Comparison and Validation of 10 Equations Including a Novel Method for Estimation of LDL-cholesterol in a 168, 212 Asian Population. Issue 14 (April 2016)
- Record Type:
- Journal Article
- Title:
- Comparison and Validation of 10 Equations Including a Novel Method for Estimation of LDL-cholesterol in a 168, 212 Asian Population. Issue 14 (April 2016)
- Main Title:
- Comparison and Validation of 10 Equations Including a Novel Method for Estimation of LDL-cholesterol in a 168, 212 Asian Population
- Authors:
- Rim, John Hoon
Lee, Yong-ho
Lee, Myung Ha
Kim, Ha Yan
Choi, Jiin
Lee, Byung-Wan
Kang, Eun Seok
Lee, Hyun Chul
Kim, Jeong-Ho
Lee, Sang-Guk
Cha, Bong-Soo - Editors:
- Azmoudeh-Ardalan., Farid
- Abstract:
- Abstract : Supplemental Digital Content is available in the text Abstract : Abstract: Low-density lipoprotein cholesterol (LDL-C) is frequently estimated using the empirical Friedewald equation. We compared the accuracy of the novel equation named as the 180-cell method (180-c), which estimates LDL-C using a stratification approach, to those of 9 previously suggested formulas, including the Friedewald equation. We compared the accuracy of 10 equations by calculating intraclass correlation coefficient (ICC) and weighted kappa index in relation to direct LDL-C measurement values. Two independent populations used in the validation were the Severance Hospital LDL-C (SHL) registry (n = 164, 358) and the Korea National Health and Nutrition Examination Survey (KNHANES) 2009 to 2010 (n = 3, 854), each representing the hospital patient population and the general Korean population, respectively. The 180-c and DeLong equations showed the highest ICCs, indicating the best agreement with direct LDL-C measurement. The 180-c and Chen equations showed the highest kappa indices. For the hypertriglyceridemic subpopulation from SHL, the 180-c equation showed the best agreement with direct LDL-C measurement in terms of ICC. We compared the novel 180-c method for LDL-C estimation with 9 previous formulas in a non-US population as the first external validation. The 180-c equation, with Chen equation, appeared to be more accurate than the Friedewald equation. Although the DeLong equation showedAbstract : Supplemental Digital Content is available in the text Abstract : Abstract: Low-density lipoprotein cholesterol (LDL-C) is frequently estimated using the empirical Friedewald equation. We compared the accuracy of the novel equation named as the 180-cell method (180-c), which estimates LDL-C using a stratification approach, to those of 9 previously suggested formulas, including the Friedewald equation. We compared the accuracy of 10 equations by calculating intraclass correlation coefficient (ICC) and weighted kappa index in relation to direct LDL-C measurement values. Two independent populations used in the validation were the Severance Hospital LDL-C (SHL) registry (n = 164, 358) and the Korea National Health and Nutrition Examination Survey (KNHANES) 2009 to 2010 (n = 3, 854), each representing the hospital patient population and the general Korean population, respectively. The 180-c and DeLong equations showed the highest ICCs, indicating the best agreement with direct LDL-C measurement. The 180-c and Chen equations showed the highest kappa indices. For the hypertriglyceridemic subpopulation from SHL, the 180-c equation showed the best agreement with direct LDL-C measurement in terms of ICC. We compared the novel 180-c method for LDL-C estimation with 9 previous formulas in a non-US population as the first external validation. The 180-c equation, with Chen equation, appeared to be more accurate than the Friedewald equation. Although the DeLong equation showed better performance in the hypertriglyceridemic subpopulation, the 180-c equation performed appropriately in Asian population. … (more)
- Is Part Of:
- Medicine. Volume 95:Issue 14(2016)
- Journal:
- Medicine
- Issue:
- Volume 95:Issue 14(2016)
- Issue Display:
- Volume 95, Issue 14 (2016)
- Year:
- 2016
- Volume:
- 95
- Issue:
- 14
- Issue Sort Value:
- 2016-0095-0014-0000
- Page Start:
- e3230
- Page End:
- Publication Date:
- 2016-04
- Subjects:
- Medicine -- Periodicals
Medicine -- Periodicals
Médecine -- Périodiques
Geneeskunde
Medicine
Periodicals
Periodicals
610.5 - Journal URLs:
- http://journals.lww.com/md-journal/pages/default.aspx ↗
http://gateway.ovid.com/ovidweb.cgi?T=JS&PAGE=toc&D=ovft&MODE=ovid&NEWS=N&AN=00002060-000000000-00000 ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/MD.0000000000003230 ↗
- Languages:
- English
- ISSNs:
- 0025-7974
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5534.000000
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British Library STI - ELD Digital store - Ingest File:
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