ObjectiveTo observe the short-term and long-term efficacy of traditional Chinese medicine （TCM） surgical operations in treating mixed hemorrhoids. MethodsA multi-center retrospective cohort study was conducted， collecting clinical data from 17，831 mixed hemorrhoid surgery patients in 8 top-tier TCM hospitals in Jiangsu Province. Standardized and structured datasets were obtained through artificial intelligence models. Patients who underwent western surgical treatment were categorized into the western surgery group （11,646 cases）， and those receiving TCM surgical operations were categorized into the TCM surgery group （6185 cases）. Propensity score matching （1∶1 matching） was used to balance baseline data between groups. The primary outcome was the one-year recurrence rate， and secondary outcomes included the main symptoms （rectal bleeding， degree of prolapse） and secondary symptoms （anal distension， anal edema， wound secretion and exudation， anal stenosis， residual skin tags， perianal itching， and anal pain） measured on days 7， 28， and 60 after discharge. ResultsAfter matching， 2194 patients were included in each group. Symptom scores showed that at 28 days after discharge， the TCM surgical group had superior improvement in rectal bleeding ［OR=5.786， 95%CI （3.092，10.827）］， degree of prolapse ［OR=4.510， 95%CI （1.649，12.333）］， and anal edema ［OR=3.188， 95%CI （1.295，7.845）］ compared to the western surgical group. At 60 days post-discharge， the TCM group still showed advantages in improving rectal bleeding ［OR=5.237， 95%CI （1.077，25.464）］ and anal pain ［OR=11.697， 95%CI （1.186，115.336）］ （P＜0.05）. Long-term follow-up showed that the one-year recurrence rate in the TCM surgery group was 1.1% （8/726）， while that in the western surgery group was 2.3% （10/444）， with no statistically significant difference between the two groups （P＞0.05）. ConclusionBased on real-world data， TCM surgical treatment for mixed hemorrhoids shows significant short-term symptom improvement， particularly in terms of hemostasis， reducing swelling， and alleviating prolapse of anal masses.

Objective This study aimed to investigate the seasonal variation of mosquitoes in Yantai, Shandong Province, and provide a scientific basis for mosquito and mosquito-borne disease control. Methods From March to November for each of the years between 2020 and 2023, adult mosquitoes were collected from different habitats, including parks, hospitals, urban residential areas, rural households and livestock sheds, in 13 counties of Yantai City using a mosquito trap lamp method, among which, female mosquitoes were separated and identified, and the numbers were counted. We used the circular distribution method to analyze the temporal distribution characteristics of mosquito density. Results The γ values obtained for mosquitoes in Yantai from 2020 to 2023, the distribution of mosquitoes in different habitats, and dominant mosquito species in different months showed strong seasonality, with values ranging from 0.7461 to 0.8531(P ＜ 0.05). The peak period of seasonal variation in mosquitoes occurred from June 28thto September 13th, with August 5thbeing identified as the peak day. The peak periods of seasonal variation in mosquitoes in residential areas, parks, hospitals, peasant households, and animals sheds were observed from June 24thto September 14th, June 25thto September 10th, June 22ndto September 12th, July 1stto September 9th, and July 2ndto September 17th, respectively, with corresponding peak days on August 4th,3rd, 2nd, 5th, and 9th, respectively. The peak periods of Culex pipiens pallens, Aedes albopictus, and Anopheles sinensis were from June 26thto September 11th, June 28thto September 17th, and July 12thto September 17th, respectively, with corresponding peak days on August 3rd,7th, and 14th, respectively. Conclusions Our findings in this study revealed that the peak of mosquito activity in Yantai was concentrated in early August, with a peak period extending from June 28thto September 13th, and there were differences between different habitats(with peak periods for rural households and livestock sheds occurring later than those in residential areas, parks, and hospitals). Moreover, with respect to the mosquito species, populations of Cx. pipiens pallens and Ae. albopictus peaked earlier than those of An. sinensis. Based on these findings, we recommend that city-wide mosquito control work should commence in late June, and include appropriate early prevention and control measures for key habitats, such as livestock sheds, and dominant mosquito species, such as Cx. pipiens pallens, to minimize the density of mosquito vectors and the risk of disease transmission.

