{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T11:02:34Z","timestamp":1780398154091,"version":"3.54.1"},"reference-count":42,"publisher":"Walter de Gruyter GmbH","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,25]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec id=\"j_cclm-2021-0747_abs_001\">\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Low-density lipoprotein cholesterol (LDL-C) estimation is critical for risk classification, prevention and\u00a0treatment of atherosclerotic cardiovascular disease (ASCVD). Predictive equations and direct LDL-C are used. We investigated the comparability between the Martin\/Hopkins, Sampson, Friedewald and eight other predictive equations on two analysers, to determine whether the equation or analyser influences predicted LDL-C result.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2021-0747_abs_002\">\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>In two unpaired datasets, 9,995 lipid profiles were analysed by the Abbott Architect and 4,782 by the Roche Cobas analysers. Non-parametric statistics and Bland Altman plots were used to compare LDL-C.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2021-0747_abs_003\">\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>On the Abbott analyser; the Martin\/Hopkins, Sampson and Friedewald LDL-C were comparable (median bias\u00a0\u22641.8%) over a range of 1\u20134.9\u00a0mmol\/L. On the Roche platform, Martin\/Hopkins LDL-C was comparable to Friedewald (median bias 0.3%) but not to Sampson LDL-C (median bias 25%). In patients with LDL-C &lt;1.8\u00a0mmol\/L and triglycerides (TG)\u00a0\u22641.7\u00a0mmol\/L, predicted LDL-C using Abbott reagents was similar between Martin\/Hopkins, Sampson and Friedewald equations but not comparable using Roche reagents. Abbott reagents classified 10\u201320% of patients in the 1.0\u20131.8\u00a0mmol\/L range (Martin\/Hopkins 13.4%; Sampson 14.5%; Friedewald 16%; direct LDL-C 13.2%). Roche reagents classified 11\u201330% in the 1.0\u20131.8\u00a0mmol\/L range (Martin\/Hopkins 23%; Sampson 11%; Friedewald 25%; direct LDL-C 17%).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec id=\"j_cclm-2021-0747_abs_004\">\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Performance of predictive equations is influenced by the choice of analyser for total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and TG. Replacement of the Friedewald equation with Martin\/Hopkins estimation to improve quality of LDL-C results can be safely implemented across analysers, whereas caution is advised regarding the Sampson equation.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1515\/cclm-2021-0747","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T22:07:36Z","timestamp":1628806056000},"page":"1930-1943","source":"Crossref","is-referenced-by-count":28,"title":["Comparability of 11 different equations for estimating LDL cholesterol on different analysers"],"prefix":"10.1515","volume":"59","author":[{"given":"Helgard M.","family":"Rossouw","sequence":"first","affiliation":[{"name":"Department of Chemical Pathology , Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division , Pretoria , South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanna E.","family":"Nagel","sequence":"additional","affiliation":[{"name":"Department of Chemical Pathology , Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division , Pretoria , South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9982-9710","authenticated-orcid":false,"given":"Tahir S.","family":"Pillay","sequence":"additional","affiliation":[{"name":"Department of Chemical Pathology , Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division , Pretoria , South Africa"},{"name":"Division of Chemical Pathology, University of Cape Town , Pretoria , South Africa"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2021,8,12]]},"reference":[{"key":"2023033112143574879_j_cclm-2021-0747_ref_001","doi-asserted-by":"crossref","unstructured":"Nordestgaard, BG, Langlois, MR, Langsted, A, Chapman, MJ, Aakre, KM, Baum, H, et al.. 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