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Dive into the research topics where Elizabeth T. Leary is active.

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Featured researches published by Elizabeth T. Leary.


Clinical Chemistry | 2010

Seven Direct Methods for Measuring HDL and LDL Cholesterol Compared with Ultracentrifugation Reference Measurement Procedures

W. Greg Miller; Gary L. Myers; Ikunosuke Sakurabayashi; Lorin M. Bachmann; Samuel P. Caudill; Andrzej Dziekonski; Selvin Edwards; Mary M. Kimberly; William J. Korzun; Elizabeth T. Leary; Katsuyuki Nakajima; Masakazu Nakamura; Göran Nilsson; Robert D. Shamburek; George W. Vetrovec; G. Russell Warnick; Alan T. Remaley

BACKGROUND Methods from 7 manufacturers and 1 distributor for directly measuring HDL cholesterol (C) and LDL-C were evaluated for imprecision, trueness, total error, and specificity in nonfrozen serum samples. METHODS We performed each direct method according to the manufacturers instructions, using a Roche/Hitachi 917 analyzer, and compared the results with those obtained with reference measurement procedures for HDL-C and LDL-C. Imprecision was estimated for 35 runs performed with frozen pooled serum specimens and triplicate measurements on each individual sample. Sera from 37 individuals without disease and 138 with disease (primarily dyslipidemic and cardiovascular) were measured by each method. Trueness and total error were evaluated from the difference between the direct methods and reference measurement procedures. Specificity was evaluated from the dispersion in differences observed. RESULTS Imprecision data based on 4 frozen serum pools showed total CVs <3.7% for HDL-C and <4.4% for LDL-C. Bias for the nondiseased group ranged from -5.4% to 4.8% for HDL-C and from -6.8% to 1.1% for LDL-C, and for the diseased group from -8.6% to 8.8% for HDL-C and from -11.8% to 4.1% for LDL-C. Total error for the nondiseased group ranged from -13.4% to 13.6% for HDL-C and from -13.3% to 13.5% for LDL-C, and for the diseased group from -19.8% to 36.3% for HDL-C and from -26.6% to 31.9% for LDL-C. CONCLUSIONS Six of 8 HDL-C and 5 of 8 LDL-C direct methods met the National Cholesterol Education Program total error goals for nondiseased individuals. All the methods failed to meet these goals for diseased individuals, however, because of lack of specificity toward abnormal lipoproteins.


Clinical Chemistry | 2011

Non–HDL Cholesterol Shows Improved Accuracy for Cardiovascular Risk Score Classification Compared to Direct or Calculated LDL Cholesterol in a Dyslipidemic Population

Hendrick E. van Deventer; W. Greg Miller; Gary L. Myers; Ikunosuke Sakurabayashi; Lorin M. Bachmann; Samuel P. Caudill; Andrzej Dziekonski; Selvin Edwards; Mary M. Kimberly; William J. Korzun; Elizabeth T. Leary; Katsuyuki Nakajima; Masakazu Nakamura; Robert D. Shamburek; George W. Vetrovec; G. Russell Warnick; Alan T. Remaley

BACKGROUND Our objective was to evaluate the accuracy of cardiovascular disease (CVD) risk score classification by direct LDL cholesterol (dLDL-C), calculated LDL cholesterol (cLDL-C), and non-HDL cholesterol (non-HDL-C) compared to classification by reference measurement procedures (RMPs) performed at the CDC. METHODS We examined 175 individuals, including 138 with CVD or conditions that may affect LDL-C measurement. dLDL-C measurements were performed using Denka, Kyowa, Sekisui, Serotec, Sysmex, UMA, and Wako reagents. cLDL-C was calculated by the Friedewald equation, using each manufacturers direct HDL-C assay measurements, and total cholesterol and triglyceride measurements by Roche and Siemens (Advia) assays, respectively. RESULTS For participants with triglycerides<2.26 mmol/L (<200 mg/dL), the overall misclassification rate for the CVD risk score ranged from 5% to 17% for cLDL-C methods and 8% to 26% for dLDL-C methods when compared to the RMP. Only Wako dLDL-C had fewer misclassifications than its corresponding cLDL-C method (8% vs 17%; P<0.05). Non-HDL-C assays misclassified fewer patients than dLDL-C for 4 of 8 methods (P<0.05). For participants with triglycerides≥2.26 mmol/L (≥200 mg/dL) and<4.52 mmol/L (<400 mg/dL), dLDL-C methods, in general, performed better than cLDL-C methods, and non-HDL-C methods showed better correspondence to the RMP for CVD risk score than either dLDL-C or cLDL-C methods. CONCLUSIONS Except for hypertriglyceridemic individuals, 7 of 8 dLDL-C methods failed to show improved CVD risk score classification over the corresponding cLDL-C methods. Non-HDL-C showed overall the best concordance with the RMP for CVD risk score classification of both normal and hypertriglyceridemic individuals.


