WD repeat domain 1(WDR1)is a highly conserved cytoskeleton-associated protein that plays a crucial role in physiological processes such as actin cytoskeleton remodeling,dynamic regulation of intercellular junctions,cell division,and migration.WDR1 exhibits abnormal high ex-pression in various malignant tumors,including breast cancer,ovarian cancer,and thyroid cancer,and has been demonstrated to significantly promote the invasive and migratory capabilities of tumor cells,suggesting its important role in the malignant progression of tumors.Moreover,the expression level of WDR1 is closely related to the clinical prognosis of patients with multiple malignant tumors.Especially in patients with esophageal cancer and osteosarcoma,its high expression often indicates a poor overall survival rate.WDR1 can promote tumor initiation and progression by regulating the Wnt/β-Catenin signaling pathway and the Hippo-YAP signaling pathway.Meanwhile,its expression is also subject to multi-level regulation by transcription activation factors and long non-coding RNAs(lncR-NAs),thereby influencing the proliferation,migration,and other biological behaviors of tumor cells.Additionally,WDR1 can further drive the invasive growth and metastatic potential of tumors by regu-lating the epithelial-mesenchymal transition(EMT)process.This article aimed to systematically re-view the research progress in recent years regarding the biological functions and molecular mechanisms of WDR1 in tumor initiation and development,with a view to providing new theoretical foundations and research directions for the early diagnosis,prognosis assessment,and individualized treatment of clinical tumors.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.

Objective:To investigate the abnormal patterns of spontaneous neural activity of patients with type 2 diabetes comorbid depression (T2DD) by using resting-state functional magnetic resonance imaging (rs-fMRI) fractional amplitude of low-frequency (fALFF) analysis, and determine the neuroimaging features of brain damage in T2DD patients.Methods:A perspective study was performed. Fifty-nine type 2 diabetes mellitus (T2DM) patients and 52 T2DD patients, admitted to and accepted treatment in Department of Endocrinology of our hospital from November 2017 to November 2020, were chosen; another 57 healthy controls matched with gender, age and education level, admitted to our hospital at the same time period were enrolled. Their clinical data, neuropsychological test and rs-fMRI data were collected; whole brain fALFF values were calculated, and fALFF values of different brain regions were compared in subjects of the 3 groups. Pearson correlation analysis was used to verify the correlations of fALFF values with clinical variables and neuropsychological scale scores.Results:The fALFF values in bilateral precuneus showed significant difference among the three groups ( P<0.05). The fALFF values in bilateral precuneus of the T2DD and T2DM groups were significantly lower than those in heathy control group ( P<0.05), and those in the T2DD group were lower than those in the T2DM group without significant difference ( P>0.05). Pearson correlation analysis showed that there were no correlations of fALFF values with clinical data and psychometric scale scores in T2DD group and T2DM group ( P>0.05). Conclusion:The abnormal patterns of spontaneous brain activity in the bilateral precuneus may be the neuroimaging markers of brain damage in T2DD patients.

Objective: To evaluate the efficacy and safety of nifekalan (NIF) on cardioversion in atrial fibrillation (AF) patients post radiofrequency ablation, and investigate the relevant factors related to the cardioversion efficacy of NIF. Methods: We screened patients with sustained AF rhythm after radiofrequency ablation between November 2016 and July 2018. Participants were treated with intravenous NIF 0.4 mg/kg within 5-10 minutes after ablation. We observed the adverse reaction, and monitored the rhythm, heart rate, QT interval and QTc interval before the medication and at 5, 10, 20, 120 min after the medication. According to the drug outcome of NIF, patients were divided into conversion group and non-conversion group, related factors affecting conversion efficacy were evaluated using logistic regression analysis. Results: (1)A total of 116 patients were enrolled in the study (63 males and 53 females, mean age was (64±18) years). Among them, 72 patients were converted to sinus rhythm, and the overall successful rate was 62.1%. There were 84 patients with persistent AF, of which 50 cases (59.2%) were restored to sinus rhythm. There were 32 patients with paroxysmal AF, 22 cases (68.8%) of them were restored to sinus rhythm. The conversion time was 1.5 to 12 (6.8±3.4)min. (2) In 116 patients, the QT interval and QTc interval were significantly longer after medication than before the drug administration (P<0.01), and peaked at about 10th min, and restored to the level before drug administration at about 120th min. (3) There were 8 cases of bradycardia (6.9%), 3 cases of frequent and short ventricular tachycardia (2.6%). (4) The duration of atrial fibrillation was shorter and left atrial diameter was smaller in the cardioversion group than in the non-cardioversion group (both P<0.05). There were no significant differences in gender, disease history, atrial fibrillation type and structural heart disease between the two groups (P>0.05). (5) Multifactorial logistic regression analysis showed that the duration of atrial fibrillation (OR=0.980, 95%CI 0.966-0.994, P=0.004) and the left atrial diameter (OR=0.888, 95%CI 0.814-0.967, P=0.007) were the factors that influence the cardioversion efficacy of NIF on atrial fibrillation post ablation. Conclusions The total effective rate of NIF was 62.1% in patients witrh sustained AF post radiofrequency ablation, was 68.8% in patients with paroxysmal AF. Besides, NIF has the advantage of short conversion time and few adverse reactions. Left atrium diameter and AF duration were relevant factors that influence the efficacy of NIF of cardioversion in patients with sustained AF after radiofrequency ablation.

