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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

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

BACKGROUND: 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). METHODS: 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. RESULTS: 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. CONCLUSION: The lipid accumulation product seems to be sufficient to indicate a risk of cardiovascular diseases in women with polycystic ovary syndrome. More... »

PAGES

62

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12944-015-0061-y

DOI

http://dx.doi.org/10.1186/s12944-015-0061-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047546466

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26104466


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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12944-015-0061-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12944-015-0061-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12944-015-0061-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12944-015-0061-y'


 

This table displays all metadata directly associated to this object as RDF triples.

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