Pilot study into the endothelial function in paediatric renal transplant recipients by means of peripheral arterial tonometry

Pilot study into the endothelial function in paediatric renal transplant recipients by means of peripheral arterial tonometry - EndoPAT

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON36795

Enrollment

Registered

2011-01-17

Start date

2011-05-15

Completion date

Unknown

Last updated

2024-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

atherosclerosis cardiovascular disease

Interventions

None listed

Eligibility

Age

2 Years to 17 Years

Inclusion criteria

Inclusion criteria: - Age 6-16 yrs - Renal transplant recipient - Informed consent patient / parents

Exclusion criteria

Exclusion criteria: - Age

Design outcomes

Primary

Measure	Time frame
To assess feasibility, study burden, within-person and between-person variability of automated reactive hyperaemia pulse amplitude tonometry (RH-PAT) measurements in paediatric renal transplant recipients aged 6-16 yrs	—

Secondary

Measure	Time frame
1. To compare adipokine profiles and related inflammatory markers in paediatric renal transplant recipients to those of historical, healthy controls participating in the AIMOB study. 2. To assess correlations of RH-PAT measurements with adipokine profiles and related inflammatory markers. 3. To assess correlations of RH-PAT measurements with clinical characteristics (age, sex, history of smoking), biometric measurements (height, weight, waist circumference, BMI, blood pressure), medication and parameters of metabolic syndrome (fasting glucose level, dyslipidemia).	—

Measure

Time frame

1. To compare adipokine profiles and related inflammatory markers in paediatric renal transplant recipients to those of historical, healthy controls participating in the AIMOB study. 2. To assess correlations of RH-PAT measurements with adipokine profiles and related inflammatory markers. 3. To assess correlations of RH-PAT measurements with clinical characteristics (age, sex, history of smoking), biometric measurements (height, weight, waist circumference, BMI, blood pressure), medication and parameters of metabolic syndrome (fasting glucose level, dyslipidemia).

—

Countries

Netherlands

Outcome results