Electrocardiogram (ECG) signals are easily disturbed by internal and external noise, and its morphological characteristics show significant variations for different patients. Even for the same patient, its characteristics are variable under different temporal and physical conditions. Therefore, ECG signal detection and recognition for the heart disease real-time monitoring and diagnosis are still difficult. Based on this, a wavelet self-adaptive threshold denoising combined with deep residual convolutional neural network algorithm was proposed for multiclass arrhythmias recognition. ECG signal filtering was implemented using wavelet adaptive threshold technology. A 20-layer convolutional neural network (CNN) containing multiple residual blocks, namely deep residual convolutional neural network (DR-CNN), was designed for recognition of five types of arrhythmia signals. The DR-CNN constructed by residual block local neural network units alleviated the difficulty of deep network convergence, the difficulty in tuning and so on. It also overcame the degradation problem of the traditional CNN when the network depth was increasing. Furthermore, the batch normalization of each convolution layer improved its convergence. Following the recommendations of the Association for the Advancements of Medical Instrumentation (AAMI), experimental results based on 94 091 2-lead heart beats from the MIT-BIH arrhythmia benchmark database demonstrated that our proposed method achieved the average detection accuracy of 99.034 9%, 99.498 0% and 99.334 7% for multiclass classification, ventricular ectopic beat (Veb) and supra-Veb (Sveb) recognition, respectively. Using the same platform and database, experimental results showed that under the comparable network complexity, our proposed method significantly improved the recognition accuracy, sensitivity and specificity compared to the traditional deep learning networks, such as deep Multilayer Perceptron (MLP), CNN, etc. The DR-CNN algorithm improves the accuracy of the arrhythmia intelligent diagnosis. If it is combined with wearable equipment, internet of things and wireless communication technology, the prevention, monitoring and diagnosis of heart disease can be extended to out-of-hospital scenarios, such as families and nursing homes. Therefore, it will improve the cure rate, and effectively save the medical resources.
Algorithms ; Arrhythmias, Cardiac ; diagnosis ; Electrocardiography ; Heart Rate ; Humans ; Neural Networks (Computer) ; Sensitivity and Specificity

