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| Name | Class |
|---|---|
| Dutch Cardiovascular Alliance | UNKNOWN |
| University Medical Center Groningen | OTHER |
| Dutch Heart Foundation | OTHER |
| Dutch Kidney Foundation |
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The aim of the Check@Home consortium is to set up a roadmap and infrastructure for a program to early detect atrial fibrillation and chronic kidney disease in the general population.
This will be a population-based screening with a phased implementation and an iterative design in four regions in the Netherlands (Breda, Utrecht, Arnhem, Eindhoven). In total, a random sample of 160,000 people (aged 50-75 years) will be invited to participate in the study and another random sample of 160,000 people with the same characteristics will be included in the control group in which no screening will be offered.
The overall screening program will consist of three phases: a home-based testing phase, diagnostic screening phase, and a treatment phase:
The primary study outcomes are:
Overall effectiveness of population based screening on atrial fibrillation and chronic kidney disease in subjects aged 50-75 years, based on:
Background:
Currently, in the Netherlands there is no structured national approach for the early detection of cardiovascular disease, kidney disease, and type 2 diabetes in the general population, despite the social and economic impact of these disorders. Detecting these chronic conditions at an early stage could allow for adequate and early treatment to prevent the progression of these conditions and their complications, thereby reducing the societal and economic burden caused by these chronic diseases.
Objective of the study:
To investigate whether population-based screening of subjects aged 50-75 years can contribute to early detection and treatment of atrial fibrillation and chronic kidney disease (defined by elevated albuminuria), and thereby can contribute to prevention of the morbidity and mortality related to these diseases. This will be done by evaluating the participation rate, yield, and (cost-)effectiveness of the screening compared with standard care. Furthermore, the project aims to evaluate options for broader screening, including the early detection of heart failure, coronary artery disease, and type 2 diabetes.
Study design:
This will be a population-based screening with a phased implementation and an iterative design in four regions in the Netherlands (Breda, Utrecht, Arnhem, Eindhoven).
Participants will be invited for a home-based screening (phase 1) that includes home-based testing; urine collection for detection of elevated albuminuria as indicator of chronic kidney disease, and a heart rhythm measurement using a smartphone app for detection of atrial fibrillation. Both home-based tests will be performed with CE-marked medical devices used according to their intended use. A subset of the population will also receive a short questionnaire. Depending on the results of the home-based tests, subjects might be invited for further screening in a diagnostic screening facility (phase 2). During this visit, physical data (height, weight, waist circumference, blood pressure, heart rhythm) will be collected, blood will be drawn, and urine will be collected for the assessment of parameters that are indicative of a cardiovascular disease, chronic kidney disease, type 2 diabetes or their risk factors. Participants will receive a questionnaire that includes questions on demographics, educational level, disease history, medication use, health literacy, and quality of life. Based on the results of the diagnostic screening, participants may be referred to their general practitioner for appropriate treatment (lifestyle advice/medication) according to the prevailing guidelines. It is planned that in a future protocol amendment an alternative treatment trajectory will be added in which participants may receive further treatment in the diagnostic screening facility.
