Acromegaly increases depressive symptoms and reduces quality of life of cohabitants.

PURPOSE: To assess how living with patients with acromegaly affects people's psychology and quality of life (QoL). METHODS: Acromegaly patients and their cohabitants included in this study. Patients were administered Acromegaly Quality of Life Questionnaire (AcroQoL), Beck Anxiety Inventory (BAI), and Beck Depression Inventory (BDI). Cohabitants were administered quality of life questionnaire (SF-36), BAI, BDI, and Zarit Caregiver Burden Interview (ZBI). RESULTS: This study included 84 patients with acromegaly and 84 cohabitants. Sixty-nine patients (n = 84, 82.1%) had an acromegalic appearance. Cohabitants who were affected by the acromegalic appearance had higher BAI, BDI, and ZBI scores than those who were not affected (p < 0.001 for all). Cohabitants who were affected by the acromegalic appearance had a significantly lower SF-36 score (p = 0.015). The BAI (r=-0.535, p < 0.001), BDI (r=-0.592, p < 0.001), and ZBI (r=-0.465, p < 0.001) scores of the cohabitants showed a negative correlation with AcroQoL. SF-36 scores showed correlation with AcroQoL (r = 0.387, p < 0.001). CONCLUSION: The chronic process of acromegaly and the external appearance of patients with this disease can negatively affect both the patients and the people living with them. Physicians being aware of this effect and taking counteractive measures may contribute positively to the course of acromegaly.

Do Histologically Aggressive Subtypes of Papillary Thyroid Microcarcinoma have Worse Clinical Outcome than Non-Aggressive Papillary Thyroid Microcarcinoma Subtypes? A Multicenter Cohort Study.

Histologically aggressive micropapillary thyroid carcinomas (PTMC) subtypes are thought to be associated with an aggressive clinical course. However, evidence for unfavorable clinical outcomes in patients with aggressive PTMC subtypes is not clear. In this study, we intended to determine the difference in clinical outcomes between patients with aggressive and non-aggressive PTMC subtypes. In this multicenter cohort study, the computer-recorded clinical and histopathological data of patients who underwent thyroid surgery between January 2000 - January 2021 in 9 referral centers and were diagnosed as PTMC were analyzed. A total of 1585 patients [female 1340 (84.5%), male 245 (15.5%), mean age 47.9±11.63 years), with a mean follow-up time of 66.55±37.16 months], were included in the study. Ninety-eight cases were diagnosed as aggressive and 1487 as non-aggressive subtypes. Persistent/recurrent disease was observed in 33 (33.7% )and 41 (2.8%) patients with aggressive and non-aggressive subtypes (p<0.001). Diseases-free survival rates were markedly lower in patients with aggressive than in those with non-aggressive PTMC subtypes (66.3 vs. 94.8%, log-rank p<0.001). Moreover, in multivariate analysis, aggressive histology was an independent predictor of persistent/recurrent disease, after controlling for other contributing factors (HR 5.78, 95% CI 3.32-10, p<0.001). Patients with aggressive PTMC subtypes had higher rates of incomplete biochemical and structural response than patients with non-aggressive subtypes as well (p<0.001). Aggressive PTMC subtypes share many characteristics with histologically identical tumors>1 cm in size. Therefore, the histopathological subtype of PTMC should be taken into consideration to tailor a personalized management plan.

Altered thalamic volume in patients with mild autonomous cortisol secretion: a structural brain MRI study.

