Clinical Chemistry
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Clinical Chemistry 46: 506-514, 2000;
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (25)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nauck, M.
Right arrow Articles by Rifai, N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nauck, M.
Right arrow Articles by Rifai, N.
Related Collections
Right arrow Lipids, Lipoproteins, and Cardiovascular Risk Factors
(Clinical Chemistry. 2000;46:506-514.)
© 2000 American Association for Clinical Chemistry, Inc.


Articles

Analytical and Clinical Performance of a Detergent-based Homogeneous LDL-Cholesterol Assay: A Multicenter Evaluation

Matthias Nauck1,9,a, Maria Stella Graziani2, Deborah Bruton3, Christa Cobbaert4, Thomas G. Cole5, Fabrice Lefevre6, Walter Riesen7, Paul S. Bachorik8 and Nader Rifai9

1 University Hospital Freiburg, Department of Clinical Chemistry, D-79106 Freiburg, Germany.

2 Laboratorio Chimica Clinica, Verona 37126, Italy.

3 Evaluation Department, Roche Diagnostics, Indianapolis, IN 46250.

4 Academic Hospital Rotterdam, Department of Clinical Chemistry, Lipid Reference Laboratory, 3015 GD Rotterdam, The Netherlands.

5 Washington University School of Medicine, Core Laboratory for Clinical Studies, St. Louis, MO 63110.

6 Hôpital Robert Debré, Laboratoire Central de Biochimie, Reims 51092, France.

7 Institut für Klinische Chemie und Hämatologie des Kantons St. Gallen, St. Gallen 9001, Switzerland.

8 The Johns Hopkins University School of Medicine, Baltimore, MD 21205.

9 Childrens’s Hospital and Harvard Medical School, Department of Laboratory Medicine, Boston, MA 02115.
a Address correspondence to this author at: University Medical Center Freiburg, Department of Clinical Chemistry, Hugstetter Strasse 55, D-79106 Freiburg i. Br., Germany. Fax 49-761-270-3444; e-mail manauck{at}med1.ukl.uni-freiburg.de


   Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Background: LDL-cholesterol (LDL-C) concentrations currently are determined in most clinical laboratories using the Friedewald calculation. This approach has several limitations and may not always meet the current total error recommendation in LDL-C measurement of <=12% established by the National Cholesterol Education Program.

Methods: In a multicenter study, we evaluated the analytical and clinical performance of a homogeneous LDL-C assay (LDL-CRoche; Roche Diagnostics, Indianapolis, IN) in a comparison with a ß-quantification method.

Results: This direct assay correlated highly with a ß-quantification method (r = 0.968; y = 1.037x - 95.8 mg/L; n = 355; 95% confidence intervals, 1.011–1.063 for the slope and -129.5 to 62.0 mg/L for the y-intercept) and met the current total error requirement. The assay was not affected significantly by concentrations of hemoglobin up to 6000 mg/L or bilirubin up to 500 mg/L. However, a negative bias of 10% was seen when triglyceride concentrations exceeded 10 000 mg/L. At the medical decision cut-point range, the LDL-CRoche assay showed positive predictive values of 91–100% and negative predictive values of 80–99%. Furthermore, the clinical utility of the assay seemed unaffected in samples obtained postprandially.

Conclusions: The homogeneous LDL-CRoche assay meets the currently established analytical performance goals and may be useful for the diagnosis and management of hyperlipidemic patients.


   Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
The positive association of total cholesterol (TC)1 and LDL-cholesterol (LDL-C) concentrations with risk of coronary heart disease (CHD) is well established (1)(2)(3). According to the National Cholesterol Education Program-Adult Treatment Panel II (NCEP-ATP II), the diagnosis and management of adult patients with hypercholesterolemia is largely based on the concentration of LDL-C (4)(5). The NCEP-ATP II stipulates that LDL-C values <1300 mg/L are considered desirable and those >1600 mg/L are considered high in the general population. Patients with documented CHD are recommended to maintain their LDL-C concentrations below 1000 mg/L.

The ß-quantification method, which involves an ultracentrifugation step (LDL-CUC), is a generally accepted method to determine LDL-C. In addition, the Friedewald calculation (LDL-CFried), which is the most commonly used procedure in clinical laboratories for the estimation of LDL-C, is the routine method recommended by the NCEP Working Group on Lipoprotein Measurement (6)(7). Although the latter method correlates highly with the ß-quantification, it has several shortcomings (8): it is invalid when a specimen is collected in the nonfasting state or from a patient with type III hyperlipoproteinemia, or in the presence of increased triglycerides (TGs >4000 mg/L). Furthermore, because this calculation requires the determination of three different measurements [TC, TGs, and HDL-cholesterol (HDL-C)], each with its own analytical CV, it may not always meet the performance criteria of total error <=12% established by the NCEP. Therefore, the NCEP Working Group on Lipoprotein Measurement recommended the development of direct methods for LDL-C measurement (7). A new homogeneous assay for the determination of LDL-C has been developed recently and is being introduced by Roche Diagnostics (LDL-CRoche; Roche Diagnostics, Indianapolis, IN) (9). The goal of this multicenter study was to evaluate the analytical and clinical performance of this new assay.


   Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
samples
Fresh serum samples (n = 355) were obtained, after an overnight fast, at three centers for the patient correlation studies. Paired serum samples, one obtained after 12-h fasting and another 3.5 h after a high-fat meal (~32 g of fat), were collected from 43 healthy subjects to determine the postprandial effect on the measurement of LDL-C by this direct homogeneous method. In addition, 29 fresh-frozen human serum samples were sent to seven laboratories in the United States and Europe, where the homogeneous LDL-CRoche assay was performed using the Roche/Hitachi 704, 911, 912, or 917 analyzers. These samples were characterized by the LDL-CCRMLN method at Northwest Lipid Research Laboratories in Seattle, WA, a Cholesterol Reference Method Laboratory Network (CRMLN) Laboratory.

lipid measurements
TC and TGs were determined enzymatically with the CHOD-PAP (cat. no. 450061; Roche Diagnostics) and GPO-PAP (cat. no. 1488872; Roche Diagnostics) methods, respectively, according to the manufacturer’s specifications. The day-to-day imprecision of the two methods, reflected by the CV when Precinorm® L and Precipath® HDL/LDL controls were used, was <3%. HDL-C was measured using a homogeneous assay (cat. no. 1930672; Roche Diagnostics) (10)(11)(12)(13). HDL-C was measured with a day-to-day CV of <3%.

ldl-croche assay
At neutral pH (pH 7.0) and in the presence of MgCl2, sulfated {alpha}-cyclodextrin, and dextran sulfate, the enzymatic reaction for cholesterol in VLDL and chylomicrons is markedly reduced (reagent 1, cat. no. 1985604; Roche Diagnostics). The nonionic detergent in reagent 2, which selectively solubilizes LDL-C but not HDL-C, enables the measurement of LDL-C by a conventional enzymatic reaction (9). The assay was calibrated as recommended with the Calibrator for automated systems (C.f.a.s.) LDL-C Plus calibrator, which is standardized to the CRMLN reference method, and performed according to the manufacturer’s recommendation.

ß-quantification (ldl-cuc)
An accurately measured volume of serum was place into an ultracentrifugation tube, overlayed with sufficient 0.15 mol/L NaCl to fill the tube, and centrifuged at 105 000g for 18 h at 10 °C in Baltimore and St. Louis. In Boston, ultracentrifugation was performed at 250 000g for 3 h at 10 °C. The floating layer containing VLDL and chylomicrons (if present) was removed, and the infranatant was reconstituted to known volume and analyzed for cholesterol using the enzymatic cholesterol assay. LDL-CUC was calculated as the difference between the cholesterol concentration of the infranatant and HDL-C, measured by dextran sulfate precipitation in Boston and St. Louis and by homogeneous assay in Baltimore. All three laboratories that performed the ß-quantification are certified by the CDC National Heart, Lung and Blood Institute Lipid Standardization Program (TC, TG, HDL-C) and two of them participate in the Alert Proficiency Survey (Pacific Biometrics Research Foundation, Seattle, WA) to periodically check the accuracy of the ß-quantification procedure. The LDL-C concentrations of the 29 samples involved in the interlaboratory survey were determined by the CRMLN Method (LDL-CCRMLN), which uses a heparin/Mn2+ precipitation with subsequent cholesterol determination by the Abell-Kendall method.

ldl-cfried
LDL-CFried (6) was calculated using the following equation:

after excluding samples with TGs >4000 mg/L. [TG]/5 is an estimate of VLDL-C. All concentrations are in mg/L (6).

linearity
Human LDL concentrates (Scantibodies, Inc.) were serially diluted with 9 g/L NaCl at 11 different concentrations by the eight participating laboratories. The predicted values were calculated by a regression line according to Passing and Bablok, using LDL-CRoche concentrations up to 4000 mg/L (14).

interferences
Interferences from hemoglobin and bilirubin were determined according to Glick et al. (15). In addition, isolated VLDL and chylomicrons were added to different pooled sera at various concentrations to determine the effect of increased TGs on the measurement of LDL-CRoche.

method comparison
In three laboratories, the LDL-CRoche assay and the LDL-CFried were compared with the LDL-CUC. A total of 355 fresh sera were analyzed in parallel. In addition, the influences of increasing concentrations of LDL-CUC and TGs on the LDL-CRoche assay were examined by bias plots using the 355 samples mentioned above. To account for the interlaboratory biases of the lipid determinations in the three laboratories, the data were adjusted to CDC reference values using the results of CDC National Heart, Lung and Blood Institute Lipid Standardization Program Part III measurements made in the three laboratories during the study period January 1998 through March 1998). In each laboratory, four different samples for the lipid measurements of TC, TGs, and HDL-C were analyzed 18 times. The biases for TC, TGs, and HDL-C were calculated for each sample, using the differences of the results by the CDC and each laboratory; the mean biases for TC, TGs, and HDL-C were then calculated for each laboratory. The mean biases were -43 to 17 mg/L for TC, -12 to 24 mg/L for TGs, and 2–11 mg/L for HDL-C, respectively.