Study population:
In total, a random sample of 160,000 people (aged 50-75 years) living in one of the four selected regions in the Netherlands will be invited to participate in the study. Another random sample of 160,000 people (aged 50-75 years) living in one of the four selected regions in the Netherlands will be included in the control group in which no screening will be offered.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention group | Other | This group will be invited for the screening |
|
| Control group | No Intervention | This group will not be invited for the screening |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Intervention group | Other | Subjects will be invited for a home-based screening (phase 1) that includes home-based testing; urine collection for detection of elevated albuminuria, and a heart rhythm measurement for detection of atrial fibrillation. Both home-based tests will be performed with CE-marked medical devices used according to their intended use. A subset of the population will also receive a short questionnaire. Depending on the results of the home-based tests, subjects might be invited for further screening in a diagnostic screening facility (phase 2), that includes collection of physical data, blood, and urine for the assessment of parameters that are indicative of cardiovascular disease, chronic kidney disease, diabetes type 2 or their risk factors. Participants will also receive a questionnaire. Based on the results of the diagnostic screening, participants may be referred to their GP for appropriate treatment according to the prevailing guidelines (phase 3) |
| Measure | Description | Time Frame |
|---|---|---|
| Participation rate of the atrial fibrillation and albuminuria screening |
| 1 year after screening period |
| Yield of the atrial fibrillation and albuminuria screening |
| 1 year after screening period |
| Effectiveness of the atrial fibrillation screening | Effectiveness of the atrial fibrillation screening (the home-based screening program and follow-up strategy) will be based on the incidence of (fatal and non-fatal) ischemic stroke. This will be evaluated by comparing the event rates in the intervention group (the sample of 160,000 subjects invited for screening) and the control group (the sample of 160,000 subjects not invited for screening). |
| Measure | Description | Time Frame |
|---|---|---|
| Effectiveness of the atrial fibrillation screening based on incidence of MACE events | Effectiveness of the atrial fibrillation screening (the home-based screening program and follow-up strategy), based on the incidence of MACE (for atrial fibrillation screening defined as cardiovascular mortality, stroke, non-hemorrhagic stroke, and myocardial infarction, including CABG and PCI). This will be evaluated by comparing the event rates in the intervention group (the sample of 160,000 subjects invited for screening) and the control group (the sample of 160,000 subjects not invited for screening). |
| Measure | Description | Time Frame |
|---|---|---|
| False-positive rate, false-negative rate, sensitivity, specificity, positive predictive screening on atrial fibrillation and albuminuria screening. |
|
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Prof. Dr. F. W. Asselbergs | Amsterdam UMC | Principal Investigator |
| Prof. Dr. R. T. Gansevoort | UMC Groningen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stichting Amsterdam UMC | Amsterdam | Netherlands |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37597522 | Background | van Mil D, Kieneker LM, Evers-Roeten B, Thelen MHM, de Vries H, Hemmelder MH, Dorgelo A, van Etten RW, Heerspink HJL, Gansevoort RT. Participation rate and yield of two home-based screening methods to detect increased albuminuria in the general population in the Netherlands (THOMAS): a prospective, randomised, open-label implementation study. Lancet. 2023 Sep 23;402(10407):1052-1064. doi: 10.1016/S0140-6736(23)00876-0. Epub 2023 Aug 16. |
| Label | URL |
|---|---|
| Related Info | View source |
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| OTHER |
| Dutch Diabetes Research Foundation | OTHER |
| Maastricht University | OTHER |
| AstraZeneca | INDUSTRY |
| UMC Utrecht | OTHER |
| Radboud University Medical Center | OTHER |
| Siemens Healthineers Nederland BV | UNKNOWN |
| University of Twente | OTHER |
| Roche Diagnostics Nederland BV | UNKNOWN |
| Happitech BV | UNKNOWN |
| Stichting Radboud Universiteit | UNKNOWN |
| Stichting Netherlands Heart Institute | UNKNOWN |
| Topicus.Healthcare BV | UNKNOWN |
| Amsterdam UMC, location AMC | OTHER |
Check@Home is a population-based screening with a phased assessment and implementation using an iterative design executed consecutively in four regions in the Netherlands.
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| Up to 10 years follow-up after screening period |
| Effectiveness of the albuminuria screening | Effectiveness of the albuminuria screening (the home-based screening program and follow-up strategy), based on the incidence of the composite outcome of kidney failure events (defined as start of dialysis, receiving a kidney transplant, or death due to kidney failure without having started kidney function replacement treatment) and MACE (for albuminuria screening defined as cardiovascular mortality, stroke, and myocardial infarction, including CABG and PCI). This will be evaluated by comparing the event rates in the population screened positive for elevated albuminuria and followed-up based on this result (i.e., participants in the standard strategy and other alternative strategies) and in the population screened positive for elevated albuminuria - at a later timepoint - and not followed-up based on this result (i.e., participants in 'alternative strategy B'). | Up to 10 years follow-up after screening period |
| Up to 10 years follow-up after screening period |
