Objective To investigate the influence of different disinfectants on the ultrasound-guided internal jugular vein puncture and adhesive application.Methods A total of 102 emergency patients with traumatic hemorrhage who underwent ultrasound-guided internal jugular vein puncture and catheterization were selected as the study subjects and randomly divided into the iodine group(51 cases)and the chlorhexidine-alcohol group(51 cases).Iodophor(0.5%effective iodine)and 2.0%chlorhexidine gluconate+70.0%ethanol were used for disinfection before puncture,respectively.The disinfection effect of the puncture site,puncture condition,ultrasound imaging,and adhesive force of the application of patients were statistically compared between the two groups.Results There was no significant difference in the bacterial count before disinfection,the bacterial count after disinfection or the qualified rate of disinfection at the puncture site of patients between the two groups(P>0.05).There were significant differences in the success rate of one-time puncture,the number of puncture and the time of puncture and catheterization between the two groups(P<0.05).There were significant differences in the rate of clear ultrasound images,adhesive force and rate of warping or shedding of the application between the two groups(P<0.05).Conclusion For emergency patients with traumatic hemorrhage,using iodophor(0.5%effective iodine)and 2.0%chlorhexidine gluconate+70.0%ethanol disinfection before ultrasound-guided internal jugular vein puncture can achieve good disinfection effects.Iodine disinfection can obtain clearer ultrasound images and a higher success rate of one-time puncture,but the adhesive force of the application is poor,making it prone to warping or shedding.

Objective:To explored the application value of dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI)combined with amide proton transfer(APT)imaging in brian glioma grading.Methods:Retrospective analysis of clinical data of 100 patients with brian glioma admitted to The Second Affiliated Hospital of Xinjiang Medical University from January 2022 to September 2024.They were divided into a low-grade group(WHO grades Ⅰ-Ⅱ,n=62)and high-grade group(WHO grades Ⅲ-Ⅳ,n=38)according to the World Health Organization(WHO)grading system for tumors.All patients underwent DSC-PWI and APT imaging preoperative examinations.Apparent diffusion coefficien(ADC),cerebral blood volume(CBV),cerebral blood flow(CBF),mean transit time(MTT),time to peak(TTP),maximum APT value(APTmax),minimum APT value(APTmin),the average APT value of the whole lesion(APTwhole)were recorded.The general datas and ADC,CBV,CBF,MTT,TTP,APTmax,APTmin,APTwhole of two group were compared.The influencing factors of high-grade brian glioma were analysed by Multivariate logistic regression.The diagnostic value of high-grade brian glioma was analysed of DSC-PWI combined with APT imaging by receiver operating characteristic(ROC)curve.Results:There was no statistically significant difference in age,gender,lesion location,basilar artery occlusion,necrosis and growth pattern between the two groups(P＞0.05),there was a statistically significant difference in the maximum diameter of lesions ≥2 cm and cystic lesions(P＜0.05).The ADC of the high-gradel group was lower than that of the low-grade group,while APTmax,APTmin,APTwhole,CBF,CBV,MTT and TTP were all higher than those of the low-grade group(P＜0.05).Elevated APTmax,APTmin,CBV,MTT,and TTP were risk factors for high-grade brian glioma(P＜0.05),while elevated ADC was a protective factor(P＜0.05).The results of ROC analysis showed that,the area under the curve(AUC)values of APTmax,APTmin,ADC,CBV,MTT,and TTP for diagnostic high-grade brian glioma were 0.830,0.868,0.852,0.843,0.803 and 0.827(all P＜0.05).The results of ROC analysis showed that,the AUC values of the logistic model for diagnostic high-grade brian glioma was 0.993.Conclusion:Single detection of DSC-PWI and APT imaging parameters has high diagnostic value in brian glioma grading,and combined detection of APTmax,APTmin,ADC,CBV,MTT and TTP imaging parameters can further improve diagnostic accuracy.

Aim To explore the effects of nuciferine on cognitive behavior and the underlying mechanisms,white matter injury(WMI),neuroinflammation,and ferroptosis in mice with chronic ischemic WMI.Meth-ods Sixty C57BL/6 mice were divided into a control group,a bilateral common carotid artery stenosis(BCAS)model group,and low/high-dose nuciferine groups(20/40 mg·kg-1).A chronic ischemic WMI model was established using BCAS surgery.Following eight weeks of treatment,cognitive behavior(Y-maze,novel object recognition,Morris water maze),white matter integrity(LFB/MBP staining),microglial acti-vation(Iba-1 immunofluorescence),inflammatory cy-tokines(ELISA for TNF-α,IL-1β,IL-6),ferroptosis markers(Fe2+,ROS,MDA,GSH),mitochondrial ultrastructure(electron microscopy),and protein ex-pression of the PI3K/Akt and NRF2/xCT/GPX4 signa-ling pathways(Western blot)were evaluated.Results Compared with the control group,the BCAS group showed significant cognitive decline(P＜0.05),re-duced myelin density,elevated inflammatory cytokines and ferroptosis markers(Fe2+,ROS,MDA),shrunk-en mitochondria,and downregulated PI3K/Akt and NRF2/xCT/GPX4 pathway proteins(P＜0.05).Nu-ciferine intervention significantly ameliorated these in-juries in BCAS mice,with the high-dose group exhibi-ting superior effects(P＜0.05).Conclusions Nu-ciferine exerts protective effects against chronic ische-mic WMI and cognitive impairment by activating the PI3K/Akt and NRF2/xCT/GPX4 signaling pathways,thereby suppressing neuroinflammation and ferroptosis.

