ArticleWomen's health (London, England)
Age-related decline in AMH and gonadotropin patterns in Syrian women: Preliminary population-based estimates.
Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
BackgroundAnti-Müllerian hormone (AMH) is a key biomarker of ovarian reserve, yet population-specific reference values remain limited for Middle Eastern women.ObjectivesEstablishing preliminary age-specific population estimates of AMH and gonadotropin is essential for improving clinical interpretation in this demographic.DesignCross-sectional, population-based exploratory study conducted between March 2025 and February 2026.Methods90 healthy women aged 19-47 years were recruited. Serum AMH, follicle-stimulating hormone (FSH), and luteinizing hormone (LH) were measured on cycle day 3. Age-specific distributions were summarized as preliminary population-based estimates, given the modest sample size within each age stratum. Linear regression models were used to assess whether AMH independently predicted FSH, LH, or the LH/FSH ratio after adjusting for age.ResultsAMH showed a strong inverse correlation with age (r=-0.54). ROC analysis demonstrated that lower AMH levels were strongly associated with being older than 35 years, with an AMH value of 1.8 ng/mL (AUC≈0.80; sensitivity 0.94; specificity 0.61), indicating high sensitivity but limited specificity. FSH increased progressively with age (r=0.29), while LH remained relatively stable, resulting in a declining LH/FSH ratio. Regression analysis showed that AMH was independently associated with the LH/FSH ratio (β = 0.100, p < 0.001), but not FSH or LH after adjusting for age.ConclusionThis study provides the first preliminary age-specific population estimates of AMH and gonadotropins in Syrian women, demonstrating patterns consistent with global ovarian-aging trajectories. However, the absence of data on BMI, smoking, and lifestyle factors, along with the modest sample size, may limit the precision and generalizability of these estimates.
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