Bassiony, Mohamed A. A.

Abstract Disclosure: B. Salama: None. M. Bassiony: None. J. Saini: None. P. Dogra: None. E. Atkinson: None. J. Larson: None. I. Vodanovic: None. D. Kastelan: None. D.A. Delivanis: None. J. Hubska: None. U. Ambroziak: None. I. Bancos: None. Background: Frailty is a clinical syndrome characterized by diminished physiological reserve and increased vulnerability to stressors. Patients with Mild Autonomous Cortisol Secretion (MACS) demonstrate a high prevalence of frailty, however, no data are available on the impact of management on frailty progression. Objectives: To determine the impact of conservative vs surgical management on and the progression of frailty in patients with MACS. Methods: We conducted a multicenter prospective cohort study of patients with (MACS), primary aldosteronism (PA), or non-functioning adrenal adenomas (NFA) between June 2020 and April 2025. Participants completed standardized frailty assessment (frailty index) at baseline and annually. Results: A total of 691 patients were included: 253 with MACS (median age 62 years, 73% women, 230 with NFA (median age 62 years, 67% women), and 208 with PA (median age 54 years, 50% women). At baseline, prevalence of frailty was highest patients with MACS (39%), followed by patients with PA (31%) and NFA (24%). Frailty was reassessed at 1 year post baseline in 189 patients with NFA (22% frail, median frailty index of 0.17) and 116 patients with MACS (27% frail, median frailty index of 0.16) managed conservatively, as well as in 108 patients with MACS treated with adrenalectomy (49% frail, median frailty score of 0.24). Conservatively treated patients with MACS and those treated with adrenalectomy had similar post-dexamethasone cortisol (median 2.9 mcg/dL vs 3.1 mcg/dL, p=0.396), but were older (median age 65 years vs 58 years, p=0.001) At one year follow up, patients with MACS treated with adrenalectomy demonstrated an improvement in frailty when compared to conservative management (delta frailty index: Est of −0.044, p = 0.004), after adjusting for age and sex. In contrast, when compared to conservatively managed patients with NFA, conservatively managed patients with MACS demonstrated worse frailty at 1 year follow up (delta frailty index: Est of 0.028, p = 0.013). Conclusion: In comparison to patients with NFA, conservatively managed patients with MACS demonstrated worse frailty at 1 year follow up. In contrast, adrenalectomy in patients with MACS led to improvement of frailty. Frailty index could be valuable to identify patients most likely to benefit from adrenalectomy. Patients with higher baseline frailty scores were more likely to undergo adrenalectomy, Presentation: Sunday, July 13, 2025

ABSTRACT Objective Data on bone health in patients with mild autonomous cortisol secretion (MACS) are limited and heterogenous. We sought to assess the prevalence of osteoporosis and symptomatic fragility fractures in patients with adrenal adenomas and hypercortisolism, and explore associations with the degree of cortisol excess and frailty. Design This multicenter cross ‐sectional study involved prospective enrollment of adults with nonfunctioning adrenal adenomas (NFA), MACS, Cushing syndrome (CS) and referent subjects without adrenal disorders during the study period (January 2019–September 2022). All participants completed a bone health questionnaire at enrollment and had dual‐energy X ‐ray absorptiometry bone mineral density assessment within 12‐months. Final analyses were adjusted for age, sex, body mass index, smoking status, alcohol use. Results Participants included 117 with NFA (median age 62 years, 80% women), 191 with MACS (median age 63 years, 74% women), 62 with CS (median age 50 years, 92% women), and 101 referent subjects (median age 59 years, 47% women). Both patients with CS (OR: 3.0, 95% CI: 1.1–8.3) and MACS (OR: 2.2, 95% CI: 1.9–4.9) had a higher prevalence of osteoporosis when compared to referents. Among patients with MACS, only those with post 1‐mg dexamethasone suppression test (post‐1mg‐DST) cortisol > 83 nmol/L had a higher prevalence of osteoporosis when compared to referents (OR: 3.2, 95% CI: 1.4–7.5) and NFA (OR: 2.2, 95% CI: 1.1–4.4). For clinical fragility fractures, only patients with CS showed an increased prevalence when compared to referents (OR: 6.1, 95% CI: 1.7–26.4) and NFA (OR: 3.8, 95% CI: 1.3–11.2). Prevalence of clinical fragility fractures was similar to referents in patients with MACS (OR: 1.8, 95% CI: 0.6–6.9) and NFA (OR: 1.5, 95% CI: 0.4–6.1), and was not associated with post‐1mg‐DST cortisol or frailty in the MACS and NFA groups. Conclusion Patients with CS, and those with MACS and post‐1mg‐DST cortisol > 83 nmol/L, exhibited a higher burden of osteoporosis. However, only CS was associated with an elevated risk of symptomatic fragility fractures.