PURPOSE: To compare thalamic volume and cognitive functions of patients with mild autonomous cortisol secretion (MACS) with control subjects and patients with overt Cushing's syndrome (CS). METHODS: In this cross-sectional study, volumes of regions of interest were assessed using 3 T magnetic resonance imaging and a voxel-based morphometry approach in 23 patients with MACS, 21 patients with active CS, 27 patients with CS in remission, and 21 control subjects. Cognitive functions were assessed using validated questionnaires. RESULTS: Patients with MACS had smaller left thalamic (F = 3.8, p = 0.023), left posterior thalamic (F = 4.9, p = 0.01), left medial thalamic (F = 4.7, p = 0.028), and right lateral thalamic (F = 4.1, p = 0.025) volumes than control subjects. Patients with active CS also had smaller left thalamic (F = 3.8, p = 0.044), left posterior thalamic (F = 4.9, p = 0.007), left medial thalamic (F = 4.7, p = 0.006), and right lateral thalamic (F = 4.1, p = 0.042) volumes compared to controls. Patients with CS in remission had smaller left medial (F = 4.7, p = 0.030) and right lateral thalamic (F = 4.1, p = 0.028) volumes than controls. Neuropsychological tests showed no difference between the groups. CONCLUSION: MACS may decrease thalamic volume.

Changing presentation of acromegaly in half a century: a single-center experience.

OBJECTIVE: Investigate the changes in the characteristics of presentation, in patients with acromegaly over a period of approximately half a century. METHODS: The medical records of patients diagnosed with acromegaly between 1980 and 2023 were retrospectively reviewed. The collected data were examined to assess any changes observed over the years and a comparison was made between the characteristics of patients diagnosed in the last decade and those diagnosed in previous years. RESULTS: A total of 570 patients were included in the study, 210 (37%) patients were diagnosed in the last decade. Patients diagnosed before 2014 had longer symptom duration before diagnosis, advanced age, larger pituitary adenomas, higher incidence of cavernous sinus invasion, and higher GH and IGF-1 levels than those diagnosed last decade (p < 0.05, for all). Furthermore, the patients diagnosed before 2014 had a lower rate of surgical remission (p < 0.001), and a higher prevalence of comorbidities such as diabetes, hypertension, colon polyps, and thyroid cancer at the time of diagnosis (p < 0.05, for all). CONCLUSION: There may be a trend for earlier detection of patients with acromegaly.

Risk of impulse control disorders in patients with Cushing's disease: do not blame cabergoline but do not give up caution.

PURPOSE: To asses risk of new-onset impulse control disorders (ICDs) in patients with Cushing's disease (CD) who initiated cabergoline (CBG) and to determine frequency of ICDs in CBG-treated patients with CD. METHODS: This naturalistic observational study had prospective and cross-sectional arms which included patients at five referral centers based in Istanbul. Patients who were scheduled for CBG were assigned to prospective arm. These patients underwent neuropsychological tests (Barratt Impulsiveness Scale, Minnesota Impulsive Disorders Interview, Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease-Rating Scale, Go/No-Go Task, Iowa Gambling Task, and Short Penn Continuous Performance Test) for assessment of impulsivity and psychiatric evaluations at baseline, 3, 6, and 12 months of CBG treatment. Impulsivity and new-onset ICDs were prospectively assessed. Patients with CD with current CBG treatment for ≥ 3 months and matched CBG-naïve patients with CD were included in cross-sectional arm. These patients underwent the same neuropsychological and psychiatric assessments. The impulsivity and frequency of ICDs were compared between CBG-treated and CBG-naïve patients with CD. RESULTS: The follow-up duration of prospective cohort (n = 14) was 7.3 ± 2.3 months. One patient developed major depressive episode and another patient developed compulsive gambling after CBG. We observed no significant changes in impulsivity scores during follow-up. In cross-sectional arm, CBG-treated (n = 34) and CBG-naïve patients (n = 34) were similar in impulsivity scores and frequency of ICDs [3 patients (8.8%) vs. 2 patients (5.9%) respectively, p = 1.0]. CONCLUSION: CBG-treated patients with CD appeared to have a low risk of ICDs, suggesting that CBG still holds promise as a safe agent in CD.

The Importance of DHEA-S Levels in Cushing's Syndrome; Is There a Cut-off Value in the Differential Diagnosis?

