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Pre-test Cortisol Levels in Predicting Short Synacthen Test Outcome: A Retrospective Analysis
Ravikumar Ravindran1, Joanne L Carter2, Asit Kumar1
1Sections of Endocrinology, Aneurin Bevan University Health Board, Ystrad Fawr Way, Caerphilly, UK.
Summary
Pre-test cortisol levels can predict Short Synacthen test (SST) outcomes, potentially avoiding 28.6% of expensive SSTs. High cortisol levels reliably indicate a normal SST, while low levels suggest potential failure.
Area of Science:
- Endocrinology
- Clinical Chemistry
Background:
- Short Synacthen tests (SSTs) are crucial for assessing adrenal function but are costly and resource-intensive.
- The availability of Synacthen and the need for supervision add to the challenges of widespread SST implementation.
Purpose of the Study:
- To evaluate the predictive value of pre-test cortisol (Cort0) levels for Short Synacthen test (SST) outcomes.
- To identify potential strategies for reducing the number of SSTs performed by utilizing pre-test measurements.
Main Methods:
- Retrospective analysis of 506 Short Synacthen tests (SSTs).
- Examination of pre-test cortisol (Cort0), indications, and timing of tests.
- Receiver Operating Characteristic (ROC) curve analysis to determine optimal Cort0 cut-off values for predicting SST outcomes in different testing time groups.
Main Results:
- Cort0 levels of ⩽124 nmol/L (Group 1) or ⩽47 nmol/L (Group 2) predicted SST failure with 100% specificity.
- Cort0 levels of ⩾314 nmol/L (Group 1) or ⩾323 nmol/L (Group 2) predicted a normal SST with 100% sensitivity.
- A significant correlation was found between Cort0 and 30-minute cortisol (r = 0.65–0.78, P < .001).
- Median Cort0 was significantly lower in patients with failed SSTs compared to those with normal results (147 vs 298 nmol/L, P < .001).
Conclusions:
- Pre-test cortisol levels can reliably predict normal SST outcomes, with specific cut-offs achieving 100% sensitivity.
- Implementing these pre-test cortisol cut-offs could potentially avoid 28.6% of SSTs, reducing costs and resource utilization.
- Further consideration of pre-test predictability is advised for patients with lower likelihoods of SST failure.

