Lipoprotein(a) as a predictor of poor collateral circulation in patients with chronic stable coronary heart disease
Braz. j. med. biol. res
;
50(8): e5979, 2017. tab, graf
Artigo
em Inglês
| LILACS
| ID: biblio-888982
ABSTRACT
As a mechanism compensating for obstructive coronary artery disease, coronary collateral circulation (CCC) has attracted cardiologists for a long time to explore its potential impact. In the present study, Chinese patients suffering from ≥95% coronary stenosis, as diagnosed by angiography, have been investigated for the correlation between CCC and lipoprotein(a) [Lp(a)] levels. A cohort of 654 patients was divided into four categories according to Rentrop grades 0, 1, 2, and 3. Lp(a) levels were divided into model 1, discretized with critical values of 33 and 66%, and model 2, discretized with a cutoff value of 30.0 mg/dL. Furthermore, we evaluated the correlation between CCC and serum Lp(a) levels. The four groups had significantly different Lp(a) levels (25.80±24.72, 18.99±17.83, 15.39±15.80, and 8.40±7.75 mg/dL; P<0.001). In model 1, concerning R0, the risk in the third Lp (a) tertile (OR=3.34, 95%CI=2.32-4.83) was greater than that in the first tertile. In model 2, concerning R0, the risk in Lp(a) >30.0 group (OR=6.77, 95%CI=4.44-10.4) was greater than that of Lp(a) <30.0 mg/dL. The worst condition of CCC can be predicted independently by Lp(a) levels. In addition to clinical usage, Lp(a) levels can also be utilized as biological markers.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Doença da Artéria Coronariana
/
Lipoproteína(a)
/
Circulação Colateral
/
Circulação Coronária
/
Oclusão Coronária
Tipo de estudo:
Estudo de etiologia
/
Estudo de incidência
/
Estudo observacional
/
Estudo prognóstico
/
Fatores de risco
Limite:
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Braz. j. med. biol. res
Assunto da revista:
Biologia
/
Medicina
Ano de publicação:
2017
Tipo de documento:
Artigo
País de afiliação:
China
Instituição/País de afiliação:
Wuhan University/CN
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