Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT06272578 |
Other study ID # |
20021405 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
|
First received |
|
Last updated |
|
Start date |
March 1, 2024 |
Est. completion date |
June 30, 2025 |
Study information
Verified date |
February 2024 |
Source |
Charite University, Berlin, Germany |
Contact |
Daniela Zurkan |
Phone |
+49 30 450 665 374 |
Email |
daniela.zurkan[@]dhzc-charite.de |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial 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.
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.