Pre-test Cortisol Levels in Predicting Short Synacthen Test Outcome: A Retrospective Analysis

Author:

Ravindran Ravikumar1ORCID,Carter Joanne L2,Kumar Asit1,Capatana Florin1,Khan Ishrat N1,Adlan Mohamed A1,Premawardhana Lakdasa D13

Affiliation:

1. Sections of Endocrinology, Aneurin Bevan University Health Board, Ystrad Fawr Way, Caerphilly, UK

2. Medical Biochemistry, Aneurin Bevan University Health Board, Ystrad Fawr Way, Caerphilly, UK

3. Thyroid Research Group, Cardiff University School of Medicine, Cardiff, UK.

Abstract

Objective:Short Synacthen tests (SSTs) are expensive, dependent on Synacthen availability, and need supervision. To reduce SST testing, we examined the utility of pre-test cortisol (Cort0) and related parameters in predicting outcome.Design and Measurements:We retrospectively examined the following in all SSTs; (i) Cort0 (ii) indications (iii) and time and place of testing. Receiver operated characteristic (ROC) curves were devised for Cort0 to obtain the best cut-off for outcome prediction in those who had SSTs between 8 and 10 am (Group 1) and at other times (Group 2).Results:Of 506 SSTs, 13 were unsuitable for analysis. 111/493 SSTs (22.5%) were abnormal. (1) ROC curves predicted – (a) SST failure with 100% specificity when Cort0 was ⩽124 nmol/L (Group 1), or ⩽47 (Group 2); (b) a normal SST with 100% sensitivity when Cort0 ⩾314 nmol/L (Group 1) and ⩾323 nmol/L (Group 2). (2) There was significant correlation between Cort0 and 30-minute cortisol ( rs = 0.65-0.78, P  < .001). (3) Median Cort0 was lower in those who failed SSTs compared to those who passed (147 vs 298 nmol/L respectively, P  < .001). (4) SST failure was commoner in Group 1 vs 2 ( P = .001). (5) There was no difference in outcome between out-patient and inpatient SSTs. (6) SST failure was most common for ‘steroid related’ indications (39.6%, P  < .001).Conclusions:This study indicates that (1) Cort0 ⩾ 323 (Group1) and ⩾314 nmol/L (Group 2) predicted a normal SST with 100% sensitivity; (2) Using these cut offs 141/493 (28.6%) tests may have been avoided; (3) supporting evidence should be considered in those with a lower pre-test predictability of failure.

Publisher

SAGE Publications

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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