The adjustments of the data were then calculated specifically for each laboratory. The adjustments for LDL-CUC and LDL-CFried were performed according to the following equations:


These adjusted data were used for all analyzes.

precision study
Two commercial control sera, with low and high LDL-C concentrations, and two human serum pools were used to assess the precision of the new homogeneous LDL-C assay in eight laboratories, according to the NCCLS EP5-T protocol (16).

postprandial study
In this study, the effect of feeding on the determination of LDL-C concentration by the Roche assays was examined in paired samples from 43 subjects.

storage of samples
Fresh serum samples (n = 125) were assayed using the LDL-CRoche assay immediately after collection and after storage at -20 °C for up to 12 months in a noncycling freezer to determine the effect of storage on the measurement of LDL-CRoche. In addition, the short-term storage up to 14 days at 4 °C was also examined using two serum pools.

statistical methods
Regression analyses were performed using the method of Passing and Bablok (14). Total error was calculated as the sum of the systematic error plus random error (17)(18). Systematic error was calculated from the linear regression equation yc = bxc + a, where b is the slope of the regression line, and a is the y-axis intercept (LDL-CUC vs LDL-CRoche). At an LDL-C concentration of xc, systematic error was the absolute value of yc - xc. Random error was 1.96 x CV, based on the run-to-run precision study. Results were considered statistically significant at P <0.05. The positive predictive value (PPV) of an LDL-C assay at each specified cut-point was calculated as: [true positive/(true positive + false positive)] x 100, where "true positive" means that the LDL-C results of both the comparison procedure (LDL-CUC) and the test method (LDL-CRoche or LDL-CFried) were greater than or equal to the cutoff concentration, and "false positive" means that the test method LDL-C result was greater than the cut-point when the reference procedure LDL-C value was less than the cut-point. The negative predictive value (NPV) of an LDL-C assay at each specified cut-point was calculated as [true negative/(true negative + false negative)] x 100, where "true negative" means that the LDL-C results of both the reference procedure and the test method were less than the cut-point concentration, and "false negative" means that the test method LDL-C result was less than the cut-point when the reference procedure LDL-C value was greater than or equal to the cut-point concentration.


   Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
analytical performance
Two lyophilized control sera (Precinorm L and Precipath HDL/LDL) and two human serum pools, prepared by the individual sites, were used to assess the imprecision of the LDL-CRoche assay in all eight participating laboratories. No difference in the reproducibility was observed between the lyophilized controls and the human serum pools. The mean total CVs at LDL-C concentrations of ~700 mg/L (human serum pool 1), 950 mg/L (Precinorm L), 1300 mg/L (human serum pool 2), and 2100 mg/L (Precipath L) were between 0.7% and 3.1% (Table 1 ) and did not vary significantly with concentration.


View this table:
[in this window]
[in a new window]
 
Table 1. Summary of the precision studies in human serum pools prepared by the individual laboratories and common lyophilized control materials.1

linearity
The dilution experiment conducted in all participating laboratories demonstrated that the assay is linear up to 4000 mg/L of LDL-C [y = 0.996x - 1.29 mg/L; r = 1.000; n = 52; 95% confidence interval (CI), 0.989–1.002 for the slope, and -7.26 to 1.28 mg/L for the y-intercept]. At LDL-C concentrations >4000 mg/L, negative biases from the expected values of approximately -5%, -9%, and -12% were seen at 5000, 6000, and 7000 mg/L, respectively.

method comparisons
A total of 355 freshly collected sera were analyzed in three laboratories with the LDL-CUC, the LDL-CRoche assay, and the LDL-CFried calculation. Means, standard deviations (± 1 SD), and ranges for TC, TGs, HDL-C, and LDL-CUC were 2195 ± 494 (990–3880), 2017 ± 1632 (180–12 290), 470 ± 133 (189–1081), and 1357 ± 436 (240–2758) mg/L, respectively. The comparison-of-methods plot [LDL-CUC (x) vs test method (y)] showed regression lines according to Passing and Bablok of y = 1.037x - 95.8 mg/L (r = 0.968; n = 355; 95% CI, 1.011–1.063 for the slope and -129.5 to 62.0 mg/L for the y-intercept) for the LDL-CRoche assay, and y = 1.025x - 69.0 mg/L (r = 0.974; n = 313; 95% CI, 1.004–1.047 for the slope, and -98.3 to 40.6 mg/L for the y-intercept) for the LDL-CFried calculation (Fig. 1 ). For the row data, the equations of the regression lines according to Passing and Bablok were: y = 1.042x - 124.2 mg/L (r = 0.961; n = 355; 95% CI, 1.011–1.072 for the slope, and -158.4 to 81.1 mg/L for the y-intercept) for the LDL-CRoche assay; and y = 1.024x - 66.5 mg/L (r = 0.973; n = 313; 95% CI, 1.002–1.046 for the slope, and -6.9 to 38.0 mg/L for the y-intercept) for the LDL-CFried assay (data not shown). In these method comparisons, the LDL-CFried concentrations were included only for those samples with TG concentrations <4000 mg/L. To better illustrate the performance of the LDL-CRoche assay in hypertriglyceridemic samples, specimens with TG concentrations <4000 mg/L and those with TG concentrations >=4000 mg/L were compared separately with the LDL-CUC procedure. A regression line of y = 1.035x - 111.0 mg/L (r = 0.957; n = 313; 95% CI, 1.002–1.068 for the slope, and -151.1 to 68.4 mg/L for the y-intercept) was obtained for samples with TG concentrations <4000 mg/L; and a line of y = 1.074x - 169.5 mg/L (r = 0.954; n = 42; 95% CI, 0.957–1.188 for the slope, and -293.9 to 44.3 mg/L for the y-intercept) was obtained for samples with TG concentrations >=4000 mg/L.