Hepatocellular carcinoma(HCC),which is essentially primary liver cancer,is closely related to CD8+T cell immune infiltration and immune suppression.We constructed a CD8+T cells related risk score model to pre-dict the prognosis of HCC patients and provided therapeutic guidance based on the risk score.Using integrated bulk RNA sequencing(RNA-seq)and single-cell RNA sequencing(scRNA-seq)datasets,we identified stable CD8+T cell signatures.Based on these signatures,a 3-gene risk score model,comprised of KLRB1,RGS2,and TN-FRSF1B was constructed.The risk score model was well validated through an independent external validation co-hort.We divided patients into high-risk and low-risk groups according to the risk score and compared the differ-ences in immune microenvironment between these two groups.Compared with low-risk patients,high-risk patients have higher M2-type macrophage content(P＜0.0001)and lower CD8+T cells infiltration(P＜0.0001).High-risk patients predict worse response to immunotherapy treatment than low-risk patients(P＜0.01).Drug sensitivity a-nalysis shows that PI3K-β inhibitor AZD6482 and TGFβRII inhibitor SB505124 may be suitable therapies for high-risk patients,while the IGF-1R inhibitor BMS-754807 or the novel pyrimidine-based anti-tumor metabolic drug Gemcitabine could be potential therapeutic choices for low-risk patients.Moreover,expression of these 3-gene mod-el was verified by immunohistochemistry.In summary,the establishment and validation of a CD8+T cell-derived risk model can more accurately predict the prognosis of HCC patients and guide the construction of personalized treatment plans.

Objective:To Exploring the protective effect of hearing protectors worn by noise workers in the petrochemical industry and the factors affecting the protective effect of hearing protectors.Methods:From June 2021 to July 2023, 929 petrochemical workers were selected as the research subjects through cluster sampling. The noise exposure of workers and the usage of two types of hearing protectors were surveyed through questionnaire surveys and on-site occupational hygiene surveys. The protective effect of hearing protectors were evaluated by testing the PAR of workers. If the noise exposure value of workers minus the PAR value was less than 85 dB (A) , it was considered passed. Otherwise, it was considered not passed. The passing rate of the protective effect test of hearing protectors was analyzed through chi square test and the influencing factors for the effectiveness of workers hearing protectors in test were explored through single factor analysis and logistic regression models.Results:Among the research subjects, 80.5% of workers (748/929) had noise exposure levels greater than 85 dB (A) . The passing rate (80.9%) of the earmuff is greater than that of the earplug (52.6%) , and the median of PAR of the earmuff is 22 (16, 25) , which is greater than that of the earplug 15 (3, 22) dB dB, with a statistically significant difference ( P<0.001) . Univariate analysis and logistic regression models showed that length of service, exposure level to noise, and wearing comfort were the influencing factors of earplug protection effect ( P<0.05) , while wearing comfort was the influencing factor of earmuff protection effect ( P<0.05) . Conclusion:This study indicates that the protective effect of hearing protectors on workers in the petrochemical enterprise is poor, and the protective effect of earmuffs is greater than that of earplugs. Working experience, noise exposure level, and wearing comfort are the influencing factors of earplug protection effect, while wearing comfort is the influencing factor of earplug protection effect.

Objective To investigate the effect of a nucleic acid purifier combined with a vacuum concentrator on DNA recovery rate.Methods Using 39 tubes of 007 standard samples,two 30 μL samples were taken from each tube.Samples were purified using the PrepFiler ExpressTM BTA Purification Kit on the AutoMate ExpressTM purifier,with elution volumes of 30 μL and 200 μL.Samples with 200 μL eluent were concentrated to 30 μL using a trace DNA sample vacuum concentrator.DNA solution concentrations were measured,and recovery rates were calculated and compared.Results The measured DNA concentration of the 007 standard samples was 0.08～0.15(0.11±0.02)ng/μL,showing a significant difference from the kit-labeled concentration of 0.1 ng/μL(t=3.88,P<0.01).The DNA solution concentration in the purified and concentrated group(200 μL eluent concentrated to 30 μL)[0.05～0.13(0.08±0.02)ng/μL]was significantly higher than the purified group(30 μL eluent)[0.02～0.08(0.05±0.01)ng/μL](t=21.20,P<0.01).The DNA recovery rate of the purified and concentrated group[54.55%～92.86%(75.41±10.12)%]was substantially higher than the purified group[25.00%～54.55%(39.79±7.13)%](t=19.79,P<0.01).Conclusion Utilizing a large-volume elution system in nucleic acid purification can significantly enhance DNA recovery rate.Combining this method with a vacuum concentrator effectively increases DNA solution concentration,thereby improving DNA testing success rates.