The purpose of this study was to determine possible cut-off levels of basal DHEA-S percentile rank in the differential diagnosis of patients with Cushing's syndrome (CS) with ACTH levels in the gray zone and normal DHEA-S levels. In this retrospective study including 623 pathologically confirmed CS, the DHEA-S percentile rank was calculated in 389 patients with DHEA-S levels within reference interval. The patients were classified as group 1 (n=265 Cushing's disease; CD), group 2 (n=104 adrenal CS) and group 3 (n=20 ectopic ACTH syndrome).ROC-curve analyses were used to calculate the optimal cut-off level of DHEA-S percentile rank in the reference interval in the differential diagnosis of CS, and the effectiveness of this cut-off level in the identification of the accurate etiology of CS was assessed in patients who were in gray zone according to their ACTH levels. The DHEA-S percentile rank in the reference interval were significantly lower in group 2 compared to the other two groups (p<0.001), while group 1 and group 3 had similar levels. The optimal cut-off level of DHEA-S percentile rank in the reference interval providing differential diagnosis between group 1 and group 2 was calculated as 19.5th percentile (80.8% sensitivity, 81.5% specificity) and the level demonstrated the accurate etiology in 100% of CD and 76% of adrenal CS patients who were in the gray zone. This study showed that the cut-off value of DHEA-S level less than 20% of the reference interval could be used for differential diagnosis of CD and adrenal CS with high sensitivity and specificity, and it should be taken into the initial evaluation.

Fertility Desire and Motivation Among Individuals with Gender Dysphoria: A Comparative Study.

Despite receiving Gender-Affirming Hormone Therapy or Gender-Affirming Surgery, which may adversely impact their fertility, people with Gender Dysphoria (GD) may desire to form families. In this study, we aimed to quantitatively display fertility desire from the perspective of these individuals, despite all the legal challenges they face. The single center, cross-sectional comparative study included individuals with GD and cisgender volunteers. A Sociodemographic Data Form, the Fertility Desire Data Form, the Childbearing Motivations Scale and the Fertility Desire Scale were used. Of the 414 participants, 171 were individuals with GD (110 FtM; 61 MtF) and 243 were cisgender volunteers (142 cis-males; 101 cis-females). While 22% of the people with GD stated that they had regrets about not undergoing fertility preservation, 16% stated that they would like this process if it were legal. People with GD, particularly MtF, want to have children more than cisgenders. Moreover, people with MtF exhibited less negative motivations toward becoming parents, despite having reservations regarding the socioeconomic aspect of parenthood. Our findings indicate that fertility desire in people with GD is not less in comparison to cisgender people. Healthcare professionals should not forget to offer fertility preservation options as part of clinical practice before Gender-Affirming Therapy.

TransCOVID: Does Gender-Affirming Hormone Therapy Play a Role in Contracting COVID-19?

Based on the possible effects of androgens on the course of COVID-19, it can be posited that Gender-Affirming Hormone Therapy (GAHT) may affect the course of the disease in people with GD. We aimed to investigate the relationship between GAHT and contracting COVID-19, as well as the severity of the disease in individuals with Gender Dysphoria (GD). The single center, cross-sectional, web-based survey was completed by people with GD who received GAHT. The questionnaire contained three parts: a sociodemographic data form; a GAHT data form; a COVID-19-related data form. Of the 238 participants, 179 were individuals with female-to-male (FtM) and 59 male-to-female (MtF) GD. We detected that the risk of contracting COVID-19 increased 3.46 times in people with FtM GD, who had received testosterone therapy, in comparison to people with MtF GD, who received estrogen and anti-androgen therapy. Additionally, people with FtM GD who contracted COVID-19 had received longer testosterone therapy when compared to those who did not contract COVID-19. Our findings indicate that individuals with FtM GD who receive testosterone treatment within the scope of GAHT are at higher risk of contracting COVID-19 and that the clinicians who follow-up on GAHT should be more careful about this issue.

