Objective To investigate the influencing factors of the course of perioperative prophylactic antibiotics in patients undergoing total hip arthroplasty,and explore management strategies for enhancing perioperative prophylactic medication administration.Methods The clinical data for patients undergoing total hip arthroplasty at Affiliated Hospital of Chengdu University from January,2020 to September,2024 were retrospectively collected.Patients were divided into a 24 h group and a 48-72 h group based on the duration of prophylactic antibacterial therapy.The general characteristics,surgical-related indicators,preoperative and postoperative laboratory test results,and surgical outcome measures between the two groups of patients were compared.Multivariate Logistic regression analysis was performed to identify influencing factors associated with prolonged duration of prophylactic antibacterial therapy.Results A total of 126 patients who underwent total hip arthroplasty were enrolled,including 74 cases in the 24 h group and 52 cases in the 48-72 h group.Univariate analysis results showed that there were statistically significant differences in the following indicators between the two groups:surgical cause,surgical duration,intraoperative blood loss,drainage duration of plasma drainage tubes,preoperative white blood cell count,and preoperative neutrophil count(P<0.05).The results of multivariate Logistic regression analysis showed that the reason for surgery and the duration of plasma drain tube drainage were the influencing factors of antimicrobial treatment course for total hip arthroplasty(P<0.05).The results of receiver operating characteristic curve analysis showed that the prediction model(constructed based on the drainage time of plasma drainage tube)for prophylactic antimicrobial treatment course to 48-72 h was 0.721.When the drainage time of plasma drainage tubes was≥40.56 h,the risk of requiring prophylactic antimicrobial therapy for an extended course of 48-72 h increased significantly.Conclusion The patient's surgical reason and the duration of plasma drain drainage may be related to the prophylactic antimicrobial course of more than 24 hours.Clinical pharmacists may utilize this parameter as a patient-specific characteristic,with the support of information systems,the hierarchical patient management can be implemented,thereby enhancing the effectiveness of medication surveillance and progressively elevating the 24 h discontinuation rate of perioperative prophylactic antibiotics.

The patient was admitted to the hospital with a diagnosis of diffuse large B-cell lymphoma for one month,accompanied by limb numbness for one week.Upon admission,the patient was initially prescribed vitamin B,and mecobalamin for symptomatic relief,which led to an improvement in the symptoms of limb numbness.Subsequently,the patient was administered chemotherapy consisting of rituximab,lenalidomide,and prednisone.However,following the initiation of chemotherapy,the symptoms of limb numbness became more severe.After review of the patient's medication history and analysis of relevant data,the clinical pharmacist suggested that the patient's limb numbness was caused by lenalidomide-induced peripheral neuropathy.

Objective To investigate the influencing factors of the course of perioperative prophylactic antibiotics in patients undergoing total hip arthroplasty,and explore management strategies for enhancing perioperative prophylactic medication administration.Methods The clinical data for patients undergoing total hip arthroplasty at Affiliated Hospital of Chengdu University from January,2020 to September,2024 were retrospectively collected.Patients were divided into a 24 h group and a 48-72 h group based on the duration of prophylactic antibacterial therapy.The general characteristics,surgical-related indicators,preoperative and postoperative laboratory test results,and surgical outcome measures between the two groups of patients were compared.Multivariate Logistic regression analysis was performed to identify influencing factors associated with prolonged duration of prophylactic antibacterial therapy.Results A total of 126 patients who underwent total hip arthroplasty were enrolled,including 74 cases in the 24 h group and 52 cases in the 48-72 h group.Univariate analysis results showed that there were statistically significant differences in the following indicators between the two groups:surgical cause,surgical duration,intraoperative blood loss,drainage duration of plasma drainage tubes,preoperative white blood cell count,and preoperative neutrophil count(P<0.05).The results of multivariate Logistic regression analysis showed that the reason for surgery and the duration of plasma drain tube drainage were the influencing factors of antimicrobial treatment course for total hip arthroplasty(P<0.05).The results of receiver operating characteristic curve analysis showed that the prediction model(constructed based on the drainage time of plasma drainage tube)for prophylactic antimicrobial treatment course to 48-72 h was 0.721.When the drainage time of plasma drainage tubes was≥40.56 h,the risk of requiring prophylactic antimicrobial therapy for an extended course of 48-72 h increased significantly.Conclusion The patient's surgical reason and the duration of plasma drain drainage may be related to the prophylactic antimicrobial course of more than 24 hours.Clinical pharmacists may utilize this parameter as a patient-specific characteristic,with the support of information systems,the hierarchical patient management can be implemented,thereby enhancing the effectiveness of medication surveillance and progressively elevating the 24 h discontinuation rate of perioperative prophylactic antibiotics.

