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| Name | Class |
|---|---|
| Dutch Kidney Foundation | OTHER |
| E-Zorg B.V. / KPN Health | UNKNOWN |
| Healthy.io Ltd. | INDUSTRY |
| Hessels+Grob |
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Chronic Kidney Disease (CKD) is a worldwide major public health problem that is associated with an increased incidence of kidney failure and cardiovascular events, that lead a high burden for affected patients and high costs for society. Symptoms of CKD occur late, when kidney function drops to below 30%. At that time preventive measures will have only limited efficacy. Protein excretion in urine has increasingly been recognized as early marker of CKD, and is often associated with high blood pressure, diabetes, and/or high cholesterol levels. These are all important risk factors for progression of kidney and cardiovascular disease. Population screening for urinary protein loss could detect a considerable number of subjects with yet unknown risk factors for progressive kidney and cardiovascular disease who can benefit of early intervention. However, there is no validated method for population screening yet. The aim is to to develop a home based population screening for elevated urinary protein loss. Two screening methods will be investigated, and yield and cost-effectiveness of these screening methods will be evaluated
Chronic kidney disease (CKD) is a worldwide major public health problem that is associated with an increased incidence of kidney failure and cardiovascular disease (CVD). To tackle this burden, screening for CKD among the general population could be beneficial to allow early detection and treatment. In the last decades, elevated albuminuria has increasingly been recognized as an early marker of generalized vascular endothelial damage, that predicts CKD and CVD progression.
It has been estimated that approximately 6% of the general population has elevated albuminuria, and that the majority of these subjects are not known yet with this abnormality. Among these subjects, many have hypertension, hyperlipidemia, diabetes and/or impaired kidney function, that often is also not known yet. Early detection of elevated albuminuria may be important because it gives the opportunity to invite subjects that test positive for further screening for CKD and CVD risk factors. Thus these risk factors for CKD and CVD progression could be treated in an early stage.
Population screening for albuminuria could be justified according to the WHO criteria of Wilson and Jungner , because CKD has important consequences for subjects, the course of the disease is initially symptomless, and there are treatment methods available. However, implementation research to validate screening the general population for albuminuria and related health consequences is lacking, as are cost-effectiveness studies.
In the current study the aim is to develop a home-based screening technique for detecting elevated albuminuria. Two screening methods will be investigated, and yield and cost-effectiveness of these screening methods will be evaluated
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group A | Active Comparator | Group A will receive an invitation for home based albuminuria screening using a more conventional urine collection device (known as "Peespot Test"). |
|
| Group B | Active Comparator | Group B will receive an invitation for home based albuminuria screening using an app (internet application) and an ACR dipstick test (known as "ACR| EU Test"). |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Approach A (PeeSpot urine collection device). | Diagnostic Test | The participant will receive the PeeSpot urine collection device (Hessels+Grob B.V., Deventer, The Netherlands), which consists of a holder containing a urine collection pad (consisting of hygroscopic material containing). The holder can be placed back into the tube and can be easily sent to the laboratory by mail. In this urine, albumin, creatinine, and the ACR will be measured in the laboratory of the Amphia hospital. |
| Measure | Description | Time Frame |
|---|---|---|
| Participation rate of the screening (i.e. home-based screening, elaborate screening and overall screening program) | The participation rate is defined as the number of persons completing the albuminuria screening (i.e. returning the first PeeSpot urine device or scanned the first ACR | EU urine test strip with use of the app, and in case of an ACR >30 mg/g in this initial test, also completing the a confirmatory albuminuria screening tests), elaborate screening and overall screening program relative to the invited number of individuals. | Screening period of 6 months. |
| The yield of albuminuria screening. | These are twofold. First, the yield of the home-based screening is defined as the number of persons who test positive for albuminuria (at least 2 tests positive) relative to the number of persons participating in the corresponding arm (=per-protocol analysis) and of all invited persons in the corresponding arm (intention-to-screen analysis). Second, the yield of the elaborate screening is defined as the number of subjects with increased albuminuria (defined as ACR >30 mg/g) with newly diagnosed and/or poorly controlled CVD and CKD risk factors. These risk factors, which will be assessed during the elaborate screening, include hypertension, diabetes mellitus, hyperlipidemia, impaired kidney function. | Screening period of 6 months. |
| Cost-effectiveness of the screening. | Incremental cost-effectiveness ratio (ICER) in euro per QALY gained for the two screening methods; | 6 months follow-up after screening period. |
| Measure | Description | Time Frame |
|---|---|---|
| GP follow-up rate. | Number of persons completing the complete study (ACR testing, elaborate screening when invited, and visiting GP when recommended) relative to the number of referred individuals. | Screening period of 6 months. |
| Characteristics of responders. |
| Measure | Description | Time Frame |
|---|---|---|
| Appropriate treatment after elaborate screening. | Evaluate whether the subjects who participated the elaborate screening and in which abnormalities were found (hypertension, diabetes, hypercholesterolemia, impaired renal function) did visit their general practitioner for start of appropriate treatment (lifestyle advice and/or medication). | 6 months follow-up after screening period. |
Inclusion Criteria:
Exclusion Criteria:
A random sample of 15.032 subjects will be drawn from the population aged 45-80 years from the municipality of Breda by the Dutch Central Bureau for Statistics (CBS).
