Objective To analyze the epidemiological characteristics and spatiotemporal clustering of varicella in Lu'an City from 2005 to 2023, and to provide a scientific basis for optimizing varicella prevention and control strategies. Methods Data on varicella cases were collected through the Chinese Center for Disease Control and Prevention Information System. Descriptive epidemiology, temporal trend analysis, seasonal analysis, spatiotemporal clustering analysis, and spatial autocorrelation analysis were conducted using QGIS, JoinPoint, SaTScan and GeoDa software. Results The average annual reported incidence rate of varicella in Lu'an City from 2005 to 2023 was 34.55/100,000, showing a trend of initial increase followed by a decrease. The peak incidence occurred from October to January of the following year (RR=1.97, LLR=1743.95, P=0.001). Students aged 0 to 19 was the primary affected group. Spatiotemporal scan analysis revealed four types of spatiotemporal clusters, with the cluster in Jin'an District from October 2017 to December 2023 being particularly prominent (RR=2.87，LLR=1734.15，P<0.001). Spatial autocorrelation analysis indicated significant clustering of varicella cases in the main urban area (Moran's I=0.216，Z=4.786，P=0.003). Conclusion The incidence of varicella in Lu'an City exhibits distinct seasonal and spatial clustering, and schools and kindergartens in the main urban area are the key to varicella prevention and control. It is necessary to enhance the monitoring of disease outbreaks during peak periods and in key areas, and to increase the two-dose vaccination rate for varicella in areas with case aggregation and among key populations.

This study investigates the material basis and mechanism of Arisaematis Rhizoma Preparatum in the treatment of chronic obstructive pulmonary disease(COPD) using animal experiments, component analysis, network pharmacology, and molecular docking. A mouse model of COPD was constructed by cigarette smoke and lipopolysaccharide(LPS). Blood gas analysis was performed to measure the pH and partial pressure of carbon dioxide(PCO_2) in the blood of the mice. Lung tissue sections were analyzed using HE staining, and the effects of Arisaematis Rhizoma Preparatum water extract on inflammatory factors(TNF-α, IL-6, and IL-1β) and the PI3K/AKT signaling pathway in the lung tissue of COPD model mice were studied by qPCR and Western blot. The composition of the Arisaematis Rhizoma Preparatum water extract was analyzed using UPLC Q-Exactive Orbitrap MS. The SwissTargetPrediction database was used to predict the targets of the chemical components in Arisaematis Rhizoma Preparatum. GeneCards, OMIM, TTD, PharmGKB and DrugBank disease databases were used to screen for COPD targets, and the potential targets of Arisaematis Rhizoma Preparatum in treating COPD were identified. A protein-protein interaction(PPI) network of intersection targets was constructed and analyzed using the STRING database and Cytoscape 3.9.0, and core genes were screened. GO functional analysis and KEGG pathway enrichment analysis were performed using R language, and molecular docking verification was conducted using AutoDock Vina software. The results of the animal experiments showed that Arisaematis Rhizoma Preparatum water extract improved pulmonary ventilation function in COPD model mice, reduced lung inflammatory cells, decreased alveolar cavities, and improved lung tissue condition. The levels of inflammatory factors TNF-α, IL-6 and IL-1β were decreased, and the phosphorylation levels of PI3K and AKT were inhibited. Fifty-two chemical components were identified from Arisaematis Rhizoma Preparatum, and 440 intersection targets related to COPD were found. Nine key components were screened, including hydroxyphenylethylamine, L-tyrosine, L-tyrosyl-L-alanine, 3,4,5-trihydroxy-1-cyclohexene-1-carboxylic acid, methyl azelate, zingerone, 6-gingerol, linoleamide, and linoleoyl ethanolamine. Five core targets were identified, including AKT1, TNF, STAT3, ESR1, and IL1B. The PI3K/AKT pathway was identified as the key pathway for the treatment of COPD with Arisaematis Rhizoma Preparatum. Molecular docking results showed that 75% of the binding energies of key components and core targets were less than-5 kcal·mol~(-1), indicating good binding affinity. In conclusion, Arisaematis Rhizoma Preparatum may improve pulmonary ventilation function, enhance lung pathological morphology, and reduce pulmonary inflammation in COPD model mice by inhibiting the PI3K/AKT signaling pathway and downregulating TNF-α, IL-6, and IL-1β inflammatory factors. The material basis may be associated with L-tyrosyl-L-alanine, 3,4,5-trihydroxy-1-cyclohexene-1-carboxylic acid, zingerone and 6-gingerol, and AKT1 and TNF may be the primary targets.
Animals ; Pulmonary Disease, Chronic Obstructive/metabolism* ; Network Pharmacology ; Mice ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rhizome/chemistry* ; Humans ; Molecular Docking Simulation ; Chromatography, High Pressure Liquid ; Disease Models, Animal ; Signal Transduction/drug effects* ; Lung/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Interleukin-6/immunology*

