Abstract
The National Cholesterol Education Program (NCEP) for high blood cholesterol case-finding and treatment recommended discrete treatments according to the results of sequential measurements of continuous variables (total and low-density lipoprotein cholesterol [LDL-C]). These measurements are subject to intra- and interindividual variability. The authors describe a computer simulation of the NCEP that acknowledges these complexities. The simulation reduces the NCEP into steps, which are represented in a decision tree. The calculation of probabilities at chance nodes takes into account the conditional nature of sequential measurements of blood cholesterol. The simulation tracks medical resource use and estimates LDL-C reductions within 20 strata, each defining 5% of population distribution for LDL-C. This approach enables a detailed representation of the case-finding process--the sequence of blood cholesterol tests and associated cut-off values that identify individuals needing more intensive evaluation and treatment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
