Literature DB >> 2689858

Serum albumin. Differences in assay specificity.

G L Brackeen, J S Dover, C L Long.   

Abstract

Serum albumin is one of the most common parameters used in evaluating nutritional status. Three of the popular methods available for measuring serum albumin are serum protein electrophoresis and the two dye binding methods: BCG and BCP. BCG is currently the most popular method because of its simplicity, rapidity, and cost. Although electrophoretic methods are considered more accurate, BCP has shown to correlate well with electrophoresis in most cases. BCG often overestimates serum albumin levels, although its specificity can be improved by minimizing contact time with the serum sample. The average difference between BCG methods and other methods is usually 0.5-0.6 g/dL. From a quantitative standpoint, some might consider the difference in specificity of BCG versus the other two methods to be insignificant; however, from a qualitative standpoint, the difference could easily alter the interpretation of nutritional assessment parameters. Because of differences in analytical methods, serum albumin measurements should be interpreted in the context of the assay being used and the accepted normal range for that laboratory. Likewise, published studies, especially those that stratify degrees of malnutrition and/or risk of complications based on specific serum albumin levels, should specify the assay methodology utilized.

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Year:  1989        PMID: 2689858     DOI: 10.1177/0115426589004006203

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  6 in total

1.  The Roche Immunoturbidimetric Albumin Method on Cobas c 501 Gives Higher Values Than the Abbott and Roche BCP Methods When Analyzing Patient Plasma Samples.

Authors:  Johanna Helmersson-Karlqvist; Mats Flodin; Aleksandra Mandic Havelka; Xiao Yan Xu; Anders Larsson
Journal:  J Clin Lab Anal       Date:  2016-05-12       Impact factor: 2.352

2.  Circulating total testosterone and PSA concentrations in a nationally representative sample of men without a diagnosis of prostate cancer.

Authors:  Sarah B Peskoe; Corinne E Joshu; Sabine Rohrmann; Katherine A McGlynn; Sarah J Nyante; Gary Bradwin; Adrian S Dobs; Norma Kanarek; William G Nelson; Elizabeth A Platz
Journal:  Prostate       Date:  2015-04-28       Impact factor: 4.104

3.  Serum albumin in relation to change in muscle mass, muscle strength, and muscle power in older men.

Authors:  Caryn K Snyder; Jodi A Lapidus; Peggy M Cawthon; Thuy-Tien L Dam; Lynn Y Sakai; Lynn M Marshall
Journal:  J Am Geriatr Soc       Date:  2012-08-20       Impact factor: 5.562

4.  The relationship between nontraditional risk factors and outcomes in individuals with stage 3 to 4 CKD.

Authors:  Daniel E Weiner; Hocine Tighiouart; Essam F Elsayed; John L Griffith; Deeb N Salem; Andrew S Levey; Mark J Sarnak
Journal:  Am J Kidney Dis       Date:  2008-02       Impact factor: 8.860

5.  Inflammation and cardiovascular events in individuals with and without chronic kidney disease.

Authors:  D E Weiner; H Tighiouart; E F Elsayed; J L Griffith; D N Salem; A S Levey; M J Sarnak
Journal:  Kidney Int       Date:  2008-04-09       Impact factor: 10.612

Review 6.  A Reappraisal of Testosterone's Binding in Circulation: Physiological and Clinical Implications.

Authors:  Anna L Goldman; Shalender Bhasin; Frederick C W Wu; Meenakshi Krishna; Alvin M Matsumoto; Ravi Jasuja
Journal:  Endocr Rev       Date:  2017-08-01       Impact factor: 25.261

  6 in total

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