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| Name | Affiliation | Role |
|---|---|---|
| Ron T Gansevoort, MD, PhD | University Medical Center Groningen | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Medical Centre Groningen | Groningen | 9700 RB | Netherlands |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37597522 | Derived | 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. | |
| 36548281 |
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| ID | Term |
|---|---|
| D000419 | Albuminuria |
| D051436 | Renal Insufficiency, Chronic |
| D002318 | Cardiovascular Diseases |
| D000544 | Alzheimer Disease |
| D006973 | Hypertension |
| D003920 | Diabetes Mellitus |
| D006937 | Hypercholesterolemia |
| ID | Term |
|---|---|
| D011507 | Proteinuria |
| D014555 | Urination Disorders |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
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| UNKNOWN |
| Copernicus Interchange Technology B.V. | UNKNOWN |
| Amphia Hospital | OTHER |
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|
| Approach B (ACR | EU Test kit). | Diagnostic Test | The participant will receive the ACR | EU test kit (Healthy.io Ltd, Tel-Aviv- Yafo, Israel), which consists of a urine test strip, a urine cup, a color calibrator and instruction to download a smartphone application. The participants have to download the smartphone application according to the instructions included in the kit. Results will be directly shown to the participant in the app. |
|
Information on (differences in) characteristics of the responders of the two screening methods (PeeSpot vs. ACR | EU) including differences in age, sex, educational level, estimated social economic status (based on data of Statistics Netherlands, providing estimated social economic status based on postal codes), medication use, and history of disease |
| Screening period of 6 months. |
| Characteristics of non-responders. | Information on (differences in) characteristics of the non-responders of the two screening methods (PeeSpot vs. ACR | EU) including differences in age, sex, and estimated social economic status. | Screening period of 6 months. |
| Usability scores of the two screening methods. | Usability of both tests assessed by questionnaire in the participants with a confirmed positive test and in a subgroup of participants with a negative test. | 6 months follow-up after screening period. |
| Information regarding sensitivity and specificity of the home-based screening tests | Information on rate of false-negative and -positive tests for both screening methods (PeeSpot vs. ACR | EU). | Screening period of 6 months. |
| Optimal cut-off value of albuminuria. | To investigate which cut-off value of albuminuria should be used in the screening to render the most effective screening. | 6 months follow-up after screening period. |
| Optimal age range for albuminuria screening. | Investigate the most effective age range for albuminuria screening. | 6 months follow-up after screening period. |
| Role of health literacy in albuminuria screening. | The role of health literacy (assessed by questionnaire) in participating in the screening program and by obtaining appropriate treatment by the GP. | 6 months follow-up after screening period. |
| Derived |
| van Mil D, Kieneker LM, Evers-Roeten B, Thelen MHM, de Vries H, Hemmelder MH, Dorgelo A, van Etten RW, Heerspink HJL, Gansevoort RT. Protocol for a randomized study assessing the feasibility of home-based albuminuria screening among the general population: The THOMAS study. PLoS One. 2022 Dec 22;17(12):e0279321. doi: 10.1371/journal.pone.0279321. eCollection 2022. |
| D005261 |
| Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D020924 | Urological Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D014652 | Vascular Diseases |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D006949 | Hyperlipidemias |
| D050171 | Dyslipidemias |
| D052439 | Lipid Metabolism Disorders |