood samples Study Population: Adult chronic kidney disease patients with additional cardiovascular risk factors (at least one of the following: arterial hypertension, type 2 diabetes mellitus, and dyslipidaemia). The inclusion criteria are further defined in the corresponding section of the study protocol. Exposure(s): chronic kidney disease and cardiovascular risk factors such as arterial hypertension, type 2 diabetes mellitus, dyslipidaemia, or atherosclerotic vascular disease Outcome(s): Primary objective: • Assess the frequency of stage B heart failure as indicated by structural or functional cardiac abnormalities assessed by echocardiography and/or corresponding laboratory parameters Secondary objectives: * Identification of possible predictive parameters for significant cardiac dysfunction (Heart Failure Stage B) in a contemporary at risk cohort with renal dysfunction, based on imaging and proteomics data * Building of the Berlin-Brandenburg prevention network to improve the intersectional cooperation to identify, diagnose and follow-up risk patients * Establishment of tools like US.2 AI, electronic health records, central data management in order to enable a fast construction while working resource-friendly * Follow-up of risk patients based on mobile sensors/apps * Adoption of screening in standard care Sample Size Estimations: The study is focused on the estimation of the prevalence of significant asymptomatic cardiac structural abnormalities and cardiac dysfunction in a contemporary at risk cohort with chronic kidney disease. Therefore, the investigators will calculate the corresponding two-sided 95% confidence interval. With a sample size of 400 patients, a two-sided 95% confidence interval for an assumed prevalence of 30% can be determined with an extension of ± 4%. Statistical Analysis: Objectives will be analyzed according to their scaling and distribution characteristics, including appropriate descriptive location and variability parameters and 95% confidence intervals. Additionally, multiple regression analyses will be performed in order to identify potential risk factors for significant cardiac dysfunction.

Interventions

DIAGNOSTIC_TESTEchocardiography

Echocardiography

Sponsors

AstraZeneca
CollaboratorINDUSTRY
Charite University, Berlin, Germany
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Chronic Kidney Disease, stages G1-G4, AND * Estimated glomerular filtration rate (eGFR) as determined by the 2009 CKD-EPI Cr equation ≥ 60 ml/min/1.73m², if UACR ≥30 mg/g (≥3 mg/mmol) OR * eGFR according to CKD-EPI 2009 Cr equation \< 60 ml/min/1.73m², but \> 15 ml/min/1.73m² Diabetes mellitus type 2 OR * Pathological findings in oral glucose tolerance test (≥ 200 mg/dl (2h)) OR * documented HbA1c ≥ 6.5 % OR * Intake of any antidiabetic medication (in case of previously established diagnosis of Diabetes mellitus type 2) OR * Fasting blood glucose ≥ 126 mg/dl Arterial Hypertension Grade ≥ 1 OR * Blood pressure of ≥ 140/90 mmHg, defined according to the 2018 ESC guidelines on arterial hypertension (Williams) OR * Intake of antihypertensive drugs Hypercholesterolemia OR * LDL-cholesterol \> 130mg/dl OR * Intake of a lipid-lowering medication initiated to treat dyslipoptroteinemia

Exclusion criteria

History of acute kidney injury \> stage 1 according to KDIGO criteria in the two weeks prior to study visit * Chronic kidney disease Stage 5 (end-stage renal disease) * Previous diagnosis of chronic heart failure * Acute myocardial infarction in the past 30 days prior to study visit * Stroke in the past 30 days prior to study visit * Known congenital heart disease * Previous diagnosis of a specific cardiomyopathy, infiltrative cardiac disease, pericardial constriction, sarcoidosis, amyloidosis and other storage diseases * Implanted cardiac devices, such as pacemakers, implantable cardioverter-defibrillators, cardiac resynchronization devices * Implanted mechanical valve prosthesis * Inability to give informed consent * Lack of health insurance * Organ transplanted * Intake of immunosuppressive medication * Major surgery in the 6 months before study visit, such as cardiac bypass surgery or valve replacement surgery (thoracotomy), major vascular surgery (such as replacement of aortic root, ascending part, aortic arch or any part of the abdominal aorta), major abdominal surgery (e.g. Whipple procedure, colorectal resection, gastrectomy and others) or limb amputation

Design outcomes

Primary

MeasureTime frameDescription
prevalence of significant asymptomatic cardiac structural abnormalities and cardiac dysfunction1 yearTransthoracic echocardiographic measurements are the primary outcome parameters and will be conducted according to the current recommendations for cardiac chamber quantification of the American Society of Echocardiography and the European Association of Cardiovascular Imaging, the latest update on left ventricular diastolic function assessment and recommendations on aortic stenosis quantification.
Proteomic analysis1 yearProteomic analysis will be performed using Olink technology, which is based on proximity extension assay (PEA) technology combined with next generation sequencing. This method has demonstrated accuracy and sensitivity in detecting minute quantities of proteins (sub-pg/ml), making it suitable for conducting extensive multiplex assays covering a wide dynamic range. In this study, plasma samples

Secondary

MeasureTime frameDescription
Duration of echocardiographic examination1 yearThe duration of echocardiographic examination as mean, median, standard deviation, quantiles and range in comparison between portable and cart-based device
Time saved by portable echocardiography and automated image analysis1 yearAmount of time savings in minutes as mean, median, standard deviation, quantiles and range in comparison between portable device and automated image analysis, potential impact on waiting period for patients requiring echocardiography
Image quality of cart-based vs. portable echo images1 yearThe number of echocardiographic examinations with acceptable image quality as frequencies and percentages in comparison between devices

Countries

Germany

Contacts

Primary ContactDaniela Zurkan
daniela.zurkan@dhzc-charite.de+49 30 450 665 374
Backup ContactFriederike Fenske
friederike.fenske@dhzc-charite.de+49 30 450 653 782

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026