The short Synacthen (corticotropin) test can be used to predict recovery of hypothalamo-pituitary-adrenal axis function

The short Synacthen (corticotropin) test can be used to predict recovery of... Abstract Context The 250μg Short Synacthen (corticotropin) Test (SST) is the most commonly used tool to assess hypothalamo-pituitary-adrenal (HPA) axis function. There are many potentially reversible causes of adrenal insufficiency (AI), but currently no data to guide clinicians as to the frequency of repeat testing or likelihood of HPA axis recovery. Objective To use the SST results to predict recovery of adrenal function. Design A retrospective analysis of data from 1912 SSTs. Patients 776 patients with reversible causes of AI were identified who had at least two SSTs performed. A subgroup analysis was performed on individuals previously treated with suppressive doses of glucocorticoids (n=110). Main outcome measures Recovery of HPA axis function. Results SST 30-minute cortisol levels above or below 350nmol/L (12.7μg/dL) best predicted HPA axis recovery (AUC ROC=0.85; median recovery time 334 vs. 1368 days, p=8.5x10-13): 99% of patients with a 30-minute cortisol >350nmol/L recovered adrenal function within 4-years, compared with 49% in those with cortisol levels <350nmol/L. In patients exposed to suppressive doses of glucocorticoids, delta cortisol (30-minute - basal) was the best predictor of recovery (AUC ROC = 0.77; median recovery time 262 vs. 974 days, p=7.0x10-6). No patient with a delta cortisol <100nmol (3.6μg/dL) and a subsequent random cortisol <200nmol/L (7.3μg/dL) measured approximately 1-year later recovered HPA axis function. Conclusions Cortisol levels across an SST can be used to predict recovery of AI and may guide the frequency of repeat testing and inform both clinicians and patients as to the likelihood of restoration of HPA axis function. Copyright © 2018 Endocrine Society http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Clinical Endocrinology and Metabolism Oxford University Press

The short Synacthen (corticotropin) test can be used to predict recovery of hypothalamo-pituitary-adrenal axis function

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Publisher
Endocrine Society
Copyright
Copyright © 2018 Endocrine Society
ISSN
0021-972X
eISSN
1945-7197
D.O.I.
10.1210/jc.2018-00529
Publisher site
See Article on Publisher Site

Abstract

Abstract Context The 250μg Short Synacthen (corticotropin) Test (SST) is the most commonly used tool to assess hypothalamo-pituitary-adrenal (HPA) axis function. There are many potentially reversible causes of adrenal insufficiency (AI), but currently no data to guide clinicians as to the frequency of repeat testing or likelihood of HPA axis recovery. Objective To use the SST results to predict recovery of adrenal function. Design A retrospective analysis of data from 1912 SSTs. Patients 776 patients with reversible causes of AI were identified who had at least two SSTs performed. A subgroup analysis was performed on individuals previously treated with suppressive doses of glucocorticoids (n=110). Main outcome measures Recovery of HPA axis function. Results SST 30-minute cortisol levels above or below 350nmol/L (12.7μg/dL) best predicted HPA axis recovery (AUC ROC=0.85; median recovery time 334 vs. 1368 days, p=8.5x10-13): 99% of patients with a 30-minute cortisol >350nmol/L recovered adrenal function within 4-years, compared with 49% in those with cortisol levels <350nmol/L. In patients exposed to suppressive doses of glucocorticoids, delta cortisol (30-minute - basal) was the best predictor of recovery (AUC ROC = 0.77; median recovery time 262 vs. 974 days, p=7.0x10-6). No patient with a delta cortisol <100nmol (3.6μg/dL) and a subsequent random cortisol <200nmol/L (7.3μg/dL) measured approximately 1-year later recovered HPA axis function. Conclusions Cortisol levels across an SST can be used to predict recovery of AI and may guide the frequency of repeat testing and inform both clinicians and patients as to the likelihood of restoration of HPA axis function. Copyright © 2018 Endocrine Society

Journal

Journal of Clinical Endocrinology and MetabolismOxford University Press

Published: May 25, 2018

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