Abstract Background Primary aldosteronism (PA) is a common treatable cause of hypertension. When caused by unilateral adrenal disease, it is potentially curable by adrenalectomy. However, specialized tests and other factors may delay definitive treatment. We assessed the time to adrenalectomy (TTA) for patients worldwide. Methods We conducted an international, multicentre retrospective study involving 39 centres from 15 countries to determine the total time taken from the first presentation to adrenalectomy and the intervals between each stage (screening, confirmatory, subtyping, and adrenalectomy). We included patients with PA who underwent adrenalectomy from January 1, 2018, to October 30, 2022. Post-adrenalectomy outcomes were evaluated using the Primary Aldosteronism Surgery Outcome criteria. We performed multivariable quantile and linear regression to identify characteristics associated with longer TTA. Results We included 861 patients, mean age 49.3 ± 11.1 years, and 44.5% were women. Overall median TTA was 13.5 months, IQR: 6.6-24.5. Median intervals were 0.1 months (screening), 1.0 months (confirmatory), 4.1 months (subtyping), and 4.3 months (adrenalectomy). On multivariable analysis, median TTA was increased by 5.4 months for each additional adrenal vein sampling (AVS) procedure. Other factors associated with longer TTA included adrenalectomy post-COVID-19, younger age, and additional screening tests. Compared with countries with routine AVS, those without AVS had a shorter TTA (6.1 vs 15.1 months, P < .001), but greater likelihood of absent/partial biochemical success post-adrenalectomy (27.4% vs 12.4%, P < .001). Conclusion Primary aldosteronism management is time-consuming worldwide, especially for subtyping tests and adrenalectomy. While omitting AVS reduces overall time, patients are less likely to achieve biochemical cure post-adrenalectomy.

BACKGROUND: Distinguishing between unilateral and bilateral primary aldosteronism, a major cause of secondary hypertension, is crucial due to different treatment approaches. While adrenal venous sampling is the gold standard, its invasiveness, limited availability, and often difficult interpretation pose challenges. This study explores the utility of circulating microRNAs (miRNAs) and machine learning in distinguishing between unilateral and bilateral forms of primary aldosteronism. METHODS: MiRNA profiling was conducted on plasma samples from 18 patients with primary aldosteronism taken during adrenal venous sampling on an Illumina MiSeq platform. Bioinformatics and machine learning identified 9 miRNAs for validation by reverse transcription real-time quantitative polymerase chain reaction. Validation was performed on a cohort consisting of 108 patients with known subdifferentiation. A 30-patient subset of the validation cohort involved both adrenal venous sampling and peripheral, the rest only peripheral samples. A neural network model was used for feature selection and comparison between adrenal venous sampling and peripheral samples, while a deep-learning model was used for classification. RESULTS: Our model identified 10 miRNA combinations achieving >85% accuracy in distinguishing unilateral primary aldosteronism and bilateral adrenal hyperplasia on a 30-sample subset, while also confirming the suitability of peripheral samples for analysis. The best model, involving 6 miRNAs, achieved an area under curve of 87.1%. Deep learning resulted in 100% accuracy on the subset and 90.9% sensitivity and 81.8% specificity on all 108 samples, with an area under curve of 86.7%. CONCLUSIONS: Machine learning analysis of circulating miRNAs offers a minimally invasive alternative for primary aldosteronism lateralization. Early identification of bilateral adrenal hyperplasia could expedite treatment initiation without the need for further localization, benefiting both patients and health care providers.

Abstract Disclosure: M. Bassiony: None. P. Dogra: None. L. Šambula: None. J. Saini: None. U. Ambroziak: None. D. Kastelan: None. I. Bancos: None. Background: Frailty is characterized by a multi-system decline and increased vulnerability to adverse health outcomes. We have recently shown that patients with mild autonomous cortisol secretion (MACS) demonstrate a higher prevalence of frailty compared to patients with nonfunctioning adrenal adenomas (NFA). Objective: To determine the impact of adrenalectomy versus conservative management in patients with MACS, as compared to patients with NFA. Design: Multi-center, prospective cohort study (2019-2023). Methods: Adults with NFA and MACS were assessed for frailty at baseline and 1-year post-adrenalectomy, or conservative follow up. Frailty was assessed by frailty index (FI) that encompasses 47 health variables (comorbidities, symptoms, daily living activities). Patients with FI >0.25 were classified as frail. MACS was defined as post-dexamethasone cortisol>1.8 mcg/dL. Results: Paired frailty assessments were performed in 226 patients (MACS:117 and NFA:109). At baseline, patients’ median age was 63 years (interquartile range, IQR 55-78) and 113 (50%) were women, without differences between patients with MACS vs NFA. In conservatively treated patients with NFA (n=106) and MACS (n=61), baseline FI (median 0.15 vs 0.16, p=0.190) and frailty prevalence (18% vs 20%, p=0.846) were similar between groups. At follow up, patients with MACS demonstrated an increase in FI (mean of 0.013 vs -0.018 in patients with NFA, p=0.009). In conservatively treated patients, and after excluding outliers, post-dexamethasone cortisol positively correlated with a higher delta FI at follow up (estimate 0.015, p=0.01). Compared to conservatively treated, patients with MACS treated with adrenalectomy (n=56) were younger (median age of 58 vs 67 years, p=0.0002), had a similar post-dexamethasone cortisol (median 3.4 vs 2.8 mcg/dL, p=0.853), a higher FI (median 0.26 vs 0.15, p value <0.0001) and frailty prevalence (52% vs 20% P=0.0003) at baseline. At follow up, patients with MACS treated with adrenalectomy showed improved FI when compared to conservatively treated (mean delta FI of -0.025 vs 0.014, p=0.017). Conclusions: Patients with MACS treated conservatively demonstrate an accelerated frailty when compared to patients with NFA. In contrast, frailty improves in patients with MACS treated with adrenalectomy. Presentation: 6/2/2024