View larger version (19K):
[in this window]
[in a new window]
 
Figure 1. Comparison of the LDL-CRoche assay with LDL-CUC (A) and LDL-CFried (B), respectively.

{square}, samples with TGs <4000 mg/L (n = 313); {blacksquare}, samples with TGs >=4000 mg/L (n = 42). The dotted line represents the line of identity, whereas the solid line depicts the regression line according to Passing and Bablok. The equations of the regression lines are as follows: (A), y = 1.037x - 95.8 mg/L (r = 0.968; n = 355; 95% CI, 1.011–1.063 for the slope, and -129.5 to 62.0 mg/L for the y-intercept); (B), y = 1.025x - 69.0 mg/L (r = 0.974; n = 313; 95% CI, 1.004–1.047 for the slope, and -98.3 to 40.6 mg/L for the y-intercept).

concentration difference plots
The concentration differences of the homogeneous LDL-CRoche assay from LDL-CUC and LDL-CFried from LDL-CUC were examined as a function of either increased LDL-CUC or TGs. In samples with TG concentrations <4000 mg/L, the LDL-CRoche assay and the LDL-CFried showed a relatively constant mean negative bias of -60 and -30 mg/L, respectively, independent of the LDL-CUC concentration. In samples with TG concentrations >=4000 mg/L, the scattering of LDL-CRoche was comparable to the results of samples with TG concentrations <4000 mg/L, whereas the concentration differences increased tremendously for LDL-CFried (Fig. 2 , A and B). The negative bias of the LDL-CRoche assay increased slightly from a mean of -56 mg/L at a TG concentration of 1000 mg/L to a mean of -82 mg/L at a TG concentration of 10 000 mg/L. The mean bias of -30 mg/L of LDL-CFried was only marginally influenced by increasing TG concentrations up to 4000 mg/L. However, this negative bias increased dramatically in samples with TG concentrations >=4000 mg/L: up to more than -500 mg/L at a TG concentration of 10 000 mg/L (Fig. 2 , C and D).



View larger version (35K):
[in this window]
[in a new window]
 
Figure 2. The effect of increased LDL-CUC and TG concentrations on the LDL-C measurement by the homogeneous Roche assay (A and C) and the Friedewald equation (B and D).

Concentration difference [test method LDL-C minus the LDL-CUC] is plotted as a function of LDL-CUC and TG concentrations, respectively. {square}, samples with TGs <4000 mg/L; {blacksquare}, samples with TGs >=4000 mg/L, measured by the LDL-CRoche assay. •, samples with TGs >=4000 mg/L, estimated by the Friedewald equation (6). This calculation is not recommended for samples with TGs >=4000 mg/L. The dotted lines represent the absence of bias. The solid lines represent the regression of all samples measured by the LDL-CRoche assay, or samples with TGs <4000 mg/L estimated by LDL-CFried. The dashed lines represent the regression line of samples with TGs >=4000 mg/L, estimated by LDL-CFried. CP, common precipitation.

total error
The systematic error of the LDL-CRoche assay at various LDL-C concentrations, encompassing the clinical decision cut-points (1000–1900 mg/L), ranged from 0.8% to 6.3% (Table 2 ). The random error was always <4%, as recommended by the NCEP (7). This assay fulfilled the current NCEP total error requirements for LDL-C at the clinical decision cut-point range.


View this table:
[in this window]
[in a new window]
 
Table 2. Total error of the new homogeneous LDL-CRoche assay as calculated at mean LDL-C concentrations that encompassed the clinical decision cut-points (1000, 1300, 1600, and 1900 mg/L).1

interlaboratory survey
The LDL-CRoche values of the 29 fresh-frozen serum samples reported by seven participating laboratories were compared with those obtained by the LDL-CCRMLN method (Table 3 ). Means, standard deviations (± 1 SD), and ranges for TC, TGs, HDL-C, and LDL-CCRMLN were 2186 ± 381 (1290–2950), 1313 ± 788 (520–3510), 529 ± 160 (303–973), and 1427 ± 348 (690–2080) mg/L, respectively. The slopes and y-intercepts of the regression lines according to Passing and Bablok were comparable. All of the slopes were >1, whereas the y-intercepts were negative. The mean biases ranged from -12 to 72 mg/L. When the imprecision from these measurements was calculated, the interlaboratory CVs of the samples were on average 2.5%, with a range of 1.7–4.4%. These findings confirm the good agreement among the seven laboratories in the measurement of the LDL-CRoche assay, regardless of the type of the Roche/Hitachi analyzer used.