Objective To evaluate the efficacy and safety of nifekalan (NIF) on cardioversion in atrial fibrillation (AF) patients post radiofrequency ablation, and investigate the relevant factors related to the cardioversion efficacy of NIF. Methods We screened patients with sustained AF rhythm after radiofrequency ablation between November 2016 and July 2018. Participants were treated with intravenous NIF 0.4 mg/kg within 5-10 minutes after ablation. We observed the adverse reaction, and monitored the rhythm, heart rate, QT interval and QTc interval before the medication and at 5, 10, 20, 120 min after the medication. According to the drug outcome of NIF, patients were divided into conversion group and non?conversion group, related factors affecting conversion efficacy were evaluated using logistic regression analysis. Results (1)A total of 116 patients were enrolled in the study (63 males and 53 females, mean age was (64±18) years). Among them, 72 patients were converted to sinus rhythm, and the overall successful rate was 62.1%. There were 84 patients with persistent AF, of which 50 cases (59.2%) were restored to sinus rhythm. There were 32 patients with paroxysmal AF, 22 cases (68.8%) of them were restored to sinus rhythm. The conversion time was 1.5 to 12 (6.8±3.4)min. (2) In 116 patients, the QT interval and QTc interval were significantly longer after medication than before the drug administration (P<0.01), and peaked at about 10th min, and restored to the level before drug administration at about 120th min. (3) There were 8 cases of bradycardia (6.9%), 3 cases of frequent and short ventricular tachycardia (2.6%). (4) The duration of atrial fibrillation was shorter and left atrial diameter was smaller in the cardioversion group than in the non?cardioversion group (both P<0.05). There were no significant differences in gender, disease history, atrial fibrillation type and structural heart disease between the two groups (P>0.05). (5) Multifactorial logistic regression analysis showed that the duration of atrial fibrillation ( OR=0.980, 95%CI 0.966-0.994, P=0.004) and the left atrial diameter ( OR=0.888, 95%CI 0.814-0.967, P=0.007) were the factors that influence the cardioversion efficacy of NIF on atrial fibrillation post ablation. Conclusions The total effective rate of NIF was 62.1% in patients witrh sustained AF post radiofrequency ablation, was 68.8% in patients with paroxysmal AF. Besides, NIF has the advantage of short conversion time and few adverse reactions. Left atrium diameter and AF duration were relevant factors that influence the efficacy of NIF of cardioversion in patients with sustained AF after radiofrequency ablation.

Objective: To discuss the prevalence and influential factors of stroke among population in Jiangxi Province. Methods: Four cities in urban areas and four counties in rural areas were selected firstly, in which two districts or townships were selected; and then three communities or villages were chosen from each district and township, respectively, using the simple random sampling (SRS) method. Finally 15 269 subjects aging 15 years old or above, living in Jiangxi Province ≥6 months were randomly selected to participate in this survey from November 2013 to August 2014. Information of population characteristics, life behavior way, individual disease history were collected through questionnaire survey, and height, weight, waist circumference, blood pressure, body fat rate, visceral fat index and so on were measured by instruments. Risk factors of stroke prevalence were analyzed by the unconditioned logistic regression analysis. Results: A total of 15 269 participants (6 267 males) from 15 364 eligible participants were included in the statistical analysis. Out of which, 7 793 participants came from urban areas, and their average age was (53.04±17.91) years old. In this study, 226 stroke patients (117 males) were found among15 269 participants, including 122 urban participants and 104 rural participants, whose average age was (67.76±9.74) years old. The prevalence of stroke was 1 480.12/100 000 in 2014, which was separately 1 866.92/100 000 and 1 210.84/100 000 among males and females. The prevalence of people aging (45-49) years old was 413.79/100 000 (6/1 450) , while which among people aging 75 years old and above was 3 311.62/100 000 (61/1 842) . The prevalence of stroke among residents in Jiangxi presented an uprising tendency with age increasing (linear-by-linear association χ²=62.23, P<0.01). The research showed that when other influencing factors including gender, BMI, waist circumference, pulse-pressure difference, VAI, and sleeping time in non-working days were controlled, hypertensive patients had a higher risk of stroke than people without hypertension (OR=6.88, 95%CI: 4.90-9.67), drinkers had a higher risk of stroke than non-drinkers (OR=1.56, 95%CI: 1.17-2.08), compared with people <65 years old, people aged 65-74 years old and ≥75 years old had a higher risk of stroke, the value of OR (95%CI) were 1.88 (1.36-2.59) and 1.97 (1.39-2.80), respectively, compared with people with normal body fat percentage, people whose body fat percentage on high side and people who with high body fat percentage had a higher risk of stroke, the value of OR (95%CI) were 1.71 (1.18-2.48) and 1.74 (1.18-2.56), respectively, people with sleep time >8 h had a higher risk of stroke than those with sleep time of 6-8 h. Conclusion There was a high stroke prevalence among residents in Jiangxi province. Hypertension, drinking, age, BFP and sleep duration were associated with stroke prevalence. Corresponding measures for high-risk population and risk factors should be strengthened to prevent and control the stroke.

Atherosclerosis is the main cause of coronary heart disease, Now it is thought that atherosclerosis is a chronic inflammatory disease.The ratio of Monocytes to high-density lipoprotein (MHR) is a new inflammatory marker of coronary atherosclerosis, which is measured simply and cheaply.MHR is associated with short-term and long-term incidence of cardiovascular events and morbidity of Coronary heart disease, which can be used as predictor of coronary heart disease prognosis.