Adipsic diabetes insipidus

Kothari, Vallari; Cardona, Zulma; Eisenberg, Yuval

doi:10.1016/b978-0-12-820683-6.00019-1

Cited by 7 publications

(3 citation statements)

References 75 publications

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“…The incidence of diabetes in China is showing an increasing trend year by year. Among them, type 2 diabetic patients account for more than 90% of the total number of diabetes [ 35 ]. Diabetes has been called the three major types of diseases together with cardiovascular and cerebrovascular diseases and cancer.…”

Section: Discussionmentioning

confidence: 99%

High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm

Tan

Han

2022

Computational and Mathematical Methods in Medicine

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The objective of this study was to adopt the high-resolution computed tomography (HRCT) technology based on the faster-region recurrent convolutional neural network (Faster-RCNN) algorithm to evaluate the lung infection in patients with type 2 diabetes, so as to analyze the application value of imaging features in the assessment of pulmonary disease in type 2 diabetes. In this study, 176 patients with type 2 diabetes were selected as the research objects, and they were divided into different groups based on gender, course of disease, age, glycosylated hemoglobin level (HbA1c), 2 h C peptide (2 h C-P) after meal, fasting C peptide (FC-P), and complications. The research objects were performed with HRCT scan, and the Faster-RCNN algorithm model was built to obtain the imaging features. The relationships between HRCT imaging features and 2 h C-P, FC-P, HbA1c, gender, course of disease, age, and complications were analyzed comprehensively. The results showed that there were no significant differences in HRCT scores between male and female patients, patients of various ages, and patients with different HbA1c contents ( P > 0.05 ). As the course of disease and complications increased, HRCT scores of patients increased obviously ( P < 0.05 ). The HRCT score decreased dramatically with the increase in the contents of 2 h C-P and FC-P after the meal ( P < 0.05 ). In addition, the results of the Spearman rank correlation analysis showed that the course of disease and complications were positively correlated with the HRCT scores, while the 2 h C-P and FC-P levels after meal were negatively correlated with the HRCT scores. The receiver operating curve (ROC) showed that the accuracy, specificity, and sensitivity of HRCT imaging based on Faster-RCNN algorithm were 90.12%, 90.43%, and 83.64%, respectively, in diagnosing lung infection of patients with type 2 diabetes. In summary, the HRCT imaging features based on the Faster-RCNN algorithm can provide effective reference information for the diagnosis and condition assessment of lung infection in patients with type 2 diabetes.

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Section: Discussionmentioning

confidence: 99%

High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm

Tan

Han

2022

Computational and Mathematical Methods in Medicine

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“…2) and released through two mechanisms, as one for the posterior pituitary, the other for the anterior pituitary. As for the first mechanism, pro-AVP is produced in the magnocellular neurons of the supraoptic (SON) and paraventricular (PVN) hypothalamic nuclei, after that it is treated in the endoplasmic reticulum where the signal peptide is removed and carbohydrate chain is added [6]. This process is followed by axonal transport to the posterior pituitary gland where pro-AVP is subjected to enzymatic cleavages producing three diverse peptides, copeptin, AVP, and Neurophysin-2, as shown in Fig.…”

Section: Basic Characteristics Of Avpmentioning

confidence: 99%

RETRACTED ARTICLE: Review novel insights into the diagnostic and prognostic function of copeptin in daily clinical practice

Wang

et al. 2023

Mol Biol Rep

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As is shown in previous reports, arginine vasopressin (AVP), as one of the most important hormones within circulation in human beings, is of great clinically significance given that it could maintain the body fluid balance and vascular tone. However, the laboratory measurements AVP in daily clinical practice are shown to be difficult and with low accuracy. Concerning on this notion, it is unpractical to use the serum levels of AVP in diagnosing multiple diseases. On the other hand, another key serum biomarker, copeptin, is confirmed as the C-terminal of the AVP precursor which could be released in equal amounts with AVP, resultantly making it as a sensitive marker of arginine vasopressin release. Notably, emerging recent evidence has demonstrated the critical function of copeptin as a clinical indicator, especially in the diagnosis and prognosis of several diseases in diverse organs, such as cardiovascular disease, kidney disease, and pulmonary disease. In addition, copeptin was recently verified to play an important role in diagnosing multiple acute diseases when combined it with other gold standard serum biomarkers, indicating that copeptin could be recognized as a vital disease marker. Herein, in the current review, the functions of copeptin as a new predictive diagnostic and prognostic biomarker of various diseases, according to the most recent studies, are well summarized. Furthermore, the importance of using copeptin as a serum biomarker in diverse medical departments and the impact of this on improving healthcare service is also summarized in the current review.

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“…As a public health problem, DM places a heavy burden on the economic and medical systems[ 5 ]. Without timely and effective treatment, patients with DM are prone to various complications, such as cardiovascular diseases, nephropathy, retinopathy, and neuropathy, which seriously compromise the quality of life and lifespan of the patients[ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Effects of vitamin D supplementation on glucose and lipid metabolism in patients with type 2 diabetes mellitus and risk factors for insulin resistance

Sun,

Lu,

et al. 2023

World J Diabetes

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Diabetes mellitus is one of the most common causes of chronic kidney disease. Kidney involvement in patients with diabetes has a wide spectrum of clinical presentations ranging from asymptomatic to overt proteinuria and kidney failure. The development of kidney disease in diabetes is associated with structural changes in multiple kidney compartments, such as the vascular system and glomeruli. Glomerular alterations include thickening of the glomerular basement membrane, loss of podocytes, and segmental mesangiolysis, which may lead to microaneurysms and the development of pathognomonic Kimmelstiel-Wilson nodules. Beyond lesions directly related to diabetes, awareness of the possible coexistence of nondiabetic kidney disease in patients with diabetes is increasing. These nondiabetic lesions include focal segmental glomerulosclerosis, IgA nephropathy, and other primary or secondary renal disorders. Differential diagnosis of these conditions is crucial in guiding clinical management and therapeutic approaches. However, the relationship between diabetes and the kidney is bidirectional; thus, new-onset diabetes may also occur as a complication of the treatment in patients with renal diseases. Here, we review the complex and multifaceted correlation between diabetes and kidney diseases and discuss clinical presentation and course, differential diagnosis, and therapeutic oppor-tunities offered by novel drugs.

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Adipsic diabetes insipidus

Cited by 7 publications

References 75 publications

High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm

High-Resolution Computer Tomography Image Features of Lungs for Patients with Type 2 Diabetes under the Faster-Region Recurrent Convolutional Neural Network Algorithm

RETRACTED ARTICLE: Review novel insights into the diagnostic and prognostic function of copeptin in daily clinical practice

Effects of vitamin D supplementation on glucose and lipid metabolism in patients with type 2 diabetes mellitus and risk factors for insulin resistance

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