Problem-solving therapy can reduce psychological distress in patients with Cushing's disease: a randomized controlled trial.

OBJECTIVE: To evaluate the effects of online group problem-solving therapy (PST) for reducing negative problem orientation (NPO), psychological distress, and increasing quality of life in patients with Cushing's disease (CD). METHODS: In this randomized trial, we allocated 55 eligible patients to either PST (n = 28) or treatment as usual (TAU) (n = 27) groups. The analyses primarily relied on intent-to-treat (ITT) principle and were repeated with intervention completers (per-protocol analyses). Social problem-solving inventory-revised short form, Beck Depression Inventory (BDI), General Health Questionnaire-12 (GHQ-12), Perceived Stress Scale (PSS), The Satisfaction with Life Scale, and Cushing's Quality of Life scale were used. Pre-test, post-test, and follow-up measures were obtained. Linear mixed models were used to compare PST and treatment as usual (TAU) groups across time. RESULTS: Of the total 55 patients with CD, the mean age was 46 ± 12 years, 49 patients (89%) were female, and 41 patients (74.5%) were in remission. The patients within the PST and TAU groups were similar in terms of age, sex, and disease activity. ITT analyses showed a greater reduction of NPO scores in patients who received PST as compared to patients who received usual care (df = 45.9, p = 0.029, Cohen's d = 0.47). The decrease in NPO was sustained at follow-up (mean difference: - 2.2, p = 0.007). Results of the ITT analyses revealed no superior benefits of the intervention for psychological distress. However, per-protocol analyses demonstrated that PST provided a greater decrease in BDI, PSS, and GHQ-12 scores. CONCLUSION: PST may decrease NPO and improve the psychological well-being of patients with CD.

Machine learning as a clinical decision support tool for patients with acromegaly.

OBJECTIVE: To develop machine learning (ML) models that predict postoperative remission, remission at last visit, and resistance to somatostatin receptor ligands (SRL) in patients with acromegaly and to determine the clinical features associated with the prognosis. METHODS: We studied outcomes using the area under the receiver operating characteristics (AUROC) values, which were reported as the performance metric. To determine the importance of each feature and easy interpretation, Shapley Additive explanations (SHAP) values, which help explain the outputs of ML models, are used. RESULTS: One-hundred fifty-two patients with acromegaly were included in the final analysis. The mean AUROC values resulting from 100 independent replications were 0.728 for postoperative 3 months remission status classification, 0.879 for remission at last visit classification, and 0.753 for SRL resistance status classification. Extreme gradient boosting model demonstrated that preoperative growth hormone (GH) level, age at operation, and preoperative tumor size were the most important predictors for early remission; resistance to SRL and preoperative tumor size represented the most important predictors of remission at last visit, and postoperative 3-month insulin-like growth factor 1 (IGF1) and GH levels (random and nadir) together with the sparsely granulated somatotroph adenoma subtype served as the most important predictors of SRL resistance. CONCLUSIONS: ML models may serve as valuable tools in the prediction of remission and SRL resistance.

Acromegaly is associated with a distinct oral and gut microbiota.

PURPOSE: Our aim was to investigate the changes in the composition of oral and gut microbiota in patients with newly diagnosed acromegaly and their relationship with IGF-1 levels. METHODS: Oral and fecal samples were collected from patients with newly diagnosed acromegaly without comorbidities and from healthy controls. The composition of the microbiota was analyzed. The general characteristics, oral and stool samples of the patients and healthy control subjects were compared. The changes in microbiota composition in both habitats, their correlations and associations with IGF-1 were statistically observed using machine learning models. RESULTS: Fifteen patients with newly diagnosed acromegaly without comorbidities and 15 healthy controls were included in the study. There was good agreement between fecal and oral microbiota in patients with acromegaly (p = 0.03). Oral microbiota diversity was significantly increased in patients with acromegaly (p < 0.01). In the fecal microbiota, the Firmicutes/Bacteroidetes ratio was lower in patients with acromegaly than in healthy controls (p = 0.011). Application of the transfer learned model to the pattern of microbiota allowed us to identify the patients with acromegaly with perfect accuracy. CONCLUSIONS: Patients with acromegaly have their own oral and gut microbiota even if they do not have acromegaly-related complications. Moreover, the excess IGF-1 levels could be correctly predicted based on the pattern of the microbiome.

Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging­derived texture features.

PURPOSE: Hypophysitis is a heterogeneous condition that includes inflammation of the pituitary gland and infundibulum, and it can cause symptoms related to mass effects and hormonal deficiencies. We aimed to evaluate the potential role of machine learning methods in differentiating hypophysitis from non-functioning pituitary adenomas. METHODS: The radiomic parameters obtained from T1A-C images were used. Among the radiomic parameters, parameters capable of distinguishing between hypophysitis and non-functioning pituitary adenomas were selected. In order to avoid the effects of confounding factors and to improve the performance of the classifiers, parameters with high correlation with each other were eliminated. Machine learning algorithms were performed with the combination of gray-level run-length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray-level co-occurrence entropy. RESULTS: A total of 34 patients were included, 17 of whom had hypophysitis and 17 had non-functioning pituitary adenomas. Among the 38 radiomics parameters obtained from post-contrast T1-weighted images, 10 tissue features that could differentiate the lesions were selected. Machine learning algorithms were performed using three selected parameters; gray level run length matrix-low gray level run emphasis, gray-level co-occurrence matrix-correlation, and gray level co-occurrence entropy. Error matrices were calculated by using the machine learning algorithm and it was seen that support vector machines showed the best performance in distinguishing the two lesion types. CONCLUSIONS: Our analysis reported that support vector machines showed the best performance in distinguishing hypophysitis from non-functioning pituitary adenomas, emphasizing the importance of machine learning in differentiating the two lesions.

Can Age at Diagnosis and Sex Improve the Performance of the American Thyroid Association Risk Stratification System for Prediction of Structural Persistent and Recurrent Disease in Patients With Differentiated Thyroid Carcinoma? A Multicenter Study.

OBJECTIVE: Although the age at diagnosis has been suggested as a major determinant of disease-specific survival in the recent TNM staging system, it is not included in the recent American Thyroid Association (ATA) guidelines to estimate the risk of recurrence. Nevertheless, the effect of sex on differentiated thyroid carcinoma (DTC) recurrence is controversial. Therefore, this multicenter study was conducted to assess whether age at diagnosis and sex can improve the performance of the ATA 3-tiered risk stratification system in patients with DTC with at least 5 years of follow-up. METHODS: In this study, the computer-recorded data of the patients diagnosed with DTC between January 1985 and January 2016 were analyzed. Only patients with proven structural persistent/recurrent disease were selected for comparisons. RESULTS: This study consisted of 1691 patients (female, 1367) with DTC. In Kaplan-Meier analysis, disease-free survival (DFS) was markedly longer in females only in the ATA low-risk category (P = .045). Nevertheless, a markedly longer DFS was observed in patients aged <45 years in the ATA low- and intermediate-risk categories (P = .004 and P = .009, respectively), whereas in patients aged <55 years, DFS was markedly longer only in the ATA low-risk category (P < .001). In the Cox proportional hazards model, ages of ≥45 and ≥55 years at diagnosis and the ATA risk stratification system were all independent predictors of persistent/recurrent disease. CONCLUSION: Applying the age cutoff of 45 years in the ATA intermediate- and low-risk categories may identify patients at a higher risk of persistence/recurrence and may improve the performance of the ATA risk stratification system, whereas sex may improve the performance of only the ATA low-risk category.

Pasireotide treatment in Cushing's disease: A single tertiary center's experience.

