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The recent development of quantitative steroid metabolome profiling could be of interest for the positive diagnosis of mild autonomous cortisol-secreting adenoma (MACS). The aim of the study is to develop a predictive model of MACS status or non-secreting adenoma (NSA) based on a panel of 19 serum steroids and three clinico-biological parameters (body mass index or BMI, fasting glycaemia, blood pressure) and to estimate its performance for the diagnosis of MACS in a cohort of patients followed in the endocrinology department of Bordeaux University Hospital.
Steroid assays are a central element in the aetiological diagnosis of adrenal tumors, but they are still limited to single assays (e.g. cortisol in Cushing's syndrome, aldosterone in primary hyperaldosteronism, etc.) which only partially reflect the endocrine disturbances caused by adrenal pathologies. The recent development of quantitative profiling of the circulating steroidome could lead to a reconsideration of the role of these single steroid assays in endocrinology. This involves simultaneously measuring of multiple steroids from a single blood or urine sample using liquid chromatography-mass spectrometry (LC-MS/MS). The steroid fingerprint obtained enables adrenal masses to be better characterised. Using machine learning methods, a predictive model of MACS status or NSA based on a panel of 19 serum steroids measured by LC-MS/MS and three clinico-biological parameters (body mass index or BMI, fasting glycaemia, blood pressure) will be develop. The blood sample used for the steroid assay will be taken at inclusion during a blood test carried out as part of routine care. Clinical, biological and morphological data obtained during the 24 months of study follow-up and as part of routine care will be collected retrospectively. All assays will be carried out in the hormonology laboratory of Bordeaux University Hospital (BUH) by LC-MS/MS. The development of the MACS/ANS status prediction model will be carried out by the BUH Methodological Support Unit for Clinical and Epidemiological Research (USMR). The performance and prognostic value of this new tool will be estimated in a cohort of patients followed in the BUH endocrinology department.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MACS group | Mild autonomous cortisol-secreting adenoma group must at least have two elevated DST1mg (Cortisol > 50 nmol/L or 1.8 µg/dL) and a plasma ACTH level ≤ 20 pg/mL | ||
| ANS group | Non-secreting adenoma must have a normal DST1mg (Cortisol ≤ 50 nmol/L or 1.8 µg/dL). | ||
| Control group | Control group is patients followed in the endocrinology department, free of any known adrenal pathology and with a DST1mg test < 50nmol/L and matched for age and sex to patients in groups 1 and 2. |
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| Measure | Description | Time Frame |
|---|---|---|
| Assessment of the prediction model's performance | Performance will be evaluated by internal validation using bootstrap sampling of 1,000 samples, and by the discrimination of the model by the ROC curve. | 18 months after inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between blood steroid levels and blood pressure | The correlation between blood steroid levels and blood pressure will be evaluated in patients with MACS by correlating blood steroid concentrations and blood pressure thanks to ambulatory blood pressure monitoring which record 3 measurements during 3 consecutive days, and calculate after an average systolic and diastolic BP | 18 months after inclusion |
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Inclusion Criteria:
MACS and ANS group:
Diagnostic criteria (determined after blood sampling) for continuation of the study:
MACS group:
ANS group:
- Normal DST1mg (Cortisol ≤ 50 nmol/L or 1.8 µg/dL). The definition criteria for MACS and ANS were based on the latest recommandations of learned societies.
Controls group:
Non -inclusion criteria:
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The feasibility of the project is ensured by active and ongoing collaboration between:
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Amandine FERRIERE | Contact | 05 57 57 64 24 | +33 | amandine.ferriere@chu-bordeaux.fr |
| Julie Brossaud | Contact | 05.57.82.15.01 | +33 | julie.brossaud@chu-bordeaux.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hôpital du Haut-Lévêque | Recruiting | Pessac | 33604 | France |
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| ID | Term |
|---|---|
| D004700 | Endocrine System Diseases |
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Blood
| Correlation between blood steroid levels and Body Mass Index | The correlation between blood steroid levels and Body Mass Index (BMI) will be evaluated in patients with MACS by correlating blood steroid concentrations obtain by dosages and calculated BMI (weight/size²). | 18 months after inclusion day |
| Correlation between blood steroid levels and carbohydrate tolerance | The correlation between blood steroid levels and carbohydrate tolerance will be evaluated in patients with MACS by correlating blood steroid concentrations and fasting blood glucose dosage, Hba1c, blood glucose levels 2 hours after glucose tolerance test. | 18 months after inclusoin day |
| Correlation between blood steroid levels and bone mineral density | The correlation between blood steroid levels and bone mineral density will be evaluated in patients with MACS by correlating blood steroid concentrations and bone mineral density thanks to bone densitometry. | 18 months after inclusion day |
| Correlation between blood steroid levels and bone architecture | The correlation between blood steroid levels and bone architecture will be evaluated in patients with MACS by correlating blood steroid concentrations and bone architecture thanks to Trabecular Bone Score (TBS). | 18 months after inclusion day |