Browsing by Author "Stell, Anthony (9746765300)"

Background: Benign adrenal tumors are commonly discovered on cross-sectional imaging. Mild autonomous cortisol secretion (MACS) is regularly diagnosed, but its effect on cardiometabolic disease in affected persons is ill defined. Objective: To determine cardiometabolic disease burden and steroid excretion in persons with benign adrenal tumors with and without MACS. Design: Cross-sectional study. Setting: 14 endocrine secondary and tertiary care centers (recruitment from 2011 to 2016). Participants: 1305 prospectively recruited persons with benign adrenal tumors. Measurements: Cortisol excess was defined by clinical assessment and the 1-mg overnight dexamethasone-suppression test (serum cortisol: <50 nmol/L, nonfunctioning adrenal tumor [NFAT]; 50 to 138 nmol/L, possible MACS [MACS-1]; >138 nmol/L and absence of typical clinical Cushing syndrome [CS] features, definitive MACS [MACS-2]). Net steroid production was assessed by multisteroid profiling of 24-hour urine by tandem mass spectrometry. Results: Of the 1305 participants, 49.7% had NFAT (n = 649; 64.1% women), 34.6% had MACS-1 (n = 451; 67.2% women), 10.7% had MACS-2 (n = 140; 73.6% women), and 5.0% had CS (n = 65; 86.2% women). Prevalence and severity of hypertension were higher in MACS-2 and CS than NFAT (adjusted prevalence ratios [aPRs] for hypertension: MACS-2, 1.15 [95% CI, 1.04 to 1.27], and CS, 1.37 [CI, 1.16 to 1.62]; aPRs for use of ≥3 antihypertensives: MACS-2, 1.31 [CI, 1.02 to 1.68], and CS, 2.22 [CI, 1.62 to 3.05]). Type 2 diabetes was more prevalent in CS than NFAT (aPR, 1.62 [CI, 1.08 to 2.42]) and more likely to require insulin therapy for MACS-2 (aPR, 1.89 [CI, 1.01 to 3.52]) and CS (aPR, 3.06 [CI, 1.60 to 5.85]). Urinary multisteroid profiling revealed an increase in glucocorticoid excretion from NFAT over MACS-1 and MACS-2 to CS, whereas androgen excretion decreased. Limitations: Cross-sectional design; possible selection bias. Conclusion: A cardiometabolic risk condition, MACS predominantly affects women and warrants regular assessment for hypertension and type 2 diabetes. © 2022 American College of Physicians. All rights reserved.

Objective: Individual patients' data sharing requires interoperability, security, ethical, and legal compliance. The aim was to assess the landscape and sharing capacities between endocrine researchers. Design: A standardized survey (SurveyMonkey®) with 67 questions was sent to European Network for the Study of Adrenal Tumors centers. Methods: Answers were counted as absolute numbers and percentages. Comparisons between inclusiveness target countries (ITC) and non-ITC (defined by Cooperation in Science & Technology Action) were performed using Fisher's exact test. Results: Seventy-three centers from 34 countries answered the survey. Electronic health record (EHR) systems are now the main source of data (90%). However, significant variability was reported, entailing >35 EHR providers, and variable data collected. Variable stakeholders' implication for enabling data sharing was reported, with more lawyers (P = .023), patient representatives (P < .001), ethicists (P = .002), methodologists (P = .023), and information technology experts (P < .001) in non-ITC centers. Implication of information technologies experts for data collection and sharing was underwhelming (33%). Funding for clinical research was higher in non-ITC than in ITC for clinical trials (P = .01) and for registry-based and cohort studies (P = .05). However, for retrospective studies addressing a specific clinical question, the funding was either very low (<10%) or nonexistent for both ITC and non-ITC (37% and 46%, respectively), with no dedicated funding for information technology (86%) and ethical and regulatory aspects (88%). Conclusions: In the absence of dedicated funding for retrospective research, current requirements for data sharing are obstacles. © The Author(s) 2025. Published by Oxford University Press on behalf of European Society of Endocrinology.

Objective: Individual patients' data sharing requires interoperability, security, ethical, and legal compliance. The aim was to assess the landscape and sharing capacities between endocrine researchers. Design: A standardized survey (SurveyMonkey®) with 67 questions was sent to European Network for the Study of Adrenal Tumors centers. Methods: Answers were counted as absolute numbers and percentages. Comparisons between inclusiveness target countries (ITC) and non-ITC (defined by Cooperation in Science & Technology Action) were performed using Fisher's exact test. Results: Seventy-three centers from 34 countries answered the survey. Electronic health record (EHR) systems are now the main source of data (90%). However, significant variability was reported, entailing >35 EHR providers, and variable data collected. Variable stakeholders' implication for enabling data sharing was reported, with more lawyers (P = .023), patient representatives (P < .001), ethicists (P = .002), methodologists (P = .023), and information technology experts (P < .001) in non-ITC centers. Implication of information technologies experts for data collection and sharing was underwhelming (33%). Funding for clinical research was higher in non-ITC than in ITC for clinical trials (P = .01) and for registry-based and cohort studies (P = .05). However, for retrospective studies addressing a specific clinical question, the funding was either very low (<10%) or nonexistent for both ITC and non-ITC (37% and 46%, respectively), with no dedicated funding for information technology (86%) and ethical and regulatory aspects (88%). Conclusions: In the absence of dedicated funding for retrospective research, current requirements for data sharing are obstacles. © The Author(s) 2025. Published by Oxford University Press on behalf of European Society of Endocrinology.

