Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

Background: s/Aims: Non-invasive models stratifying clinically significant portal hypertension (CSPH) are limited. Herein, we developed a new non-invasive model for predicting CSPH in patients with compensated cirrhosis and investigated whether carvedilol can prevent hepatic decompensation in patients with high-risk CSPH stratified using the new model. Methods: Non-invasive risk factors of CSPH were identified via systematic review and meta-analysis of studies involving patients with hepatic venous pressure gradient (HVPG). A new non-invasive model was validated for various performance aspects in three cohorts, i.e., a multicenter HVPG cohort, a follow-up cohort, and a carvediloltreating cohort. Results: In the meta-analysis with six studies (n=819), liver stiffness measurement and platelet count were identified as independent risk factors for CSPH and were used to develop the new “CSPH risk” model. In the HVPG cohort (n=151), the new model accurately predicted CSPH with cutoff values of 0 and –0.68 for ruling in and out CSPH, respectively. In the follow-up cohort (n=1,102), the cumulative incidences of decompensation events significantly differed using the cutoff values of <–0.68 (low-risk), –0.68 to 0 (medium-risk), and >0 (high-risk). In the carvediloltreated cohort, patients with high-risk CSPH treated with carvedilol (n=81) had lower rates of decompensation events than non-selective beta-blockers untreated patients with high-risk CSPH (n=613 before propensity score matching [PSM], n=162 after PSM). Conclusions Treatment with carvedilol significantly reduces the risk of hepatic decompensation in patients with high-risk CSPH stratified by the new model.

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 observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective To observe the effect of omeprazole enteric-coated capsules on clinical symptoms and serum inflammatory factor levels in children with chronic gastritis and peptic ulcer.Methods Children with chronic gastritis and peptic ulcer were divided into treatment group and control group by random number table method.The control group was given triple therapy of ranitidine hydrochloride tablets,amoxicillin and clarithromycin,while the treatment group was treated with omeprazole enteric-coated capsules combined with amoxicillin and clarithromycin.Clinical efficacy,symptom relief time,and changes in serum motilin(MOT),gastrin(GAS)and inflammatory factors[interlrukin-6(IL-6)and interlrukin-8(IL-8)]were compared between the two groups.Results There were 48 cases in treatment group and 48 cases in control group.After treatment,the total effective rates in treatment group and control group were 93.74％(45 cases/48 cases)and 85.42％(41 cases/48 cases),with significant difference(P＜0.05).After treatment,the disappearance time of ulcer induced pain in treatment group and control group were(1.51±0.26)and(2.08±0.42)d;the disappearance time of acid regurgitation were(2.29±0.40)and(2.93±0.33)d;the disappearance time of burning sensation were(2.37±0.21)and(2.85±0.54)d;the length of hospital stay were(6.21±1.07)and(6.94±1.25)d;serum MOT levels were(298.48±35.15)and(273.58±31.25)pg·mL-1;serum GAS levels were(167.28±19.46)and(128.32±18.61)ng·L-1;IL-6 levels were(58.67±5.39)and(76.14±6.63)mg·mL-1;IL-8 levels were(50.08±5.16)and(58.68±5.49)mg·mL-1.The above indexes were significantly different between control group and treatment group(all P＜0.05).The total incidence of adverse drug reactions in treatment group and control group were 8.33％and 12.50％,with no statistical significance(P＞0.05).Conclusion Omeprazole enteric-coated capsules in the treatment of children with chronic gastritis and peptic ulcer can effectively alleviate various clinical symptoms and improve clinical efficacy.At the same time,it can lower serum levels of inflammatory factors and improve inflammation,with good effect.