Abstract Disclosure: B. Vekony: None. G. Nyiro: None. Z. Herold: None. J. Fekete: None. F. Ceccato: None. S. Gruber: None. L. Kurzinger: None. M. Parasiliti-Caprino: None. B. Szeredas: None. S. Syed Mohammed Nazri: None. V. Fell: None. M. Bassiony: None. E.A. Azizan: None. I. Bancos: None. F. Beuschlein: None. P. Igaz: None. Background: The differentiation of uni- and bilateral forms of primary aldosteronism (PA) is of pivotal clinical relevance. Whereas unilateral PA warrants surgical treatment, bilateral PA is treated by aldosterone antagonists. The most reliable way to differentiate these two entities is adrenal venous sampling (AVS) that is an invasive method with limited availability and requiring great expertise. Aim: To develop a circulating blood-borne microRNA-based approach using machine learning for the differentiation of uni- and bilateral PA. Methods: Circulating microRNA profiling on an Illumina MiSeq platform was performed on total RNA samples isolated from EDTA-anticoagulated blood specimens taken by AVS from 18 pairs of right and left suprarenal veins (10 uni-, 8 bilateral PA). Significantly differentially expressed microRNAs were analyzed by a neural network (90-10% learner-tester cross-validation simulation). From the top 29 significantly differentially expressed microRNAs, 9 were selected for validation by Taqman RT-qPCR on a separate cohort of 30 AVS-confirmed samples (15-15 uni- and bilateral forms) both on plasma samples from adrenal as well as from peripheral veins. The method was finally tested on another independent cohort of peripheral blood samples from 80 patients (40 uni- and 40 bilateral PA). Results: Regarding the 9 microRNAs selected for validation, microRNA abundance was non-significantly lower in peripheral samples compared to AVS samples. By analyzing peripheral plasma samples, ten combinations of 4-8 microRNAs from the pool of 9 microRNAs turned out to have maximal sensitivity and specificity values over 85 %. The best combination included 6 microRNAs with a sensitivity of 86.3 % and a specificity of 87.91 % (AUC = 0.871). The inclusion of further parameters such as imaging, potassium and renin levels did not improve the model’s performance. Conclusion: The analysis of circulating blood-borne microRNAs represents a minimally invasive and potentially reliable way of differentiating uni- and bilateral PA. If bilateral PA is confirmed by the model, no more localization efforts would be necessary thus simplifying the management of PA patients. This would be relevant both from the patient’s and a public health perspective. Presentation: 6/3/2024

Abstract Disclosure: B. Vekony: None. G. Nyiro: None. Z. Herold: None. J. Fekete: None. F. Ceccato: None. S. Gruber: None. L. Kurzinger: None. M. Parasiliti-Caprino: None. B. Szeredas: None. S.K. Nazri: None. V. Fell: None. M. Bassiony: None. E.A. Azizan: None. I. Bancos: None. F. Beuschlein: None. P. Igaz: None. Background: The differentiation of uni- and bilateral forms of primary aldosteronism (PA) is of pivotal clinical relevance. Whereas unilateral PA warrants surgical treatment, bilateral PA is treated by aldosterone antagonists. The most reliable way to differentiate these two entities is adrenal venous sampling (AVS) that is an invasive method with limited availability and requiring great expertise. Aim: To develop a circulating blood-borne microRNA-based approach using machine learning for the differentiation of uni- and bilateral PA. Methods: Circulating microRNA profiling on an Illumina MiSeq platform was performed on total RNA samples isolated from EDTA-anticoagulated blood specimens taken by AVS from 18 pairs of right and left suprarenal veins (10 uni-, 8 bilateral PA). Significantly differentially expressed microRNAs were analyzed by a neural network (90-10% learner-tester cross-validation simulation). From the top 29 significantly differentially expressed microRNAs, 9 were selected for validation by Taqman RT-qPCR on a separate cohort of 30 AVS-confirmed samples (15-15 uni- and bilateral forms) both on plasma samples from adrenal as well as from peripheral veins. The method was finally tested on another independent cohort of peripheral blood samples from 80 patients (40 uni- and 40 bilateral PA). Results: Regarding the 9 microRNAs selected for validation, microRNA abundance was non-significantly lower in peripheral samples compared to AVS samples. By analyzing peripheral plasma samples, ten combinations of 4-8 microRNAs from the pool of 9 microRNAs turned out to have maximal sensitivity and specificity values over 85 %. The best combination included 6 microRNAs with a sensitivity of 86.3 % and a specificity of 87.91 % (AUC = 0.871). The inclusion of further parameters such as imaging, potassium and renin levels did not improve the model’s performance. Conclusion: The analysis of circulating blood-borne microRNAs represents a minimally invasive and potentially reliable way of differentiating uni- and bilateral PA. If bilateral PA is confirmed by the model, no more localization efforts would be necessary thus simplifying the management of PA patients. This would be relevant both from the patient’s and a public health perspective. Presentation: 6/3/2024