Evidence map›Paper›PMID 41993980›Full record

ArticleFrontiers in endocrinology2026

Hair cortisol as a marker of glucocorticoid replacement adequacy in adrenal insufficiency.

Merve Korkmaz Yilmaz, Semih Tek, Gizem Karatas Kiliccioglu, Aysel Unver Ozkahraman, Mutlu Niyazoglu, Esra Hatipoglu

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Article in Frontiers in endocrinology, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Merve Korkmaz YilmazDepartment of Endocrinology and Metabolism, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Semih TekDepartment of Medical Biochemistry, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Gizem Karatas KilicciogluDepartment of Endocrinology and Metabolism, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Aysel Unver OzkahramanDepartment of Endocrinology and Metabolism, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Mutlu NiyazogluDepartment of Endocrinology and Metabolism, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.
Esra HatipogluDepartment of Endocrinology and Metabolism, University of Health Sciences, Basaksehir Cam and Sakura City Hospital, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Achieving physiologic glucocorticoid replacement in adrenal insufficiency (AI) remains challenging, as both under- and over-replacement contribute to morbidity. Hair cortisol concentration (HCC) reflects cumulative cortisol exposure and may provide clinically relevant information beyond single-time-point assessments. Methods: In this cross-sectional study, 64 adults with hydrocortisone-treated AI and 64 matched healthy controls were evaluated. HCC was measured from the proximal 3-cm hair segment. Clinical, anthropometric, metabolic, and dosing parameters were analyzed. Patients were categorized as undertreated (VAS-fatigue or VAS-pain ≥7) or overtreated (hypertension, hyperglycemia, or ≥5% weight gain). Correlation, ROC, and multivariable regression analyses were performed. Results: HCC was higher in AI patients than controls (4.3 vs. 1.75 ng/g, p < 0.01). In AI, HCC was higher in primary than in secondary disease (6.5 vs. 3.8 ng/g; p = 0.037); this difference remained significant after excluding patients with congenital adrenal hyperplasia (13.8 vs. 3.8 ng/g; p < 0.01). HCC was positively correlated with BMI, waist circumference, blood pressure, and hydrocortisone dose, and inversely correlated with fatigue, pain, and therapy duration (all p < 0.05). In multivariable analysis, AI subtype remained independently associated with HCC. When the AI subtype was excluded from the model, hydrocortisone dose emerged as an independent predictor. HCC demonstrated excellent discrimination for severe fatigue (AUC 0.906) and pain (AUC 0.898), and good performance for systolic hypertension (AUC 0.837). Undertreated patients had markedly lower HCC than overtreated patients (2.1 vs. 14.1 ng/g, p < 0.001). Conclusions: HCC reflects long-term glucocorticoid exposure in AI and differentiates patterns consistent with both underreplacement and overtreatment. These findings support HCC as a potential adjunctive tool for evaluating replacement adequacy. Prospective studies are needed to determine its role in dose optimization.

Indexed as

Adrenal InsufficiencyGlucocorticoidsHairHormone Replacement TherapyHydrocortisoneAdultBiomarkersCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedBiomarkersGlucocorticoidsHydrocortisoneadrenal insufficiencybiomarkerhair cortisolhydrocortisone replacementmetabolic outcomesoverreplacementunderreplacement

Identifiers

PMID41993980
PMCPMC13079165

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.