Quantitative training load refers to the control of exercise dosage through quantification in order to develop an appropriate exercise program to avoid ineffective or excessive training. This paper reviews the concepts, theoretical frameworks, and measurement methods of quantitative training load in nursing, analyzes the strengths and limitations of existing methods, and aims to provide a new theory and perspective for nursing exercise interventions and to further expand the research and application of quantitative training load in nursing.

Quantitative training load refers to the control of exercise dosage through quantification in order to develop an appropriate exercise program to avoid ineffective or excessive training. This paper reviews the concepts, theoretical frameworks, and measurement methods of quantitative training load in nursing, analyzes the strengths and limitations of existing methods, and aims to provide a new theory and perspective for nursing exercise interventions and to further expand the research and application of quantitative training load in nursing.

Objective To develop and validate risk prediction models utilizing five machine learning algorithms for assessing postoperative pulmonary infection(PPI)risk in lung cancer patients undergoing grade Ⅳ thoracoscopic surgery.Methods A retrospective cohort study included 2,380 lung cancer patients who underwent grade Ⅳ thoracoscopic surgery at a tertiary hospital in Shanghai(January 2022 to June 2024).Patients were stratified into training(n=1,665)and validation(n=715)cohorts.Five machine learning algorithms—Logistic regression(LR),artificial neural network(ANN),support vector machine(S VM),random forest(RF),and extreme gradient boosting(XGB)—were employed to construct predictive models.A nomogram was developed for clinical utility.Results Among 2,380 patients,226(9.5％)developed PPI.The Least Absolute Shrinkage and Se-lection Operator(LASSO)regression identified eight predictive variables:daily cigarette consumption,diabetes history,preoperative diffusing capacity,maximal tumor diameter,24-hour postoperative chest drainage volume,perioperative oral nutritional supplementation(ONS),postoperative urinary cathe-terization,and intraoperative pleural adhesion severity.All models demonstrated robust discrimina-tion,with area under the curve(AUC)values ranging from 0.862 to 0.947.The XGB model a-chieved superior performance(AUC=0.947,95％CI,0.937 to 0.962),followed closely by the LR model(AUC=0.926,95％CI,0.918 to 0.933).Conclusion Machine learning-based algo-rithms models effectively stratify PPI risk in lung cancer patients following grade Ⅳ thoracoscopic surgery.The derived nomogram provides a practical tool for perioperative risk management by healthcare providers.

ObjectiveThe effects of two microbial fertilizers （Bacillus subtilis fertilizer and Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer） on the growth and development， the accumulation of active ingredients， and the microbial community diversity of rhizosphere soil of Atractylodes chinensis were investigated. MethodsA field experiment was carried out with two-year-old Atractylodes chinensis as the test material. Plant samples were collected during the wilt stage （September 26， 2023） to determine the general agronomic traits of Atractylodes chinensis. High-performance liquid chromatography （HPLC） was utilized to evaluate the effects of microbial fertilizers on the synthesis and accumulation of four active ingredients （atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ） in Atractylodes chinensi. PacBio Sequel sequencing technology was used to explore the differences in bacterial community structures and diversity in the rhizosphere soil of Atractylodes chinensis treated with different microbial fertilizers. ResultsThe two microbial fertilizers had significant growth-promoting effects on Atractylodes chinensis. Compared with those of the CK group， the stem diameter， stem and leaf dry and fresh weight， and rhizome dry and fresh weight of Atractylodes chinensis significantly increased by 0.47-1.07 times （P<0.05） after the application of the Bacillus subtilis fertilizer （16 kg/667 m²）， and those significantly increased by 0.62-0.96 times （P<0.05） after the application of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer （1.5 kg/667 m²）. The effect on plant height was not significant. The application of two microbial fertilizers was beneficial to the accumulation of atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ （P<0.01）， and the effect of the Bacillus subtilis fertilizer on the accumulation of active ingredients of Atractylodes chinensis was better than that of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. The results of high-throughput sequencing showed that compared with the CK group， the Bacillus subtilis fertilizer （8 kg/667 m²） could significantly increase the diversity of rhizosphere bacterial species by regulating the Simpson index and Shannon index （P<0.05）， and the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer significantly reduced the bacterial diversity （P<0.05）. The relative abundance of dominant bacteria was compared at the phylum and genus levels. The relative abundance of Proteobacteria （45.73%） and Burkholderia_Caballeronia_Paraburkholderia （9.98%） significantly increased after the application of the Bacillus subtilis fertilizer （P<0.01）， and the relative abundance of Acidobacteriota （20.53%） and Sphingomonas （3.63%） increased significantly （P<0.01） after the application of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. The relative abundance of beneficial bacteria in the Bacillus subtilis fertilizer was slightly higher than that in the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer. Pearson correlation analysis showed that Burkholderia_Caballeronia_Paraburkholderia and Sphingomonas were positively correlated with the content of atractylodin， atractylon， β-eudesmol， and atractylenolide Ⅰ （P<0.05）. ConclusionThe application of the Bacillus subtilis fertilizer and Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer can increase the yield of medicinal materials and promote the synthesis and accumulation of active ingredients by regulating the rhizosphere microecological diversity of Atractylodes chinensis， and the application effect of the Bacillus subtilis fertilizer is better than that of the Trichoderma harzianum-Purpureocillium lilacinum compound fertilizer.