Objective:To explored the application value of dynamic susceptibility contrast-perfusion weighted imaging(DSC-PWI)combined with amide proton transfer(APT)imaging in brian glioma grading.Methods:Retrospective analysis of clinical data of 100 patients with brian glioma admitted to The Second Affiliated Hospital of Xinjiang Medical University from January 2022 to September 2024.They were divided into a low-grade group(WHO grades Ⅰ-Ⅱ,n=62)and high-grade group(WHO grades Ⅲ-Ⅳ,n=38)according to the World Health Organization(WHO)grading system for tumors.All patients underwent DSC-PWI and APT imaging preoperative examinations.Apparent diffusion coefficien(ADC),cerebral blood volume(CBV),cerebral blood flow(CBF),mean transit time(MTT),time to peak(TTP),maximum APT value(APTmax),minimum APT value(APTmin),the average APT value of the whole lesion(APTwhole)were recorded.The general datas and ADC,CBV,CBF,MTT,TTP,APTmax,APTmin,APTwhole of two group were compared.The influencing factors of high-grade brian glioma were analysed by Multivariate logistic regression.The diagnostic value of high-grade brian glioma was analysed of DSC-PWI combined with APT imaging by receiver operating characteristic(ROC)curve.Results:There was no statistically significant difference in age,gender,lesion location,basilar artery occlusion,necrosis and growth pattern between the two groups(P＞0.05),there was a statistically significant difference in the maximum diameter of lesions ≥2 cm and cystic lesions(P＜0.05).The ADC of the high-gradel group was lower than that of the low-grade group,while APTmax,APTmin,APTwhole,CBF,CBV,MTT and TTP were all higher than those of the low-grade group(P＜0.05).Elevated APTmax,APTmin,CBV,MTT,and TTP were risk factors for high-grade brian glioma(P＜0.05),while elevated ADC was a protective factor(P＜0.05).The results of ROC analysis showed that,the area under the curve(AUC)values of APTmax,APTmin,ADC,CBV,MTT,and TTP for diagnostic high-grade brian glioma were 0.830,0.868,0.852,0.843,0.803 and 0.827(all P＜0.05).The results of ROC analysis showed that,the AUC values of the logistic model for diagnostic high-grade brian glioma was 0.993.Conclusion:Single detection of DSC-PWI and APT imaging parameters has high diagnostic value in brian glioma grading,and combined detection of APTmax,APTmin,ADC,CBV,MTT and TTP imaging parameters can further improve diagnostic accuracy.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

BACKGROUND: Severe stroke has high rates of mortality and morbidity. This study aimed to investigate the clinical course, causes of worsening, and outcomes of severe ischemic stroke. METHODS: This prospective, multicenter cohort study enrolled adult patients admitted ≤30 days after ischemic stroke from nine hospitals in China between September 2017 and December 2019. Severe stroke was defined as a score of ≥15 on the National Institutes of Health Stroke Scale (NIHSS). Clinical worsening was defined as an increase of 4 in the NIHSS score from baseline. Unfavorable functional outcome was defined as a modified Rankin scale score ≥3 at 3 months and 1 year after stroke onset, respectively. We performed Logistic regression to explore baseline features and reperfusion therapies associated with clinical worsening and functional outcomes. RESULTS: Among 4201 patients enrolled, 854 patients (20.33%) had severe stroke on admission. Of 3347 patients without severe stroke on admission, 142 (4.24%) patients developed severe stroke in hospital. Of 854 patients with severe stroke on admission, 33.95% (290/854) experienced clinical worsening (median time from stroke onset: 43 h, Q1-Q3: 20-88 h), with brain edema (54.83% [159/290]) as the leading cause; 24.59% (210/854) of these patients died by 30 days, and 81.47% (677/831) and 78.44% (633/807) had unfavorable functional outcomes at 3 months and 1 year respectively. Reperfusion reduced the risk of worsening (adjusted odds ratio [OR]: 0.24, 95% confidence interval [CI]: 0.12-0.49, P  <0.01), 30-day death (adjusted OR: 0.22, 95% CI: 0.11-0.41, P  <0.01), and unfavorable functional outcomes at 3 months (adjusted OR: 0.24, 95% CI: 0.08-0.68, P <0.01) and 1 year (adjusted OR: 0.17, 95% CI: 0.06-0.50, P  <0.01). CONCLUSIONS: Approximately one-fifth of patients with ischemic stroke had severe neurological deficits on admission. Clinical worsening mainly occurred in the first 3 to 4 days after stroke onset, with brain edema as the leading cause of worsening. Reperfusion reduced the risk of clinical worsening and improved functional outcomes. REGISTRATION ClinicalTrials.gov , NCT03222024.
Humans ; Male ; Female ; Prospective Studies ; Ischemic Stroke/mortality* ; Aged ; Middle Aged ; Aged, 80 and over ; Stroke ; Brain Ischemia