BACKGROUND: Patients who were followed up for CD and treated with pasireotide between 2014-2020 at Cerrahpasa Medical Faculty, were evaluated retrospectively. The efficacy and adverse effects of pasireotide were evaluated in this study. METHODS: Thirty-two patients were evaluated. The mean duration of treatment was 26.5 [range, 12.0-37.0] months. The 24-h urinary free cortisol (UFC) decreased 46% during the treatment and normalized in 37.5% of patients. A significant decrement was found between pretreatment and last follow-up UFC (p = 0.001). Plasma ACTH decreased by 21%. A significant decrement was found between pre-treatment and the 3rd month, 6th month, and last follow-up ACTH levels (p = 0.014, p = 0.017, and p = 0.017, respectively). Serum cortisol levels decreased by 18% and a significant decrement was found between pretreatment and the 3rd month, and between pretreatment and the last follow-up (p = 0.034 and p = 0.013, respectively). While fasting blood glucose at the 3rd month was significantly higher than pretreatment fasting blood glucose, no significant difference was found between pretreatment fasting blood glucose and 6th month and last follow-up fasting blood glucose. Although there was a significant difference between pretreatment HbA1c levels and the HbA1c levels at the 3rd month (5.9% vs. 6.6% p = 0.007), 6th month (5.9% vs. 6.7% p = 0.003), and the last follow-up (5.9% vs. 7.1% p = 0.001), in the last follow-up, the majority (77%) of patients had adequate glycemic control (HbA1c ≤ 7.0 %). The authors declare that there is no conflict of interest. DISCUSSION: Pasireotide treatment is an alternative treatment in CD, remission is obtained in the first months of treatment, and continues for an extended period. Although hyperglycemia is the most common adverse effect, it can be successfully controlled.

Gut microbiota in patients with newly diagnosed acromegaly: a pilot cross-sectional study.

PURPOSE: Microbiota has crucial biological importance for human well-being. Bidirectional interaction exists between microbiota and the host, and there have been no studies investigating this interaction in patients with acromegaly. We aimed to analyze the composition of microbiota in patients with newly diagnosed acromegaly. METHOD: Stool samples were obtained from the patients with newly diagnosed acromegaly in the Endocrinology Clinic of Erciyes University Medical School. The composition of microbiota was analyzed, and the results were compared to healthy volunteers matched to the patients in terms of age, gender and body mass index. RESULTS: Seven patients (three male, four female) with a mean age of 48 ± 17.6 years were included in the study. The stool analysis revealed a significantly lower bacterial diversity in the patients with acromegaly. Bacteroidetes phylum was predominating in the patient group, and Firmicutes/Bacteroidetes ratio was altered significantly. Bifidobacterium, Collinsella, Bacteroides, Butyricimonas, Clostridium, Oscillospira, and Dialister were predominating in the control group. CONCLUSION: The gut microbiota is significantly altered in patients with newly diagnosed acromegaly. Further prospective studies are needed to elucidate the causative relationship between acromegaly, colorectal pathologies, and microbial alterations.

Psychosocial effects and clinic reflections of the COVID-19 outbreak in patients with acromegaly and Cushing's disease.

