Objective To construct a surgical pharmaceutical risk management index system and then to enhance surgi-cal pharmaceutical service quality.Methods Literature research and consulting pharmaceutical experts were used to collect relevant data and construct initial scale items.The Delphi expert consultation method was used to revise and improve indicators with 20 experts,after 2 rounds of inquiry improvement.The analytic hierarchy process(AHP)was used to calculate the weight of each indicator,finally forming the surgical pharmaceutical risk management index system.Results The final construction of the scale entries includes four dimensions,14 second-grade indexes,and 71 third-grade indexes.The questionnaire response rates were 100.00％,while the authority coefficient of experts was 0.832.In the consultation,the harmony coefficients of the first,second,and third indicators were 0.743,0.491,and 0.277,respectively.The AHP was used to determine the weights of indicators,and the re-sult passed the consistency test.The professional factors and pharmacist factors of the first indicators are large in weight.Con-clusion The constructed surgical pharmaceutical risk management index system is scientific and practical,which can provide a reference for the clinical work of surgeons and maximize the risk of avoidance.

Objective:To explore a factor analysis method for job training needs based on "P4 medicine", and to provide evidence-based support for optimizing continuing education systems for medical staff in military rest homes and sanatoriums.Methods:A cross-sectional study was conducted with 95 medical staff from military rest homes and sanatoriums within the support system who participated in job training at Xinqiao Hospital. A structured questionnaire was developed based on the "P4 medicine" framework. After two rounds of Delphi expert consultation, 46 core indicators were selected. A principal component analysis was used to extract common factors, and a model of hierarchical needs was constructed by combining varimax rotation and entropy weight methods.Results:Four common factors were extracted, accounting for 81.564% cumulative variance. The first factor "dynamic updating of geriatric medical knowledge" (31.83%) covered clinical core competencies in managing geriatric comorbidities and recognizing critical values. The second factor "emergency responsiveness and personalized care" (26.05%) focused on military medical regulations, emergency treatment protocols, and tailored interventions. The third factor "multidisciplinary collaboration and leadership development" (12.41%) emphasized team reorganization in combat-ready scenarios. The fourth factor "integration of intelligent technologies" (11.29%) reflected data-driven decision-making needs. Entropy weight analysis highlighted dynamic medical knowledge updates (e.g., emergency skills with a weight of 0.050) and AI applications with a weight of 0.019 among the top 10% high-weight indicators.Conclusions:The "P4 medicine" effectively delineates the multidimensional training needs of grassroots medical personnel. Its four-dimensional structure (predictive, normative, collaborative, and innovative) provides a theoretical framework for curriculum design. We recommend constructing tiered training modules prioritizing technology-enabled mechanisms to enhance the precision and sustainability of geriatric healthcare services.

[Objective] To analyze the prevalence of human T-lymphocyte leukemia virus (HTLV) among blood donors in Guangzhou from 2016 to 2021, and provide a basis for blood collection and supply management in this region. [Methods] A total of 2 116 951 voluntary blood donors were screened for anti-HTLV by enzyme-linked immunosorbent assay (ELISA) from March 2016 to December 2021 in Guangzhou, and the reactive cases were further confirmed by Western blotting (WB). Qualitative data were analyzed by χ2 with spss19 software. The trend of the total positive rate of HTLV confirmation test by WB from 2016 to 2021 was analyzed with the Joinpoint software, and the annual percent change (APC) was used to determine whether the trend changes were statistically significant. [Results] From March 2016 to December 2021, the total positive rate for anti-HTLV by ELISA among voluntary blood donors in Guangzhou was 0.019 7% (416/ 2116 951), and the WB confirmed positive rate was 0.001 1% (23/2 116 951). The total positive rate of HTLV among individual voluntary blood donors in the six main districts (0.002 12%, 19/895 301) was higher than that among group voluntary blood donors (0.000 32%, 3/951 947) (P<0.05). There was no significant difference in the total positive rate of HTLV confirmation between the six main districts (0.001 19%) and the three non-main districts (0.000 37%) (P>0.05). The trend of the total positive rate of HTLV infection in the six main districts and the Guangzhou area(including the six main districts and three non-main districts) showed no significant increase or decrease. [Conclusion] The prevalence of HTLV among blood donors in Guangzhou remains at a low level.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.

