Dataset Information
A modified algorithm with lipoprotein(a) added for diagnosis of familial hypercholesterolemia.
Ontology highlight
ABSTRACT: Background
Previous studies have observed that high level of lipoprotein (a) [Lp(a)] was common in the phenotypic familial hypercholesterolemia (FH) and may explain part of the clinical diagnosis of FH.Hypothesis
We aim to develop a modified model including Lp(a) and compare its diagnostic performance with Dutch Lipid Clinic Network (DLCN) criteria.Methods
Data of 10?449 individuals were utilized for the model establishment (7806 for derivation and 2643 for validation) from January 2011 to March 2018. The novel score model was modified on the basis of DLCN. Furthermore, 718 patients were screened for LDLR, APOB, and PCSK9 gene mutations.Results
The novel modified model consisted of untreated low-density lipoprotein cholesterol (LDL-C) level, Lp(a), personal premature coronary heart disease (CHD), tendon xanthomas and family history of CHD and/or hypercholesterolemia. It has shown high discrimination (area under curve [AUC] 0.991, 95% confidence interval [CI[ 0.988-0.994, P?ConclusionsThe novel modified model, including Lp(a), could provide new insights into FH diagnosis in Chinese population with more concerns on the patients with high level of Lp(a).
SUBMITTER: Sun D
PROVIDER: S-EPMC6788465 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
A modified algorithm with lipoprotein(a) added for diagnosis of familial hypercholesterolemia.
Clinical cardiology 20190822 10
<h4>Background</h4>Previous studies have observed that high level of lipoprotein (a) [Lp(a)] was common in the phenotypic familial hypercholesterolemia (FH) and may explain part of the clinical diagnosis of FH.<h4>Hypothesis</h4>We aim to develop a modified model including Lp(a) and compare its diagnostic performance with Dutch Lipid Clinic Network (DLCN) criteria.<h4>Methods</h4>Data of 10 449 individuals were utilized for the model establishment (7806 for derivation and 2643 for validation) fr ...[more]