Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

Jovanovska-Mishevska, Sasha; Atanasova-Boshku, Aleksandra; Bitoska, Iskra; Ahmeti, Irfan; Todorova, Biljana; Pemovska, Gordana; Milenkovic, Tatjana; Krstevska, Brankica

doi:10.3889/oamjms.2016.107

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…McAuley index, and particularly for QUICKI. There are also data that correlation between HOMA-IR and insulin concentrations during OGTT in women with PCOS is relatively modest (for instance r = 0.42, and r = 0.52, at 60 and 120 min of OGTT respectively) ( 16 ). Furthermore, it is known that IR indices derived from fasting glucose and insulin predominantly reflect hepatic rather than peripheral insulin sensitivity that is more reflected by indices that are based on glucose and insulin during OGTT ( 17 , 18 ).…”

Section: Discussionmentioning

confidence: 99%

Limitations of insulin resistance assessment in polycystic ovary syndrome

Lewandowski

Płusajska

Horzelski

et al. 2018

Endocrine Connections

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BackgroundThough insulin resistance (IR) is common in polycystic ovary syndrome (PCOS), there is no agreement as to what surrogate method of assessment of IR is most reliable.Subjects and methodsIn 478 women with PCOS, we compared methods based on fasting insulin and either fasting glucose (HOMA-IR and QUICKI) or triglycerides (McAuley Index) with IR indices derived from glucose and insulin during OGTT (Belfiore, Matsuda and Stumvoll indices).ResultsThere was a strong correlation between IR indices derived from fasting values HOMA-IR/QUICKI, r = −0.999, HOMA-IR/McAuley index, r = −0.849 and between all OGTT-derived IR indices (e.g. r = −0.876, for IRI/Matsuda, r = −0.808, for IRI/Stumvoll, and r = 0.947, for Matsuda/Stumvoll index, P < 0.001 for all), contrasting with a significant (P < 0.001), but highly variable correlation between IR indices derived from fasting vs OGTT-derived variables, ranging from r = −0.881 (HOMA-IR/Matsuda), through r = 0.58, or r = −0.58 (IRI/HOMA-IR, IRI/QUICKI, respectively) to r = 0.41 (QUICKI/Stumvoll), and r = 0.386 for QUICKI/Matsuda indices. Detailed comparison between HOMA-IR and IRI revealed that concordance between HOMA and IRI was poor for HOMA-IR/IRI values above 75th and 90th percentile. For instance, only 53% (70/132) women with HOMA-IR >75th percentile had IRI value also above 75th percentile. There was a significant, but weak correlation of all IR indices with testosterone concentrations.ConclusionsSignificant number of women with PCOS can be classified as being either insulin sensitive or insulin resistant depending on the method applied, as correlation between various IR indices is highly variable. Clinical application of surrogate indices for assessment of IR in PCOS must be therefore viewed with an extreme caution.

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Section: Discussionmentioning

confidence: 99%

Limitations of insulin resistance assessment in polycystic ovary syndrome

Lewandowski

Płusajska

Horzelski

et al. 2018

Endocrine Connections

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Effect of fennel essential oil and flaxseed oil on blood parameters, insulin resistance, and histological structure of ovaries in rats suffered polycystic ovary syndrome

et al. 2021

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Ultrasonographic and biochemical assessments as early prediction of polycystic ovarian syndrome in obese women

et al. 2020

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Backgroud: Polycystic ovary syndrome (PCOS) is considered as a common cause of hormonal disturbance and obesity. The diagnosis of PCOS was done by different methods including clinical signs as anovulation, hyperandrogenism, biochem- ical markers and ultrasounographic investigation. This study investigated comparative outcomes of ultrasonographic and biochemical markers for early prediction of PCOS in obese women. Subjects and methods: Seventy-five patients were clinically diagnosed with obese, PCOS and obese with PCOS and twen- ty-five normal age matched subjects were enrolled as control. Abdominal and transvaginal ultrasonographic for assessment of ovarian properties. In addition, BMI, serum free testosterone, dehydroepiandrosterone (DHEA), insulin, glycosylated hemoglobin (HbA1c) and LDL-c levels were evaluated. Results: In obese patients with PCOs (20%) ovaries revealed normal appearance in morphology while the rest (80%) showed PCOs in the form of cysts of 2–8 mm in diameter peripherally arranged around stroma. A significant elevation of free testosterone, DHEA and insulin in obese with or without PCOS compared with obese group (p<0.001). A positive correlation with hormonal abnormalities of increased HA1c, LDL-c, free testosterone, DHEA and insulin compared with obese only. Conclusion: According to our study findings, ovarian morphology combined with biochemical markers is more reliable for early prediction and diagnosis of PCOS for interpretation and management. Keywords: PCOS; ultrasound; diagnosis; hormones.

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Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

Cited by 3 publications

References 28 publications

Limitations of insulin resistance assessment in polycystic ovary syndrome

Limitations of insulin resistance assessment in polycystic ovary syndrome

Effect of fennel essential oil and flaxseed oil on blood parameters, insulin resistance, and histological structure of ovaries in rats suffered polycystic ovary syndrome

Ultrasonographic and biochemical assessments as early prediction of polycystic ovarian syndrome in obese women

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