End-stage liver disease (ESLD) covers the end-stage of acute and chronic liver diseases, mainly involving decompensated cirrhosis, various types of liver failure, and advanced liver cancer. Hepatocyte transplantation has shown promise in treating ESLD, but its clinical application is hampered by the shortage of donor hepatocytes. Cell therapy, an emerging effective treatment for ESLD, faces the same limitation due to scarce hepatocyte availability. Hepatocyte-like cells (HLCs), which are terminally differentiated cells, can be induced from both stem cells and somatic cells. As HLCs exhibit the morphology and function of primary hepatocytes, they offer a promising supplementary source of hepatocytes for cell therapy. First, we provide a background for the differentiation and maturation of primary hepatocytes. Subsequently, based on the current insights into the molecular pathways that regulate hepatocyte differentiation in vivo, we describe a strategy for establishing HLC derived from either stem cells or somatic cells. The key characteristics of these HLCs are also detailed. Furthermore, HLC offers therapeutic potential for liver failure, and HLC-based liver organoids and bioartificial liver systems have demonstrated the ability to provide liver functions, offering an innovative approach to treating various types of ESLD. Despite their promise, challenges such as efficiency in differentiation and functional maturation need to be addressed to improve the clinical application of HLCs. This review discusses these advancements and outlines the therapeutic potential and current challenges of HLC therapy for ESLD.

Objective: To explore the association between executive function and emotional and behavioral problems in first-grade elementary school students, so as to provide a reference for promoting children s mental health. Methods: From March to May 2024, 423 first-grade elementary school students from 6 primary schools aged 6-7 were selected by using stratified cluster random sampling in Shanxi, Shanghai, Shandong, Guangxi, Xinjiang, and Jiangxi. Data were collected by using the Executive Function Assessment Scale and the Strengths and Difficulties Questionnaire. An independent samples t-test was used to analyze differences in executive function of different genders and differences in emotional and behavioral problems among first-grade school students with varying executive function levels; a linear regression model was employed to analyze the association between children s executive function and emotional and behavioral problems. Results: A total of 42 first-grade elementary school students (9.9%) were identified as having executive function deficits. Students in the executive function deficit group scored higher on internalizing behavior (7.50±0.52), externalizing behavior (11.26±0.52), and total difficulties (18.52± 0.93 ) were significantly higher than those of children without deficits (4.37±0.14, 6.69±0.17, 10.64±0.27) ( t =5.79, 8.50, 9.23, all P <0.05). Results of linear regression analysis showed that, after controlling for relevant covariates such as gender, age, family economic status, being an only child, and body mass index, the factor scores, dimensional scores, and total scores of executive function were all positively correlated with scores for externalizing problems, internalizing problems, and total difficulties ( β =0.07-0.32, all P <0.05). Conclusions Children s executive function is closely associated with emotional and behavioral problems, and those with poorer executive function exhibit more pronounced emotional and behavioral problems. Improving children s executive function may help promote their mental health.

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.

Background: and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture. Methods: A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture. Results: The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05). Conclusion The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

Objective To assess the effectiveness of the Gasdermin D C-terminal fragment(GSDMD-CT)as a novel plasma biomarker for the clinical diagnosis of sepsis.Methods Between July 2021 and November 2024,245 patients from Tangshan Gongren Hospital were enrolled in this study.In accordance with the diagnostic criteria for sepsis and the systemic inflammatory response syndrome(SIRS),patient samples were classified into the sepsis group and the SIRS group.Meanwhile,healthy individuals were selected as the healthy control(HC)group.Sepsis patients were further categorized into the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group based on the type of pathogen infection.The levels of GSDMD-CT,C-reactive protein(CRP),and procalcitonin(PCT)were measured in all subjects.Nonparametric tests were employed to compare the differences in various indices among different groups.The diagnostic value of GSDMD-CT in sepsis was evalu-ated by constructing the receiver operating characteristic(ROC)curve.Spearman's correlation analysis was used to examine the relationships among GSDMD-CT,CRP,and PCT.Results The plasma GSDMD-CT levels in the sepsis group 23.02(16.71,33.01)pg/mL and in the SIRS group 16.52(11.26,22.22)pg/mL were significantly higher than those in the healthy control group 7.02(4.42,11.43)pg/mL(U=-10.175,-7.890,P<0.001).Moreover,the plasma GSDMD-CT levels in the sepsis group were significantly higher than those in the SIRS group(U=-2.941,P<0.05).In the Gram-positive bacterial group,the Gram-negative bacterial group,and the fungal group,the GSDMD-CT levels were 23.01(17.16,27.51)pg/mL,23.41(16.78,35.50)pg/mL,and 16.29(14.53,56.27)pg/mL,respectively.When compared with the healthy control group,the GSDMD-CT levels in these three groups were all significantly higher(P<0.05).However,there were no significant differences in GSDMD-CT levels among these three groups(P>0.05).The area under the curve(AUC)of plasma GSDMD-CT for diagnosing sepsis was 0.881(95%confidence interval:0.833～0.929),with a Youden index(YI)of 0.695,a sensitivity of 85.0%,and a specificity of 84.5%.Spearman correlation analysis indicated a weak correlation between GSDMD-CT and C-reactive protein(CRP)(r=0.32,P<0.001)and a positive correlation between GSDMD-CT and procalci-tonin(PCT)(r=0.65,P<0.001).Conclusion GSDMD-CT exhibits significant clinical value in the diagnosis of sepsis and holds great potential as a biomarker in the diagnostic process of sepsis.

