Objective To compare therapeutic efficacy of anticoagulation alone and combining with intervention for treating severe cerebral venous thrombosis(CVT).Methods Data of 65 severe CVT patients were retrospectively analyzed.The patients were divided into anticoagulation group(n=32)or combined group(n=33)according to therapeutic methods.The modified Rankin scale(mRS)score at admission and discharge,the prognosis of patients,vascular recanalization rate as well as incidence of complications during follow-up period were compared between groups.Results No significant difference of mRS scores at admission was found between groups(P＞0.05),while mRS scores of combined group were lower than of anticoagulation group at discharge(P＜0.05).The rate of good prognosis at discharge(84.85%vs.59.38%),6 months after discharge(87.88%vs.65.63%)and 12 months after discharge(93.94%vs.75.00%)in combined group were all higher than those in anticoagulation group(all P＜0.05).The vascular recanalization rate in combined group was higher than that in anticoagulant group(100%vs.75.00%,P＜0.05).At the end of follow-up,no significant difference of complication incidence was found between groups(15.15%vs.18.75%,P＞0.05).Conclusion For patients with severe CVT,anticoagulation combined with interventional therapy could significantly alleviate clinical symptoms and improve prognosis compared with anticoagulation alone.

Objective To observe the value of stent implantation for treating idiopathic intracranial hypertension(IIH)complicated with venous sinus stenosis(VSS).Methods Data of 54 patients with IIH complicated with VSS who underwent stent implantation were retrospectively analyzed.The papillary edema grade,lumbar puncture-opening pressure(LP-OP)and trans-stenotic pressure gradient of venous sinus(ΔP)before and after stent implantation were compared,and the symptom improvement and treatment-related complications during the follow-up period were recorded.Results Totally 60 stents were successfully implanted in 54 patients.Before stent implantation,the papillary edema grade was 3(3,3),LP-OP was(391.39±92.62)mmH2O and the ΔP was 18.50(15.00,25.00)mmHg,which decreased to 1(0,1),(208.80±62.31)mmH2O and 1.25(0.88,2.55)mmHg after stent implantation,respectively,all with significant differences(all P＜0.001).Clinical symptoms improved after stent implantation in all 54 patients.At the end of follow-up,disappearance of headache,papillary edema,visual disorder,abducent nerve paralysis and tinnitus were noticed in 30(30/37,81.08%),38(38/45,84.44%),41(41/45,91.11%),8(8/10,80.00%)and 9 cases(9/10,90.00%),respectively.Treatment-related complications occurred in 4 cases(4/54,7.41%),all improved after intervention.Conclusion Stent implantation was effective and safe for treating IIH complicated with VSS.

Purpose To explore the value of deep learning ultrasound radiomics nomogram in assessing the biological characteristics of invasive metastases in invasive breast cancer.Materials and Methods A retrospective collection of ultrasound imaging data from 180 pathologically confirmed invasive breast cancer between January 2021 to December 2022 in Maoming People's Hospital was conducted,with pathological reports indicating the status of lymph node metastasis(LNM),lymphovascular space invasion(LVSI)or perineural invasion(PNI),according to the LNM/LVSI/PNI status,the three indexes were divided into the training cohort and the verification cohort by 8∶2.Based on Pyradiomics and ResNet50 deep learning extractor,1 316 radiomic features and 2 048 deep learning features were extracted,respectively.The random forest machine learning algorithm was employed to develop evaluation models,and the model scores were calculated.The deep learning radiomics nomograms were developed based on the radiomic and deep learning model scores.The receiver operating characteristic curve was used to assess the performance of the models.The Delong test was applied to analyze the performance differences between different models.Results In the evaluation of LNM,LVSI and PNI status,the area under the curve of all the nomogram in the cohorts demonstrated moderate or above assessment performance(≥0.73),with accuracies all greater than 0.70.Specifically,in the LNM evaluation,the area under the curve of the training cohort was 0.97,the accuracy was 0.93,the sensitivity was 0.88 and the specificity was 0.96.Through the Delong test,the assessment performance of the nomograms was superior to the radiomics models(LNM,Z=2.04,P=0.04;LVSI,Z=2.80,P=0.01;PNI,Z=3.52,P<0.01),and was superior to or similar to the deep learning models(LNM,Z=4.52,P<0.01;LVSI,Z=1.86,P=0.06;PNI,Z=0.31,P=0.76)in the training cohort.Conclusion The deep learning radiomics nomogram can effectively evaluate the biological characteristics of invasion and metastasis in invasive breast cancer.The nomogram improves the assessment performance by integrating the radiomic and deep learning feature information.