View this table:
[in this window]
[in a new window]
 
Table 3. Interlaboratory survey of 29 fresh-frozen human serum samples.1

interferences
Hemoglobin at a concentration of 6000 mg/L caused a positive bias in the LDL-CRoche assay by ~10% (data not shown). Unconjugated and conjugated bilirubin added to serum pools up to concentrations of 500 and 250 mg/L, respectively, showed a tendency to decrease the LDL-CRoche value by <5% (data not shown). Isolated VLDL and chylomicrons, which were added to serum pools at different concentrations, showed a negative bias slightly >10% when the TG concentration exceeded 10 000 mg/L (data not shown).

classification of patients according to ncep guidelines
The LDL-CRoche assay and the LDL-CFried method were compared for their ability to appropriately classify patients into treatment groups as established by the NCEP (Fig. 3 ) (4). For this purpose, the UC method used in the three laboratories involved in the method comparison, adjusted to CDC reference values, was considered the reference method. In those subjects with LDL-C below 1000 and 1300 mg/L, 96% were classified correctly using the LDL-CRoche assay. In those with LDL-C concentrations of 1300–1600 and >1600 mg/L, 68–81% of subjects were classified correctly by the homogeneous method. The LDL-CFried correctly classified a slightly higher percentage of subjects than the homogeneous method. It is important to note, however, that with the Friedewald method, only those samples with TG concentrations <4000 mg/L were included in the analysis. In those with LDL-C >1900 mg/L, both methods classified at least 89% of subjects correctly.



View larger version (32K):
[in this window]
[in a new window]
 
Figure 3. Subjects correctly classified, using LDL-CUC according to NCEP cut-points.

(top), LDL-CRoche assay; (bottom), LDL-CFried. Values presented as number of correctly classified subjects per total number of subjects in that category; boldface values in gray boxes show correctly classified subjects. All study samples were measured by the LDL-CRoche assay (n = 355). However, only samples with TGs <4000 mg/L were used for the Friedewald calculation (n = 313).

The effects of TGs on the classification of subjects into NCEP cut-points, using both the LDL-CRoche and LDL-CFried methods, are presented in Table 4 . The classification in samples with TG concentrations of <2000 mg/L and 2000–4000 mg/L was slightly better when the LDL-CFried was used (88.6% vs 85.3% and 92.9% vs 88.9%). In samples with TG concentrations >4000 mg/L, for which the Friedewald calculation could not be used, the percentage of correctly classified subjects by the LDL-CRoche was nearly perfect (97.5% for TG concentrations of 4000–6000 mg/L, and 100.0% for TG concentrations >6000 mg/L).


View this table:
[in this window]
[in a new window]
 
Table 4. Effect of TG concentration on the classification of subjects correctly into NCEP cut-points using LDL-CRoche and LDL-CFried.1

ppv and npv
The ability of the LDL-CRoche assay to correctly classify subjects at the medical decision cut-points was evaluated in this study population (n = 355), using the LDL-CUC concentrations as the true values. For the interest of comparison, the PPV and NPV of LDL-CFried were also examined using only those subjects with TG concentrations <4000 mg/L (n = 313). The PPV of LDL-C estimated by either method decreased as LDL-C concentrations increased (PPV range, 91–100% for LDL-CRoche assay and 90–99% for LDL-CFried; Fig. 4 A). In contrast, the NPV of LDL-C estimated by either method increased as LDL-C concentrations increased (NPV range, 80–99% for LDL-CRoche assay and 81–99% for LDL-CFried; Fig. 4B ). The PPVs were similar for both methods, whereas the NPV was slightly better for the LDL-CFried assay.



View larger version (30K):
[in this window]
[in a new window]
 
Figure 4. The PPV (A) and NPV (B) of LDL-C concentrations, obtained with either the LDL-CRoche assay (filled columns; n = 355) or the Friedewald calculation (open columns; n = 313), at the medical decision cut-points.

In the Friedewald equation, only those samples with TGs <4000 mg/L were used.

postprandial study
As expected, TGs increased significantly (1365 vs 2036 mg/L; P <0.001) after feeding. Statistically significant decreases were also seen in both TC (2009 vs 1973 mg/L; P <0.01) and HDL-C (513 vs 490 mg/L; P <0.001) in samples obtained in the fasting state and postprandially. Although a good correlation was seen in LDL-CRoche concentrations among the paired samples (y = 0.95x - 5.4 mg/L; r = 0.98), significant decreases occurred postprandially [1345 vs 1262 mg/L (-6.2%); P <0.001]. When we used the LDL-CFried, which is not recommended in the postprandial state, the equation of the regression line showed a negative intercept (y = 0.97x - 90.9 mg/L; r = 0.98), producing a significant discrepancy between the paired samples [1294 vs 1146 mg/L (-11.4%)]. However, despite this difference, LDL-CRoche measured after feeding was equally effective in classifying these 43 participants into NCEP cut-points. In fact, 86% of subjects (37 of 43) were correctly classified when nonfasting samples were used compared with 83% (36 of 43) when fasting samples were used.

