ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

Objective To compare the application effects of simple artery ligation and modified inflation-deflation method in determining the lung intersegment plane during thoracoscopic precision segmentectomy.Methods A total of 80 patients who underwent thoracoscopic precision segmentectomy in our hospital from August 2021 to February 2023 were prospectively included and divided into the observation group and the control group by random number table method,with 40 cases in each group.Patients in the observation group were determined the lung intersegment plane by simple artery ligation,while patients in the control group were determined the lung intersegment plane by modified inflation-deflation method.The perioperative related indexes,lung function indexes,postoperative complications and follow-up of patients between the two groups were compared.Results The operative time and blood loss of patients in the observation group were significantly shorter/lower than those in the control group(P<0.05).There was no significant difference in the time to reveal the interseg-mental planes, total drainage volume after operation, indwelling time of drainage tube, postoperative hospital stay or lung segmentectomy distribution of patients between the two groups (P>0. 05). The percentage of forced vital capacity to the predicted values (FVC％pred) and percentage of forced expiratory volume in 1 second to the predicted values (FEV1％pred) after operation of patients in the two groups were significantly decreased compared with those before operation (P<0. 05), and FVC％pred and FEV1％pred after operation of patients in the observation group were significantly higher than those in the control group (P<0. 05). There was no statistically significant difference in the occurrence of postoperative complications of patients between the two groups (P>0. 05). There was no death, local recurrence or distant metastasis occurred in all patients during follow-up. Conclusion Compared with the modified inflation-deflation method, the application of simple artery ligation to determine the intersegment plane during thoracoscopic precision segmentectomy has significant advantages such as simple operation, less injury, and less impact on the lung function of patients, which is a feasible and effective technique, with high safety.

Objective:To investigate the perioperative impact of closure of mesenteric fissure in laparoscopic right hemicolectomy.Methods:The prospective randomized controlled trial was conducted. The clinical data of 320 patients who underwent laparoscopic right hemicolectomy in 11 medical centers, including The First Affiliated Hospital of China Medical University et al, from November 2022 to August 2023 were selected. Based on block randomization, patients were alloca-ted into the mesenteric fissure non-closure group and the mesenteric fissure closure group. Observa-tion indicators: (1) grouping of the enrolled patients; (2) intraoperative conditions; (3) postopera-tive conditions. Measurement data with skewed distribution were represented as M( Q1, Q3) and com-parison between groups was conducted using the Mann-Whitney U test. Count data were represen-ted as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher's exact probability. Comparison of ordinal data was conducted using the rank sum test. Comparison of visual analog scores was analyzed using generalized estimating equations. Results:(1) Grouping of the enrolled patients. A total of 320 patients with colon cancer were screened for eligibility, including 156 males and 164 females, aged 68(59,73)years. All the 320 patients were allocated into the mesenteric fissure non-closure group with 164 cases and the mesenteric fissure closure group with 156 cases. There was no significant difference in the age, body mass index, American Society of Anesthesiologist score, maximum tumor diameter, anastomosis location, anastomosis method, surgical approach, range of lymph node dissection, tumor staging between the two groups ( P>0.05) and there was a significant difference in the sex between them ( P<0.05). (2) Intraoperative conditions. There was no significant difference between the mesenteric fissure closure group and the mesenteric fissure non-closure group in the volume of intraoperative blood loss, operation time, conversion to laparotomy, intraoperative complication ( P>0.05). Three patients in the mesenteric fissure non-closure group were converted to laparotomy. One patient in the mesenteric fissure closure group was converted to laparotomy, and 2 cases with intraoperative complication were mesenteric hematoma. (3) Postoperative conditions. There was no significant difference between the mesenteric fissure non-closure group and the mesenteric fissure closure group in the overall postoperative complications ( χ2=0.28, P>0.05). There was no significant difference in the occurrence of postoperative intestinal obstruction, abdominal distension, ascites, pleural effusion, gastric paralysis, anastomotic bleeding, anastomotic leakage, or surgical wound infection between the two groups ( P>0.05). There was no significant difference between the two groups in the reoperation, postoperative gastric tube replacement. There was no significant differ-ence in time to postoperative first flatus, time to postoperative initial liquid food intake, time to post-operative resumption of bowel movements, duration of postoperative hospital stay, total hospital expenses between the two groups ( Z=-0.01, 0.43, 1.04, -0.54, -0.36, P>0.05). One patient in the mesenteric fissure non-closure group received reoperation. No perioperative internal hernia or death occurred in either group. The visual analog score decreased with time in both groups. There was no significant difference in the visual analog score between the mesenteric fissure closure group and the mesenteric fissure non-closure group [ β=-0.20(-0.53,0.13), P>0.05]. Conclusion:Compared with closure of mesenteric fissure, non-closure of mesenteric fissure during laparoscopic right hemi-colectomy dose not increase perioperative complications or postoperative management risk.

In view of the problem of slow development of intensive care medicine in Xizang, the research team made full use of the national partner assistance to Xizang, gathered resources across all cities in Xizang, and formed a national academic platform for critical care medicine in plateau areas. Adhering to the academic orientation with hemodynamics as the main topic, critical care ultrasound as the bedside dynamic monitoring and evaluation method, and blood flow-oxygen flow resuscitation as the core connotation, we have achieved the goals of improving the critical care talent echelon throughout Xizang, driving the overall progress of intensive care medicine in Xizang, making a figure in China, and focusing on training of top-notch talents.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult ; Humans ; Adolescent ; Imatinib Mesylate/adverse effects* ; Incidence ; Antineoplastic Agents/adverse effects* ; Retrospective Studies ; Pyrimidines/adverse effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Treatment Outcome ; Benzamides/adverse effects* ; Leukemia, Myeloid, Chronic-Phase/drug therapy* ; Aminopyridines/therapeutic use* ; Protein Kinase Inhibitors/therapeutic use*

The increasing prevalence of chronic kidney disease (CKD) is a major global public health concern. Despite the complicated pathogenesis of CKD, renal fibrosis represents the most common pathological condition, comprised of progressive accumulation of extracellular matrix in the diseased kidney. Over the last several decades, tremendous progress in understanding the mechanism of renal fibrosis has been achieved, and corresponding potential therapeutic strategies targeting fibrosis-related signaling pathways are emerging. Importantly, extracellular vesicles (EVs) contribute significantly to renal inflammation and fibrosis by mediating cellular communication. Increasing evidence suggests the potential of EV-based therapy in renal inflammation and fibrosis, which may represent a future direction for CKD therapy.

Humans ; COVID-19 ; Prone Position ; SARS-CoV-2 ; Patient Positioning

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens