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Endocrine Abstracts (2022) 81 RC2.4 | DOI: 10.1530/endoabs.81.RC2.4

ECE2022 Rapid Communications Rapid Communications 2: Adrenal and Cardiovascular Endocrinology 1 (8 abstracts)

Diagnostic value of basal cortisol level to predict adrenal insufficiency in patients treated with glucocorticoids during COVID-19: a single centre observational cohort study

Mojca Jensterle 1,2 , Matej Rakusa 1,2 , Gaj Vidmar 2,3,4 , Andrej Janez 1,2 & Tomaž Kocjan 1,2


1Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia; 2Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia; 3University Rehabilitation Institute, Ljubljana, Slovenia; 4FAMNIT, University of Primorska, Koper, Slovenia


Objective: During the current pandemic of COVID-19, many therapeutic protocols adopted high dose systemic glucocorticoids (GC) for treatment of moderate to severe respiratory insufficiency. The suppression of the hypothalamic–pituitary–adrenal axis by synthetic GC, even after a short treatment period, cannot be reliably predicted due to pathophysiological changes in cortisol dynamics in critically ill, inter-individual pharmacokinetic differences, and sensitivity variations in glucocorticoid receptors. Moreover, the revealed pathological adrenal changes in Covid-19 patients make prior estimates even less reliable.

Aim: We aimed to estimate percentage of patients with adrenal insufficiency (AI) at the end of acute phase of COVID-19 after tapering GC toward replacement dose of hydrocortisone for at least 1 week and to investigate for the first time the basal cortisol level for prediction of AI in this population.

Methods: We retrospectively analysed 287 consecutive patients (median 65 years, range 26-91 years); 113 (39.4%) female and 174 (60.6%) male) who had low-dose (1 μg) cosyntropin testing. Site-specific cut-off levels for AI were <500 nmol/l. The overall potential of cortisol at baseline to classify patients into adrenal (in)sufficiency was assessed using receiver-operating-characteristic (ROC) curve analysis.

Results: The average cortisol level at baseline was 419 nmol/l (median 429, range 36-953 nmol/l), and at 30’ 617 nmol/l (median 623, range 114-1092 nmol/l); Overall, 65 (22.6%) showed an insufficient increase of cortisol and were categorized as AI. ROC showed an overall area under the curve (AUC) for basal cortisol of 0.84, with 95% confidence interval 0.79-0.89. If basal cortisol level was below 100 nmol/l, which was the case in 7 patients (2.4%), the positive predictive value (PPV) to predict AI was 100%. If basal cortisol was at least 450 nmol/l, which was the case in 125 patients (43.6%), the negative predictive value (NPV) to predict no AI was 96.0%; if it was at least 400 nmol/l (158 patients, 55.1%), NPV was 93.0%; and if it was at least 460 nmol/l (113 patients, 39.4%), NPV was 99.1%. PPV sharply declines after the threshold of 100 nmol/l. On the other hand, PPV increases approximately linearly over the threshold range from 350 to 460 nmol/l, where it practically reaches 100%.

Conclusion: Basal cortisol levels ≤100 and ≥460 nmol/l in patients tested for possible AI were found in 41.2% and had sufficient diagnostic accuracy to safely abolish the need for cosyntropin testing. The data may help guide clinicians when testing for AI can be simplified.

Volume 81

European Congress of Endocrinology 2022

Milan, Italy
21 May 2022 - 24 May 2022

European Society of Endocrinology 

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