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76-0.88) and was stable after bootstrapping. The temporal validation resulted in an area under the curve of 0.80 (95% confidence interval 0.67-0.93). Our prediction model had excellent discrimination power in predicting postoperative delirium in elderly patients and could assist intensive care physicians with early prevention.The medical and health industry has successively experienced three stages of digital medical treatment, local area network medical treatment, and internet medical treatment. With the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, emerging applications and service models have gradually penetrated into all aspects of the medical and health field. At this point, the informatization development process of the medical industry has entered the stage of smart medical treatment. (Smart medical system is a new medical system that improves users' medical experience and provides users with better services. Due to the cumbersome, complicated, and mechanically rigid environment of the past medical service, there was no uniform standard. In order to create a reliable and open medical service environment, an intelligent medical system came into being.). A diversified technical foundation and smart medical protection, conducive to providing patients with high-quality intracranial hematoma based on smart medicine can effectively improve the removal rate of intracranial hematoma, with a recovery rate of 26.73% and a significant efficiency of 36.49%.Physicians need to distinguish between pulmonary arteries and veins when diagnosing diseases such as chronic obstructive pulmonary disease (COPD) and lung tumors. However, manual differentiation is difficult due to various factors such as equipment and body structure. Unlike previous geometric methods of manually selecting the points of seeds and using neural networks for separation, this paper proposes a combined algorithm for pulmonary artery-vein separation based on subtree relationship by implementing a completely new idea and combining global and local information, anatomical knowledge, and two-dimensional region growing method. The algorithm completes the reconstruction of the whole vascular structure and the separation of adhesion points from the tree-like structure characteristics of blood vessels, after which the automatic classification of arteries and veins is achieved by using anatomical knowledge, and the whole process is free from human intervention. After comparing all the experimental results with the gold standard, we obtained an average separation accuracy of 85%, which achieved effective separation. Meanwhile, the time range could be controlled between 40 s and 50 s, indicating that the algorithm has good stability.Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately 10% of the world adult population. CKD is a disorder that disrupts normal kidney function. Due to the increasing number of people with CKD, effective prediction measures for the early diagnosis of CKD are required. The novelty of this study lies in developing the diagnosis system to detect chronic kidney diseases. This study assists experts in exploring preventive measures for CKD through early diagnosis using machine learning techniques. This study focused on evaluating a dataset collected from 400 patients containing 24 features. The mean and mode statistical analysis methods were used to replace the missing numerical and the nominal values. To choose the most important features, Recursive Feature Elimination (RFE) was applied. Four classification algorithms applied in this study were support vector machine (SVM), k-nearest neighbors (KNN), decision tree, and random forest. All the classification algorithms achieved promising performance. The random forest algorithm outperformed all other applied algorithms, reaching an accuracy, precision, recall, and F1-score of 100% for all measures. CKD is a serious life-threatening disease, with high rates of morbidity and mortality. Therefore, artificial intelligence techniques are of great importance in the early detection of CKD. These techniques are supportive of experts and doctors in early diagnosis to avoid developing kidney failure.

Patent ductus arteriosus (PDA) is one of the more common congenital heart defects in preterm neonates. The closure of PDA can be done with ibuprofen; however, this drug is associated with many contraindications and potential side-effects. Omaveloxolone In the past years, paracetamol has been proposed for the treatment of PDA. This study was designed to evaluate the efficacy and gastrointestinal complications of paracetamol and ibuprofen for the pharmacological closure of PDA in preterm infants.

In a clinical trial study, 40 preterm infants with echocardiographically confirmed PDA were randomly assigned to receive either paracetamol (

= 23; 15 mg/kg every 6 h for 2 days) or ibuprofen (

= 17; initial dose of 10 mg/kg, followed by 5 mg/kg every 12 h for 2 days). The neonates matched for gestational age and weight. We used

-test for parametric, Chi-square for categorial, and Wilcoxson for nonparametric variables. Significant level was considered less than 0.05.

Platelet count, BUN and creatinine levels, and closure of PDA had not significant difference between two groups (

> 0.05). Incidence and severity of GI bleeding, feeding intolerance, and NEC were significantly more in infants who received paracetamol than ibuprofen (

< 0.05).

There were no differences in the rate of PDA closure between the two drugs, but with respect to complications, rate and severity of GI bleeding, feeding intolerance, and NEC were significantly more in infants who received paracetamol than ibuprofen. Therefore, paracetamol could not be used as a proper alternative agent for ibuprofen in the treatment of PDA in preterm infants.

There were no differences in the rate of PDA closure between the two drugs, but with respect to complications, rate and severity of GI bleeding, feeding intolerance, and NEC were significantly more in infants who received paracetamol than ibuprofen. Therefore, paracetamol could not be used as a proper alternative agent for ibuprofen in the treatment of PDA in preterm infants.

