Notes
![]() ![]() Notes - notes.io |
Bioarchaeologists can address these limitations by utilizing a wide array of data and methods, and the studies described here collectively demonstrate the complex, nuanced, and highly variable effects of urbanization.Not required for Clinical Vignette.Not required for Clinical Vignette.Not required for Clinical Vignette.Not required for Clinical Vignette.Not required for Clinical Vignette.Not required for Clinical Vignette.
The influence of growth hormone (GH) treatment on amino acids (AAs) profile in patients with Turner syndrome (TS) was investigated.
The study group included girls with TS treated with GH (GH+) and girls with no GH treatment (GH-). The control group consisted of healthy girls. Free plasma AAs were measured by the LC/MS/MS.
The plasma concentrations of glutamine, threonine were significantly higher in group GH+ than in group GH- (p < 0.05). In group GH- the values of glutamine, alanine, isoleucine, glutamic acid were significantly different than in the control (p < 0.05-p < 0.008).
AAs profile in girls with TS might be characteristic for the disease but also depends on GH treatment.
AAs profile in girls with TS might be characteristic for the disease but also depends on GH treatment.
Thyroid dysfunction and gestational diabetes (GDM) are the two most common endocrine disorders that can be observed during pregnancy. selleck inhibitor Thyroid function abnormalities can be associated with insulin resistance (IR) and changes in carbohydrate metabolism. In patients with type 1 diabetes, thyroid function is usually evaluated to rule out abnormalities within a second autoimmune disease. Patients with type 2 diabetes are tested for thyroid function in view of the associated weight gain, IR, and changes in metabolism. The question arises Should we also look for thyroid dysfunction in patients with gestational diabetes? The aim of the study was to determine whether there are abnormalities in thyroid hormone levels in pregnant women with gestational diabetes.
A monocentric, retrospective study of the Dr Shterev Hospital electronic database was performed. We analysed the medical records of 662 pregnant women, divided in two groups - 412 with GDM and 250 with normal glucose tolerance, who gave birth in the period 2 to high concentration of TSH and low-normal to low concentration of FT4 as well as high FT3Ft4 ratio could indicate increased risk of development of GDM.
We designed 5 convolutional neural network (CNN) models and ensemble models to differentiate malignant and benign thyroid nodules on CT, and compared the diagnostic performance of CNN models with that of radiologists.
We retrospectively included CT images of 880 patients with 986 thyroid nodules confirmed by surgical pathology between July 2017 and December 2019. Two radiologists retrospectively diagnosed benign and malignant thyroid nodules on CT images in a test set. Five CNNs (ResNet50, DenseNet121, DenseNet169, SE-ResNeXt50, and Xception) were trained-validated and tested using 788 and 198 thyroid nodule CT images, respectively. Then, we selected the 3 models with the best diagnostic performance on the test set for the model ensemble. We then compared the diagnostic performance of 2 radiologists with 5 CNN models and the integrated model.
Of the 986 thyroid nodules, 541 were malignant, and 445 were benign. The area under the curves (AUCs) for diagnosing thyroid malignancy was 0.587-0.754 for 2 radiologists. The AUCs for diagnosing thyroid malignancy for the 5 CNN models and ensemble model was 0.901-0.947. There were significant differences in AUC between the radiologists' models and the CNN models (p < 0.05). The ensemble model had the highest AUC value.
Five CNN models and an ensemble model performed better than radiologists in distinguishing malignant thyroid nodules from benign nodules on CT. The diagnostic performance of the ensemble model improved and showed good potential.
Five CNN models and an ensemble model performed better than radiologists in distinguishing malignant thyroid nodules from benign nodules on CT. The diagnostic performance of the ensemble model improved and showed good potential.
Shwachman-Diamond syndrome (SDS) is a rare autosomal recessive disorder characterized by pancreatic exocrine insufficiency, immune deficiency, bone marrow failure, and bone malformations. Systematic data concerning endocrine function in SDS are limited. We studied patients diagnosed in The Children's Memorial Health Institute in Warsaw, Poland, to assess the prevalence of various endocrinopathies.
In the pilot study, retrospective data were collected for 5 patients with SDS. Subsequently, patients with SDS aged 3-16 years were recruited prospectively. In total, 19 patients with mutations in the SBDS gene were studied. Data were collected on anthropometric measurements, systemic screening tests of pituitary, thyroid, adrenal, pancreatic, and gonadal function, as well as bone mineral density. Descriptive statistics were tabulated and group differences assessed.
Twelve patients (63%) had ≥ 1 endocrine disorder, including growth hormone dysfunction (10 patients, 53%), hypothyroidism (2 patients, 10%), congevaluation and tests for GH deficiency. Bone mineral density measurements should be a part of a routine screening. Longitudinal studies are needed to better understand the aetiology and true prevalence of these disorders.
Osteoporosis leads to an increased risk of vertebral compression fractures (VCFs). Most of them are spontaneous, which makes early diagnosis difficult. The aim of the study was to find parameters that distinguish osteoporotic women with and without vertebral compression fractures.
A total of 437 women with postmenopausal osteoporosis were enrolled to the study. Based on the results of densitometric vertebral fracture assessment, patients were divided into 2 groups with (n = 193) and without (n = 244) VCFs. Then selected anthropometric, laboratory, and densitometric parameters as well as questionnaire data were compared.
The following distinguishing factors were found among patients with VCFs in comparison to patients without such fractures older age- 73.93 years vs. 69.63 years [p(1) < 0.001, p(2) < 0.001], shorter height - 1.56 m vs. 1.58 m [p(4) < 0.001], lower value of glomerular filtration rate (GFR) according to Cockcroft-Gault formula - 58.22 mL/min. vs. 66.25 mL/min. [p(1) < 0.025, p(2) = 0.
Read More: https://www.selleckchem.com/products/epz020411.html
![]() |
Notes is a web-based application for online taking notes. You can take your notes and share with others people. If you like taking long notes, notes.io is designed for you. To date, over 8,000,000,000+ notes created and continuing...
With notes.io;
- * You can take a note from anywhere and any device with internet connection.
- * You can share the notes in social platforms (YouTube, Facebook, Twitter, instagram etc.).
- * You can quickly share your contents without website, blog and e-mail.
- * You don't need to create any Account to share a note. As you wish you can use quick, easy and best shortened notes with sms, websites, e-mail, or messaging services (WhatsApp, iMessage, Telegram, Signal).
- * Notes.io has fabulous infrastructure design for a short link and allows you to share the note as an easy and understandable link.
Fast: Notes.io is built for speed and performance. You can take a notes quickly and browse your archive.
Easy: Notes.io doesn’t require installation. Just write and share note!
Short: Notes.io’s url just 8 character. You’ll get shorten link of your note when you want to share. (Ex: notes.io/q )
Free: Notes.io works for 14 years and has been free since the day it was started.
You immediately create your first note and start sharing with the ones you wish. If you want to contact us, you can use the following communication channels;
Email: [email protected]
Twitter: http://twitter.com/notesio
Instagram: http://instagram.com/notes.io
Facebook: http://facebook.com/notesio
Regards;
Notes.io Team