Objective:To study the effects of metformin on marginal bone resorption of implants in patients with type 2 diabetes melli-tus(T2DM)and exercise habit.Methods:63 cases with 73 implants were included.Among them,there were 41 cases(47 implants)without T2DM in group N,10 cases(13 implants)with T2DM and without exercise habit in group M,12 cases(12 implants)with T2DM and exercise habit in the MR group.The patients were followed up at 6 months,1 and 2 years after implantation.The marginal bone loss(MBL).Implantation success rate and peri-implantitis incidence rate were compared among the groups.Results:The bone resorption of the proximal and median margins of the long-term bone level of the implants in the N and MR groups were significantly lower than that in the M group(P=0.001 and P=0.000 5,respectively).The implant success rates of group N,MR and M were 95.74％,100％and 76.92％,respectively.The incidence of peri-implantitis of the three groups was 2.13％,0 and 15.38％,respec-tively.Conclusion:Metformin is more effective in the improvement of the long-term marginal bone resorption of implants,increase the success rate of implants,and reduce the incidence of peri-implantitis in patients with T2DM and exercise habit in the mandibular first molar area.

Aim To investigate the regulatory role and mechanism of resveratrol in inhibiting autophagy and promoting apoptosis in choroidal melanoma cells. Methods Choroidal melanoma cells (MUM2B) were divided into control and experimental groups, and treated with different concentrations of resveratrol (0, 10, 20,40,60,80 μmol ·L

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Ferroptosis is a newly cell death mode discovered in recent years,involving in a variety of pathophysiological processes,such as ischemia reperfusion injury,neurodegenerative diseases and tumors,etc.At present,there is a lack of effective method to prevent and treat ischemic stroke worldwide,and ferroptosis which is involved in cerebral ischemia reperfusion injury.50 articles were included in this paper after searching the related literature,which published in databases such as PubMed,Wanfang,VIP and CNKI in recent years.Discussing the iron metabolism and the concept,mechanism and regulation of ferroptosis,the role of ferroptosis in the mechanism of cerebral ischemia reperfusion injury,and the method of inhibiting ferroptosis,this paper attempts to provide reference for finding a new potential treatment for ischemic stroke from the direction of inhibiting ferroptosis.

Objectives:To investigate the predictors of left ventricular reverse remodeling(LVRR)and prognosis in dilated cardiomyopathy(DCM)patients with heart failure with reduced ejection fraction(HFrEF). Methods:A total of 480 patients with HFrEF were continuously recruited.The patients were divided into LVRR group(n=235)and without LVRR group(n=245).The clinical data of patients with and without LVRR were compared.At the same time,the incidence of LVRR and complex cardiovascular adverse events in patients with different SII tripartite groups was compared.The study population was stratified according to SII tertiles:the baseline tertiles of the SII(group 1:＜332.8[n=160],group 2:332.8-563.1[n=160],and group 3:＞563.1[n=160]).Composite cardiac events include heart failure re-hospitalization,fatal arrhythmias,and cardiac death.Logistic regression analysis was used to analyze the predictive factors of LVRR.The dose-response relationship between systemic imnune inflammation index(SII)and LVRR were evaluated by restricted cubic spline(RCS).Receiver operating characteristic curves,net reclassification index(NRI),integrated discrimination improvement(IDI)and Akaike information criterion(AIC)were drawn to assess the performances of predictors to predict LVRR and prognosis.The predictive efficacy of these predictors were compared with traditional biomarkers(N-terminal pro-brain natriuretic peptide[NTpro-BNP]and soluble growth stimulation expressed gene 2 protein[sST2]).The survival analysis was performed using the Kaplan-Meier method. Results:A total of 235(49.0%)patients experienced LVRR.The results of logistic regression analysis showed that baseline SII was an independent predictor of non-LVRR(OR=1.005,95%CI:1.004～1.007,P＜0.01).RCS showed a positive linear relationship between SII and non-LVRR(Pnonlinear=0.455).Compared with traditional biomarkers NT-proBNP and sST2,ROC,NRI,IDI and AIC results proved that SII had the best predictability regarding non-LVRR.All 480 patients completed the follow-up,there were 108(22.5%)composite cardiac events and 37(7.7%)all-cause deaths.Patients in the SII＞563.1 group had higher rate of composite cardiovascular events than those in the SII＜332.8 and SII 332.8 to 563.1 groups(43.1%vs.9.4%vs.15.0%,log-rank P＜0.01). Conclusions:This study indicates that increased SII at admission could predict non-LVRR in DCM related HFrEF patients and its predictive efficacy is better than traditional biomarkers.