The cardiovascular mortality rate in Iran has been reported 65% of all death recently. Despite the high prevalence of cardiovascular diseases (CVD) risk factors and its burden in developing countries, public awareness of CVD symptoms and its risk factors are very low, leading to poor control of these risk factors.

Our study is a cross-sectional study that was conducted in an undefined sample of 163 individuals who participated in a public health campaign. We used a validated questionnaire containing demographic, cardiovascular history, family history, lifestyle (exercise, smoking, alcohol, and environment), stress, sleep, bowel toxicity, blood sugar, inflammation/pain, and diet parts for estimating total cardiovascular risk factor.

52.7% of our participants were male. The mean age of our participants was 42.6 ± 47.27 years. Half of our participants (50.3%%) were between 30 and 60 years. 12.3% of the participants were diagnosed with CVD. 12.8% were smokers and 25.8% were passive smokers. 73% of our participants had a high level of stress in their individual and work life. 35.5% of participants sleep less than 6 h per night. Half of them complained of initial or intermittent insomnia. 51.5% of our participants were at high or very high risk for CVD with three or more relative risks. There was a significant association between total cardiovascular risk and blood pressure, weight, sleep, and lifestyle in our population.

More than half of our participants were on high or very high risk for CVD. The most common risk of CVD events in our participants is attributed to hypertension. Weight, sleep, and lifestyle were other modifiable risks that had a significant association with CVD in our study.

More than half of our participants were on high or very high risk for CVD. The most common risk of CVD events in our participants is attributed to hypertension. Weight, sleep, and lifestyle were other modifiable risks that had a significant association with CVD in our study.

It is known that some elements are needed for normal thyroid gland functions. Iodine and selenium are the most well-known trace elements necessary for thyroid metabolism. Selenium is involved in the formation of thyroid hormones and the structure of the deiodinases associated with the development of the thyroid gland. While the role of zinc in thyroid metabolism is at the T3 receptor level, the role of copper is yet not clear.

To compare the levels of serum trace elements such as selenium, zinc, and copper between the patients with euthyroid nodular goiter and healthy participants.

This cross-sectional study included 98 patients with euthyroid multinodular goiter and 83 healthy subjects without thyroid disease. The demographics, thyroid hormone levels, and thyroid ultrasonography of the participants were recorded. Venous blood samples were centrifuged and sera samples were stored at -80°C until analysis of selenium, zinc, and copper levels. The levels of trace elements were determined by inductively coupled plasma-mass spectrometry (ICP-MS).

While serum, zinc, and selenium levels were significantly higher in the control group than the nodular goiter group, the copper levels were similar in the two groups. Trace elements were not correlated with thyroid hormone levels and thyroid volumes. Patients in the nodular goiter group were analyzed according to their solitary and multiple nodule status. The solitary and multiple nodular goiter groups were similar in terms of copper, zinc, and selenium levels.

Deficiency of selenium and zinc may be associated with nodular goiter. Replacement of these trace elements may be useful for the prevention of nodular goiter, especially in deficient regions.

Deficiency of selenium and zinc may be associated with nodular goiter. Replacement of these trace elements may be useful for the prevention of nodular goiter, especially in deficient regions.

Glycation, inflammation, and oxidative stress are the cardinal motivators of diabetes vascular complications. Here, we studied the effect of eucalyptol (EUC) on the formation of atheromatous lesions, glycation, oxidative stress, and inflammatory markers as well as insulin resistance, lipid profile, and activity of glyoxalase-1 (GLO-I) in the atherosclerotic rat model.

Diabetic-atherosclerosis induced in rats with a combination of streptozotocin and atherogenic diet. Two groups of rats, normal and diabetic-atherosclerotic, were treated intragastrically with EUC (200 mg/kg) once daily for 3 months. Fasting blood sugar (FBS), insulin, insulin resistance index, lipid profile, the activity of GLO-I, low-density lipoprotein (LDL) glycation and oxidation markers, inflammatory markers, creatinine in the serum, and proteinuria in the urine of all rats were determined.

EUC inhibited the formation of any atheromatous lesions in atherosclerotic rats. Further, EUC displayed the lowering effect on glycemia, insulin resistance, LDL glycation, and oxidation products, and tumor necrosis factor (TNF)-α as well as it exhibited the improving effect on lipid profile, the activity of GLO-I, and renal function in the diabetic rat (

< 0.001).

EUC prevented the formation of the atheromatous lesions and improved renal function in the atherosclerotic rat model due to a reduction of glycation, oxidative stress, and inflammatory mediators.

EUC prevented the formation of the atheromatous lesions and improved renal function in the atherosclerotic rat model due to a reduction of glycation, oxidative stress, and inflammatory mediators.