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Regional interlaboratory standardization of determinations of cholesterol, high-density lipoprotein cholesterol, and triglycerides

  • Greaory A. Tetrault
  • , W. Greg Miller
  • , Vernon M. Chinchilli
  • , Betty Brown
  • , Tim Balby
  • , Pat Rooney
  • , Susan Bennett
  • , Verna Seckman
  • , Margaret Dickens
  • , Jacquelyn Johnson
  • , Dara Ligon
  • , Betty Hull
  • , Richard Carpenter
  • , William Steinmetz
  • , Laurie Mason
  • , Ken Freude
  • , Carol St. Charles
  • , Barbara Huffington
  • , Anna Mae Rosendale
  • , Lucinda Pittman
  • Steven Smith, Roy Bennington, Randy Robinson, Evans Thompson, Cynthia Moon, George N. Bowers, Mary Onerowski, Gary L. Myers

Research output: Contribution to journalArticlepeer-review

Abstract

The Clinical Chemistry Forum of Central Virginia initiated a lipid standardization program to help ensure that its members meet the current National Cholesterol Education Program guidelines for cholesterol testing, and to standardize assays of high-density lipoprotein (HDL) cholesterol and triglycerides so as to provide accurate lipid profiles. We found that freshly collected, never-frozen human sera must be used to assess interlaboratory accuracy for cholesterol, HDL cholesterol, and triglycerides assays, and that at least 23 samples are required to detect a 3% bias with 90% power when the between-laboratory imprecision (CV) is 3%. After recalibration, all 12 laboratories had a mean cholesterol bias ≤5%, nine of 10 laboratories had a mean HDL cholesterol bias ≤40 mg/L for samples with values ≤570 mg/L, and 10 of 12 laboratories had a mean triglycerides bias ≤10% for fresh human sera split between participants and the Centers for Disease Control. Pools of frozen human serum were shown to have matrix biases >3% for cholesterol in seven of 11 laboratories, and >40 mg/L for HDL cholesterol in six of nine laboratories.

Original languageEnglish (US)
Pages (from-to)145-149
Number of pages5
JournalClinical chemistry
Volume36
Issue number1
StatePublished - 1990

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Medicine

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