Baseline biochemical evaluation for etiologic differentiation in ACTH-dependent Cushing’s syndrome: machine learning and composite score analysis in a multicenter cohort of 566 patients.

BACKGROUND: Limited availability of corticotropin-releasing hormone (CRH) currently complicates the differentiation of adrenocorticotropin (ACTH)-dependent Cushing's syndrome (CS). The diagnostic value of common screening tests in distinguishing Cushing's disease (CD) from ectopic CS (ECS) remains unclear. OBJECTIVE: To assess the diagnostic performance of screening tests, alone and in combination, in differentiating CD from ECS. METHODS: Retrospective multicenter study enrolling patients with confirmed ACTH-dependent CS and available screening tests at diagnosis. Data are expressed as multiples of upper limit of normal (×ULN). Optimal cut-offs were determined using Youden's Index. Combination with composite score models and machine learning (ML) algorithm were performed. RESULTS: A total of 566 patients were included (509 [90%] with CD). The optimal morning ACTH cut-off was 1.8×ULN (sensitivity 74%, specificity 77%, AUC=0.776 [CI-95% 0.688-0.853]). 24h-urinary free cortisol (24h-UFC) showed the best performance (cut-off 5.9×ULN, sensitivity 72%, specificity 83%, AUC=0.854 [0.816-0.923]), followed by the 1 mg dexamethasone suppression test (12.8×ULN, sensitivity 70%, specificity 86%, AUC=0.828 [0.740-0.906]). Using a composite score, a cut-off of 1.5 yielded 78% sensitivity and 92% specificity (AUC=0.865 [0.798-0.933]). Combining this score with pituitary MRI-findings, sensitivity and specificity were 88% and 85% (AUC=0.931 [0.887-0.974]). ML algorithm (balanced random forest) including screening tests-results yielded a sensitivity of 71% and specificity of 84% (AUC=0.853 [0.741-0.966]), while including the MRI-findings variant achieved a sensitivity and specificity of 76% and 91% (AUC=0.902 [0.805-0.999]). CONCLUSION: Combining screening tests in composite scoring and ML differentiates ACTH-dependent CS and offers a potential diagnostic alternative to CRH-stimulation test.

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Journal
European Journal of Endocrinology
Published
2026-07-30
DOI
https://doi.org/10.1093/ejendo/lvag141
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
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article

Baseline biochemical evaluation for etiologic differentiation in ACTH-dependent Cushing’s syndrome: machine learning and composite score analysis in a multicenter cohort of 566 patients.

Timo Deutschbein, Martin Faßnacht, Greisa Vila, Mario Detomas et al.
European Journal of Endocrinology
Pituitary Gland Disorders and Treatments
article

Baseline biochemical evaluation for etiologic differentiation in ACTH-dependent Cushing’s syndrome: machine learning and composite score analysis in a multicenter cohort of 566 patients.

Timo Deutschbein, Martin Faßnacht, Greisa Vila, Mario Detomas, German Rubinstein, Barbara Altieri, J. Honegger, Marco Losa, Isabella Nasi‐Kordhishti, Isabel Stüfchen, Otilia Kimpel, Marcus Quinkler, Juan P Prada Salcedo, Stefan Wolfsberger
article en

Abstract

BACKGROUND: Limited availability of corticotropin-releasing hormone (CRH) currently complicates the differentiation of adrenocorticotropin (ACTH)-dependent Cushing's syndrome (CS). The diagnostic value of common screening tests in distinguishing Cushing's disease (CD) from ectopic CS (ECS) remains unclear. OBJECTIVE: To assess the diagnostic performance of screening tests, alone and in combination, in differentiating CD from ECS. METHODS: Retrospective multicenter study enrolling patients with confirmed ACTH-dependent CS and available screening tests at diagnosis. Data are expressed as multiples of upper limit of normal (×ULN). Optimal cut-offs were determined using Youden's Index. Combination with composite score models and machine learning (ML) algorithm were performed. RESULTS: A total of 566 patients were included (509 [90%] with CD). The optimal morning ACTH cut-off was 1.8×ULN (sensitivity 74%, specificity 77%, AUC=0.776 [CI-95% 0.688-0.853]). 24h-urinary free cortisol (24h-UFC) showed the best performance (cut-off 5.9×ULN, sensitivity 72%, specificity 83%, AUC=0.854 [0.816-0.923]), followed by the 1 mg dexamethasone suppression test (12.8×ULN, sensitivity 70%, specificity 86%, AUC=0.828 [0.740-0.906]). Using a composite score, a cut-off of 1.5 yielded 78% sensitivity and 92% specificity (AUC=0.865 [0.798-0.933]). Combining this score with pituitary MRI-findings, sensitivity and specificity were 88% and 85% (AUC=0.931 [0.887-0.974]). ML algorithm (balanced random forest) including screening tests-results yielded a sensitivity of 71% and specificity of 84% (AUC=0.853 [0.741-0.966]), while including the MRI-findings variant achieved a sensitivity and specificity of 76% and 91% (AUC=0.902 [0.805-0.999]). CONCLUSION: Combining screening tests in composite scoring and ML differentiates ACTH-dependent CS and offers a potential diagnostic alternative to CRH-stimulation test.

European Journal of Endocrinology
Vita-Salute San Raffaele University (IT), Medical University of Graz (AT), University of Würzburg (DE), LMU Klinikum (DE), Universitätsklinikum Würzburg (DE), Medicover (DE), Medical University of Vienna (AT), University of Tübingen (DE)
Openalex Percentile: Top 9%
Pituitary Gland Disorders and Treatments
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