storage
When serum samples were reanalyzed 12 months after storage at -20 °C, a good agreement (y = 1.012x - 26.41 mg/L; r = 0.984; 95% CI, 0.991–1.035 for the slope, and -40.7 to 7.3 mg/L for the y-intercept; baseline mean ± SD, 844 ± 425.0 mg/L; mean ± SD after storage 834 + 441.7 mg/L; P, not significant) between these LDL-C values and those obtained at baseline was seen in 121 of the 124 samples examined. The three discrepant samples were grossly hypertriglyceridemic (11 590, 16 990, and 16 700 mg/L). After storage, these samples showed a positive bias in the LDL-CRoche assay of 2054, 1189, and 1389 mg/L, respectively. Furthermore, storage of two serum pools at 4 °C for up to 14 days did not affect the measurement of LDL-C by the homogeneous assay (pools 1 and 2, 725 and 1274 mg/L, respectively, at baseline and 730 and 1277 mg/L, respectively, after 14 days).


   Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Numerous epidemiological studies and prospective clinical trials have demonstrated that an increased LDL-C concentration is an important independent risk factor for CHD. In addition, the reduction of increased LDL-C is a major goal for the primary and secondary prevention of CHD (2)(3)(19). The Friedewald calculation for estimating the LDL-C concentration is the routine method currently recommended by the NCEP Working Group for Lipoprotein Measurement. Because of the shortcomings of this calculation, methods for the direct determination of LDL-C are needed (7). Homogeneous methods have the apparent advantage of obviating the need for pretreatment of samples, being performed online, and requiring only a few microliters of sample. The purpose of this multicenter study was to evaluate the analytical and clinical performance of the recently introduced liquid homogeneous LDL-CRoche method.

The NCEP recommends that the total error for LDL-C determination be <12%, which can be achieved by an imprecision of <=4% and a bias from the reference method of <=4% (7). The imprecision criterion was met by all eight laboratories that participated in this study, whereas the bias exceeded 4% at different LDL-C concentrations. This bias tended to increase with decreasing LDL-C concentrations. Because the imprecision seen was low, this homogeneous assay met the NCEP total error requirements in the range of the clinical decision cut-points.

Good agreement was seen between the LDL-CRoche and the LDL-CUC procedures. The bias plots revealed a constant negative bias that was independent of the LDL-CUC concentration. In samples with TG concentrations >=4000 mg/L, this negative bias was slightly accentuated when the LDL-CRoche assay was used. However, the negative bias of LDL-CFried was much more pronounced in such samples, so that this method is obsolete in samples with TG concentrations >=4000 mg/L, as already published by Friedewald himself (6). In addition, the results of the method comparisons further support that the homogeneous LDL-CRoche assay can be used in the determination of LDL-C in hypertriglyceridemic samples. Therefore, the LDL-CRoche assay provides laboratorians the means to measure LDL-C in samples with increased TGs. The UC method measures the cholesterol component of the wide-density LDL fraction, which includes LDL, intermediate density lipoprotein, and lipoprotein(a). The good agreement between the UC procedure and this homogeneous assay suggests that the latter is capable of measuring the cholesterol content of the broad density LDL fraction. However, the constant negative bias seen between the LDL-CRoche and the UC may be an indication of a suboptimal standardization of the new homogeneous LDL-CRoche assay.

The effects of common interferents were investigated by addition experiments and bias plots using the serum samples included in the method comparison study. Addition experiments showed no significant interference caused by free hemoglobin up to concentrations of at least 6000 mg/L and unconjugated or conjugated bilirubin up to 500 and 250 mg/L, respectively. Different addition experiments with isolated TG-rich lipoproteins showed deviations of >10% for LDL-CRoche values when TGs exceeded 10 000 mg/L. A slight but incremental negative bias in LDL-CRoche was also apparent from the bias plot as TG concentrations increased. Although this method enables the determination of LDL-C in samples with TG concentrations >4000 mg/L, the LDL-C results tended to decrease with increasing TG values, whereas an earlier reported homogeneous method tended to increase (20).

According to the NCEP-ATP II guidelines, the management of hyperlipidemic patients, using either dietary or drug therapy, is based on four LDL-C cut-points (1000, 1300, 1600, or 1900 mg/L). LDL-C concentrations determined by either the LDL-CRoche assay or the adjusted LDL-CFried correctly classified 86% and 89% of the subjects, respectively, into the above mentioned cut-points. The LDL-CRoche assay was able to correctly classify into NCEP cut-points nearly all subjects with TG concentrations >=4000 mg/L, samples in which the Friedewald LDL should not be applied. This will provide the clinical laboratory the ability to measure LDL-C in hypertriglyceridemic samples and alleviate the need for the expensive, time-consuming, cumbersome UC procedure. Furthermore, our data indicate that the LDL-CRoche assay is effective in classifying subjects into NCEP cut-points when samples collected postprandially are used.

