{"title":"Evaluation of an automated procedure for primary screening of hyperlipoproteinemias.","authors":"A Lopez-S, L Bell, J Hebert","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>An automated procedure for the determination of beta-plus-pre-beta-lipoprotein cholesterol is described and evaluated for mass screening of hyperlipoproteinemias. It is shown that this method fulfills the requirements for an ideal method for primary screening: it can be used in non-fasting samples, is capable of detecting hyperlipoproteinemias characterized by both cholesterol and/or triglyceride abnormalities, is fast, accurate and extremely inexpensive. Evidence is shown that the method is extremely useful for primary screening and, when tested in a coronary screening detection program, gave only 4% false positive and 3.4% false negative results.</p>","PeriodicalId":76139,"journal":{"name":"Medical research engineering","volume":"12 1","pages":"15-7"},"PeriodicalIF":0.0000,"publicationDate":"1976-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medical research engineering","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An automated procedure for the determination of beta-plus-pre-beta-lipoprotein cholesterol is described and evaluated for mass screening of hyperlipoproteinemias. It is shown that this method fulfills the requirements for an ideal method for primary screening: it can be used in non-fasting samples, is capable of detecting hyperlipoproteinemias characterized by both cholesterol and/or triglyceride abnormalities, is fast, accurate and extremely inexpensive. Evidence is shown that the method is extremely useful for primary screening and, when tested in a coronary screening detection program, gave only 4% false positive and 3.4% false negative results.
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