Objective　To investigate the association between neutrophil-to-lymphocyte ratio (NLR) and the state of sustained immune response after hepatitis B vaccination, to explore the possibility to predict the effect of hepatitis B vaccination.Methods　Data were analysed from 10 153 individuals aged 18 years and older who had received three doses of hepatitis B vaccine and met the inclusion criteria in the National Health and Nutrition Examination Survey (NHANES) 1999-2018. They were divided into seropositive and seronegative groups based on the results of post-vaccination hepatitis B marker testing. The association between NLR and sustained immune response status after hepatitis B vaccination was assessed using a variety of methods, including multivariate weighted logistic regression models, generalised linear analysis, and smoothed curve fitting.Results　This study included 10 153 subjects with a mean age of 35.36 years, 42.82% male and 57.18% female. Adjusted multivariate weighted logistic regression models showed that for each unit increase in NLR level, the odds of a sustained immune response after hepatitis B vaccination decreased by 7% (OR=0.93, 95%CI: 0.88-0.97). Stratified analysis of NLR levels showed that the odds of a sustained immune response were 37% lower in the group with the highest NLR levels (T4) compared with the lowest group (T1) (OR=0.63, 95%CI: 0.47-0.85), and the odds of a sustained immune response were 30% lower in the T3 group compared with the T1 group (OR=0.70, 95%CI: 0.53-0.91). Restricted cubic spline analysis showed a non-linear relationship between NLR and sustained immune response status after hepatitis B vaccination (P non-linear<0.05), approximating an 'L' curve. Inflection point analysis showed that when NLR <2.16, elevated NLR significantly reduced the occurrence of sustained immune response status after hepatitis B vaccination; when NLR >2.16, the effect of its elevation on the production of sustained immune response after vaccination leveled off.Conclusion　NLR levels were negatively associated with the development of a sustained immune response after hepatitis B vaccination. Lower NLR levels have a strong positive correlation with sustained immune response after hepatitis B vaccination, whereas higher NLR levels may attenuate the effect of hepatitis B vaccination.

BACKGROUND: The STAR (Scientific, Transparent, and Applicable Rankings) working group conducts regular evaluations of Chinese guidelines and consensus statements. This study gathered insights from STAR working group members using qualitative interviews. METHODS: From March to August 2023, members of the STAR specialist committees were interviewed using semi-structured interview outline. The interviewees were selected through purpose-based sampling. Subject analysis was employed to summarize the findings. RESULTS: We conducted interviews with 37 members from 36 committees and summarized the contents into four main themes and 16 specific topics. The value of STAR in enhancing the development and selection of high-quality guidelines in China was commonly mentioned. Challenges identified included the lack of resources and suboptimal organizational structures, collaboration, and evaluation efficiency. Suggestions for the STAR tool included developing extensions for different guideline types, adjusting certain items, and better covering guideline applicability. The promotion of STAR and the consideration of an international committee for global outreach were also highlighted. CONCLUSION STAR has exerted a substantial influence on the evaluation of Chinese guidelines, and the insights gained from interviews offer valuable directions for its further enhancement.
Humans ; China ; Qualitative Research ; Practice Guidelines as Topic ; Interviews as Topic

Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in medical imaging across a variety of modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET), and pathological imaging. However, most existing state-of-the-art AI techniques are task-specific and focus on a limited range of imaging modalities. Compared to these task-specific models, emerging foundation models represent a significant milestone in AI development. These models can learn generalized representations of medical images and apply them to downstream tasks through zero-shot or few-shot fine-tuning. Foundation models have the potential to address the comprehensive and multifactorial challenges encountered in clinical practice. This article reviews the clinical applications of both task-specific and foundation models, highlighting their differences, complementarities, and clinical relevance. We also examine their future research directions and potential challenges. Unlike the replacement relationship seen between deep learning and traditional machine learning, task-specific and foundation models are complementary, despite inherent differences. While foundation models primarily focus on segmentation and classification, task-specific models are integrated into nearly all medical image analyses. However, with further advancements, foundation models could be applied to other clinical scenarios. In conclusion, all indications suggest that task-specific and foundation models, especially the latter, have the potential to drive breakthroughs in medical imaging, from image processing to clinical workflows.
Humans ; Artificial Intelligence ; Deep Learning ; Diagnostic Imaging/methods* ; Magnetic Resonance Imaging ; Tomography, X-Ray Computed ; Positron-Emission Tomography

OBJECTIVE: To compare the effectiveness and advantages of the double reverse traction reduction versus open reduction internal fixation for treating complex tibial plateau fractures. METHODS: A clinical data of 25 patients with Schatzker type Ⅴ or Ⅵ tibial plateau fractures, who met the selection criteria and were admitted between January 2019 and January 2023, was retrospectively analyzed. Thirteen patients underwent double reverse traction reduction and internal fixation (double reverse traction group), while 12 patients underwent open reduction and internal fixation (traditional open group). There was no significant difference in the baseline data (age, gender, injury mechanism, Schatzker classification, interval between injury and operation) between the two groups ( P>0.05). The effectiveness were evaluated and compared between the two groups, included operation time, intraoperative blood loss, incision length, hospital stay, full weight-bearing time, complications, fracture healing, Rasmussen radiological score (reduction quality), knee Hospital for Special Surgery (HSS) score, and knee flexion/extension range of motion. RESULTS: The double reverse traction group demonstrated significantly superior outcomes in operation time, intraoperative blood loss, hospital stay, incision length, and time to full weight-bearing ( P<0.05). Two patients in traditional open group developed incisional complications, while the double reverse traction group had no complication. There was no significant difference in the incidence of complication between the two groups ( P>0.05). All patients were followed up 24-36 months (mean, 30 months), with no significant difference in follow-up duration between groups ( P>0.05). Fractures healed in both groups with no significant difference in healing time ( P>0.05). At 6 months after operation, Rasmussen radiological scores and grading showed no significant difference between the two groups ( P>0.05); the double reverse traction group had significantly higher HSS scores compared to the traditional open group ( P<0.05). At 12 months after operation, knee flexion/extension range of motion were significantly greater in the double reverse traction group than in the traditional open group ( P<0.05). CONCLUSION Double reverse traction reduction offers advantages over traditional open reduction, including shorter operation time, reduced blood loss, minimized soft tissue trauma, and improved joint functional recovery. It is a safe and reliable method for complex tibial plateau fractures.
Humans ; Tibial Fractures/surgery* ; Fracture Fixation, Internal/methods* ; Male ; Female ; Traction/methods* ; Retrospective Studies ; Middle Aged ; Adult ; Open Fracture Reduction/methods* ; Treatment Outcome ; Range of Motion, Articular ; Fracture Healing ; Operative Time ; Length of Stay ; Blood Loss, Surgical ; Aged ; Tibial Plateau Fractures

