6 edition of Cholesterol measurement: Error and variability found in the catalog.
by For sale by the U.S. G.P.O., Supt. of Docs., Congressional Sales Office
Written in English
|The Physical Object|
|Number of Pages||140|
Unfortunately, this book can't be printed from the OpenBook. If you need to print pages from this book, we recommend downloading it as a PDF. Visit to get more information about this book, to buy it in print, or to download it as a free PDF. 1) Gross Errors. Gross errors are caused by mistake in using instruments or meters, calculating measurement and recording data results. The best example of these errors is a person or operator reading pressure gage N/m2 as N/m2.
Miller WG, Myers GL, Sakurabayashi I, et al. Seven direct methods for measuring HDL and LDL cholesterol compared with ultracentrifugation reference measurement procedures. Clin Chem ; Meeusen JW, Snozek CL, Baumann NA, et al. Reliability of Calculated Low-Density Lipoprotein Cholesterol. 24 Cholesterol Confusion 7 The Measurement Problem Cholesterol research, especially the older cholesterol research that Gary Taubes selectively used in his book, has produced seemingly inconsistent findings.
Recommendations for Improving Cholesterol Measurement: A Report National Cholesterol Education Program (U.S.). Laboratory Standardization Panel of the National Cholesterol Education Program, National Cholesterol Education Program (U.S.). Laboratory Standardization Panel Vista completa - Once women reach menopause, they have higher cholesterol levels than their male counterparts. Seasonal variation has been shown to affect cholesterol values. In one study, the cholesterol levels of subjects who were not receiving treatment were an average of mg/dL higher in December than in June. The reasons for this are still unknown.
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Page 51 - LDL biological variability, percent; triglyceride, percent.2 The number of subjects in the selected studies of total cholesterol variability ranged from small (less than 20) to quite large (14,).
Not surprisingly, the number of specimens and the sampling intervals varied as well. Specifically, the paper describes the within-person variability of cholesterol measurement and discusses the implications for screening and for monitoring interventions.
CHOLESTEROL MEASUREMENTS IN THE MRC MILD HYPERTENSION TRIAL The MRC Mild Hypertension Trial (MHT) took place in the U.K. between andand its design [1, 2] and principal results [3, 4] have Cited by: Various measurements of variability were used: 1) corrected variability independent of the mean (cVIM) (the primary measure), in which VIM was calculated as × standard deviation/mean beta, where beta is the regression coefficient, on the basis of the natural logarithm of the standard deviation over the natural logarithm of the mean, and then corrected using the formula [VIM uncorrected x mean Cited by: For instance, while a single cholesterol measurement has relatively low analytical variation, the biological variation is about threefold higher, meaning a cholesterol level reported two or three months later could be quite different from the original measurement on the basis of an individual’s physiology and not because of any intervention Author: James P McCormack, Daniel T Holmes, Daniel T Holmes.
1. Cooper GR, Myers GL, Smith SJ, Schlant RC: Blood lipid ions and practical–A thorough discussion of sources of errors in lipid measurements and recommendation to physicians about how to calculate significance of biologic variation effect on the lipid by: Di⁄erence this to eliminate the –xed e⁄ect i.
y it y it 1 = (x it x it 1)+ it it 1 As before we only observe ex it = x it +u our results from above plim b = ˙2 xFile Size: KB. The standard deviation is an especially useful measure of variability when the distribution is normal or approximately normal (see Chapter on Normal Distributions) because the proportion of the distribution within a given number of standard deviations from the mean can be calculated.
For example, 68% of the distribution is within one standard. Systematic errors are errors that are not determined by chance but are introduced by an inaccuracy (involving either the observation or measurement process) inherent to the system.
Systematic error may also refer to an error with a non-zero mean, the effect of. GAO found that: (1) the natural daily variation in cholesterol levels and instrument measurement errors make it impossible to pinpoint individual cholesterol levels; (2) over different devices with different technologies and chemical formulations are available to perform cholesterol tests; (3) standard cholesterol tests measure two cholesterol components, total cholesterol, and a related blood fat.
The measured cholesterol level is in- fluenced by long-term or clinically significant biologic factors, transient or insignificant biologic factors, and measurement error. The main determinants of the cholesterol level are genetic characteristics, diet, exercise, and lipid-lowering medications.
Cholesterol is measured in the infranate to provide the sum of LDL and HDL cholesterol, and then LDL particles are precipitated from the infranate, and HDL cholesterol is measured in the remaining supernatant. LDL cholesterol is then calculated as infranate cholesterol minus HDL cholesterol.
Ezetimibe is a cholesterol absorption inhibitor, with the potency to decrease LDL-C for about %, apolipoprotein B (apoB) for %, while, in combination therapy with statins, leads to an. "Biological variability is not a problem of faulty lab measurement--it's just the way someone's cholesterol level actually changes over time," explains Paul Fischer of the Medical College of Georgia.
According to Gerald Cooper of the Centers for Disease Control, the average person's cholesterol level varies within a range of about plus or minus. NRS/CHOL – National Reference System for Cholesterol, CRMLN – Cholesterol Reference Method Laboratory Network, CV – coefficient of variation, QC – quality control, HDL – high-density lipoprotein, LDL – low-density Size: KB.
LDL cholesterol measurement is also complicated by the need for specialist assays to measure it directly or the analysis of a fasting sample to allow indirect calculation (using the Friedwald equation).
7 The National Cholesterol Education Program guidelines for the USA recommend a 6-monthly monitoring of LDL cholesterol, as do the Australian guidelines of the National Heart Foundation and Cardiac Society. 8 In addition, apolipoprotein B and non-HDL cholesterol Cited by: 8.
Yet, there is significant difference between the two sets of numbers. For example, the daily earnings of Employee A are much more consistent than those of Employee B, which show great variation. This example illustrates the need for measures of variation or spread. Range The most elementary measure of variation is range.
Range is defined as the. This single measurement of the period suggests a precision of ± s, but this instrument precision may not give a complete sense of the uncertainty.
If you repeat the measurement several times and examine the variation among the measured values, you can get a. We also repeated all analyses using coefficient of variation (CV) instead of standard deviation as the measure of VVV and using a continuous measure of LDL-C VVV.
Data analyses were conducted using SAS/STAT software, Version of the SAS System for Windows (–,SAS Institute Inc., Cary, NC, USA).Cited by:. The standard "cholesterol test" is a blood lipid test in which a sample of blood is drawn and then analyzed in a lab to measure: ow-density lipoprotein (LDL) or “bad” cholesterol.
Desirable result: Less than milligrams per deciliter (mg/dL).low HDL-cholesterol concentration is considered to be a value below 35 mg/dL, and high HDL, >60 mg/dL. HDL-cholesterol values are also used in the calculation of LDL-cholesterol (see LDL section below).
Direct HDL method. HDL is measured directly in serum. The basic principle of .For traditional lab testing for patients, cholesterol is estimated rather than measured because direct measurement using ultracentrifugation isn’t time- or cost-effective—although ultracentrifugation provides the most accurate measurement.
Other direct measurement methods are available, but their accuracy and variability isn’t predictable.