Literature DB >> 23464983

Accurate screening for insulin resistance in PCOS women using fasting insulin concentrations.

Fabian Lunger1, Ludwig Wildt, Beata Seeber.   

Abstract

The aims of this cross-sectional study were to evaluate the relative agreement of both static and dynamic methods of diagnosing IR in women with polycystic ovary syndrome (PCOS) and to suggest a simple screening method for IR. All participants underwent serial blood draws for hormonal profiling and lipid assessment, a 3 h, 75 g load oral glucose tolerance test (OGTT) with every 15 min measurements of glucose and insulin, and an ACTH stimulation test. The prevalence of IR ranged from 12.2% to 60.5%, depending on the IR index used. Based on largest area under the curve on receiver operating curve (ROC) analyses, the dynamic indices outperformed the static indices with glucose to insulin ratio and fasting insulin (fInsulin) demonstrating the best diagnostic properties. Applying two cut-offs representing fInsulin extremes (<7 and >13 mIU/l, respectively) gave the diagnosis in 70% of the patients with high accuracy. Currently utilized indices for assessing IR give highly variable results in women with PCOS. The most accurate indices based on dynamic testing can be time-consuming and labor-intensive. We suggest the use of fInsulin as a simple screening test, which can reduce the number of OGTTs needed to routinely assess insulin resistance in women with PCOS.

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Year:  2013        PMID: 23464983     DOI: 10.3109/09513590.2013.774362

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  13 in total

1.  Definition of insulin resistance using the homeostasis model assessment (HOMA-IR) in IVF patients diagnosed with polycystic ovary syndrome (PCOS) according to the Rotterdam criteria.

Authors:  Miro Šimun Alebić; Tomislav Bulum; Nataša Stojanović; Lea Duvnjak
Journal:  Endocrine       Date:  2014-02-13       Impact factor: 3.633

2.  ADIPONECTIN AS A SERUM MARKER OF ADIPOSE TISSUE DYSFUNCTION IN WOMEN WITH POLYCYSTIC OVARY SYNDROME: CORRELATION WITH INDICATORS OF METABOLIC DISTURBANCES.

Authors:  A Atanasova Boshku; D Ivanova Panova; B Zafirova Ivanovska
Journal:  Acta Endocrinol (Buchar)       Date:  2018 Jul-Sep       Impact factor: 0.877

3.  The characterization of obese polycystic ovary syndrome rat model suitable for exercise intervention.

Authors:  Chuyan Wu; Feng Lin; Shuwei Qiu; Zhongli Jiang
Journal:  PLoS One       Date:  2014-06-06       Impact factor: 3.240

4.  Limitations of insulin resistance assessment in polycystic ovary syndrome.

Authors:  Krzysztof C Lewandowski; Justyna Płusajska; Wojciech Horzelski; Ewa Bieniek; Andrzej Lewiński
Journal:  Endocr Connect       Date:  2018-02-07       Impact factor: 3.335

5.  Insulin resistance and adverse metabolic profile in overweight/obese and normal weight of young women with polycystic ovary syndrome.

Authors:  Maryam Gholinezhad; Masoumeh Gholsorkhtabaramiri; Sedigheh Esmaeilzadeh; Azita Ghanbarpour
Journal:  Caspian J Intern Med       Date:  2018

6.  The effects of canola and olive oils consumption compared to sunflower oil, on lipid profile and hepatic steatosis in women with polycystic ovarian syndrome: a randomized controlled trial.

Authors:  Maryam Yahay; Zahra Heidari; Zahra Allameh; Reza Amani
Journal:  Lipids Health Dis       Date:  2021-01-29       Impact factor: 3.876

7.  Anthropometric, clinical, and metabolic comparisons of the four Rotterdam PCOS phenotypes: A prospective study of PCOS women.

Authors:  Sujata Kar
Journal:  J Hum Reprod Sci       Date:  2013-07

8.  Metformin induces a prompt decrease in LH-stimulated testosterone response in women with PCOS independent of its insulin-sensitizing effects.

Authors:  Dorothea Kurzthaler; Dijana Hadziomerovic-Pekic; Ludwig Wildt; Beata E Seeber
Journal:  Reprod Biol Endocrinol       Date:  2014-10-11       Impact factor: 5.211

9.  Afamin serum concentrations are associated with insulin resistance and metabolic syndrome in polycystic ovary syndrome.

Authors:  Beata Seeber; Elisabeth Morandell; Fabian Lunger; Ludwig Wildt; Hans Dieplinger
Journal:  Reprod Biol Endocrinol       Date:  2014-09-10       Impact factor: 5.211

10.  Can the Molar Insulin: C-Peptide Ratio Be Used to Predict Hyperinsulinaemia?

Authors:  Lynda Guildford; Catherine Crofts; Jun Lu
Journal:  Biomedicines       Date:  2020-05-03
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