Hormone Replacement Therapy Stratification is the systematic clinical process of categorizing patients into distinct subgroups based on a comprehensive analysis of their individual clinical, genetic, and biochemical profiles to determine the most appropriate and safest HRT regimen. This methodology moves beyond simple age or symptom matching to incorporate risk factors, specific hormonal metabolite ratios, and pharmacogenetic data. Stratification ensures that the therapeutic choice, dose, and delivery method are precisely tailored to maximize efficacy and minimize adverse effects for each patient.
Origin
This concept is a direct application of personalized medicine principles to the field of endocrinology, addressing the historical “one-size-fits-all” approach to HRT. ‘Stratification’ is a term borrowed from statistics and clinical trials, emphasizing the division of a population into more homogeneous, therapeutically responsive groups.
Mechanism
The stratification process operates by integrating diagnostic data, such as CYP450 enzyme polymorphisms affecting hormone metabolism, with clinical data, including bone density and cardiovascular risk markers. Based on this profile, a specific hormone (e.g., bioidentical estradiol versus synthetic progestin) and a specific route of administration (e.g., transdermal versus oral) are selected. This data-driven decision-making ensures that the hormone replacement is aligned with the individual’s unique physiological processing capabilities.
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