{"title":"Clinical and Biochemical Data for the Diagnosis of Endogenous Hypercortisolism: The \"Cushingomic\" Approach.","authors":"Filippo Ceccato, Alessandro Bavaresco, Eugenio Ragazzi, Mattia Barbot, Marco Boscaro, Daniela Basso, Carla Scaroni, Giorgia Antonelli","doi":"10.1210/clinem/dgae517","DOIUrl":null,"url":null,"abstract":"<p><strong>Context: </strong>The clinical presentation of Cushing syndrome (CS) overlaps with common conditions. Recommended screening tests are serum cortisol after 1-mg overnight dexamethasone suppression test (DST), urinary free cortisol (UFC), and late-night salivary cortisol (LNSC).</p><p><strong>Objective: </strong>We analyzed the diagnostic accuracy of screening tests in 615 patients without CS (263 suspected CS, 319 adrenal and 33 pituitary incidentaloma) and 40 with CS.</p><p><strong>Methods: </strong>Principal component analysis, K-means clustering, and neural network were used to compute an integrated analysis among tests, comorbidities, and signs/symptoms of hypercortisolism.</p><p><strong>Results: </strong>The diagnostic accuracy of screening tests for CS was high; DST and UFC were slightly superior to LNSC. The threshold of DST should be adapted to the population considered, especially in adrenal incidentaloma (AI) with mild autonomous cortisol secretion: The cutoff to differentiate CS should be increased to 196 nmol/L. Diabetes, hypertension, and obesity were more common in patients without CS: The direction of their vectors was not aligned and their correlation with screening tests was poor. Clustering allowed us to differentiate those patients without CS into cluster 1 (aged osteoporotic patients with impaired screening tests), cluster 2 (hypertensive and metabolic phenotype), and cluster 3 (young individuals with a low likelihood of overt CS). A neural network model that combined screening tests and clinical presentation was able to predict the CS diagnosis in the validation cohort with 99% precision and 86% accuracy.</p><p><strong>Conclusion: </strong>Despite the high diagnostic accuracy of screening tests to detect CS, cortisol-related comorbidities or AI should be considered when interpreting a positive test.</p>","PeriodicalId":50238,"journal":{"name":"Journal of Clinical Endocrinology & Metabolism","volume":" ","pages":"396-405"},"PeriodicalIF":5.0000,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Endocrinology & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1210/clinem/dgae517","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
Context: The clinical presentation of Cushing syndrome (CS) overlaps with common conditions. Recommended screening tests are serum cortisol after 1-mg overnight dexamethasone suppression test (DST), urinary free cortisol (UFC), and late-night salivary cortisol (LNSC).
Objective: We analyzed the diagnostic accuracy of screening tests in 615 patients without CS (263 suspected CS, 319 adrenal and 33 pituitary incidentaloma) and 40 with CS.
Methods: Principal component analysis, K-means clustering, and neural network were used to compute an integrated analysis among tests, comorbidities, and signs/symptoms of hypercortisolism.
Results: The diagnostic accuracy of screening tests for CS was high; DST and UFC were slightly superior to LNSC. The threshold of DST should be adapted to the population considered, especially in adrenal incidentaloma (AI) with mild autonomous cortisol secretion: The cutoff to differentiate CS should be increased to 196 nmol/L. Diabetes, hypertension, and obesity were more common in patients without CS: The direction of their vectors was not aligned and their correlation with screening tests was poor. Clustering allowed us to differentiate those patients without CS into cluster 1 (aged osteoporotic patients with impaired screening tests), cluster 2 (hypertensive and metabolic phenotype), and cluster 3 (young individuals with a low likelihood of overt CS). A neural network model that combined screening tests and clinical presentation was able to predict the CS diagnosis in the validation cohort with 99% precision and 86% accuracy.
Conclusion: Despite the high diagnostic accuracy of screening tests to detect CS, cortisol-related comorbidities or AI should be considered when interpreting a positive test.
期刊介绍:
The Journal of Clinical Endocrinology & Metabolism is the world"s leading peer-reviewed journal for endocrine clinical research and cutting edge clinical practice reviews. Each issue provides the latest in-depth coverage of new developments enhancing our understanding, diagnosis and treatment of endocrine and metabolic disorders. Regular features of special interest to endocrine consultants include clinical trials, clinical reviews, clinical practice guidelines, case seminars, and controversies in clinical endocrinology, as well as original reports of the most important advances in patient-oriented endocrine and metabolic research. According to the latest Thomson Reuters Journal Citation Report, JCE&M articles were cited 64,185 times in 2008.