Labmedicine | 2008

Standardization of Measurements for Cholesterol, Triglycerides, and Major Lipoproteins

G. Russell Warnick; Mary M. Kimberly; Parvin P. Waymack; Elizabeth T. Leary; Gary L. Myers

This review evaluates the status of standardization of lipids and lipoproteins. Prerequisites and some basic principles for standardization are provided. The reference systems for cholesterol, HDL cholesterol (HDL-C), LDL cholesterol (LDL-C), triglycerides (TG), apolipoprotein A-I (apoA-I), apolipoprotein B (apoB), and lipoprotein(a) (Lp[a]) are described. Brief descriptions of the standardization programs available for each of these analytes are also provided. Finally, the review addresses some of the challenges in standardizing these markers of cardiovascular disease (CVD). The standardization programs described have contributed to improvements in laboratory measurements of lipids and lipoproteins. Our intention is that clinical laboratory professionals and manufacturers of in vitro diagnostics will use these resources to standardize lipid and lipoprotein measurements. Manufacturers must take the initiative to thoroughly evaluate their products and ensure traceability to the reference systems.


Clinical Chemistry | 1998

Evaluation of an immunoseparation method for quantitative measurement of remnant-like particle-cholesterol in serum and plasma

Elizabeth T. Leary; Tao Wang; Daniel J. Baker; Donald D. Cilla; Jianhua Zhong; G. Russell Warnick; Katsuyuki Nakajima; Richard J. Havel


Clinical Chemistry | 1999

Selection, Validation, Standardization, and Performance of a Designated Comparison Method for HDL-Cholesterol for Use in the Cholesterol Reference Method Laboratory Network

Mary M. Kimberly; Elizabeth T. Leary; Thomas G. Cole; Parvin P. Waymack


Clinical Chemistry | 1999

Ratio of remnant-like particle-cholesterol to serum total triglycerides is an effective alternative to ultracentrifugal and electrophoretic methods in the diagnosis of familial type III hyperlipoproteinemia.

Tao Wang; Katsuyuki Nakajima; Elizabeth T. Leary; G. Russ Warnick; Jeffrey S. Cohn; Paul N. Hopkins; Lily L. Wu; Donald D. Cilla; Jianhua Zhong; Richard J. Havel


Journal of Lipid Research | 2000

Remnant-like particle cholesterol and triglyceride levels of hypertriglyceridemic patients in the fed and fasted state.

Caroline Marcoux; Paul N. Hopkins; Tao Wang; Elizabeth T. Leary; Katsuyuki Nakajima; Jean Davignon; Jeffrey S. Cohn


Clinical Chemistry | 1997

Point Status of lipid and lipoprotein standardization

Judith R. McNamara; Elizabeth T. Leary; Ferruccio Ceriotti; Christa M. Boersma-Cobbaert; Thomas G. Cole; David J. Hassemer; Masakazu Nakamura; Christopher J. Packard; David W. Seccombe; Mary M. Kimberly; Gary L. Myers; Gerald R. Cooper


Clinical Chemistry | 2000

Falsely Low Direct HDL-Cholesterol Results in a Patient with Dysbetalipoproteinemia

William L. Roberts; Elizabeth T. Leary; Thomas L. Lambert; Linda Moulton; Janice L. Goestch


Preventive Medicine | 1996

Multicenter Evaluation of a Patient-Administered Test for Blood Cholesterol Measurement

Judith R. McNamara; G. Russell Warnick; Elizabeth T. Leary; Ellison H. Wittels; Forrest E. Nelson; Mary F. Pearl; Ernst J. Schaefer

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Mary M. Kimberly

Centers for Disease Control and Prevention

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Gary L. Myers

Centers for Disease Control and Prevention

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Masakazu Nakamura

United States Department of Agriculture

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Alan T. Remaley

National Institutes of Health

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Andrzej Dziekonski

Virginia Commonwealth University

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George W. Vetrovec

Virginia Commonwealth University

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Lorin M. Bachmann

Virginia Commonwealth University

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Robert D. Shamburek

National Institutes of Health

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