Objective To explore median effective dose(ED50)of 0.375％ropivacaine based on the cross sectional area(CSA)of supraclavicular brachial plexus block(SCBPB)with L-shaped baffle intervention.Methods Patients scheduled for upper limb surgery from September 2023 to May 2024 at Ningbo NO.6 Hospital were enrolled.Patients were randomly divided into two groups:L-shaped baffle compression group(group L)and non-compression group(group C).CSA of supraclavicular brachial plexus was measured by ultrasound,and 0.375％ropivacaine was administered based on the CSA.The ED50 was determined by using the Dixon up-and-down sequential method,with an initial dose of 0.4 ml/mm2 and an incremental difference of 0.04ml/mm2.If the block was effective within 30 minutes,the next patient received a lower dose;If ineffective,a higher dose was administered.The process continued until seven cross-over points(ineffective to effective)were observed.ED50 and its 95％CI were calculated by using the Probit method.Adverse reactions,such as phrenic nerve paralysis,nerve injury,dyspnea were recorded.Results The ED50 of 0.375％ropivacaine for SCBPB in group C was 0.254 ml/mm2(95％CI:0.228-0.278),while in group L,it was 0.239 ml/mm2(95％CI:0.215-0.262),with no statistically significant difference between two groups(P＞0.05).The incidence of phrenic nerve paralysis in group L was significantly lower than that in group C(14.29％vs.41.67％,P＜0.05).No significant nerve injuries,dyspnea,or local anesthetic toxicity were observed in either group.Conclusion The ED50 of 0.375％ropivacaine for SCBPB with L-shaped baffle compression,based on the CSA of the brachial plexus,was 0.239 ml/mm2(95％CI:0.215-0.262).L-shaped baffle compression significantly reduced the incidence of phrenic nerve paralysis without notable side effects.

Objective To explore median effective dose(ED50)of 0.375％ropivacaine based on the cross sectional area(CSA)of supraclavicular brachial plexus block(SCBPB)with L-shaped baffle intervention.Methods Patients scheduled for upper limb surgery from September 2023 to May 2024 at Ningbo NO.6 Hospital were enrolled.Patients were randomly divided into two groups:L-shaped baffle compression group(group L)and non-compression group(group C).CSA of supraclavicular brachial plexus was measured by ultrasound,and 0.375％ropivacaine was administered based on the CSA.The ED50 was determined by using the Dixon up-and-down sequential method,with an initial dose of 0.4 ml/mm2 and an incremental difference of 0.04ml/mm2.If the block was effective within 30 minutes,the next patient received a lower dose;If ineffective,a higher dose was administered.The process continued until seven cross-over points(ineffective to effective)were observed.ED50 and its 95％CI were calculated by using the Probit method.Adverse reactions,such as phrenic nerve paralysis,nerve injury,dyspnea were recorded.Results The ED50 of 0.375％ropivacaine for SCBPB in group C was 0.254 ml/mm2(95％CI:0.228-0.278),while in group L,it was 0.239 ml/mm2(95％CI:0.215-0.262),with no statistically significant difference between two groups(P＞0.05).The incidence of phrenic nerve paralysis in group L was significantly lower than that in group C(14.29％vs.41.67％,P＜0.05).No significant nerve injuries,dyspnea,or local anesthetic toxicity were observed in either group.Conclusion The ED50 of 0.375％ropivacaine for SCBPB with L-shaped baffle compression,based on the CSA of the brachial plexus,was 0.239 ml/mm2(95％CI:0.215-0.262).L-shaped baffle compression significantly reduced the incidence of phrenic nerve paralysis without notable side effects.

Objective:To construct an indicator system for a nursing science and technology innovation curriculum guided by innovation competence, in order to provide a reference for cultivating innovation ability in nursing students.Methods:The overall research period was from March to December 2024. A nursing innovation curriculum indicator framework was initially developed through literature analysis and brainstorming. From October to December 2024, 19 experts from nine hospitals or universities across five provinces and cities were selected via purposive sampling to participate in two rounds of Delphi consultation. Revisions were made based on expert feedback.Results:Both rounds of expert consultation achieved a 100% response rate. The authority coefficient of the experts was 0.92. The final indicator system included four curriculum elements: course content, course objectives, teaching methods, and assessment, encompassing 14 first-level indicators and 40 second-level indicators.Conclusions:The innovation-oriented indicator system for nursing science and technology education demonstrates good scientific validity and reliability. It offers a foundational framework for advancing innovation-focused nursing education and curriculum design.

Pyroptosis is a form of programmed cell death that differs from classical apoptosis and passive necrosis.It plays a crucial role in activating innate immune responses,driving local inflam-matory reactions,regulating immune cell activation and infiltration,and remodeling the tumor immune microenvironment.In recent years,the role of pyroptosis in the initiation,progression,and treatment response of urological tumors has garnered increasing attention.Current studies have demonstrated that pyroptosis exhibits dual regulatory effects in various tumors:on the one hand,it exerts anti-tumor effects by inducing lytic death of tumor cells;on the other hand,under specific microenvironmental conditions,the chronic inflammatory response mediated by pyroptosis may promote immune escape,thereby driving tumor progression.This review systematically summarized the similarities and differ-ences in the molecular mechanisms of pyroptosis in three common urological tumors,namely renal cell carcinoma,bladder cancer,and prostate cancer.It also summarized the regulatory networks and po-tential therapeutic targets during tumor initiation and progression.Furthermore,it elucidated the re-search progress on enhancing the efficacy of immune checkpoint inhibitors by modulating pyroptosis pathways,aiming to provide novel strategies and theoretical foundations for the precise treatment of u-rological.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

