Literature DB >> 3348758

Mortality and cholesterol metabolism in familial hypercholesterolemia. Long-term follow-up of 96 patients.

T A Miettinen1, H Gylling.   

Abstract

The aim of this prospective study was to explore the association of different prognostic factors including parameters of cholesterol metabolism with coronary morbidity and mortality in a study group of 96 patients who were heterozygous for familial hypercholesterolemia. During a 15-year follow-up period, 27% of the patients (44% of the men and 10% of the women, p less than 0.01) died from coronary disease, and an additional 4% died of noncoronary causes. Of the baseline characteristics, male gender, previous myocardial infarction, and smoking were the classical risk factors significantly associated with poor cardiac prognosis. In addition, a low bile acid synthesis predicted enhanced coronary mortality both in univariate and multivariate analysis, and in men bile acid synthesis was significantly correlated with cardiac mortality. Further analysis indicated that also in subjects without baseline myocardial infarction, low bile acid, cholesterol synthesis, or both predicted increased risk of coronary events. In multivariate analysis, male gender, previous myocardial infarction, and low bile acid synthesis at baseline explained 5%, 15%, and 5% (25%), respectively, of the variability of survival. Age, serum total cholesterol, and triglyceride values were unrelated to survival.

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Mesh:

Year:  1988        PMID: 3348758     DOI: 10.1161/01.atv.8.2.163

Source DB:  PubMed          Journal:  Arteriosclerosis        ISSN: 0276-5047


  7 in total

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Review 2.  Borderline hypercholesterolaemia: when to introduce drugs.

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Review 5.  Benefits and risks of simvastatin in patients with familial hypercholesterolaemia.

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Journal:  Drug Saf       Date:  2003       Impact factor: 5.606

6.  LDL-C: lower is better for longer-even at low risk.

Authors:  Peter E Penson; Matteo Pirro; Maciej Banach
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7.  The genetic basis of familial hypercholesterolemia: inheritance, linkage, and mutations.

Authors:  Isabel De Castro-Orós; Miguel Pocoví; Fernando Civeira
Journal:  Appl Clin Genet       Date:  2010-08-05
  7 in total

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