| Effectiveness of the albuminuria screening based on incidence each individual MACE component | Effectiveness of the albuminuria screening (the home-based screening program and follow-up strategy), based on each individual component defining MACE (for albuminuria screening defined as cardiovascular mortality, stroke, and myocardial infarction, including CABG and PCI). This will be evaluated by comparing the event rates in the in the population screened positive for elevated albuminuria and followed-up based on this result (i.e., participants in the standard strategy and other alternative strategies) and in the population screened positive for elevated albuminuria - at a later timepoint - and not followed-up based on this result (i.e., participants in 'alternative strategy B'). | Up to 10 years follow-up after screening period |
| Safety of the atrial fibrillation screening | Safety of the atrial fibrillation screening (the home-based screening program and follow-up strategy), based on the incidence of the composite outcome of (fatal and non-fatal) hemorrhagic stroke, other major bleeding events leading to hospitalization (including but not limited to intracranial bleeds, sight-threatening eye bleeds, and serious gastrointestinal bleeding), and all cause-mortality. This will be evaluated by comparing the event rates in the intervention group (the sample of 160,000 subjects invited for screening) and the control group (the sample of 160,000 subjects not invited for screening). | Up to 10 years follow-up after screening period |
| Cost-effectiveness of screening strategies compared with standard of care: treatment effectiveness based on literature. | An individual level simulation model will be developed to estimate the lifetime effects of the screening strategies for the detection of atrial fibrillation and chronic kidney disease by comparing the corresponding expected incidences of cardiovascular and chronic kidney disease, diabetes and their complications and endpoints with standard care. Incremental effectiveness will be calculated, expressed in QALYs gained for the different screening strategies. Costs will be calculated by multiplying resource use with the corresponding unit costs. The ICER between screening strategies and no screening, expressed in costs per QALY gained, will be calculated over a short-time (5-10 years after screening) and a lifetime time horizon. Finally, we will assess the chance that screening is cost-effective for a range of willingness-to-pay threshold values (range €20,000-€80,000 per QALY) and at which threshold for the screening costs screening would have a chance of ≥90% to be cost-effective. | Up to 10 years follow-up after screening period |
| Cost-effectiveness of screening strategies compared to standard of care: treatment effectiveness based on actual observed event rates | Using registry data, we will compare event rates between the intervention group (invited for screening) and the control group (not invited for screening) 5 and 10 years after the screening. Currently foreseen is that the data on fatal and non-fatal cardiovascular disease (according to the MACE criteria; based on corresponding ICD-10 codes) and renal events (dialysis and transplantation; based on corresponding ICD-10 codes) will be obtained and compared. These data will be obtained by linkage with CBS (i.e., Dutch Hospital Data, Vektis, Zorginstituut Nederland), Zorgverzekeraars Nederland, Pharmo, National Heart Registry, and general practitioner registries. These data will be input for the health economic simulation model, replacing earlier estimates of treatment effectiveness and treatment adherence. The ICER and estimation of the likelihood of screening being cost-effective will be repeated using this new and more accurate evidence. | Up to 10 years follow-up after screening period |
| Up to 10 years follow-up after screening period |
| Characteristics of responders and non-responders | Characteristics of responders and non-responders, and differences between them, will be analyzed using descriptive statistics per screening strategy. For health literacy descriptive statistical analyses will be performed on the HLS-Q12 questionnaire (per item and/or combined). Future exploratory analyses may evaluate whether health literacy is related to participation rate, health outcomes, and or characteristics of participants and non-participants (such as age and socioeconomic indicators of the neighborhood). In addition, facilitators and barriers for participation will be studied taking into account qualitative data on experiences, considerations and enabling and constraining conditions, collected both in participants and non-participants via in-depth interviews and/or observations. | Up to 10 years follow-up after screening period |
| Effectiveness of the atrial fibrillation screening based on incidence each individual MACE component | Effectiveness of the atrial fibrillation screening (the home-based screening program and follow-up strategy), based on the incidence of each individual component defining MACE (for the atrial fibrillation screening defined as cardiovascular mortality, non-hemorrhagic stroke, and myocardial infarction, including CABG and PCI). This will be evaluated by comparing the event rates in the intervention group (the sample of 160,000 subjects invited for screening) and the control group (the sample of 160,000 subjects not invited for screening). | Up to 10 years follow-up after screening period |
| Overall effectiveness of broader population-based screening strategies applied to screening on heart failure, coronary artery disease, and type 2 diabetes. | Overall effectiveness of broader population-based screening strategies, focused on the detection (and potentially treatment) of heart failure, coronary artery disease, and type 2 diabetes in subjects aged 50-75 years. This will be evaluated based on participation rate, yield, and (cost-)effectiveness of the screening strategies, similarly to what is described in the previous sections, but then applied to screening on heart failure, coronary artery disease, and type 2 diabetes. | Up to 10 years follow-up after screening period |
| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| D051436 | Renal Insufficiency, Chronic |
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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