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Background: Normalization of hypercortisolism is essential to reduce morbidity and mortality in patients with Cushing's syndrome (CS). The aim of this analysis was to assess biochemical control rates in patients with Cushing's disease (CD), ectopic Cushing's syndrome (ECS) and adrenal Cushing's syndrome (ACS)., Methods: Patients with confirmed CS (n= 296) treated in a single tertiary care center were retrospectively analysed (185 CD, 27 ECS, 84 uni- and bilateral ACS)., Results: Firstline treatment led to biochemical control in 82% of the patients. Time to biochemical control (median, IQR) was longer in CD (11.0 weeks, 5.6-29.8; p< 0.05) than in ACS (7.7 weeks, 4.1-17.1) and ECS (5.6 weeks, 4.1-23.3). Disease persistence or recurrence after first-line therapy was observed more often in CD (24% and 18%; p< 0.05) than in ECS (15% and 15%) and ACS (6% and 4%). Total time in hypercortisolism since diagnosis was significantly shorter in patients with CD diagnosed since 2013, after specialized patient care was implemented, compared to patients diagnosed before 2013 (13.5 weeks, vs. 26.1 weeks; p< 0.0070). Control of hypercortisolism at last follow up (76 months, 38-163) was achieved in 94% of patients with ACS, 100% of patients with ECS and 92% of patients with CD., Conclusions: Biochemical control can be achieved in most patients with different subtypes of CS within a reasonable time frame. Control of hypercortisolism has improved over time., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Symptoms of depression and anxiety are frequent in patients with primary aldosteronism (PA) and are supposed to be independent risk factors for cardiovascular diseases (CVD). As patients with PA have an increased cardiovascular risk compared to patients with essential hypertension, sleep disturbances, which often accompany depressive and anxiety symptoms, may be an additional contributor to the cardiometabolic consequences of PA. To clarify this possible link we investigated 132 patients with PA at baseline and after one year after initiation of treatment either by adrenalectomy (ADX) or mineralocorticoid-receptor-antagonist (MRA). Sleep disturbances and daytime sleepiness were assessed with Pittsburg sleep Inventory (PSQI) and Epworth sleepiness scale (ESS). Patients with PA showed pathological scores for sleep disturbances at baseline according to PSQI, with females being more affected (8.1 vs. 5.7 p < 0.001), which was significantly improved after initiation of specific treatment (p = 0.002). For ESS we found scores within the normal range, but higher than the general population, which significantly improved at follow-up (p < 0.001). The intensity of sleep disturbances was highly correlated with scores of anxiety and depression at baseline and follow-up. However, clinical and biochemical markers of PA (e.g. aldosterone, blood pressure) and metabolic markers did not show a consistent association with sleep changes. The degree of improvement in PSQI was significantly associated with the improvement of brief patients health questionnaire (PHQD) (p = 0.0151). Sleep disturbances seem not to be an independent risk factor for cardiovascular and metabolic problems in PA. They are strongly associated to depressive symptoms and maybe mediated by the same mineralocorticoid receptor circuits., Competing Interests: Declaration of competing interest Disclosure statement: The authors have nothing to disclose. Funding is mentioned in the manuscript., (Copyright © 2024. Published by Elsevier Ltd.)

Background: Diagnosing Cushing's syndrome (CS) is highly complex. As the diagnostic potential of urinary steroid metabolome analysis by gas chromatography-mass spectrometry (GC-MS) in combination with systems biology has not yet been fully exploited, we studied a large cohort of patients with CS., Methods: We quantified daily urinary excretion rates of 36 steroid hormone metabolites. Applying cluster analysis, we investigated a control group and 168 patients: 44 with Cushing's disease (CD) (70% female), 18 with unilateral cortisol-producing adrenal adenoma (83% female), 13 with primary bilateral macronodular adrenal hyperplasia (PBMAH) (77% female), and 93 ruled-out CS (73% female)., Findings: Cluster-Analysis delineated five urinary steroid metabotypes in CS. Metabotypes 1, 2 and 3 revealing average levels of cortisol and adrenal androgen metabolites included patients with exclusion of CS or and healthy controls. Metabotype 4 reflecting moderately elevated cortisol metabolites but decreased DHEA metabolites characterized the patients with unilateral adrenal CS and PBMAH. Metabotype 5 showing strong increases both in cortisol and DHEA metabolites, as well as overloaded enzymes of cortisol inactivation, was characteristic of CD patients. 11-oxygenated androgens were elevated in all patients with CS. The biomarkers THS, F, THF/THE, and (An + Et)/(11β-OH-An + 11β-OH-Et) correctly classified 97% of patients with CS and 95% of those without CS. An inverse relationship between 11-deoxygenated and 11-oxygenated androgens was typical for the ACTH independent (adrenal) forms of CS with an accuracy of 95%., Interpretation: GC-MS based urinary steroid metabotyping allows excellent identification of patients with endogenous CS and differentiation of its subtypes., Funding: The study was funded by the Else Kröner-Fresenius-Stiftung and the Eva-Luise-und-Horst-Köhler-Stiftung., Competing Interests: Declaration of interests Several authors received funding as mentioned below. FB has received travel support by Novo Nordisk. Furthermore, he has a patent (PCT/EP2022/053142) for biomarkers for the diagnosis and treatment of endocrine hypertension, and methods of identification thereof. He also participated on an advisory board for Bayer (indication outside of the topic of the manuscript). All the other authors have no conflict of interest to report., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)