BACKGROUND:Some studies have shown a potential relationship between dietary intake and osteoarthritis,but whether there is a causal relationship between food preferences and osteoarthritis is still unknown.There is currently no large-scale genome-wide association study on dietary preferences and osteoarthritis in China.OBJECTIVE:To explore the causal association between dietary preferences and osteoarthritis in European populations,in order to provide a theoretical basis for the prevention of osteoarthritis and to provide reference data for the identification of high-risk groups for hip and knee osteoarthritis in China.METHODS:A total of 20 dietary preference genetic statistics datasets were selected to screen for exposure factor-related instrumental variables.The dataset for osteoarthritis was selected for the ending.After exclusion of the instrumental variables related to confounders,the two-sample Mendelian randomized causal association analysis was conducted mainly by inverse variance weighted analysis,and other four statistical methods were used as supplements.Sensitivity test was performed for the results.RESULTS AND CONCLUSION:(1)The results of the inverse variance weighted analysis showed that preference for barbecue(OR=1.204,95％CI:1.058-1.370,P=0.005),beef(OR=1.167,95％CI:1.034-1.317,P=0.012),chicken(OR=1.399,95％CI:1.119-1.749,P=0.003),pork chops(OR=1.218,95％CI:1.039-1.427,P=0.015)and coffee(OR=1.133,95％CI:1.037-1.238,P=0.006)were risk factors for osteoarthritis of the knee and hip joints,vegetables(OR=0.893,95％CI:0.827-0.964,P=0.004),and vinegar(OR=0.897,95％CI:0.812-0.991,P=0.032)were protective factors for knee-hip osteoarthritis.(2)The results of the sensitivity analysis showed that the instrumental variables included in the analysis without horizontal pleiotropy and bias,and the corresponding inverse variance weighted analysis of effects model was used according to the results of the heterogeneity analysis.(3)The results of this study provide certain reference value in the research on the relationship between dietary preferences and hip and knee osteoarthritis,but only included human whole genome association study data from European populations,and the validity of the research results in other races remains to be tested.Moreover,no stratification was performed on gender,age and other health status.It is difficult to completely rule out the bias from population stratification in the research results.In the future,larger-scale and more finely classified sample data are still needed to carry out relevant causal relationship research.

Peptide receptor radionuclide therapy (PRRT) with radiolabeled SSTR2 agonists is a treatment option that is highly effective in controlling metastatic and progressive neuroendocrine tumors (NETs). Previous studies have shown that an SSTR2 agonist combined with albumin binding moiety Evans blue (denoted as ¹⁷⁷Lu-EB-TATE) is characterized by a higher tumor uptake and residence time in preclinical models and in patients with metastatic NETs. This study aimed to enhance the in vivo stability, pharmacokinetics, and pharmacodynamics of ¹⁷⁷Lu-EB-TATE by replacing the maleimide-thiol group with a polyethylene glycol chain, resulting in a novel EB conjugated SSTR2-targeting radiopharmaceutical, ¹⁷⁷Lu-LNC1010, for PRRT. In preclinical studies, ¹⁷⁷Lu-LNC1010 exhibited good stability and SSTR2-binding affinity in AR42J tumor cells and enhanced uptake and prolonged retention in AR42J tumor xenografts. Thereafter, we presented the first-in-human dose escalation study of ¹⁷⁷Lu-LNC1010 in patients with advanced/metastatic NETs. ¹⁷⁷Lu-LNC1010 was well-tolerated by all patients, with minor adverse effects, and exhibited significant uptake and prolonged retention in tumor lesions, with higher tumor radiation doses than those of ¹⁷⁷Lu-EB-TATE. Preliminary PRRT efficacy results showed an 83% disease control rate and a 42% overall response rate after two ¹⁷⁷Lu-LNC1010 treatment cycles. These encouraging findings warrant further investigations through multicenter, prospective, and randomized controlled trials.

In a healthy human, the airway mucus forms a thin, protective liquid layer covering the surface of the respiratory tract. It comprises a complex blend of mucin, multiple antibacterial proteins, metabolic substances, water, and electrolytes. This mucus plays a pivotal role in the lungs' innate immune system by maintaining airway hydration and capturing airborne particles and pathogens. However, heightened mucus secretion in the airway can compromise ciliary clearance, obstruct the respiratory tract, and increase the risk of pathogen colonization and recurrent infections. Consequently, a thorough exploration of the mechanisms driving excessive airway mucus secretion is crucial for establishing a theoretical foundation for the eventual development of targeted drugs designed to reduce mucus production. Across a range of lung diseases, excessive airway mucus secretion manifests with unique characteristics and regulatory mechanisms, all intricately linked to mucin. This article provides a comprehensive overview of the characteristics and regulatory mechanisms associated with excessive airway mucus secretion in several prevalent lung diseases.
Humans ; Mucus/metabolism* ; Mucins/physiology* ; Lung Diseases/metabolism* ; Respiratory Mucosa/metabolism* ; Pulmonary Disease, Chronic Obstructive/physiopathology* ; Asthma/physiopathology* ; Cystic Fibrosis/physiopathology* ; Mucociliary Clearance/physiology*

Hospital culture is the sum of common values， codes of conduct， and working methods formed by internal employees within the hospital， and it is the spiritual pillar and core of cohesion of the hospital. Party-building leadership plays an important role in promoting hospital culture construction， including strengthening values guidance， enhancing team cohesion， facilitating management system innovation， and shaping social image and brand value. By analyzing the effectiveness of a series of Party-building activities carried out by Xi’an No. 9 Hospital in recent years， this paper explored the effect and significance of Party-building leadership in promoting hospital culture construction in the new era， as well as proposed guiding strategies for strengthening Party-building work in promoting hospital culture construction in the new era， so as to promote high-quality development of the hospital.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]