Objective:To investigate the safety of early antiplatelet therapy for non-cardioembolic mild stroke patients with thrombocytopenia.Methods:Data of acute ischemic stroke patients with baseline National Institutes of Health Stroke Scale(NIHSS)score≤3 and a platelet count<100×109/L were obtained from a multicenter register.Those who required anticoagulation or had other contraindications to antiplatelet therapy were excluded.Short-term safety outcomes were in-hospital bleeding events,while the long-term safety outcome was a 1-year all-cause death.The short-term neurological outcomes were evaluated by modified Rankin scale(mRS)score at discharge.Results:A total of 1868 non-cardioembolic mild stroke patients with thrombocytopenia were enrolled.Multivariate regression analyses showed that mono-antiplatelet therapy significantly increased the proportion of mRS score of 0-1 at discharge(OR=1.657,95%CI:1.253-2.192,P<0.01)and did not increase the risk of intracranial hemorrhage(OR=2.359,95%CI:0.301-18.503,P>0.05),compared with those without antiplatelet therapy.However,dual-antiplatelet therapy did not bring more neurological benefits(OR=0.923,95%CI:0.690-1.234,P>0.05),but increased the risk of gastrointestinal bleeding(OR= 2.837,95%CI:1.311-6.136,P<0.01)compared with those with mono-antiplatelet therapy.For patients with platelet counts≤75×109/L and>90×109/L,antiplatelet therapy significantly improved neurological functional outcomes(both P<0.05).For those with platelet counts(>75-90)×109/L,antiplatelet therapy resulted in a significant improvement of 1-year survival(P<0.05).For patients even with concurrent coagulation abnormalities,mono-antiplatelet therapy did not increase the risk of various types of bleeding(all P>0.05)but improved neurological functional outcomes(all P<0.01).There was no significant difference in the occurrence of bleeding events,1-year all-cause mortality risk,and neurological functional outcomes between aspirin and clopidogrel(all P>0.05).Conclusions:For non-cardioembolic mild stroke patients with thrombocytopenia,antiplatelet therapy remains a reasonable choice.Mono-antiplatelet therapy has the same efficiency as dual-antiplatelet therapy in neurological outcome improvement with lower risk of gastrointestinal bleeding.

Objective To propose a classification method for ultrasound images of pedicle screw canals based on radiomics analysis,and to evaluate the integrity of the screw canal.Methods With thoracolumbar spine specimens from 4 fresh cadavers,50 pedicle screw canals were pre-established and ultrasound images of the canals were acquired.A total of 2 000 images(1 000 intact and 1 000 damaged canal samples)were selected.The dataset was randomly divided in a 4∶1 ratio using 5-fold cross-validation to form training and testing sets(consisting of 1 600 and 400 samples,respectively).Firstly,the optimal radius of the region of interest was identified using the Otsu's thresholding method,followed by feature extraction using pyradiomics.Principal component analysis and the least absolute shrinkage and selection operator algorithm were employed for dimensionality reduction and feature selection,respectively.Subsequently,3 machine learning models(support vector machine[SVM],logistic regression,and random forest)and 3 deep learning models(visual geometry group[VGG],ResNet,and Transformer)were used to classify the ultrasound images.The performance of each model was evaluated using accuracy.Results With a region of interest radius of 230 pixels,the SVM model achieved the highest classification accuracy of 96.25%.The accuracy of the VGG model was only 51.29%,while the accuracies of the logistic regression,random forest,ResNet,and Transformer models were 85.50%,80.75%,80.17%,and 75.18%,respectively.Conclusion For ultrasound images of pedicle screw canals,the machine learning model performs better than the deep learning model as a whole,and the SVM model has the best classification performance,which can be used to assist physicians in diagnosis.

Objective:To evaluate the efficacy of adjusted Narcotrend Index (NI) value guidancecombined with small-dose esketamine for program-controlled closed-loop target-controlled infusion (TCI) system.Methods:Forty-eight American Society of Anesthesiologists Physical Status classificationⅠ or Ⅱpatients, regardless of gender, aged 18-55 yr, with body mass index of 18-25 kg/m 2, scheduled for elective laparoscopic surgery under general anesthesia, were assigned to control group (group C, NI baseline value median 36) and esketamine group(group E, NI baseline value median 46) using a random number table method, with 24 cases in each group. Anesthesia induction and maintenance were carried out using effect-site concentration TCI(Schnider model for propofol infusion and Minto model for remifentanil infusion). After the NI value was maintained at 26-46 during anesthesia maintenance, a small dose of esketamine was given (as an intravenous bolus 0.2 mg/kg, followed by an infusion of 5 μg·kg -1·min -1for 30 min) in group E, and the equal volume of normal saline was given instead in group C. Program-controlled closed-loop TCI was then started, and the target effect-site concentrations of propofol and remifentanil were adjusted every 5 min according to the corresponding preset NI baseline value. The main outcome measures were the percentage of time of NI value maintained in the target range within 1 h after administration of esketamine. Secondary outcome measures were the consumption of propofol and remifentanil, postoperative recovery time, incidence of nausea and vomiting, pain and shivering within 1 h after surgery. Patients were followed for intraoperative awareness on 2nd day after operation. Results:The performance of the program-controlled closed-loop TCI systems was within the safe clinical threshold, with no intraoperative awareness occurred in both groups. The consumption of propofol and remifentanil was significantly reduced in group E as compared to group C( P<0.05). There were no statistically significant differences in the percentage of time of NI value maintained in the target range, postoperative recovery time and incidence of adverse reactions between the two groups ( P>0.05). Conclusions:Adjusted NI value guidance combined with small-dose esketamine provides better efficacy when used for program-controlled closed-loop TCI system.