With the aging of the population,the disease burden of heart valve disease in China has significantly increased.In recent years,the interventional treatment for heart valve disease has flourished,among which transcatheter aortic valve replacement(TAVR)has become the first-line treatment for elderly patients with aortic valve stenosis.China started relatively late in the field of interventional treatment for heart valve disease.The construction of heart valve centers helps to standardize the diagnosis and interventional treatment of heart valve disease in China and improve the management of prognosis for patients.Up to December 2024,a total of 453 centers have participated in the construction of heart valve centers,including 100 construction centers and 40 certification centers.The National Transcatheter Valve Therapeutics Registry(NTCVR)database has reported a total of 28 594 cases,with approximately 50％of Chinese TAVR cases recorded in NTCVR database.The construction of the heart valve centers has shown initial results,significantly optimizing the process of diagnosis and treatment of heart valve disease and improving the prognosis.At present,there are still many shortcomings in the construction of heart valve centers.For example,the follow-up rate of patients after discharge is low,and long-term management after discharge needs to be further improved.There is still a gap in some indicators between construction centers and certification centers,and the promotion of high-quality management of interventional treatment of heart valve disease in China is still a long way to go.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective The aim of this study was to explore the mechanism of Naotaifang(NFT)in preventing neuronal pyroptosis in cerebral ischemia-reperfusion injury(CIRI).Methods Firstly,a network Meta-analysis was conducted to compare the clinical efficacy of Naotaifang and dl-3-n-butylphthalide in treating ischemic stroke,and dl-3-n-butylphthalide was identified as the positive control drug in this study.Then,a rat CIRI model was established using the middle cerebral artery occlusion/reperfusion(MCAO/R)method.Sixty adult male SD rats were randomly divided into model group(Model group),low-dose Naotaifang group(NTF-L group),medium-dose Naotaifang group(NTF-M group),ahigh-dose Naotaifang group(NTF-H group),NBP group(NBP group),and a sham surgery group(Sham group)using a random number table method,with 10 rats in each group.After MCAO/R,rats received NTF(4.5 g/kg for NTF-L,9 g/kg for NTF-M,and 18 g/kg for NTF-H)or Nimodipine(60 mg/kg)or distilled water(Sham group and Model group)via gavage for seven consecutive days.Neurological function was evaluated using the Zea Longa method,infarct volume was assessed by TTC staining,and HE and Nissl staining were used to observe changes in neurons in the ischemic cortex.ELISA was used to measure serum IL-1β and IL-18 levels,and Western blot was used to detect caspase-1 and GSDMD expression in the ischemic cortex.Results Network Meta-analysis showed no significant difference in clinical efficacy,neurological function scores,and TXB2 expression between Nimodipine and NTF interventions.Animal experiments revealed that neurological scores of the Model group was significantly increased,the volume of cerebral infarction was significantly enlarged,the structure of nerve cells in the ischemic cortical area was destroyed,and the number of nerve cells and Nissl bodies was significantly reduced,and expressions of IL-1β,IL-18 inflammatory factors and caspase-1,and GSDMD focal proteins were significantly decreased(P<0.01).The NTF-H group significantly reduced neurological function scores and cerebral infarction volume of rats in the Model group,significantly improved morphology of nerve cells and the number of Nissl body,and significantly decreased the expressions of IL-1β,IL-18 inflammatory factors,caspase-1,and GSDMD necroptosis proteins(P<0.01).There was no significant difference between the NTF-H group and the NBP group in terms of neurological scores,volume of cerebral infarction,IL-1β,IL-18 levels,and caspase-1 and GSDMD protein expression(P>0.05).Conclusion Both NTF and Nimodipine have therapeutic effects on ischemic stroke patients,with no significant difference between them,making Nimodipine a suitable positive control drug.NTF may alleviate CIRI by reducing pyroptosis through the caspase-1/GSDMD signaling pathway.