Reassessing the Role of Morning Cortisol in Adrenal Insufficiency Diagnosis: Insights from a Multicentric Cohort.

IF 1.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Hormone and Metabolic Research Pub Date : 2025-03-01 Epub Date: 2025-01-23 DOI:10.1055/a-2509-3766
Maria Leonor Guia Lopes, Catarina Regala, Clotilde Limbert, Tiago Nunes Silva, João Sequeira Duarte, Valeriano Leite, Susana Prazeres
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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.

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重新评估早晨皮质醇在肾上腺功能不全诊断中的作用:来自多中心队列的见解。
由于非特异性症状,肾上腺功能不全(AI)的诊断具有挑战性。测量上午8点血清皮质醇水平是一种常见的筛查测试,但其预测人工智能的准确性仍不确定。本研究旨在评估疑似AI病例的早晨基础皮质醇水平的预测诊断价值,并将其与健康个体的水平进行比较。我们进行了一项回顾性多中心队列研究。该研究包括流行病学队列(疑似人工智能患者)和对照队列(健康志愿者)。在流行病学队列中,进行acth刺激试验以确认(AI组)或排除(非AI组)疾病。我们已纳入273人(168例疑似AI病例和105例对照)。对照组的基础皮质醇水平高于疑似ai组(9.9±3.2 μg/dl vs. 7.7±3.3 μg/dl, p
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来源期刊
Hormone and Metabolic Research
Hormone and Metabolic Research 医学-内分泌学与代谢
CiteScore
3.80
自引率
0.00%
发文量
125
审稿时长
3-8 weeks
期刊介绍: Covering the fields of endocrinology and metabolism from both, a clinical and basic science perspective, this well regarded journal publishes original articles, and short communications on cutting edge topics. Speedy publication time is given high priority, ensuring that endocrinologists worldwide get timely, fast-breaking information as it happens. Hormone and Metabolic Research presents reviews, original papers, and short communications, and includes a section on Innovative Methods. With a preference for experimental over observational studies, this journal disseminates new and reliable experimental data from across the field of endocrinology and metabolism to researchers, scientists and doctors world-wide.
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