The traditional detection methods for monitoring the biomass,protein,chlorophyll content and other key indicators in the growth of chlorella have some problems,including complicated operation,slow detection speed and difficult large-scale application.In this study,a fast and efficient monitoring method for the key indicators in the growth of chlorella was established using near infrared spectroscopy and chemometrics.Near-infrared spectroscopy was used to collect near-infrared spectra of chlorella algal fluid at different growth stages,and standard methods were used to detect the biomass,protein and chlorophyll contents of corresponding samples.A quantitative analysis model was established based on partial least squares regression(PLSR).To improve the prediction ability of the model,multiplicative scatter correction(MSC)was used to reduce the interference of scattering on the raw spectrum(RS),standard normal variate(SNV)was used to normalize the original spectral data to eliminate differences between samples,continuous wavelet transform(CWT)was used to obtain the key features of spectral data,the first derivative(1st)was used to enhance the differentiation of the original spectral features,and monte carlo-uninformative variable elimination(MC-UVE)and randomization test(RT)were used to screen the valid variables in the wavelength.By evaluating the prediction ability of different models,the quantitative analysis models of chlorella biomass,protein and chlorophyll content were finally determined.The results showed that the model based on 1st combined with RT spectra had better predictive ability for chlorella nutrient content detection,and the root mean square errors of prediction(RMSEP)and coefficients of determination(R2)were 0.041 and 0.933 for biomass,0.012 and 0.973 for protein,and 0.517 and 0.962 for chlorophyll,respectively.This model showed practical application value,and could realize the rapid and accurate detection of chlorella biomass,protein and chlorophyll content at the same time.

OBJECTIVE: Blood culture remains the gold standard for diagnosing bloodstream infections. Clinical laboratories must ensure the quality of blood culture processes from receipt to obtaining definitive results. We examined laboratory analytical indicators associated with positive blood culture results. METHODS: Blood cultures collected from Peking Union Medical College Hospital between January 1, 2020, and December 31, 2022, were retrospectively analyzed. The mode of transportation (piping logistics delivery vs. staff), source of blood cultures (outpatient/emergency department vs. inpatient department), rotation of personnel, and time of reception (8:00-19:59 vs. 20:00-07:59) were compared between blood culture-positive and -negative results. RESULTS: Between 2020 and 2022, the total positive rate of blood culture was 8.07%. The positive rate of blood cultures in the outpatient/emergency department was significantly higher than that in the inpatient department (12.46% vs. 5.83%; P < 0.0001). The time-to-detection of blood cultures was significantly affected by the delivery mode and personnel rotation. The blood culture positive rate of the total pre-analytical time within 1 h was significantly higher than that within 1-2 h or > 2 h ( P < 0.0170). CONCLUSION Laboratory analytical indicators such as patient source, transportation mode, and personnel rotation significantly impacted the positive detection rate or time of blood culture.
Blood Culture/statistics & numerical data* ; Humans ; Retrospective Studies ; Emergency Service, Hospital/statistics & numerical data*

The production of healthy agricultural products has increased the demand for innovative and sustainable plant protection technologies, and the rapid advancement of nanotechnology has brought revolutionary breakthroughs to traditional agriculture. Nanocarrier-based drug delivery systems can not only significantly improve the utilization efficiency of pesticides, achieving enhanced efficacy and reduced application, but also decrease the pesticide residues and environmental pollution. Additionally, they have made breakthrough progress in the stability and persistence of RNA pesticides. This review summarized the research progress on nanopesticides and RNA pesticides, focusing on the mechanisms of nanocarriers in improving pesticide bioactivity and RNA interference (RNAi) efficiency. It also systematically summarized the types of nanomaterials and their applications in pest and disease management and provided an in-depth outlook for the future development of nanopesticides and RNA pesticides, which provided technical support for the high-quality development of agriculture in the future.
Pesticides/chemistry* ; Nanotechnology ; Nanostructures ; RNA ; Agriculture/methods* ; RNA Interference ; Drug Delivery Systems