Background The Qingcaosha Reservoir is facing issues of algal blooms and eutrophication, and the resulting increase in the level of chlorination disinfection by-products in the water has been a major concern. Objective To evaluate the impact of "Algae Monitoring and Control Program in Qingcaosha Reservoir" (hereinafter referred to as the program) on the control of trihalomethanes (THMs) in conventional finished water. Methods From 2011 to 2019, water samples were collected from the Lujiazui Water Plant once per season, one sample each time, and the concentrations of four THMs (trichloromethane, dichlorobromomethane, monochlorodibromomethane, and tribromomethane) were measured in the samples. Using 2014 when the program was implemented as a cut-off point, the entire study period was divided into two phases: pre-implementation (2011–2013) and post-implementation(2014–2019). Segmented linear regression with interrupted time series analysis was applied to assess the concentrations and trends of THMs in the finished water before and after the program launch. Results The concentration of total THMs in finished water increased by 1.561 µg·L⁻¹ (P=0.010) for each season of time extension before launching the program. The change in the concentration of total THMs in finished water was not statistically significant after the program launch, but the THMs concentration showed a decreasing trend as the slope was −0.626 (P=0.001). From 2017 until the end of 2019, the average concentration of THMs in finished water of Lujiazui Water Plant dropped to 10 μg·L⁻¹ or less. Conclusions The algae and eutrophication control measures in Qingcaosha Reservoir have achieved good results, controlling THMs in finished water at a low level, and the trend of THMs has changed from a yearly increase pattern before the program to a yearly decrease pattern after the program.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.

Alzheimer's disease(AD),the most common progressive neurodegenerative disease in dementia,is also a special lipid disease.From the perspective of modern medicine,cholesterol homeostasis is an important risk factor for AD.Amyloid-beta plaque deposition,neurofibrillary tangles,and large amount of lipid granule accumulation are typical pathological features of AD.From the perspective of TCM,turbidity is the key to the pathogenesis of AD.Phlegm turbid,stasis turbid and turbid toxin are the concrete derivation of turbidity,which are the standard of AD.Cholesterol is the greasy lipid which is produced from of the essence of water and food,the disturbance of cholesterol homeostasis is a typical embodiment of the pathogenesis mechanism of endogenous turbidity.Regulating cholesterol homeostasis by traditional Chinese medicine may be a new direction for the treatment of AD in the future.Focusing on the modern research of cholesterol homeostasis,taking the theory of turbidity as the starting point,this paper analyzed the correlation between the connotation of turbidity theory and the imbalance of cholesterol homeostasis as well as the pathogenesis mechanism,and further elucidated the clinical application results in the treatment of AD from the aspects of phlegm turbid,stasis turbid and turbid toxin,so as to better guide clinical practice and scientific research.

Objective To explore the application value of combined detection of serum neutrophil gelati-nase-associated lipocalin(NGAL)and calprotectin in patients with fracture in early infection after joint re-placement surgery.Methods A total of 206 fracture patients who underwent joint replacement surgery in a hospital from July 2021 to July 2022 were selected as the study objects,and divided into infection group(n=29)and non-infection group(n=177)according to whether infection occurred after joint replacement surgery.Serum NGAL and calprotectin levels were detected by enzyme-linked immunosorbent assay,and the influencing factors of infection after joint replacement surgery in fracture patients were analyzed by multivari-ate Logistic regression.The receiver operating characteristic curve was drawn to analyze the diagnostic efficacy of serum NGAL and calprotectin combined detection in early infection after joint replacement surgery in frac-ture patients.Results The proportion of diabetes mellitus and erythrocyte sedimentation rate(ESR)in infec-tion group were significantly higher than those in non-infection group,while albumin was significantly lower than that in non-infection group,with statistical significance(P＜0.05).The levels of serum NGAL and cal-protectin in postoperative infection group were significantly higher than those in postoperative non-infection group,with statistical significance(P＜0.05).Serum NGAL,calprotectin,ESR and diabetes mellitus were risk factors for early infection after joint replacement surgery,while serum albumin was protective factor(P＜0.05).The area under the curve for the diagnosis of early infection after joint replacement surgery in patients with fracture was 0.838,0.813 and 0.934,respectively,and the combination of serum NGAL,calprotectin,and both were superior to the diagnosis of serum NG AL and calprotectin alone(Z=2.720,2.357,P=0.007,0.018).Conclusion The combined detection of serum NGAL and calprotectin has better diagnostic efficacy for early infection after joint replacement surgery in fracture patients,and has certain application value for clinical prognosis.

