How To Identify Familial Premature Myocardial Infarction: Comparing Approaches To Identify Familial Hypercholesterolemia

Sabina Beheshti; Christian M Madsen; Anette Varbo; Børge G Nordestgaard

doi:10.1210/jc.2018-02261

How To Identify Familial Premature Myocardial Infarction: Comparing Approaches To Identify Familial Hypercholesterolemia

Sabina Beheshti, Christian M Madsen, Anette Varbo, Børge G Nordestgaard

Institut for Klinisk Medicin

1 Citationer (Scopus)

Abstract

How best to identify families with premature myocardial infarction is unclear. Objective: We compared approaches to identify familial premature myocardial infarction in the general population using different familial hypercholesterolemia (FH) criteria and low-density lipoprotein (LDL) cholesterol cut-points. Design and Setting: Clinical and mutation criteria for FH and LDL cholesterol cut-points were applied for identification of familial premature myocardial infarction in 106,732 individuals from the Copenhagen General Population Study.

Originalsprog	Engelsk
Tidsskrift	The Journal of clinical endocrinology and metabolism
Vol/bind	104
Udgave nummer	7
Sider (fra-til)	2657-2667
ISSN	0021-972X
DOI	https://doi.org/10.1210/jc.2018-02261
Status	Udgivet - 21 mar. 2019

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10.1210/jc.2018-02261

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How To Identify Familial Premature Myocardial Infarction : Comparing Approaches To Identify Familial Hypercholesterolemia. / Beheshti, Sabina; Madsen, Christian M; Varbo, Anette et al.

I: The Journal of clinical endocrinology and metabolism, Bind 104, Nr. 7, 21.03.2019, s. 2657-2667.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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abstract = "How best to identify families with premature myocardial infarction is unclear. Objective: We compared approaches to identify familial premature myocardial infarction in the general population using different familial hypercholesterolemia (FH) criteria and low-density lipoprotein (LDL) cholesterol cut-points. Design and Setting: Clinical and mutation criteria for FH and LDL cholesterol cut-points were applied for identification of familial premature myocardial infarction in 106,732 individuals from the Copenhagen General Population Study.",

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How To Identify Familial Premature Myocardial Infarction: Comparing Approaches To Identify Familial Hypercholesterolemia

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