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Gonadorelin

GnRH, Luteinizing Hormone-Releasing Hormone, LHRH, Factrel

Quick Stats
Studies 192
Trials 100
2025 pubmed

Predictive Modeling of Central Precocious Puberty Using IGF-1 and IGFBP-3 Standard Deviation Scores.

Choi. Rihwa R; Chun. Gayoung G; Cho. Sung-Eun SE; Lee. Sang Gon SG

Key Findings

  • FSH alone was the best single blood marker for detecting early puberty (AUC 0.77 in girls, 0.90 in boys).
  • IGF‑1 and IGFBP‑3 standard‑score values were weak predictors on their own (AUC < 0.7).
  • Combining IGF‑1 and IGFBP‑3 SDS in a multivariable model raised diagnostic performance (AUC 0.80 in girls, 0.92 in boys).

Practical Outcomes

  • For biohackers or self‑experimenters, this study offers little direct guidance. It focuses on a pediatric diagnostic tool (GnRH stimulation) and does not provide dosing, safety, or performance‑related information about gonadorelin for adult use.

Summary

Researchers looked at Korean kids to see if blood levels of IGF‑1 and IGFBP‑3 could help spot early puberty without the usual hormone‑challenge test. While these markers alone weren’t very strong, putting them into a statistical model improved the test’s accuracy, especially when using sex‑specific reference ranges.

Abstract

<b>Background/Objectives</b>: Central precocious puberty (CPP) is diagnosed via gonadotropin-releasing hormone (GnRH) stimulation testing, which can be burdensome in pediatric settings. This study evaluated the utility of baseline hormonal markers-particularly insulin-like growth fac-tor 1 (IGF-1) and IGF-binding protein 3 (IGFBP-3)-as auxiliary tools for CPP diagnosis in Korean children. <b>Methods</b>: We retrospectively analyzed patients who underwent GnRH stimulation testing. Baseline LH, FSH, IGF-1, and IGFBP-3 levels were assessed, along with standard deviation scores (SDS) calculated using two different reference intervals. Multivariable logistic regression was performed to improve diagnostic accuracy. Performance was evaluated using area under the curve (AUC) values from receiver operating characteristic (ROC) analyses, stratified by sex. <b>Results</b>: Among 2464 Korean children (2025 girls and 439 boys), CPP diagnosis rates were 54.2% in girls and 65.6% in boys. Among baseline markers, FSH showed the highest AUCs using raw values with sex-specific cutoffs (AUC = 0.767 in girls and 0.895 in boys). Although IGF-1 SDS and IGFBP-3 SDS showed AUCs &lt; 0.7 when used alone, predictive models incorporating these SDS values yielded higher performance (AUC = 0.800 in girls and 0.920 in boys. <b>Conclusions</b>: SDS-based IGF-1 and IGFBP-3 enhance CPP diagnosis when used in predictive models, emphasizing the need for sex-specific interpretation and standardized reference intervals in real-world clinical practice.

Study Information

Provider

pubmed

Year

2025

Date

2025-10-02T00:00:00.000Z

DOI

10.3390/diagnostics15192508

References

33