Objective To observe the effects of matrine on the proliferation,migration,and invasion of human neuroblastoma cells,and to investigate its potential mechanism.Methods This study was divided into AS experimental group(SK-N-AS cells treated with IC50 concentration of matrine),AS blank group(SK-N-AS cells cultured under normal conditions),AS control group(SK-N-AS cells treated with an equal amount of dimethyl sulfoxide),DZ experimental group(SK-N-DZ cells treated with IC50 concentration of matrine),DZ blank group(SK-N-DZ cells cultured under normal conditions),and DZ control group(SK-N-DZ cells treated with an equal amount of dimethyl sulfoxide).Scratch assay and Transwell chamber were used to measure the effect of matrine on the migration and invasion.The expression of E-cadherin,N-cadherin and Vimentin were tested by Western blot.Results After different intervention,the migration percentages of AS blank group,AS control group,AS experimental group,DZ blank group,DZ control group and DZ experimental group were(66.32±3.12)％,(65.27±3.44)％,(23.73±0.79)％,(46.25±4.68)％,(44.15±5.60)％and(16.77±3.52)％,respectively;the number of invasive cells were 870.45±19.32,865.32±23.39,492.74±16.81,1 198.10±43.71,1 203.03±71.91 and 891.69±42.62,respectively;the expression levels of E-cadherin protein were(100.00±11.72)％,(105.65±13.11)％,(477.20±29.71)％,(100.00±12.54)％,(97.78±12.77)％and(240.53±12.23)％,respectively;the expression levels of N-cadherin protein were(100.00±15.44)％,(103.90±10.76)％,(43.52±9.96)％,(100.00±10.12)％,(104.95±10.49)％and(38.39±8.70)％,respectively;Vimentin protein expression levels were(100.00±9.51)％,(97.39±11.33)％,(59.13±10.25)％,(100.00±13.20)％,(96.27±11.01)％and(47.67±9.48)％,respectively.There were statistically significant differences in the above indexes between the AS group and the AS blank group(P＜0.01,P＜0.001),and there were statistically significant differences between the above indexes in the DZ group and the DZ blank group(P＜0.01,P＜0.001).Conclusion Matrine inhibits the proliferation,migration,and invasion of neuroblastoma SK-N-AS and SK-N-DZ cells,potentially through suppressing epithelial-mesenchymal transition.

Ankylosing spondylitis (AS) combined with lower cervical fracture is often categorized into unstable fracture, with a high incidence of neurological injury and a high rate of disability and morbidity. As factors such as shoulder occlusion may affect the accuracy of X-ray imaging diagnosis, it is often easily misdiagnosed at the primary diagnosis. Non-operative treatment has complications such as bone nonunion and the possibility of secondary neurological damage, while the timing, access and choice of surgical treatment are still controversial. Currently, there are no clinical practice guidelines for the treatment of AS combined with lower cervical fracture with or without dislocation. To this end, the Spinal Trauma Group of Orthopedics Branch of Chinese Medical Doctor Association organized experts to formulate Clinical guidelines for the treatment of ankylosing spondylitis combined with lower cervical fracture in adults ( version 2024) in accordance with the principles of evidence-based medicine, scientificity and practicality, in which 11 recommendations were put forward in terms of the diagnosis, imaging evaluation, typing and treatment, etc, to provide guidance for the diagnosis and treatment of AS combined with lower cervical fracture.

Background: Genetic defects in the human thyroid-stimulating hormone (TSH) receptor (TSHR) gene can cause congenital hypothyroidism (CH). However, the biological functions and comprehensive genotype–phenotype relationships for most TSHR variants associated with CH remain unexplored. We aimed to identify TSHR variants in Chinese patients with CH, analyze the functions of the variants, and explore the relationships between TSHR genotypes and clinical phenotypes. Methods: In total, 367 patients with CH were recruited for TSHR variant screening using whole-exome sequencing. The effects of the variants were evaluated by in-silico programs such as SIFT and polyphen2. Furthermore, these variants were transfected into 293T cells to detect their Gs/cyclic AMP and Gq/11 signaling activity. Results: Among the 367 patients with CH, 17 TSHR variants, including three novel variants, were identified in 45 patients, and 18 patients carried biallelic TSHR variants. In vitro experiments showed that 10 variants were associated with Gs/cyclic AMP and Gq/11 signaling pathway impairment to varying degrees. Patients with TSHR biallelic variants had lower serum TSH levels and higher free triiodothyronine and thyroxine levels at diagnosis than those with DUOX2 biallelic variants. Conclusions We found a high frequency of TSHR variants in Chinese patients with CH (12.3%), and 4.9% of cases were caused by TSHR biallelic variants. Ten variants were identified as loss-of-function variants. The data suggest that the clinical phenotype of CH patients caused by TSHR biallelic variants is relatively mild. Our study expands the TSHR variant spectrum and provides further evidence for the elucidation of the genetic etiology of CH.

The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in-depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.