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Updated: May 18, 2026

A Novel Method: Super-selective Adrenal Venous Sampling

A Novel Method: Super-selective Adrenal Venous Sampling

Published on: September 15, 2017

[Iatrogenic adrenal insufficiency].

J Rodríguez Virgili¹, A A Cabal García

¹Medicina de Familia y Comunitaria, Centro de Salud Cabañaquinta, Oviedo, España.

|October 2, 2012

Summary

Adrenal insufficiency (AI) results from low glucocorticoid production. Exogenous steroids, particularly oral and topical, are a common cause, with secondary AI being more prevalent than primary AI.

Area of Science:

Endocrinology
Pharmacology

Context:

Adrenal insufficiency (AI) is characterized by insufficient production or secretion of glucocorticoids.
Primary and secondary AI have different etiologies, with secondary AI being more common.
Exogenous steroid use, both oral and topical, is a significant cause of AI.

Purpose:

To highlight the prevalence and causes of adrenal insufficiency.
To emphasize the role of exogenous steroids as a leading cause of AI.
To raise awareness regarding topical steroid-induced AI.

Summary:

Adrenal insufficiency arises from a deficit in glucocorticoid production or secretion.
Secondary adrenal insufficiency is more prevalent than primary AI.
Exogenous steroid use, including oral and less commonly topical forms, is a major etiological factor.

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Fecal Glucocorticoid Analysis: Non-invasive Adrenal Monitoring in Equids

Fecal Glucocorticoid Analysis: Non-invasive Adrenal Monitoring in Equids

Published on: April 25, 2016

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Last Updated: May 18, 2026

A Novel Method: Super-selective Adrenal Venous Sampling

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Published on: September 15, 2017

Fecal Glucocorticoid Analysis: Non-invasive Adrenal Monitoring in Equids

Fecal Glucocorticoid Analysis: Non-invasive Adrenal Monitoring in Equids

Published on: April 25, 2016

Impact:

Increased awareness of exogenous steroid-induced AI, especially from topical applications.
Improved patient monitoring for AI in individuals using long-term or high-potency topical steroids.
Potential for earlier diagnosis and management of AI, reducing morbidity.