PURPOSE: Patients with acromegaly and Cushing's disease (CD) may experience significant problems related to the COVID-19 outbreak. We aimed to investigate the psychosocial effects of the pandemic and reveal the follow-up characteristics. METHODS: The single center, cross-sectional, web-based survey study included patients with acromegaly and CD, PCR-confirmed COVID-19 patients and healthy volunteers without known any chronic disease. The semi-structured sociodemographic data form, The State-Trait Anxiety Inventory (STAI) and Impact of Event Scale-Revised (IES-R) were used. RESULTS: We examined 583 people (217 acromegaly, 127 CD, 102 PCR-confirmed COVID-19 patients and 137 healthy controls). The frequency of abnormal state anxiety and post-traumatic stress disorder (PTSD) were similar in patients with acromegaly and CD and healthy controls, and higher in PCR-confirmed COVID-19 patients than in these three groups (p < 0.001 for both). The frequency of abnormal trait anxiety was higher in patients with acromegaly and PCR-confirmed COVID-19 compared to patients with CD and healthy controls (p = 0.027, p < 0.001, respectively). There were no significant differences between the acromegaly and CD groups in terms of follow-up characteristics and perception of the severity of the COVID-19 outbreak (p > 0.05 for all). But, the treatment discontinuation rate was higher in patients with acromegaly than CD (p = 0.012). CONCLUSIONS: Our findings indicate that acromegaly and CD patients are psychologically less affected than PCR-confirmed COVID-19 patients and exhibit similar findings the general population. The clinicians should consider the psychosocial effects, as well as focus on the regular follow-up and medical treatments of these patients during the outbreak.

The effect of somatostatin analogs and acromegaly on the upper gastrointestinal system.

PURPOSE: To evaluate the effects of somatostatin analogs and disease activity status on the upper gastrointestinal system in patients with acromegaly. METHODS: One hundred eighty-one patients with acromegaly were retrospectively assessed. The demographic, biochemical, pathologic, and radiologic data of the patients were evaluated. The upper gastrointestinal endoscopies and endoscopic biopsies were investigated. We divided patients into four groups according to the use of somatostatin analogs, and into two groups according to disease activity. We compared the data of patients between groups A, B, C, and D, and controlled/uncontrolled groups separately. RESULTS: Before and in the peri-endoscopic period, 67 and 27 patients were being treated with octreotide long-acting release (LAR) (group A) and lanreotide autogel (group B), respectively. Twenty-one patients used somatostatin analogs, but they were stopped for various reasons before upper gastrointestinal endoscopy (group C), and 66 patients did not use a somatostatin analog (group D). In the peri-endoscopic period, 103 (60%) patients were responsive to medical and/or surgical treatment and 67 (40%) patients were non-responsive. The rate of gastritis was higher in group A than in groups B and D. The incidence of duodenitis and gastric ulcer was much higher in group D. The rate of gastritis was higher in the controlled group compared to the uncontrolled group. CONCLUSION: The study showed that octreotide LAR treatment could be a risk factor in addition to known factors for the development of gastritis in patients with acromegaly.

Long-term efficacy and safety of once-monthly pasireotide in Cushing's disease: A Phase III extension study.

OBJECTIVES: Many patients with Cushing's disease (CD) require chronic pharmacotherapy to control their hypercortisolism. We evaluated the efficacy and safety of long-acting pasireotide during a long-term extension study in patients with CD. DESIGN: Open-label extension to a 12-month Phase III study of long-acting pasireotide in CD (N = 150; NCT01374906). PATIENTS: Patients with mean urinary free cortisol (mUFC) ≤ upper limit of normal (ULN) or receiving clinical benefit at core study end could continue long-acting pasireotide during the extension. RESULTS: Eighty-one of 150 (54.0%) enrolled patients entered the extension. Median overall exposure to pasireotide at study end was 23.9 months; 39/81 (48.1%) patients completed the extension (received ≥ 12 months' treatment during the extension and could transit to a separate pasireotide safety study). mUFC was ≤ULN in 42/81 (51.9%), 13/81 (16.0%) and 43/81 (53.1%) patients at extension baseline, month (M) 36 and last assessment. Median mUFC remained within normal limits. Median late-night salivary cortisol was 2.6 × ULN at core baseline and 1.3 × ULN at M36. Clinical improvements were sustained over time. Forty-two (51.9%) patients discontinued during the extension: 25 (30.9%) before M24 and 17 (21.0%) after M24. Hyperglycaemia-related AEs occurred in 39.5% of patients. Mean fasting glucose (FPG) and glycated haemoglobin (HbA1c ) were stable during the extension, with antidiabetic medication initiated/escalated in some patients. Sixty-six (81.5%) and 71 (88.9%) patients were classified as having diabetes (HbA1c  ≥ 6.5%, FPG ≥ 7.0 mmol/L, antidiabetic medication use, or history of diabetes) at extension baseline and last assessment. CONCLUSIONS: Long-acting pasireotide provided sustained biochemical and clinical improvements, with no new safety signals emerging, supporting its use as an effective long-term therapy for CD.

