Tumor enlargement in adrenal incidentaloma is related to glaucoma: a new prognostic feature?

PURPOSE: The uncertainty on the management of small adrenal incidentalomas (AIs) still represents a challenge in real clinical practice. Considering the lack of knowledge on risk factors implicated in tumour enlargement, the aim of this study was to identify risk factors for morphological changes during follow-up of adrenal incidentalomas (AIs). METHODS: We retrospectively evaluated demographic, clinical, radiological and biochemical parameters of 153 AIs (2007-2021). Patients with histological diagnosis of metastases or pheochromocytoma were excluded. To detect risk factors for tumor enlargement, diseases associated with AIs were included if their prevalence was higher than 2%. Patients were divided into two groups (A: radiological stability; B: tumor enlargement defined as > 5 mm/year in the main diameter). RESULTS: Group A: 89.5% and group B: 10.5%, mean follow-up 38.6 ± 6.9 months (range 6-240). Tumor enlargement when occurred was within 36 months of follow-up. In group B high body weight (p < 0.03), dehydroepiandrosterone sulfate (DHEAS) (p < 0.05) and direct renin concentration (DRC) (p < 0.04) were higher than group A, while aldosterone levels were lower; moreover, considering comorbidities, glaucoma and dysglycemia (p < 0.01 for both) had higher prevalence in group B. Glaucoma and dysglycemia were independent predictors of enlargement. Patients affected by glaucoma, atrial fibrillation, dysglycemia had a lower dimensional change-free survival than non-affected. CONCLUSIONS: Glaucoma might be a novel risk factor for AI enlargement. If subtle undetectable cortisol hypersecretion has a role is a topic for further research.

Transition in endocrinology: predictors of drop-out of a heterogeneous population on a long-term follow-up.

PURPOSE: To evaluate: (1) clinical and epidemiological characteristics of outpatients transitioned from Pediatrics Endocrine (PED) to Adult Endocrine Department (AED) in a tertiary center; (2) transition process features, and predictors of drop-out. METHODS: Demographic, clinical, and transition features of 170 consecutive patients with pediatric onset of chronic endocrine or metabolic disease (excluded type 1 diabetes) who transitioned from PED to AED (2007-2020) were retrospective evaluated. RESULTS: The age at transition was 18.4 ± 4 years (F:M = 1.2: 1), and mean follow-up 2.8 years. The population was heterogeneous; the most (69.4%) was affected by one, 24.1% by two or more endocrine diseases, 6.5% were followed as part of a cancer survivor's surveillance protocol. The comorbidity burden was high (37, 20.6, and 11.2% of patients had 2, 3, 4, or more diseases). The number of visits was associated with the number of endocrine diseases and the type of them. Adherent subjects had a higher number of comorbidities. Thyroid disorders and more than one comorbidity predicted the adherence to follow-up. Having performed one visit only was predictive of drop-out, regardless of the pathology at diagnosis. CONCLUSION: This is the first study that analyzed a specific transition plan for chronic endocrine diseases on long-term follow-up. The proposed "one-size-fits-all model" is inadequate in responding to the needs of patients. A structured transition plan is an emerging cornerstone.

First but not second postoperative day growth hormone assessments as early predictive tests for long-term acromegaly persistence.

PURPOSE: Postoperative assessment of acromegaly activity is typically performed at least 3 months after neurosurgery (NS). Few studies have evaluated the use of early postoperative growth hormone (GH) levels as a test to predict short- and long-term remission of acromegaly. Our objective was to evaluate the diagnostic performance of serum random GH on a postoperative day one (D1-rGH) and two (D2-rGH), particularly in predicting long-term disease persistence. MATERIALS AND METHODS: Forty-one subjects with acromegaly who were undergoing NS were enrolled (mean age ± SD 47.4 ± 13.1 years at diagnosis; women 54%; macroadenomas 71%). The final assessment of disease activity was performed one year after NS. ROC curves were used to evaluate the diagnostic performance of D1-rGH and D2-rGH. RESULTS: After a 1-year follow-up, the overall remission rate was 55%. ROC analysis identified an optimal D1-rGH cut-off value of 2.1 ng/mL for diagnosing long-term disease persistence (55.6% SE; 90.9% SP). The cut-off point became 2.5 ng/mL after maximizing specificity for disease persistence (yielding a 100% positive predictive value) and 0.3 ng/mL after maximizing sensitivity for disease remission. The optimal D2-rGH cut-off value was 0.6 ng/mL (81.8% SE; 50% SP); the cut-off point became 2.9 ng/mL after maximizing specificity and 0.1 ng/mL after maximizing sensitivity, with no clinical utility. CONCLUSIONS: D1-rGH could be a highly specific test for the early diagnosis of long-term acromegaly persistence, which is predicted by a value > 2.5 ng/mL with a great degree of certainty. The diagnostic performance of D2-rGH was insufficient. Further research is required to validate these preliminary results prior to modifying the postoperative management of acromegaly.