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February 11, 2026Physiology International0 citations

A nomogram-based model to personalize growth hormone pretreatment in assisted reproductive technique for prediction of oocyte retrieval and embryo quality

RARomaisa AnserSFSampana FatimaBMBushra Mukhtar

Key Points

  • The aim is to develop and validate a predictive nomogram for enhancing oocyte retrieval and embryo quality through personalized growth hormone pretreatment.
  • 2,000 women ≤40 years with diminished ovarian reserve were assessed and assigned to four groups based on growth hormone pretreatment.
  • Groups received varying durations of growth hormone treatment alongside assisted reproductive techniques.
  • Hormonal profiles and insulin resistance levels were evaluated after treatment.
  • Multivariate regression analysis was conducted to identify factors influencing oocyte retrieval and embryo quality.
  • The G2 group had significantly higher estradiol levels, more oocytes retrieved, and better-quality embryos than the other groups.
  • HOMA-IR levels increased in the G2 group, indicating higher insulin resistance.
  • Growth hormone dose and AMH were identified as strong positive predictors of outcomes, while HOMA-IR and testosterone negatively affected results.

Abstract

Abstract Objective To develop and validate a predictive nomogram for oocyte retrieval and embryo quality based on personalized growth hormone (GH) pretreatment in women undergoing assisted reproductive techniques (ART) with diminished ovarian reserve (DOR). Methods 2,000 women ≤40 years, diagnosed with DOR, were non-randomly assigned to one of four groups based upon hormonal and metabolic markers: G1 (1-month GH pretreatment followed by ART), G2 (2-month GH pretreatment), G3 (GH given only during ovarian stimulation), and G4 (standard ART without GH). 2 IU/day of GH was given to women from G1-G3, hormonal profile was repeated and dynamic stratification was done. Results The G2 group showed significantly higher estradiol levels, more oocytes retrieved, and a higher proportion of good-quality embryos compared to G1, G3, and G4 ( P < 0.001). HOMA-IR levels were elevated in the G2 group, indicating increased insulin resistance with prolonged GH exposure. Multivariate regression identified GH dose ( β = 0.48, P < 0.0001) and AMH ( β = 0.35, P = 0.0013) as strong positive predictors, while HOMA-IR ( β = −0.22, P = 0.012) and testosterone ( β = −0.29, P = 0.028) negatively impacted outcomes. The nomogram modelled through multivariate regression provides a clinically effective tool for personalization of GH pretreatment. Conclusions The study demonstrates that GH pretreatment significantly enhances oocyte retrieval and embryo quality. A nomogram-based predictive model stratifies patients, supports the personalization of GH treatment duration, and offers a clinically useful tool toward precision reproductive medicine.

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Cite This Study

Anser et al. (2026) studied this question.

synapsesocial.com/papers/698c1c46267fb587c655e898https://doi.org/10.1556/2060.2025.00738
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