# Role of atherogenic indices in predicting infertility in polycystic ovary syndrome

**Authors:** Beyzanur Kahyaoğlu, Esra Keles, İsmail Bağlar, Mehmet Güçlü, Buket Yiğit Çivi, Sahra Sultan Kara, Gizem Elif Dizdaroğulları

PMC · DOI: 10.1590/1806-9282.20241460 · Revista da Associação Médica Brasileira · 2025-08-08

## TL;DR

This study shows that atherogenic lipid markers, especially the triglyceride-glucose index, can predict infertility in women with polycystic ovary syndrome.

## Contribution

The study identifies the triglyceride-glucose index as a novel, non-invasive predictor of infertility in polycystic ovary syndrome.

## Key findings

- Infertile women with polycystic ovary syndrome had higher levels of atherogenic indices and insulin resistance markers.
- The triglyceride-glucose index was strongly correlated with insulin resistance and total testosterone.
- Age, prolactin, and the triglyceride-glucose index were independent predictors of infertility.

## Abstract

The aim of the study was to assess the predictive value of the triglyceride-glucose index and atherogenic indices for infertility in women with polycystic ovary syndrome.

This prospective, single-center, non-randomized observational study was conducted on 279 women diagnosed with polycystic ovary syndrome from May to December 2023. Women with polycystic ovary syndrome were grouped into two groups: those with infertility and those without infertility. Demographic, hormonal, and clinical parameters were studied. The statistical study employed IBM SPSS (Statistical Package for the Social Sciences) Statistics 22 to analyze the distribution of variables, assessing normality and comparing categorical and continuous data. Descriptive statistics were computed, with categorical and continuous data compared using appropriate tests (chi-square, Student's t-test, and Mann-Whitney U). Multivariable logistic regression identified independent predictors of infertility, with a significance level set at 0.05.

Infertile women with polycystic ovary syndrome had significantly higher plasma levels of dehydroepiandrosterone sulfate (p=0.001), testosterone (p=0.005), insulin (p=0.041), Homeostasis Model Assessment of Insulin Resistance (p=0.029), prolactin (p=0.018), triglycerides (p<0.001), triglyceride/high-density lipoprotein (p=0.001), atherogenic index of plasma (p=0.011), triglyceride-glucose index (p=0.001), and lipoprotein combine index (p=0.007) compared to the fertile women with polycystic ovary syndrome. Correlation analysis showed that the triglyceride-glucose index correlated with the Homeostasis Model Assessment of Insulin Resistance (r=0.402, p<0.001) and total testosterone (r=0.191, p=0.001). Multivariable analysis identified age (OR 1.189, 95%CI 1.122–1.263, p<0.001), prolactin (OR 1.040, 95%CI 1.004–1.077, p=0.029), and triglyceride-glucose index (OR 2.473, 95%CI 1.404–4.177, p<0.001) as independent predictors of infertility.

This study suggests a more atherogenic lipid profile in infertile women with polycystic ovary syndrome, suggesting a significant link between dyslipidemia and infertility. The triglyceride-glucose index proves to be a reliable, non-invasive marker of insulin resistance and may aid in identifying women at higher risk for infertility, facilitating earlier, targeted interventions.

## Linked entities

- **Diseases:** polycystic ovary syndrome (MONDO:0008487)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, PRL (prolactin) [NCBI Gene 5617] {aka GHA1, pPRL}
- **Diseases:** atherogenic (MESH:D050197), dyslipidemia (MESH:D050171), Insulin Resistance (MESH:D007333), polycystic ovary syndrome (MESH:D011085), infertility (MESH:D007246)
- **Chemicals:** glucose (MESH:D005947), testosterone (MESH:D013739), dehydroepiandrosterone sulfate (MESH:D019314), triglyceride (MESH:D014280), lipid (MESH:D008055)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12341413/full.md

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Source: https://tomesphere.com/paper/PMC12341413