Post-amputation pain causes great suffering to amputees, but still no effective drugs are available due to its elusive mechanisms. Our previous clinical studies found that surgical removal or radiofrequency treatment of the neuroma at the axotomized nerve stump effectively relieves the phantom pain afflicting patients after amputation. This indicated an essential role of the residual nerve stump in the formation of chronic post-amputation pain (CPAP). However, the molecular mechanism by which the residual nerve stump or neuroma is involved and regulates CPAP is still a mystery. In this study, we found that nociceptors expressed the mechanosensitive ion channel TMEM63A and macrophages infiltrated into the dorsal root ganglion (DRG) neurons worked synergistically to promote CPAP. Histology and qRT-PCR showed that TMEM63A was mainly expressed in mechanical pain-producing non-peptidergic nociceptors in the DRG, and the expression of TMEM63A increased significantly both in the neuroma from amputated patients and the DRG in a mouse model of tibial nerve transfer (TNT). Behavioral tests showed that the mechanical, heat, and cold sensitivity were not affected in the Tmem63a^-/- mice in the naïve state, suggesting the basal pain was not affected. In the inflammatory and post-amputation state, the mechanical allodynia but not the heat hyperalgesia or cold allodynia was significantly decreased in Tmem63a^-/- mice. Further study showed that there was severe neuronal injury and macrophage infiltration in the DRG, tibial nerve, residual stump, and the neuroma-like structure of the TNT mouse model, Consistent with this, expression of the pro-inflammatory cytokines TNF-α, IL-6, and IL-1β all increased dramatically in the DRG. Interestingly, the deletion of Tmem63a significantly reduced the macrophage infiltration in the DRG but not in the tibial nerve stump. Furthermore, the ablation of macrophages significantly reduced both the expression of Tmem63a and the mechanical allodynia in the TNT mouse model, indicating an interaction between nociceptors and macrophages, and that these two factors gang up together to regulate the formation of CPAP. This provides a new insight into the mechanisms underlying CPAP and potential drug targets its treatment.
Animals ; Mice ; Amputation, Surgical ; Chronic Pain/pathology* ; Disease Models, Animal ; Ganglia, Spinal/pathology* ; Hyperalgesia/etiology* ; Ion Channels/metabolism* ; Macrophages ; Neuroma/pathology*

Objective: To investigate the influencing factors of depressive symptoms among rural elderly patients with chronic diseases in China, so as to provide insights into depression prevention and control among the rural elderly patients with chronic diseases. Methods: The basic demographics, health status, and lifestyle of rural residents at ages of 65 years and older who had at least one chronic disease were retrieved from The Chinese Longitudinal Healthy Longevity Survey (CLHLS) database in 2018, and participants' depressive symptoms were assessed with The Center for Epidemiological Studies Depression-10 (CES-D-10) scale. Factors affecting the depressive symptoms were identified with a multivariable logistic regression model. Results: Totally 5 146 rural elderly patients with chronic diseases were enrolled, including 2 373 men (46.11%) and 2 773 women (53.89%). The prevalence of depressive symptoms was 27.13%. Multivariable logistic regression analysis identified having two and more children (OR=0.614, 95%CI: 0.387-0.975), living alone (OR=1.450, 95%CI: 1.192-1.764), life satisfaction (general, OR=1.933, 95%CI: 1.651-2.264; low, OR=5.366, 95%CI: 3.488-8.254), self-assessed health status (general, OR=2.697, 95%CI: 2.284-3.185; poor, OR=5.338, 95%CI: 4.262-6.685), disability in instrumental activities of daily living (OR=1.592, 95%CI: 1.328-1.908), sleep duration (normal, OR=0.502, 95%CI: 0.429-0.586; too long, OR=0.494, 95%CI: 0.405-0.603), exercise (OR=0.721, 95%CI: 0.607-0.856), watching TV (OR=0.787, 95%CI: 0.664-0.933), and gardening activities (OR=0.781, 95%CI: 0.626-0.975) as factors affecting depressive symptoms among rural elderly patients with chronic diseases. Conclusions The prevalence of depressive symptoms was 27.13% among rural elderly patients with chronic diseases. Number of children, living style, life satisfaction, health status, sleep duration, exercise, watching TV, and gardening activities are associated with the development of depressive symptoms among rural elderly patients with chronic diseases.

Objective To explore PM_2.5 concentration modeling and prediction based on the monthly average concentrations of PM_2.5 in Shanghai since 2015, and to provide new ideas about PM_2.5 prediction methods. Methods The seasonal factors were introduced into the Grey Model (GM). GM(1,1) model modified with seasonal factors was established and compared with seasonal autoregressive integrated moving average model (ARIMA) model. The data of 2015-2021 was used for modeling and prediction, and the data from January to October in 2022 was used as a validation set to evaluate the prediction effectiveness. The monthly average PM_2.5 concentrations in Shanghai from November to December in 2022 were predicted. Results Seasonal ARIMA model showed RMSE=4.02 and MAPE=15.50% in the validation set, while GM(1,1) model modified with seasonal factors showed RMSE=3.30 and MAPE=11.59%. GM(1,1) model modified with seasonal factors predicted the monthly average PM_2.5 concentrations in Shanghai from November to December in 2022 to be 24.99 and 34.83μg/m3, respectively. Conclusion The prediction effect of GM(1,1) model modified with seasonal factors has better predictive performance than seasonal ARIMA model. The grey prediction model modified with seasonal factors can be considered when predicting seasonal time series such as the concentration of PM_2.5.