Experimental and Clinical Endocrinology & Diabetes最新文献

Introduction: The current ultrasound scan classification system for thyroid nodules is time-consuming, labor-intensive, and subjective. Artificial intelligence (AI) has been shown to increase the accuracy of predicting the malignancy rate of thyroid nodules. This study aims to demonstrate the state-of-the-art Swin Transformer to classify thyroid nodules.

Materials and methods: Ultrasound images were collected prospectively from patients who received fine needle aspiration biopsy for thyroid nodules from January 2016 to June 2021. One hundred thirty-nine patients with malignant thyroid nodules were enrolled, while 235 patients with benign nodules served as controls. Images were fed to Swin-T and ResNeSt50 models to classify the thyroid nodules.

Results: Patients with malignant nodules were younger and more likely male compared to those with benign nodules. The average sensitivity and specificity of Swin-T were 82.46% and 84.29%, respectively. The average sensitivity and specificity of ResNeSt50 were 72.51% and 77.14%, respectively. Receiver operating characteristics analysis revealed that the area under the curve of Swin-T was higher (AUC=0.91) than that of ResNeSt50 (AUC=0.82). The McNemar test evaluating the performance of these models showed that Swin-T had significantly better performance than ResNeSt50.Swin-T classifier can be a useful tool in helping shared decision-making between physicians and patients with thyroid nodules, particularly in those with high-risk characteristics of sonographic patterns.

Objective: Adrenal tumors are generally rare in children and can be a part of familial cancer syndrome. This research was conducted to examine the clinical outcomes, histopathological results, and genetic etiologies of adrenal tumors in children and adolescents.

Methods: Thirty-one children and adolescents with adrenal tumors were included. Data on clinical outcomes and endocrine and radiologic results were retrospectively analyzed. Molecular analysis was conducted in select patients according to their phenotype and family history.

Results: The median age at diagnosis was 7.9 years (range: 0.8-17.8 years) with 5.1±1.8 cm of maximum tumor diameter. Adrenal adenoma (n=7), carcinoma (n=5), borderline (n=2), isolated micronodular adrenocortical disease (n=2), pheochromocytoma (n=8), paraganglioma (n=3), and ganglioneuroma (n=4) are all pathological diagnoses. The most common presenting symptom was excess production of adrenocortical hormones (n=15), including virilization and Cushing syndrome. Non-functioning adrenocortical tumors were found in a patient with congenital adrenal hyperplasia. Genetic etiologies were identified in TP53 (n=5), VHL (n=4), and PRKACA (n=1). Patients with mutations in TP53 were young (1.5±0.5 years) and had large masses (6.1±2.3 cm).

Conclusions: This study describes clinical outcomes and the pathological spectrum of adrenal tumors in children and adolescents. Adrenocortical tumors mostly presented with an excess of the adrenocortical hormone. Patients with genetic defects presented at a young age and large size of tumors, necessitating genetic testing in patients at a young age.

Background: The present study aimed to identify individuals with different personalities using latent class analysis and further distinguish those with a high risk of diabetes among different clusters.

Methods: Data were utilized from a large-scale, cross-sectional epidemiological survey conducted in 2018 across 23 provinces in China, employing a multi-stage, stratified sampling technique. Latent class cluster analysis was performed to identify distinct personality clusters based on a series of variables concerning life attitudes. Logistic regression was used to calculate adjusted odds ratios (AORs) after controlling for potential confounding variables, including age, gender, body mass index, smoking status, alcohol consumption, hypertension, and physical activity levels, to determine the association between these groups and diabetes.

Results: Four distinct personality clusters were identified, namely the energy-poor (2.0%), self-domination (61.3%), optimistic (21.3%), and irritable (15.4%) groups. The prevalence of diabetes in these groups was 14.6%, 9.7%, 9.3%, and 11.6%, respectively. After adjusting for potential confounders, the "energy-poor group" exhibited more odds of having diabetes as compared to the "optimistic group" (AOR 1.683, 95%CI: 1.052-2.693; P=0.030).

Conclusion: This study identified an energy-poor group of individuals with a high risk of diabetes. Targeted interventions should consider the emotional and personality characteristics of the elderly.

Background: We previously published an algorithm predicting 24 h basal insulin infusion profiles in insulin pump-treated subjects with type 1 diabetes profiles from six subject characteristics. This algorithm was to be externally validated in an independent environment and patient population.

