BACKGROUND: New age- and sex-specific lipoprotein cut points developed from National Health and Nutrition Examination Survey (NHANES) data are considered to be a more accurate classification of a high-risk lipoprotein level in adolescents compared with existing cut points established by the National Cholesterol Education Program (NCEP). The aim of this study was to determine which of the NHANES or NCEP adolescent lipoprotein classifications was most effective for predicting abnormal levels in adulthood. METHODS AND RESULTS: Adolescent and adult measures of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides were collected in 365 Australian, 1185 Finnish, and 273 US subjects participating in 3 population-based prospective cohort studies. Lipoprotein variables in adolescence were classified according to NCEP and NHANES cut points and compared for their ability to predict abnormal levels in adulthood. With the use of diagnostic performance statistics (sensitivity, specificity, positive predictive value, negative predictive value, area under receiver operating characteristic curve) in pooled and cohort-stratified data, the NHANES cut points (compared with NCEP cut points) were more strongly predictive of low high-density lipoprotein cholesterol in adults but less predictive of high total cholesterol, high low-density lipoprotein cholesterol, and high triglyceride levels in adults. We identified heterogeneity in the relative usefulness of each classification between cohorts. CONCLUSIONS: The separate use of NHANES cut points for high-density lipoprotein cholesterol and NCEP cut points for total cholesterol, low-density lipoprotein cholesterol, and triglycerides yielded the most accurate classification of adolescents who developed dyslipidemia in adulthood.
BACKGROUND: New age- and sex-specific lipoprotein cut points developed from National Health and Nutrition Examination Survey (NHANES) data are considered to be a more accurate classification of a high-risk lipoprotein level in adolescents compared with existing cut points established by the National Cholesterol Education Program (NCEP). The aim of this study was to determine which of the NHANES or NCEP adolescent lipoprotein classifications was most effective for predicting abnormal levels in adulthood. METHODS AND RESULTS: Adolescent and adult measures of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides were collected in 365 Australian, 1185 Finnish, and 273 US subjects participating in 3 population-based prospective cohort studies. Lipoprotein variables in adolescence were classified according to NCEP and NHANES cut points and compared for their ability to predict abnormal levels in adulthood. With the use of diagnostic performance statistics (sensitivity, specificity, positive predictive value, negative predictive value, area under receiver operating characteristic curve) in pooled and cohort-stratified data, the NHANES cut points (compared with NCEP cut points) were more strongly predictive of low high-density lipoprotein cholesterol in adults but less predictive of high total cholesterol, high low-density lipoprotein cholesterol, and high triglyceride levels in adults. We identified heterogeneity in the relative usefulness of each classification between cohorts. CONCLUSIONS: The separate use of NHANES cut points for high-density lipoprotein cholesterol and NCEP cut points for total cholesterol, low-density lipoprotein cholesterol, and triglycerides yielded the most accurate classification of adolescents who developed dyslipidemia in adulthood.
Authors: Costan G Magnussen; Juha Koskinen; Wei Chen; Russell Thomson; Michael D Schmidt; Sathanur R Srinivasan; Mika Kivimäki; Noora Mattsson; Mika Kähönen; Tomi Laitinen; Leena Taittonen; Tapani Rönnemaa; Jorma S A Viikari; Gerald S Berenson; Markus Juonala; Olli T Raitakari Journal: Circulation Date: 2010-10-04 Impact factor: 29.690
Authors: Terence Dwyer; Cong Sun; Costan G Magnussen; Olli T Raitakari; Nicholas J Schork; Alison Venn; Trudy L Burns; Markus Juonala; Julia Steinberger; Alan R Sinaiko; Ronald J Prineas; Patricia H Davis; Jessica G Woo; John A Morrison; Stephen R Daniels; Wei Chen; Sathanur R Srinivasan; Jorma Sa Viikari; Gerald S Berenson Journal: Int J Epidemiol Date: 2012-03-20 Impact factor: 7.196
Authors: Russell Jago; Kimberly L Drews; James D Otvos; Gary D Foster; Marsha D Marcus; John B Buse; Michele Mietus-Snyder; Steven M Willi Journal: J Pediatr Date: 2014-02-05 Impact factor: 4.406