Our data show that storage at -20 °C for up to 12 months did not influence the measurement of samples with TG concentrations <10 000 mg/L. However, in turbid samples with TG concentrations >10 000 mg/L, unacceptable overestimation of the LDL-C concentration (>1000 mg/L) was seen. Therefore, this assay is not adequate for use in grossly lipemic samples stored frozen at -20 °C. In addition, our data indicate that samples stored at 4 °C for up to 2 weeks did not experience any change in their LDL-C concentrations when measured by the homogeneous assay. This observation could have a practical importance to the clinical laboratory.

In conclusion, the homogeneous LDL-CRoche assay is precise and acceptably accurate. It represents an improvement in the measurement of LDL-C concentration in samples with increased TGs or samples collected postprandially and may assist in the identification of individuals at increased risk of CHD and the management of patients with hyperlipoproteinemia.


   Acknowledgments
 
We thank Francesca Colella, Philippe Gillery, Michael König, Terence Law, Michael Macke, Winfried März, Claudine Meier, Martin van Vliet, and Heinrich Wieland of the participating laboratories, and Jochen Jarausch, Ann Foster, and Ken Slickers from Roche Diagnostics, all of whom were involved in this study. We also thank Roche Diagnostics for providing the test kits.


   Footnotes
 
1 Nonstandard abbreviations: TC, total cholesterol; LDL-C and HDL-C, LDL- and HDL-cholesterol; CHD, coronary heart disease; NCEP, National Cholesterol Education Program; ATP II, Adult Treatment Panel II; LDL-CUC, LDL-C measured by ultracentrifugation; LDL-CFried, LDL-C calculated by the Friedewald equation; TG, triglyceride; LDL-CRoche, LDL-C measured by the Roche assay; CRMLN, Cholesterol Reference Method Laboratory Network; PPV, positive predictive value; NPV, negative predictive value; CI, confidence interval; and UC, ultracentrifugation.


   References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Law MR, Wald NJ, Thompson SG. By how much and how quickly does reduction in serum cholesterol concentration lower risk of ischaemic heart disease?. Br Med J 1994;308:367-372.[Abstract/Free Full Text]
  2. Randomised trial of cholesterol lowering in 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S). Lancet 1994;344:1383–9..
  3. Sacks FM, Pfeffer MA, Moye LA, Rouleau JL, Rutherford JD, Cole TG, et al. The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. Cholesterol and Recurrent Events Trial investigators. N Engl J Med 1996;335:1001-1009.[Abstract/Free Full Text]
  4. . National Cholesterol Education Program (NCEP). Second report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II). Circulation 1994;89:1333-1445.[Medline] [Order article via Infotrieve]
  5. . International Task Force for Prevention of Coronary Heart Disease. Prevention of coronary heart disease: scientific background and new clinical guidelines. Recommendations of the European Atherosclerosis Society. Nutr Metab Cardiovasc Dis 1992;2:113-156.
  6. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972;18:499-502.[Abstract]
  7. Bachorik PS, Ross JW. National Cholesterol Education Program recommendations for measurements of low-density lipoprotein cholesterol: executive summary. National Cholesterol Education Program Working Group on Lipoprotein Measurements. Clin Chem 1995;41:1414-1420.[Free Full Text]
  8. Rifai N, Warnick GR, McNamara JR, Belcher JD, Grinstead GF, Frantz ID, Jr. Measurement of low-density-lipoprotein cholesterol in serum: a status report. Clin Chem 1992;38:150-160.[Abstract/Free Full Text]
  9. Sugiuchi H, Irie T, Uji Y, Ueno T, Chaen T, Uekama K, et al. Homogeneous assay for measuring low-density lipoprotein cholesterol in serum with triblock copolymer and {alpha}-cyclodextrin sulfate. Clin Chem 1998;44:522-531.[Abstract/Free Full Text]
  10. Sugiuchi H, Uji Y, Okabe H, Irie T, Uekama K, Kayahara N, et al. Direct measurement of high-density lipoprotein cholesterol in serum with polyethylene glycol-modified enzymes and sulfated {alpha}-cyclodextrin. Clin Chem 1995;41:717-723.[Abstract/Free Full Text]
  11. Nauck M, März W, Jarausch J, Cobbaert C, Sägers A, Bernard D, et al. Multicenter evaluation of a homogeneous assay for HDL-cholesterol without sample pretreatment. Clin Chem 1997;43:1622-1629.[Abstract/Free Full Text]
  12. Harris N, Galpchian V, Thomas J, Iannotti E, Law T, Rifai N. Three generations of high-density lipoprotein cholesterol assays compared with ultracentrifugation/dextran sulfate-Mg2+ method. Clin Chem 1997;43:816-823.[Abstract/Free Full Text]
  13. Rifai N, Cole TG, Iannotti E, Law T, Macke M, Miller R, et al. Assessment of interlaboratory performance in external proficiency testing programs with a direct HDL-cholesterol assay. Clin Chem 1998;44:1452-1458.[Abstract/Free Full Text]
  14. Passing H, Bablok W. Comparison of several regression procedures for method comparison studies and determination of sample sizes. Application of linear regression procedures for method comparison studies in clinical chemistry. Part II. J Clin Chem Clin Biochem 1984;22:431-445.
  15. Glick MR, Ryder KW, Jackson SA. Graphical comparisons of interferences in clinical chemistry instrumentation. Clin Chem 1986;32:470-475.[Abstract/Free Full Text]
  16. . National Committee for Clinical Laboratory Standards. User evaluation of precision performance of clinical chemistry devices; tentative guideline EP5-T 1984 NCCLS, June Villanova, PA. .
  17. Carey RN, Garber CC. Evaluation of methods. Kaplan LA Pesce AJ eds. Clinical chemistry: theory 1996:402-423 CV Mosby analysis and correlation, 3rd ed. St. Louis. .
  18. Westgard JO, Carey RN, Wold S. Criteria for judging precision and accuracy in method development and evaluation. Clin Chem 1974;20:825-833.[Abstract]
  19. Shepherd J, Cobbe SM, Ford I, Isles CG, Lorimer AR, MacFarlane PW, et al. Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. West of Scotland Coronary Prevention Study Group. N Engl J Med 1995;333:1301-1307.[Abstract/Free Full Text]
  20. Rifai N, Iannotti E, DeAngelis K, Law T. Analytical and clinical performance of a homogeneous enzymatic LDL-cholesterol assay compared with the ultracentrifugation-dextran sulfate-Mg2+ method. Clin Chem 1998;44:1242-1250.[Abstract/Free Full Text]



