Literature DB >> 17594781

Within-subject biological variation in disease: collated data and clinical consequences.

Carmen Ricós1, Natalia Iglesias, José-Vicente García-Lario, Margarita Simón, Fernando Cava, Amparo Hernández, Carmen Perich, Joanna Minchinela, Virtudes Alvarez, Maria-Vicenta Doménech, Carlos-Victor Jiménez, Carmen Biosca, Raquel Tena.   

Abstract

Quantitative data on the components of biological variation (BV) are used for several purposes, including calculating the reference change value (RCV) required for the assessment of the significance of changes in serial results in an individual. Pathology may modify the set point in diseased patients and, more importantly, the variation around that set-point. Our aim was to collate all published BV data in situations other than health. We report the within-subject coefficient of variation (CV(I)) for 66 quantities in 34 disease states. We compared the results with the CV(I) determined in healthy individuals and examined whether the data derived in specific diseases could be useful for clinical applications. For the majority of quantities studied, CV(I) values are of the same order in disease and health: thus the use of RCV derived from healthy subjects for monitoring patients would be reasonable. However, for a small number of quantities considered to be disease specific markers, the CV(I) differed from those in health. This could mean that RCV derived from healthy CV(I) may be inappropriate for monitoring patients in certain diseases. Hence, disease-specific RCVs may be clinically useful.

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Year:  2007        PMID: 17594781     DOI: 10.1258/000456307780945633

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  42 in total

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9.  Interpretation of Biochemical Tests Using the Reference Change Value in Monitoring Adverse Effects of Oral Isotretinoin in 102 Ethnic Turkish Patients.

Authors:  Guler Bugdayci; Mualla Polat; Hamdi Oguzman; Havva Yasemin Cinpolat
Journal:  Lab Med       Date:  2016-06-26

10.  Hematologic and Biochemical Biologic Variation in Laboratory Cats.

Authors:  Catherine Trumel; Céline Monzali; Anne Geffré; Didier V Concordet; Louise Hourqueig; Jean-Pierre D Braun; Nathalie H Bourgès-Abella
Journal:  J Am Assoc Lab Anim Sci       Date:  2016       Impact factor: 1.232

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