Cardiovascular Risk Markers in Adults With Adrenal Incidentaloma and Mild Autonomous Cortisol Secretion.

CONTEXT: Many adrenal adenomas exhibit mild autonomous cortisol secretion (MACS). Although MACS is associated with increased cardiovascular mortality, the underlying mechanisms are not fully defined. OBJECTIVE: To investigate mechanisms that may link MACS and cardiovascular mortality in adults with adrenal adenoma. DESIGN: Cross-sectional study. PATIENTS: Twenty adults with adrenal adenoma and MACS and 20 controls with nonfunctioning adrenal adenoma. METHODS: Reactive hyperemia index (RHI) was measured by peripheral artery tonometry and 24-hour ambulatory blood pressure monitoring (24h AMBP) was performed. Indices of insulin secretion and sensitivity were estimated by measuring glucose and insulin fasting and following a mixed meal. MAIN OUTCOME MEASURE: The primary outcome was the difference in RHI between participants with MACS vs nonfunctioning adrenal adenoma. RESULTS: The average cortisol after 1-mg dexamethasone and urinary free cortisol were higher in patients with MACS. There was no significant difference in fasting RHI (2.0 [interquartile range (IQR) 1.6-2.4] vs 2.0 [IQR 1.7-2.2, P = .72), but postprandial RHI was higher in patients with MACS (2.2 [1.8-2.7] vs 1.8 [1.5-2.2], P = .04). 24-hour ambulatory blood pressure monitoring and Matsuda index were not significantly different in the groups. Fasting glucose and glucose area under the curve after the mixed meal were higher and insulinogenic index was lower in participants with MACS. CONCLUSION: Adults with adrenal adenoma and MACS do not have fasting endothelial dysfunction and postprandial endothelial function may be better. These patients have fasting and postprandial hyperglycemia with lower insulin secretion, which may underlie the association between MACS and increased cardiovascular mortality.

Artificial Intelligence for Pre-operative Diagnosis of Malignant Thyroid Nodules Based on Sonographic Features and Cytology Category.

BACKGROUND: Current diagnosis and classification of thyroid nodules are susceptible to subjective factors. Despite widespread use of ultrasonography (USG) and fine needle aspiration cytology (FNAC) to assess thyroid nodules, the interpretation of results is nuanced and requires specialist endocrine surgery input. Using readily available pre-operative data, the aims of this study were to develop artificial intelligence (AI) models to classify nodules into likely benign or malignant and to compare the diagnostic performance of the models. METHODS: Patients undergoing surgery for thyroid nodules between 2010 and 2020 were recruited from our institution's database into training and testing groups. Demographics, serum TSH level, cytology, ultrasonography features and histopathology data were extracted. The training group USG images were re-reviewed by a study radiologist experienced in thyroid USG, who reported the relevant features and supplemented with data extracted from existing reports to reduce sampling bias. Testing group USG features were extracted solely from existing reports to reflect real-life practice of a non-thyroid specialist. We developed four AI models based on classification algorithms (k-Nearest Neighbour, Support Vector Machine, Decision Tree, Naïve Bayes) and evaluated their diagnostic performance of thyroid malignancy. RESULTS: In the training group (n = 857), 75% were female and 27% of cases were malignant. The testing group (n = 198) consisted of 77% females and 17% malignant cases. Mean age was 54.7 ± 16.2 years for the training group and 50.1 ± 17.4 years for the testing group. Following validation with the testing group, support vector machine classifier was found to perform best in predicting final histopathology with an accuracy of 89%, sensitivity 89%, specificity 83%, F-score 94% and AUROC 0.86. CONCLUSION: We have developed a first of its kind, pilot AI model that can accurately predict malignancy in thyroid nodules using USG features, FNAC, demographics and serum TSH. There is potential for a model like this to be used as a decision support tool in under-resourced areas as well as by non-thyroid specialists.

Role of radiotherapy in women over the age of 65 after breast conserving surgery for breast cancer: A 5-year retrospective study.

BACKGROUND/OBJECTIVE: This study aimed to analyse the local recurrence (LR) and breast cancer related mortality (BCRM) in older women who underwent breast-conserving surgery (BCS) with and without adjuvant radiotherapy (XRT). METHODS: This retrospective study included a total of 299 women who underwent BCS for early breast carcinoma, between the years of 2007 and 2011. Predictive risk factors, local recurrence (LR) and breast cancer related mortality (BCRM) were assessed with a mean follow-up period of 84 months. RESULTS: Women over the age of 65 in the XRT and No-XRT groups showed similar incidence of LR (5.8% vs 5%, p = 0.838). Women over 65 years old with XRT had a higher rate of BCRM (5.8% vs 0%, p = 0.05). Resection margins >5 mm had a lower rate of BCRM (HR 0.395, p = 0.05). Women under the age of 65, invasive ductal carcinoma, grade-3 tumours, HER-2 positive, triple negative, lympho-vascular invasion, axillary lymph node positivity, high breast density on mammography were associated with increased risk of LR and BCRM. CONCLUSIONS: XRT in women over the age of 65 did not decrease the risk of LR. Adjuvant XRT in older women should be offered to selective patients with high risk patient and tumour factors.

Seasonal variation in AF-related admissions to a coronary care unit in a "hot" climate: fact or fiction?

BACKGROUND: Seasonal variations in atrial fibrillation (AF)-related morbidity and mortality have been demonstrated in "cold" northern European climates, but there are few data describing such a phenomenon in a "hot" climate. RESEARCH OBJECTIVE: To examine the pattern of AF-related admissions to a coronary care unit (CCU) in South Australia operating within a Mediterranean climate, and to determine potential differences according to mean daily temperatures. PATIENT COHORT AND METHODS: A total of 144 admissions to the CCU during the 30 hottest and coldest days (60 days in total) during the calendar year 2001 were analyzed in respect to the absolute number of admissions and the profile of those admitted during "hot" and "cold" days. RESULTS: Overall, there were significantly more admissions to the CCU on "cold" as opposed to "hot" days (90 vs 54 patients in 30 days, P < or = .001). Of the 24 patients found to be in AF on presentation to hospital, 18 (75%) were admitted on cold days (P < .05). Alternatively, during "hot" days, patients were more likely to be diagnosed with unstable angina rather than acute myocardial infarction (46% vs 30%, P = .07) with proportionately fewer patients in AF at the time (11% vs 20%, P = NS). CONCLUSIONS: These preliminary data suggest that the phenomenon of seasonal variations in AF-related morbidity extend beyond colder climates to hotter climates with sufficiently large relative (as opposed to absolute) changes in ambient temperatures during the year.