The NIST Urine Albumin Standardization Program is focused on the development of a measurement procedure and reference materials to support an international effort to standardize clinical results for kidney disease.
Kidney disease is a major global economic and public health issue, with chronic kidney disease (CKD) representing one of the top 10 most prominent causes of death worldwide. The public health and economic impact of CKD and other kidney diseases has led to the need for the accurate detection of kidney disease biomarkers, such as urine albumin, for early diagnosis, evaluation of treatment efficacy, and disease management. Patient care decisions, made by healthcare practitioners for kidney disease diagnosis and management, are influenced by the validity of clinical laboratory results. Uniformity of clinical laboratory results is essential for healthcare practitioners to provide accurate and consistent patient care. When clinical results are standardized, the clinical value is precise and equivalent independent of method or laboratory. Equivalent clinical results can be achieved by establishing a framework of reference materials and measurement procedures that anchors clinical results to the fundamental unit of measurement (International System of Units, SI).
Urine albumin is a major diagnostic and prognostic biomarker of kidney disease. Accurate and precise clinical results of urine albumin is important for the diagnosis and management of kidney disease. To support the accuracy and global comparability of clinical urine albumin results, NIST has partnered with the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Laboratory Working Group (LWG) and the International Federation of Clinical Chemistry (IFCC) Working Group for the Standardization of Albumin Assays in Urine (WG-SAU) to develop a reference measurement system for urine albumin. NIST has developed a series of higher-order reference materials and a measurement procedure to build the global reference measurement system and, ultimately, to support the confidence of clinical decisions for kidney disease.
Publication - Estimation of Measurement Uncertainty for the Quantification of Protein by ID-LC-MS/MS (Link); First publication that provides a detailed framework on how to determine measurement uncertainty of a quantitative MS-based protein measurement procedure
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National Research Council Post-Doctoral Research Opportunity: Qualitative and Quantitative Characterization of Clinical Analytes (Link)