Prevalence of insulin resistance and prediction of glucose intolerance and type 2 diabetes mellitus in women with polycystic ovary syndrome
Jazyk angličtina Země Německo Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
17484627
DOI
10.1515/cclm.2007.113
Knihovny.cz E-zdroje
- MeSH
- diabetes mellitus 2. typu diagnóza epidemiologie etiologie MeSH
- dospělí MeSH
- glukózový toleranční test MeSH
- inzulinová rezistence * MeSH
- lidé MeSH
- plošný screening metody normy MeSH
- porucha glukózové tolerance diagnóza MeSH
- prediktivní hodnota testů MeSH
- prevalence MeSH
- senzitivita a specificita MeSH
- studie případů a kontrol MeSH
- syndrom polycystických ovarií komplikace epidemiologie MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
BACKGROUND: Diabetes mellitus type 2 (DM2) affects 10% of women with polycystic ovary syndrome (PCOS). We evaluated the sensitivity and specificity of clinical and fasting biochemical parameters in screening for impaired glucose tolerance (IGT) and DM2. METHODS: Women with PCOS [n=244, age 27.4+/-7.5 years, body mass index (BMI) 27.5+/-6.9 kg/m(2)] and healthy women (n=57, age 26.8+/-5.8 years, BMI 21.3+/-2.1 kg/m(2)) underwent basal blood sampling and an oral glucose tolerance test (oGTT). RESULTS: Insulin resistance was identified in 40.2% of PCOS women. Impaired fasting glucose (5.6-6.9 mmol/L) was found in 30 subjects (12.3%), but the oGTT revealed IGT in only six of these cases and DM2 in one subject. IGT was found in 23 (9.4%) and DM2 in four (1.6%) of the women with PCOS. The conventional upper limits for total cholesterol, triglycerides, systolic and diastolic blood pressure and fasting glucose revealed low sensitivity for the identification of impaired glucose metabolism. CONCLUSIONS: No single parameter nor any combination of them showed an accuracy sufficient for screening of IGT or DM2 in PCOS patients. All PCOS patients should be screened using an oGTT to identify disturbances in glucose metabolism.
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