Methods: Thirty-two patients with pump-treated type diabetes were switched to their individually algorithm-derived basal insulin infusion profile, and the appropriateness of fasting glycemic control was scrutinized by means of a supervised 24 h fast. Primary endpoint was appropriate fasting glycemic control according to pre-defined criteria in at least 80% of the cohort.

Results: In 24 out of 32 patients switching to the algorithm-derived basal insulin infusion rate and undergoing a 24-h fasting period, appropriate glycemic control was achieved (=75%, lower than the pre-defined threshold of 80%), two patients discontinued the fast due to hyperglycemia, and six finished the fasting period, however, with inappropriate fasting glycemic control (entirely due to hyperglycemic episodes). There were no obvious differences in baseline characteristics between those with appropriate vs. inappropriate fasting glycemic control on the basal insulin infusion rate provided by the algorithm.

Conclusion: In conclusion, when testing fasting glycemic control with an algorithm-derived individual basal insulin infusion profile during a 24 h fasting period in a cohort unrelated in terms of the hospital environment and catchment area, the success rate was lower than a pre-defined threshold for concluding utility of this algorithm. Therefore, applying this algorithm in order to initiate or optimize basal insulin infusion profiles in type 1 diabetes cannot be generally recommended.

Aims: Transition from pediatric to adult care is difficult for patients with chronic diseases. In this study, factors associated with metabolic control in childhood-onset type 1 diabetes (T1D) after transfer to adult care were analyzed.

Methods: Overall, 224 persons with T1D were contacted yearly from 1998 to 2019. They voluntarily answered a questionnaire about their current hemoglobin A1c (HbA1c) levels, diabetes-associated complications, kind of care, living conditions, and family situation. Then, mixed longitudinal-cross-sectional analyses were carried out.

Results: Overall, 190 patients answered at least once (mean age: 26.6 years). Diabetes complications were mentioned by 10 patients (5 microalbuminuria, 5 retinopathy). Most patients (92.6%) were in diabetes-specific care during the first year after transfer, with a trend to leave diabetes-specific care during the observation period. Patients in diabetes-specific care displayed lower HbA1c levels (%/mmol/mol) (7.1/54 vs. 7.5/58). An important predictor for HbA1c after transfer was HbA1c during the year before transfer (r=0.67, p <0.001). Patients living alone showed no difference in HbA1c levels from those living with their parents. Married patients had lower HbA1c levels (7.0/53 vs. 7.3/56, p<0.05) than unmarried ones. Patients with children (15.8%) presented lower HbA1c levels (6.9/52 vs. 7.3/56, p <0.01) than those without.

Conclusions: Good metabolic results are favored in patients followed-up in specialized care, are married, and are parents. We recommend transfer to a diabetologist with experience in T1D at an individual age.

Background: Potentially inappropriate medications (PIMs) are frequently prescribed to older people with diabetes. This study aimed to assess the prevalence of PIM use in older people with diabetes and identify potential risk factors influencing the development of PIM use.

Methods: This was a cross-sectional study conducted in an outpatient setting in Beijing, China, using Chinese criteria. The prevalence of PIM use, polypharmacy, and comorbidities in older adults with diabetes in an outpatient setting was measured. Logistic models were employed to investigate the association among polypharmacy, comorbidities, and PIM use.

Results: The prevalence of PIM use and polypharmacy was 50.1% and 70.8%, respectively. The most common comorbidities were hypertension (68.0%), hyperlipemia (56.6%), and stroke (36.3%), and the top three inappropriately used medications were insulin (22.0%), clopidogrel (11.9%), and eszopiclone (9.81%). Age (OR 1.025; 95% CI 1.009, 1.042), the number of diagnoses (OR 1.172; 95% CI 1.114, 1.232), coronary heart disease (OR 1.557; 95% CI 1.207, 2.009), and polypharmacy (OR 1.697; 95% CI 1.252, 2.301) were associated with PIM use.

Conclusions: Given the higher rate of PIM use among older adults with diabetes, strategies and interventions targeting this population are needed to minimize PIM use.

