The ILERVAS Project: Assessing the Prevalence of Subclinical Vascular Disease and Hidden Kidney Disease (ILERVAS)
Atherosclerosis, Chronic Kidney Diseases, Metabolic Syndrome
About this trial
This is an interventional screening trial for Atherosclerosis focused on measuring Kidney Diseases, Subclinical Disease and/or Syndrome, Atherosclerosis, Biomarkers, Prevention, Lung capacity, Early diagnosis, Advanced glycation-end products, Atrial fibrillation, Diabetes, Arterial ultrasound
Eligibility Criteria
Inclusion Criteria:
- women (50-70 years) and men ( 45-65 years) with at least one cardiovascular risk factor (hypertension, dyslipidemia, obesity (BMI >30 Kg/m2), current smoking habit or former smoker (<10 years), first-degree family history of early cardiovascular disease).
Exclusion Criteria:
- Prior medical history of cardiovascular disease.
- Diabetes.
- Glomerular filtration rate (CKD-EPI < 60 ml/min/1.73m2).
- Active neoplasm or acute disease.
- A life expectancy < 18 months.
- Pregnancy.
Sites / Locations
- Fundació Renal Jaume Arnò
- Primary Care centre
- Institut de recerca Biomèdica de Lleida
Arms of the Study
Arm 1
Arm 2
Experimental
No Intervention
Mobile Unit Follow-up Group
Electronic Medical History Follow-up Group
In the Mobile Unit (MU), clinical, sociodemographic and anthropometric data will be recorded. Patients will be evaluated with artery ultrasound (carotid, femoral, transcranial and abdominal aorta), ankle-brachial index, pulse wave velocity, spirometry, determination of advanced glycation-end products, atrial fibrillation screening, dried blood spot test and urine analysis. Moreover, DNA, RNA, Saliva, blood and urine samples will be collected and stored in the biobank to identify new biomarkers using omic studies. Additionally, climate, air pollutant and airborne pollen data form the entire province of Lleida will be registered. Finally, a report with the exploration results and recommendations based on the current guidelines will be uploaded to the e-CAP history for the Primary care evaluation.
Participants will be followed through their electronic medical records. Sociodemographic (age, sex, race, marital status, education and labour status), clinical and anthropometric data and will be electronically collected.