Assessment of insulin resistance in lean women with polycystic ovary syndrome.

  • Antonio Lanzone
  • , Andrea Morciano
  • , Francesca Sagnella
  • , Elisa Scarinci
  • , Silvia Della Casa
  • , Caterina Policola
  • , Francesca Moro
  • , Maurizio Guido
  • , Rosanna Apa

Risultato della ricerca: Contributo in rivistaArticolopeer review

19 Citazioni (Scopus)

Abstract

OBJECTIVE: To develop and validate a specific simple measure of insulin sensitivity using oral glucose tolerance test (OGTT) values for lean polycystic ovary syndrome (PCOS) women. DESIGN: Retrospective study. SETTING: Gynecologic Outpatient Clinic of University Hospital, affiliated with Unit of Gynecologic Endocrinology. PATIENT(S): Totals of 201 lean and 198 overweight/obese (ov-ob) nondiabetic PCOS patients were retrospectively selected. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): All patients underwent OGTT, euglycemic-hyperinsulinemic clamp, and androgenic and biochemical assays. The predictive performance of each insulin resistance (IR) index was analyzed with the use of receiver operating characteristic (ROC) curves. RESULT(S): Higher correlation coefficients with clamp studies were obtained with the Belfiore Area (RS=0.579) and the homeostasis-model assessment (HOMA)-M120 (RS=-0.576) in lean PCOS patients and with the Sib (RS=0.697) in ov-ob PCOS patients. The best predictive index of IR in lean PCOS was a HOMA-M120 value of ≥12.8 or more (area under the ROC curve [AUC] 92.4%). In the ov-ob PCOS population, the best predictive performance was obtained by a Sib of ≤10.2 or less (AUC 85.7%). CONCLUSION(S): IR should be assessed in all PCOS women, both lean and ov-ob subjects. The HOMA-M120 resulted as a very simple tool, validated specifically for the lean PCOS woman whose cardiometabolic impairment is more frequently misunderstood.
Lingua originaleInglese
pagine (da-a)250-256
Numero di pagine6
RivistaFertility and Sterility
Volume102
DOI
Stato di pubblicazionePubblicato - 2014

Keywords

  • insulinresistance
  • polycystic ovary syndrome

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