Autoimmune thyroid disease (AITD) may be detected prior to clinical symptoms through the presence of autoantibodies against thyroid peroxidase (TPOab), thyroglobulin (TGab), or both.The present study aimed to develop a novel radiobinding assay (RBA) for TPOab and to determine the prevalence of TPOab and TGab in the Swedish population.Patient samples from 27 newly diagnosed Graves' disease patients in longitudinal follow-up and 124 AITD autoantibody-positive children in prospective follow-up for increased risk of type 1 diabetes were included to validate the novel RBA for TPO. The results of RBA were compared with those obtained by commercial radioimmunoassay (RIA) and electrochemiluminescence (ECL). Furthermore, 476 serum samples from adult blood donors and 297 from 13-year-old school children were analyzed for the presence of TPOab and TGab.Receiver operating characteristics analysis for the novel TPOab resulted in an area under curve (AUC) value of 0.82 (p<0.0001), a sensitivity of 77.8%, and a specificity of 91.9% in adult blood donors, and an AUC value of 0.70 (p<0.0001), a sensitivity of 53.2% and a specificity of 95.3% in the 13-year-old school children, respectively. TPOab levels in RBA correlated with both ECL (r=0.8950, p<0.0001) and RIA (r=0.9295, p<0.0001). The prevalence of TPOab and TGab was 6.3% and 7.6% in adult blood donors and 2.9 and 3.7% in 13-year-old school children.In conclusion, a novel RBA for the determination of TPOab was developed and validated with current methodologies. This study also reports an increasing prevalence of thyroid autoantibodies from adolescence to adulthood.

In the recently published consensus statement on the treatment and management of type 1 diabetes issued by experts from the American (ADA) and European (EASD) diabetes societies, measurement of endogenous insulin secretion using fasting C-peptide is recommended as a diagnostic criterion. In contrast, our group recently suggested fasting C-peptide/glucose ratio (CGR) for the determination of endogenous insulin secretion. In addition, this ratio may turn out as a potential decision aid for pathophysiologically based differential therapy of diabetes. In this comment, the following points will be discussed: i) CGR as the basis of differential diagnosis of type 1 diabetes, ii) CGR as the basis of treatment decisions for or against insulin in diabetes, and iii) the ease of application of CGR in clinical practice. The use of CGR may complement the ADA/EASD recommendations and should provide a practical application in clinical practice.

Objective: Circular RNAs (circRNAs) have been discovered as potential biomarkers for diabetic nephropathy (DN). In this study, the potential roles of circADAM9 in high glucose (HG)-induced cell injury of human mesangial cells (HMCs) were investigated, and the underlying mechanism was elucidated.

Methods: DN cell model in vitro was simulated by HG treatment of HMCs. Endogenous expressions of circADAM9, miR-545-3p, and ubiquitin-specific protease 15 (USP15) were determined by real-time polymerase chain reaction. Cell proliferation and migration were evaluated using Cell Counting Kit-8 and wound healing assays. The inflammatory response was assessed by enzyme-linked immunosorbent assay. Oxidative stress was examined using commercially available kits. Dual-luciferase reporter and RNA pull-down assays were conducted to confirm the interaction among circADAM9, miR-545-3p, and USP15.

Results: CircADAM9 was upregulated in DN samples and HG-treated HMCs, while its downregulation inhibited cell proliferation, inflammation, fibrosis, and oxidative stress. Further investigation revealed that circADAM9 exerted this influence by targeting the miR-545-3p/USP15 axis, thereby regulating the KELCH-like ECh-associated protein 1/nuclear factor erythroid 2 related factor 2 (Keap1/Nrf2) pathway. MiR-545-3p knockdown or USP15 overexpression reversed the effect of circADAM9 silencing in HG-induced HMCs.

Conclusion: These results indicate that the circADAM9/miR-545-3p/USP15/Keap1/Nrf2 signaling axis is critical for HG-induced cell injury in HMCs and might represent a novel therapeutic target for DN treatment.

The syndrome of inappropriate ADH-secretion (SIADH) is a common cause of low sodium levels with diverse aetiology. Here, we report a case of a 41 years old male patient diagnosed with SIADH and a good response to Tolvaptan therapy. Of interest, as a potential unique cause, magnetic resonance imaging revealed a micronodular structure in the posterior pituitary, while no other common cause of SIADH could be identified. Hence, to the best of our knowledge, this is the first case of a Tolvaptan-responsive SIADH associated with a pituitary micronodular structure.