The following articles in journals at HighWire Press have cited this article:


Home page
Clin. Chem.Home page
S. Mora, N. Rifai, J. E. Buring, and P. M Ridker
Comparison of LDL Cholesterol Concentrations by Friedewald Calculation and Direct Measurement in Relation to Cardiovascular Events in 27 331 Women
Clin. Chem., May 1, 2009; 55(5): 888 - 894.
[Abstract] [Full Text] [PDF]


Home page
J CARDIOVASC PHARMACOL THERHome page
E. T. Bairaktari, K. I. Seferiadis, and M. S. Elisaf
Evaluation of Methods for the Measurement of Low-Density Lipoprotein Cholesterol
Journal of Cardiovascular Pharmacology and Therapeutics, January 1, 2005; 10(1): 45 - 54.
[Abstract] [PDF]


Home page
Clin. Chem.Home page
S. Usui, H. Kakuuchi, M. Okamoto, Y. Mizukami, and M. Okazaki
Differential Reactivity of Two Homogeneous LDL-Cholesterol Methods to LDL and VLDL Subfractions, as Demonstrated by Ultracentrifugation and HPLC
Clin. Chem., November 1, 2002; 48(11): 1946 - 1954.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
W. G. Miller, P. P. Waymack, F. P. Anderson, S. F. Ethridge, and E. C. Jayne
Performance of Four Homogeneous Direct Methods for LDL-Cholesterol
Clin. Chem., March 1, 2002; 48(3): 489 - 498.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
M. Nauck, G. R. Warnick, and N. Rifai
Methods for Measurement of LDL-Cholesterol: A Critical Assessment of Direct Measurement by Homogeneous Assays versus Calculation
Clin. Chem., February 1, 2002; 48(2): 236 - 254.
[Abstract] [Full Text] [PDF]


Home page
Clin. Chem.Home page
J. Ordonez-Llanos, A. M. Wagner, R. Bonet-Marques, J. L. Sanchez-Quesada, F. Blanco-Vaca, and F. Gonzalez-Sastre
Which Cholesterol Are We Measuring with the Roche Direct, Homogeneous LDL-C Plus Assay?
Clin. Chem., January 1, 2001; 47(1): 124 - 126.
[Full Text] [PDF]


Home page
Clin. Chem.Home page
B. D. Ragland, R. J. Konrad, C. Chaffin, C. A. Robinson, and R. W. Hardy
Evaluation of a Homogeneous Direct LDL-Cholesterol Assay in Diabetic Patients: Effect of Glycemic Control
Clin. Chem., November 1, 2000; 46(11): 1848 - 1851.
[Full Text] [PDF]


Home page
Clin. Chem.Home page
D. Furuya, A. Yagihashi, S. Nasu, T. Endoh, T. Nakamura, R. Kaneko, C. Kamagata, D. Kobayashi, and N. Watanabe
LDL Particle Size by Gradient-Gel Electrophoresis Cannot Be Estimated by LDL-Cholesterol/Apolipoprotein B Ratios
Clin. Chem., August 1, 2000; 46(8): 1202 - 1203.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (25)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Nauck, M.
Right arrow Articles by Rifai, N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Nauck, M.
Right arrow Articles by Rifai, N.
Related Collections
Right arrow Lipids, Lipoproteins, and Cardiovascular Risk Factors


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS