Pilot study into the endothelial function in paediatric renal transplant recipients by means of peripheral arterial tonometry
Completed
- Conditions
- atherosclerosiscardiovascular disease1003843010003216
- Registration Number
- NL-OMON36795
- Lead Sponsor
- niversitair Medisch Centrum Utrecht
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- Not specified
- Target Recruitment
- 20
Inclusion Criteria
- Age 6-16 yrs
- Renal transplant recipient
- Informed consent patient / parents
Exclusion Criteria
- Age <6 yr (in view of required cooperation during vascular function studies and size of finger plethysmograph)
- Intoxication (smoking, drug use)
- Acute illness (fever)
- Mental retardation
- Presence of an arteriovenous fistula in arm
- Allergy to latex
- Allergy with positive RAST for food/inhalation allergy and (history of) Muller class I-II reaction (i.e. severe systemic allergy/anaphylaxis)
- Asthma (based on doctors* diagnosis: history of recurrent wheezing, obstructive lung function tests with reversibility after administration of β2-sympathicomimetics, use of asthma-medication)
Study & Design
- Study Type
- Observational invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>To assess feasibility, study burden, within-person and between-person<br /><br>variability of automated reactive hyperaemia pulse amplitude tonometry (RH-PAT)<br /><br>measurements in paediatric renal transplant recipients aged 6-16 yrs</p><br>
- Secondary Outcome Measures
Name Time Method <p>1. To compare adipokine profiles and related inflammatory markers in paediatric<br /><br>renal transplant recipients to those of historical, healthy controls<br /><br>participating in the AIMOB study.<br /><br><br /><br>2. To assess correlations of RH-PAT measurements with adipokine profiles and<br /><br>related inflammatory markers.<br /><br><br /><br>3. To assess correlations of RH-PAT measurements with clinical characteristics<br /><br>(age, sex, history of smoking), biometric measurements (height, weight, waist<br /><br>circumference, BMI, blood pressure), medication and parameters of metabolic<br /><br>syndrome (fasting glucose level, dyslipidemia).</p><br>