External Validation of the GREAT Score in Turkish Patients with Graves' Hyperthyroidism Treated with the Titration Regimen Method of Antithyroid Drugs: A Multicenter Study.

Recently, the Graves' Recurrent Events After Therapy score (GREAT) was proposed as a useful tool to predict relapse before starting antithyroid drugs (ATD) in patients with Graves' disease (GD). Therefore, we intended to assess the validity of the GREAT score in Turkish patients with GD, including patients who experienced a poorly controlled disease (multiple episodes of hyperthyroidism followed by euthyroidism or rarely hypothyroidism) during ATD dose titration. This is a retrospective multicenter study including 517 patients with the first episode of GD who were treated for at least 12 months. The patients were classified as relapse+poorly controlled disease (non-remission) and remission groups. During a median follow-up time of 35 months (12-144 months), 191 (37%) patients experienced a relapse, 136 (26.3%) a poorly controlled disease, and 190 (36.7%) remained in remission. Patients with non-remission disease tended to have significantly higher serum levels of TRAb, fT4, and fT3, and have larger goiter sizes on palpation at baseline, as compared with the remission group. Non-remission disease occurred in 12, 35, and, 53% of the patients falling into GREAT class I, II, and III, respectively (hazard ratio 2.56, 95% CI 2.02-3.51, p=0.012, and hazard ratio 3.54, 95% CI 2.12-5.91, p<0.001, for GREAT class II and III against class I, respectively). According to our study, the GREAT score is a useful tool to predict the risk of relapse as well as the occurrence of poorly controlled disease before starting treatment with ATDs.

Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with growth hormone (GH)-secreting pituitary macroadenoma, and to compare the qTA with quantitative and qualitative T2-weighted relative signal intensity (rSI) and immunohistochemical evaluation. METHODS: Forty-seven patients (24 responsive; 23 resistant patients to SA) were eligible for this retrospective study. Coronal T2-weighted images were used for qTA and rSI evaluation. The immunohistochemical evaluation was based on the granulation pattern of the adenomas. Dimension reduction was carried out by reproducibility analysis and wrapper-based algorithm. ML classifiers were k-nearest neighbours (k-NN) and C4.5 algorithm. The reference standard was the biochemical response status. Predictive performance of qTA was compared with those of the quantitative and qualitative rSI and immunohistochemical evaluation. RESULTS: Five hundred thirty-five out of 828 texture features had excellent reproducibility. For the qTA, k-NN correctly classified 85.1% of the macroadenomas regarding response to SAs with an area under the receiver operating characteristic curve (AUC-ROC) of 0.847. The accuracy and AUC-ROC ranges of the other methods were 57.4-70.2% and 0.575-0.704, respectively. Differences in predictive performance between qTA-based classification and the other methods were significant (p < 0.05). CONCLUSIONS: The ML-based qTA of T2-weighted MRI is a potential non-invasive tool in predicting response to SAs in patients with acromegaly and GH-secreting pituitary macroadenoma. The method performed better than the qualitative and quantitative rSI and immunohistochemical evaluation. KEY POINTS: • Machine learning-based texture analysis of T2-weighted MRI can correctly classify response to somatostatin analogues in more than four fifths of the patients. • Machine learning-based texture analysis performs better than qualitative and quantitative evaluation of relative T2 signal intensity and immunohistochemical evaluation. • About one third of the texture features may not be excellently reproducible, indicating that a reliability analysis is necessary before model development.