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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 AnserFrimley Health NHS Foundation TrustSFSampana FatimaBMBushra MukhtarBahawal Victoria Hospital

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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