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Importance of lipid accumulation product index as a marker of CVD risk in PCOS women

Overview of attention for article published in Lipids in Health and Disease, June 2015
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Title
Importance of lipid accumulation product index as a marker of CVD risk in PCOS women
Published in
Lipids in Health and Disease, June 2015
DOI 10.1186/s12944-015-0061-y
Pubmed ID
Authors

Joelma Ximenes Prado Teixeira Nascimento, Maria Bethânia da Costa Chein, Rosângela Maria Lopes de Sousa, Alexsandro dos Santos Ferreira, Paula Andrea Navarro, Luciane Maria Oliveira Brito

Abstract

The polycystic ovary syndrome (PCOS) is considered the most common endocrine disease during the woman's reproductive life, with prevalence ranging from 5 to 10% of women of reproductive age. There is a paucity of studies regarding the use of the lipid accumulation product (LAP) as a risk marker for the development of cardiovascular disease (CVD). A cross-sectional study was conducted on 78 women aged 18 to 42 years seen at University Hospital of Maranhão, with a diagnosis of polycystic ovary syndrome according to the Rotterdam criteria. The following variables of interest were recorded on a protocol form: sociodemographic and behavioral data, body mass index, waist circumference, fasting glucose, total cholesterol, triglycerides, low density lipoprotein cholesterol, high-density lipoprotein cholesterol, and systolic and diastolic blood pressure. Logistic regression showed that, except for HDL, all cardiovascular risk markers presented a higher chance of being altered when the lipid accumulation product was above the cut off value of 37.9 cm.mmol/L. The lipid accumulation product seems to be sufficient to indicate a risk of cardiovascular diseases in women with polycystic ovary syndrome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 16%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 7 10%
Student > Master 7 10%
Student > Postgraduate 5 7%
Other 17 25%
Unknown 15 22%
Readers by discipline Count As %
Medicine and Dentistry 22 32%
Nursing and Health Professions 10 14%
Biochemistry, Genetics and Molecular Biology 6 9%
Unspecified 4 6%
Agricultural and Biological Sciences 3 4%
Other 5 7%
Unknown 19 28%