Objective:To explore the clinical characteristics, treatment and prognosis of hard metal lung disease (HMLD), and to provide a theoretical reference basis for the prevention, control and intervention of HMLD in China.Methods:In April 2024, literatures related to HMLD and giant cell interstitial pneumonia (GIP) published before March 31, 2024 were retrieved in China National Knowledge Infrastructure (CNKI), Wanfang, VIP database, Embase and PubMed. The search terms in Chinese and English included hard metal lung disease, cobalt, tungsten carbide, giant cell interstitial pneumonia, hard metal, etc. Literature was screened and data were extracted. A systematic review was conducted to analyze the clinical characteristics, imaging, pulmonary function, pathological features, treatment and prognosis of HMLD.Results:A total of 55 literatures were included, including 1 cohort study, 4 cross-sectional studies, 4 case series reports and 46 case reports, involving a total of 227 patients with HMLD and GIP. There were 174 male cases, 51 female cases, and 2 cases whose gender was not mentioned. The age was (43.9±13.4) years old, and the dust exposure time was 7 (4, 13) years. The chest images of the patients showed ground glass shadow, micro-nodule shadow, grid shadow, honeycomb shadow, consolidation shadow, etc. Pulmonary function test showed restrictive ventilation dysfunction with gas exchange disorder. The pathological manifestations of lung tissue were typical GIP, but there were also hypersensitivity pneumonitis, common interstitial pneumonia, diffuse alveolar damage, non-specific interstitial pneumonia, and even honeycomb lung. Clinical diagnosis and treatment evaluation were performed by combining the occupational exposure history of hard metal dust or cobalt-containing dust, clinical manifestations, imaging, lung function and histopathology. Treatment involved cessation of exposure, with glucocorticoids alleviating symptoms and improving imaging and pulmonary function.Conclusion:HMLD can be caused by hard metal dust exposure. The clinical symptoms of HMLD are not specific, and the pathology shows typical GIP or other pulmonary interstitial changes. The treatment involves cessation of exposure and administration of glucocorticoids, and the overall prognosis is good.

Objective To investigate the clinical characteristics of patients with chronic abacterial pros-tafitis(CAP),the CAP related factors were analyzed,and a risk prediction model for CAP were constructed and validated.Methods The clinical dataes of 252 suspected CAP patients admitted to the hospital from June 2022 to December 2024 were collected,the patients were divided into modeling set(ni=177)and validation set(n=75)by 7∶3 ratio.Based on the modeling set dataes,the Lasso was used to screen CAP related predictive factors,a logistic multiple factor model was used to analyze the independent influence factors of CAP and a risk prediction model was constructed.The validation set patient dataes were used to plot ROC and DCA and validate the predic-tion model.Results There were 86 cases of CAP in the modeling set,accounting for 48.59％;32 cases of CAP in the validation set,accounting for 42.67％.The Logistic multiple regression analysis showed that BMI,waist to hip ratio,abnormal elevation of IL-8,COX-2,and PGE2 in prostate fluid were independent influence factors of CAP(P＜0.05),a Nomogram column chart based on this was established.The ROC analysis showed that the sensitivity of the model for detecting CAP in the modeling and validation sets were 0.814 and 0.802,respectively,and the specificity were 0.673 and 0.703,respectively.The DCA analysis showed that the net benefit thresholds for model-ing and validation sets by column charts are 0.1～0.9 and 0.2～1.0,respectively.Conclusions The occurrence of CAP is related to the patient's BMI,waist to hip ratio,the levels of IL-8,COX-2,and PGE2 in prostate fluid.The predictive model established based on this is highly accurate and it can help for CAP screening.