Background: Cross-sectional imaging regularly results in incidental discovery of adrenal tumours, requiring exclusion of adrenocortical carcinoma (ACC). However, differentiation is hampered by poor specificity of imaging characteristics. We aimed to validate a urine steroid metabolomics approach, using steroid profiling as the diagnostic basis for ACC. Methods: We did a prospective multicentre study in adult participants (age ≥18 years) with newly diagnosed adrenal masses. We assessed the accuracy of diagnostic imaging strategies based on maximum tumour diameter (≥4 cm vs <4 cm), imaging characteristics (positive vs negative), and urine steroid metabolomics (low, medium, or high risk of ACC), separately and in combination, using a reference standard of histopathology and follow-up investigations. With respect to imaging characteristics, we also assessed the diagnostic utility of increasing the unenhanced CT tumour attenuation threshold from the recommended 10 Hounsfield units (HU) to 20 HU. Findings: Of 2169 participants recruited between Jan 17, 2011, and July 15, 2016, we included 2017 from 14 specialist centres in 11 countries in the final analysis. 98 (4·9%) had histopathologically or clinically and biochemically confirmed ACC. Tumours with diameters of 4 cm or larger were identified in 488 participants (24·2%), including 96 of the 98 with ACC (positive predictive value [PPV] 19·7%, 95% CI 16·2–23·5). For imaging characteristics, increasing the unenhanced CT tumour attenuation threshold to 20 HU from the recommended 10 HU increased specificity for ACC (80·0% [95% CI 77·9–82·0] vs 64·0% [61·4–66.4]) while maintaining sensitivity (99·0% [94·4–100·0] vs 100·0% [96·3–100·0]; PPV 19·7%, 16·3–23·5). A urine steroid metabolomics result indicating high risk of ACC had a PPV of 34·6% (95% CI 28·6–41·0). When the three tests were combined, in the order of tumour diameter, positive imaging characteristics, and urine steroid metabolomics, 106 (5·3%) participants had the result maximum tumour diameter of 4 cm or larger, positive imaging characteristics (with the 20 HU cutoff), and urine steroid metabolomics indicating high risk of ACC, for which the PPV was 76·4% (95% CI 67·2–84·1). 70 (3·5%) were classified as being at moderate risk of ACC and 1841 (91·3%) at low risk (negative predictive value 99·7%, 99·4–100·0). Interpretation: An unenhanced CT tumour attenuation cutoff of 20 HU should replace that of 10 HU for exclusion of ACC. A triple test strategy of tumour diameter, imaging characteristics, and urine steroid metabolomics improves detection of ACC, which could shorten time to surgery for patients with ACC and help to avoid unnecessary surgery in patients with benign tumours. Funding: European Commission, UK Medical Research Council, Wellcome Trust, and UK National Institute for Health Research, US National Institutes of Health, the Claire Khan Trust Fund at University Hospitals Birmingham Charities, and the Mayo Clinic Foundation for Medical Education and Research. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Background: Cross-sectional imaging regularly results in incidental discovery of adrenal tumours, requiring exclusion of adrenocortical carcinoma (ACC). However, differentiation is hampered by poor specificity of imaging characteristics. We aimed to validate a urine steroid metabolomics approach, using steroid profiling as the diagnostic basis for ACC. Methods: We did a prospective multicentre study in adult participants (age ≥18 years) with newly diagnosed adrenal masses. We assessed the accuracy of diagnostic imaging strategies based on maximum tumour diameter (≥4 cm vs <4 cm), imaging characteristics (positive vs negative), and urine steroid metabolomics (low, medium, or high risk of ACC), separately and in combination, using a reference standard of histopathology and follow-up investigations. With respect to imaging characteristics, we also assessed the diagnostic utility of increasing the unenhanced CT tumour attenuation threshold from the recommended 10 Hounsfield units (HU) to 20 HU. Findings: Of 2169 participants recruited between Jan 17, 2011, and July 15, 2016, we included 2017 from 14 specialist centres in 11 countries in the final analysis. 98 (4·9%) had histopathologically or clinically and biochemically confirmed ACC. Tumours with diameters of 4 cm or larger were identified in 488 participants (24·2%), including 96 of the 98 with ACC (positive predictive value [PPV] 19·7%, 95% CI 16·2–23·5). For imaging characteristics, increasing the unenhanced CT tumour attenuation threshold to 20 HU from the recommended 10 HU increased specificity for ACC (80·0% [95% CI 77·9–82·0] vs 64·0% [61·4–66.4]) while maintaining sensitivity (99·0% [94·4–100·0] vs 100·0% [96·3–100·0]; PPV 19·7%, 16·3–23·5). A urine steroid metabolomics result indicating high risk of ACC had a PPV of 34·6% (95% CI 28·6–41·0). When the three tests were combined, in the order of tumour diameter, positive imaging characteristics, and urine steroid metabolomics, 106 (5·3%) participants had the result maximum tumour diameter of 4 cm or larger, positive imaging characteristics (with the 20 HU cutoff), and urine steroid metabolomics indicating high risk of ACC, for which the PPV was 76·4% (95% CI 67·2–84·1). 70 (3·5%) were classified as being at moderate risk of ACC and 1841 (91·3%) at low risk (negative predictive value 99·7%, 99·4–100·0). Interpretation: An unenhanced CT tumour attenuation cutoff of 20 HU should replace that of 10 HU for exclusion of ACC. A triple test strategy of tumour diameter, imaging characteristics, and urine steroid metabolomics improves detection of ACC, which could shorten time to surgery for patients with ACC and help to avoid unnecessary surgery in patients with benign tumours. Funding: European Commission, UK Medical Research Council, Wellcome Trust, and UK National Institute for Health Research, US National Institutes of Health, the Claire Khan Trust Fund at University Hospitals Birmingham Charities, and the Mayo Clinic Foundation for Medical Education and Research. © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license