Literature DB >> 1733606

Biological variation data applied to the selection of serum lipid ratios used as risk markers of coronary heart disease.

J Ortolá1, M J Castiñeiras, X Fuentes-Arderiu.   

Abstract

The biological variation of several relative lipid quantities, calculated as the ratios between the concentrations of various serum lipids and apolipoproteins, has been estimated over a one-year period. The medians of the within-subject biological coefficient of variation, separated by sex when significant differences exist, were 15.4% for [apolipoprotein A-I]/[apolipoprotein B], 6.8% for [high-density lipoprotein (HDL)-cholesterol]/[cholesterol], 10.5% and 17.6% (women and men, respectively) for [HDL2-cholesterol]/[HDL-cholesterol], 13.6% for [HDL2-cholesterol]/[HDL3-cholesterol], 10.6% for [low-density lipoprotein (LDL)-cholesterol]/[apolipoprotein B], 10.6% and 8.7% (women and men, respectively) for [LDL-cholesterol]/[cholesterol], and 6.3% for [LDL-cholesterol]/[HDL-cholesterol]. From these data, we have calculated the critical difference for significant change detection, the index of individuality, and the goal for the between-day imprecision. Concerning within-subject biological variation, the best ratios for the detection of risk of coronary heart disease and the monitoring of intervention are [LDL-cholesterol]/[HDL-cholesterol] and [HDL-cholesterol]/[cholesterol]. The index of individuality obtained in this study indicates that the use of population-based reference values is inadequate for interpreting the ratios studied.

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Year:  1992        PMID: 1733606

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  2 in total

1.  Long-term intra- and inter-individual biological variation of serum lipid of HIV-infected and uninfected men participating in the Los Angeles Multi-Center AIDS Cohort Study (MACS).

Authors:  Najib Aziz; David W Gjertson; Matthew J Mimiaga; Chantel D Azarkman; Rey Soto; Nicole Alexopoulos; Roger Detels
Journal:  Lipids Health Dis       Date:  2022-07-27       Impact factor: 4.315

2.  Between-Subject Variation of the Within-Subject Biological Variation.

Authors:  Xavier Fuentes-Arderiu
Journal:  EJIFCC       Date:  2013-02-21
  2 in total

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