Architect analyzer
The Architect analyzer is a laboratory instrument designed for automated clinical chemistry analysis. It performs various biochemical tests on patient samples to aid in the diagnosis and monitoring of medical conditions.
Lab products found in correlation
56 protocols using architect analyzer
Anthropometric and Metabolic Measurements
Measuring Biochemical Analytes in Plasma
Biomarkers in Kidney Transplant Monitoring
Creatinine, urea, glucose, total cholesterol, HDL cholesterol and triglycerides were measured by automated methods. The eGFR was calculated using the four-variable MDRD formula (28 (link)). Three months after the transplant, plasma levels of some cytokines such as interferon-γ (IFN-γ), interleukin (IL)-2, IL-4, IL-10 and IL-17 were measured by immunoassays Milliplex™ MAP for Luminex® xMAP™ technology (Merck Millipore, Massachusetts, USA).
Tacrolimus blood concentration was measured by an immunoassay using the Abbott Architect analyzer (Abbott Diagnostics, Illinois, USA). The tacrolimus C/D [ng/(mL·mg)] was calculated for each patient.
The biopsy-confirmed acute rejection (BCAR) was performed by the local pathologist according to the Banff 2003 classification (29 (link)). The delayed graft function (DGF) was considered to be the dialysis performed in 7 days after transplantation.
ED Opt-Out HIV and HCV Screening
Measuring Cardiovascular Biomarkers in Catheterization
Vitamin D Status Determination Protocol
Urine Biomarkers in Familial Study
Anthropometric and Biochemical Measurements
Data of education and total household income were used as indicators of the socio-economic status. Educational level was divided into groups according to years of completed education: low (0–9 years), medium (10–12 years) and high education (13 years or more). Total household income per year was reported in three categories: low (<30 000 €/year), medium (30 001–60 000 €/year) and high (60 001–80 000 or more €/year).
Inflammation and Oxidative Stress Markers
Oral Glucose Tolerance Test Metabolites
We inverse normalized all continuous traits. Blood pressure measurements were missing from 2 participants, whose samples were dropped when analyzing blood pressure traits. Prior to fitting models, we regressed all continuous traits on age, age2, and sex, except for age where we regressed only on sex.
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