Literature DB >> 23555353

Intravascular Ultrasound Analysis of Correlation between Plaque-Morphology and Risk Factors in Peripheral Arterial Disease.

Nogiku Niwamae1, Hisao Kumakura, Hiroyoshi Kanai, Yoshihiro Araki, Shu Kasama, Hiroyuki Sumino, Shuiehi Iehikawa, Akira Hasegawa, Masahiko Kurabayashi.   

Abstract

OBJECTIVE: To analyze relationships between plaque-morphology classified by intravascular ultrasound (IVUS) and risk factors in patients with peripheral arterial disease (PAD).
METHODS: We performed IVUS in 203 patients with PAD. Multiple regression and logistic analysis were used to assess relationships between plaque-morphology (degree of calcification, presence of a lipid core, intimal flap and thrombus) and risk factors including diabetes mellitus, hypertension, dyslipidemia, estimated glomerular filtration rate (eGFR), HbA1c and the homeostasis model assessment-insulin resistance ratio (HOMA-IR).
RESULTS: IVUS data led to 22% of lesions being classified as soft, 18% as fibrous, 32% as calcified, and 28% as mixed. Calcification was present in the superficial and deep layers in 65% and 35% of cases, respectively, and a lipid core, intimal flap and thrombus were found in 31%, 5.4% and 3.0%, respectively. The calcified angle correlated with HbA1c and eGFR (p < 0.05). Associations were found between deep calcification and HOMA-IR (odds ratio: 4.4, p < 0.05) and a lipid core and hypercholesterolemia (odds ratio: 3.2, p < 0.05). The odds ratio for intimal flap was 15.6 times with hypercholesterolemia (p < 0.05) and 16.9 times with a high HOMA-IR (p < 0.01).
CONCLUSION: Plaque calcification and morphology are associated with chronic kidney disease, insulin resistance and dyslipidemia in PAD patients.

Entities:  

Keywords:  calcification; chronic kidney disease; intravascular ultrasound; peripheral arterial disease; plaque-morphology

Year:  2009        PMID: 23555353      PMCID: PMC3595744          DOI: 10.3400/avd.AVDoa08032

Source DB:  PubMed          Journal:  Ann Vasc Dis        ISSN: 1881-641X


  18 in total

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1.  Identification of genomic differences among peripheral arterial beds in atherosclerotic and healthy arteries.

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  1 in total

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