ObjectiveTo analyze the prevalence and influencing factors of overweight and obesity among primary school students in a community of Fengxian District, Shanghai, and to provide references for formulating prevention and control strategies against overweight and obesity. MethodsData on height and weight of all primary school students in a community in Fengxian District, Shanghai, in 2023 were obtained by physical examination, and 1 759 primary school students were included according to the entry criteria. Overweight and obesity were determined using body mass index (BMI). Additionally, a questionnaire survey was performed to 1 045 students to collect their demographic characteristics, dietary behaviors, dietary habits, sleep and physical activity information. Chi-square test and logistic regression analysis were used to analyze the influencing factors of overweight and obesity. ResultsIn 2023, among the 1 759 primary school students in the community in Fengxian District, 923 (52.47%) were male and 836 (47.53%) were female, with an overweight/obesity detection rate of 28.08%. The detection rate of overweight and obesity was 33.37% in males and 22.25% in females, which was significantly higher in males than that in females (χ²=26.845, P<0.001). Students aged 10‒12 years had a higher overweight/obesity detection rate (32.55%) than those aged 6‒<10 years (26.53%), and the difference was statistically significant (χ²=10.925, P<0.001). Logistic regression analysis revealed that being female, with young age, parental education level of bachelor’s degree and above, a high global dietary recommendation healthy (GDR-healthy) score, preference for vegetables and sweeter home-cooked meals, and a slow eating speed were negatively correlated with overweight/obesity. Whereas, parental overweight and obesity, binge eating, and a faster eating pace than same-age, same-gender peers may be positively correlated with overweight/obesity. ConclusionThe detection rate of overweight and obesity among primary school students in the community in Fengxian District of Shanghai is higher than the national level. Gender, age, parental BMI, parental education level, dietary behaviors and habits are the main influencing factors of overweight/obesity among primary school students.

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.

Objective Performing physical tasks in the low-pressure environment of space poses a significant physiological challenge for astronauts.This study investigates the localized thermophysiological effects of typical physical tasks on different body segments and analyzes the mechanisms by which low-pressure environments influence human task performance.The findings aim to provide a theoretical basis for the thermal control design of spacesuits,focusing on both localized thermoregulation and overall task performance.Methods Two typical physical tasks—15 kg weighted walking and 25 kg load-carrying—were conducted in a simulated low-pressure composite environment chamber.The chamber was set to an altitude-equivalent pressure of 57 kPa(4500 m),with a temperature of 26℃and humidity of 40％.Six non-acclimatized adult male participants were recruited.After environmental stabilization,12-point skin temperatures were recorded throughout the tasks,and localized temperature data were statistically analyzed.Results Under low-pressure conditions,different body regions exhibited distinct thermal responses over time depending on the task type,while the same body region showed varied responses under different task conditions.During walking,temperatures in the primary active regions(thighs and calves)decreased,with most other body regions(except the pelvis and feet)gradually cooling as the task progressed.In contrast,during load-carrying,temperatures in the primary active regions(back and upper arm muscles)increased significantly.Conclusion Astronauts performing different tasks in low-pressure environments experience distinct localized thermophysiological effects.Therefore,spacesuit thermal control systems should not only account for task intensity and metabolic differences but also adapt localized heating/cooling based on task-specific thermal profiles.This approach enables targeted intelligent thermal regulation,enhancing operational support in specific mission scenarios.