Abstract
The diagnosis of adrenal insufficiency (AI) is challenging due to nonspecific symptoms. Measuring 8 AM serum cortisol levels is a common screening test, but its accuracy in predicting AI remains uncertain. This study aimed to evaluate the predictive diagnostic value of basal morning cortisol levels in suspected AI cases and compare them with levels in healthy individuals. We have conducted a retrospective multicentric cohort study. The study included an epidemiological cohort (patients with AI suspicion) and a control cohort (healthy volunteers). In the epidemiological cohort an ACTH-stimulation test was performed to confirm (AI group) or exclude (non-AI group) the disease. We have included 273 individuals (168 suspected AI cases and 105 controls). Basal cortisol levels were higher in the control group compared to the AI-suspected group (9.9±3.2 μg/dl vs. 7.7±3.3 μg/dl, p<0.001), though both were below the 15 μg/dl recommended threshold for excluding AI. Within the epidemiological cohort, even after a propensity score matching, taking into consideration sex, age and AI symptoms complaints, no significant difference in basal cortisol levels was found between patients with and without AI [6.10 (4.43; 8.45) vs. 7.14 (4.68; 12.15), p=0.128]. Logistic regression and ROC curve analyses showed a low predictive value for basal cortisol, with a positive predictive value of 18.9% and low specificity. AI patients more frequently experienced hypotension and nausea, compared with non-AI patients. Morning cortisol levels alone are unreliable for diagnosing AI. Revising cortisol cutoffs and incorporating symptom-based criteria may improve diagnostic accuracy.
Published Version
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