Araştırma Makalesi

Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome

Cilt: 6 Sayı: 1 30 Nisan 2022
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Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome

Öz

Aim: This study aims to compare insulin resistance (IR) measurement methods in women with and without polycystic ovary syndrome (PCOS) who have the same body mass index. Material and Methods: There were 84 women with PCOS and non-PCOS (n=18 normal weight and n=24 overweight/obese in both groups). Triglyceride glucose index (TyG), assessment of insulin resistance with homeostasis model (HOMA-IR), visceral adiposity index (VAI) were calculated using lipid level, glucose level and anthropometric measurements. Mann-Whitney U or Student's t-test was used to compare measurements between the groups. The relationship between HOMA-IR and age was calculated with the Pearson correlation test, and the relationship between HOMA-IR and TyG was calculated with the Spearman correlation test. p<0.05 was considered significant. Results: Triglyceride levels, insulin, TyG, and HOMA-IR were higher in the PCOS group than in the non-PCOS group (p=0.003, p=0.001, p=0.006, p=0.001, respectively). In the PCOS group, there was a negative correlation between HOMA-IR and age (r=-0.399, p=0.024), and a positive correlation between HOMA-IR and TyG index (r=0.776, p<0.001). TyG index and HOMA-IR were higher in normal weight PCOS women than non-PCOS (p=0.002, p=0.003, respectively), however there was no difference in overweight/obese PCOS women and non-PCOS. In PCOS patients, a TyG index >3.91 (89.5% sensitivity, 76.9% specificity) predicted insulin resistance (IR). Conclusion: TyG and HOMA-IR levels are higher in women with PCOS than non-PCOS. The TyG index can be used as an alternative method in evaluating insulin resistance among these patients.

Anahtar Kelimeler

Destekleyen Kurum

Yok

Kaynakça

  1. Referans-1: Azziz R. Polycystic Ovary Syndrome. Obstet Gynecol. 2018 Aug;132(2):321-336.
  2. Referans-2: Rosenfield RL, Ehrmann DA. The Pathogenesis of Polycystic Ovary Syndrome (PCOS): The Hypothesis of PCOS as Functional Ovarian Hyperandrogenism Revisited. Endocr Rev. 2016;37(5):467-520.
  3. Referans-3: Osibogun O, Ogunmoroti O, Michos ED. Polycystic ovary syndrome and cardiometabolic risk: Opportunities for cardiovascular disease prevention. Trends Cardiovasc Med. 2020; Oct;30(7):399-404.
  4. Referans-4: American College of Obstetricians and Gynecologists' Committee on Practice Bulletins—Gynecology. ACOG Practice Bulletin No. 194: Polycystic Ovary Syndrome. Obstet Gynecol. 2018; Jun;131(6):e157-e171.
  5. Referans-5: DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: a method for quantifying insulin secretion and resistance. Am J Physiol Endocrinol Metab. 1979; 237:E214.
  6. Referans-6: Guerrero-Romero F, Simental-Mendía LE, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala MG, Hernández-González SO, Jacques-Camarena O, Rodríguez-Morán M. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab 2010;95:3347-51.
  7. Referans-7: Vasques AC, Novaes FS, de Oliveira Mda S, Souza JR, Yamanaka A, Pareja JC, Tambascia MA, Saad MJ, Geloneze B. TyG index performs better than HOMA in a Brazilian population: a hyperglycemic clamp validated study. Diabetes Res Clin Pract 2011;93:e98-e100
  8. Referans-8: Shin K-A. Triglyceride and Glucose (TyG) Index is a Clinical Surrogate Marker for the Diagnosis of Metabolic Syndrome. J Biomedical Science Letters 2017; 23:348-54.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Sağlık Kurumları Yönetimi

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

30 Nisan 2022

Gönderilme Tarihi

25 Aralık 2021

Kabul Tarihi

4 Şubat 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 6 Sayı: 1

Kaynak Göster

APA
Bilginer, M. C., Tüfekçi, D., Emür Günay, Y., Usta, O., Coşkun, H., Üçüncü, O., Nuhoğlu, İ., & Koçak, M. (2022). Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turkish Journal of Diabetes and Obesity, 6(1), 24-31. https://doi.org/10.25048/tudod.1041387
AMA
1.Bilginer MC, Tüfekçi D, Emür Günay Y, vd. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 2022;6(1):24-31. doi:10.25048/tudod.1041387
Chicago
Bilginer, Muhammet Cüneyt, Damla Tüfekçi, Yasemin Emür Günay, vd. 2022. “Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity 6 (1): 24-31. https://doi.org/10.25048/tudod.1041387.
EndNote
Bilginer MC, Tüfekçi D, Emür Günay Y, Usta O, Coşkun H, Üçüncü O, Nuhoğlu İ, Koçak M (01 Nisan 2022) Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turkish Journal of Diabetes and Obesity 6 1 24–31.
IEEE
[1]M. C. Bilginer vd., “Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome”, Turk J Diab Obes, c. 6, sy 1, ss. 24–31, Nis. 2022, doi: 10.25048/tudod.1041387.
ISNAD
Bilginer, Muhammet Cüneyt - Tüfekçi, Damla - Emür Günay, Yasemin - Usta, Oğuzer - Coşkun, Hülya - Üçüncü, Ozge - Nuhoğlu, İrfan - Koçak, Mustafa. “Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity 6/1 (01 Nisan 2022): 24-31. https://doi.org/10.25048/tudod.1041387.
JAMA
1.Bilginer MC, Tüfekçi D, Emür Günay Y, Usta O, Coşkun H, Üçüncü O, Nuhoğlu İ, Koçak M. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 2022;6:24–31.
MLA
Bilginer, Muhammet Cüneyt, vd. “Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome”. Turkish Journal of Diabetes and Obesity, c. 6, sy 1, Nisan 2022, ss. 24-31, doi:10.25048/tudod.1041387.
Vancouver
1.Muhammet Cüneyt Bilginer, Damla Tüfekçi, Yasemin Emür Günay, Oğuzer Usta, Hülya Coşkun, Ozge Üçüncü, İrfan Nuhoğlu, Mustafa Koçak. Evaluation of Insulin Resistance Measurement Methods in Patients with Polycystic Ovary Syndrome. Turk J Diab Obes. 01 Nisan 2022;6(1):24-31. doi:10.25048/tudod.1041387

Cited By

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