Flavonoid 3-O-glucosyltransferase (3GT) is a key enzyme in the glucosidation of anthocyanins. To investigate the 3GT gene in rhododendron, we cloned an open reading frame (ORF) of 3GT gene (named Rh3GT) from Rhododendron hybridum Hort (Red cultivar) and then characterized this gene and the deduced protein in terms of the biochemical characteristics, expression level, and enzymatic function. The results showed that Rh3GT had a full length of 993 bp and encoded 330 amino acid residues. The deduced protein was hydrophilic, stable, weak acid, belonging to the glycosyltransferase family (GT-B type), with glutamine (Q) at position 44 in the PSPG box. The phylogenetic analysis showed that Rh3GT was most closely related to Vc3GT from Vaccinium corymbosum and Vm3GT from Vaccinium myrtillus. Rh3GT was expressed in the stems, leaves, and flowers and almost not expressed in the roots, with the highest expression level in petals during full blooming stage. Introduction of pCAMBIAL1302-Rh3GT into petals significantly up-regulated the expression level of Rh3GT and increased the total anthocyanin accumulation. Rh3GT was successfully expressed in Escherichia coli BL21 in the form of inclusion bodies with a size of about 36 kDa. The results of HPLC showed that the recombinant Rh3GT after denaturation, purification, and dilution could catalyze the synthesis of cyanidin and UDP-glucose to synthesize cyanidin 3-O-glucoside, indicating that the expressed protein had 3GT activity. This study provides basic data for further studying the molecular regulation mechanism of anthocyanin biosynthesis and theoretical support for molecular breeding of rhododendron.
Rhododendron/classification* ; Glucosyltransferases/metabolism* ; Cloning, Molecular ; Escherichia coli/metabolism* ; Recombinant Proteins/biosynthesis* ; Anthocyanins/biosynthesis* ; Phylogeny ; Plant Proteins/metabolism* ; Amino Acid Sequence

Objective To investigate the status of occupational hazards in large-scale coal mines in Wuchang region, Xinjiang Uygur Autonomous Region (hereinafter referred to as "Xinjiang"). Methods Three large underground coal mines at Wuchang region from Xinjiang in 2022 were selected as research subjects using a purposive sampling method. Result of worksite survey of occupational health, occupational hazards detection, and occupational medical examinations of workers were conducted. ResultsThe main occupational hazards in the three coal mines were dust and noise. The level of free silica in 10 dust samples of workplaces was below 10.0%, indicating that the dust type was coal dust. The exceedance rate of the normalization of equivalent continuous A-weighted sound pressure level to a nominal 8 hours work day was 1.7% (2/119). The exceedance rates for exposure concentration of short term total dust and respiratory dust concentrations from fixed-point sampling were 2.1% (1/47) and 2.2% (1/45), respectively, while the exceedance rate for exposure concentration of time weighted average of respiratory dust from personal sampling was 8.9% (4/45). The occupational medical examination coverage rate among workers exposed to occupational hazards was 64.6% (1 149/1 780), and the abnormality rate was 20.7%. Conclusion The overall situation of occupational hazards in the coal mines in the Wuchang region remains concerning. The dust and noise levels exceed the national occupational health standard in some workplace. Attention should be paid to strengthen the management of dust and noise hazards in large underground coal mines in this region.

OBJECTIVE To optimize ethanol extraction process of Yihuang powder. METHODS An orthogonal experiment was designed by reflux extraction with ethanol volume fraction， liquid-to-material ratio， and extraction time as investigation factors. The parameters used were the contents of hesperidin， nobiletin， tangeretin， gallic acid， chebulagic acid， chebulinic acid， liquiritin， glycyrrhizin， eugenol， and the paste-forming rate. The analytic hierarchy process （AHP） was used to calculate the comprehensive score. The optimal ethanol extraction process parameters of Yihuang powder were determined by verifying the results predicted by orthogonal experiment and genetic algorithm （GA）-back propagation neural network （BP neural network）. RESULTS The optimal ethanol extraction process parameters， as optimized by orthogonal experiment， were as follows: ethanol volume fraction of 60%， liquid-solid ratio of 14∶1 （mL/g)， extraction time of 90 min， and extraction for 2 times. The comprehensive score obtained by verification was 79.19. Meanwhile， the optimal ethanol extraction process parameters， optimized by GA-BP neural network， were ethanol volume fraction of 65%， liquid-solid ratio of 14∶1 （mL/g )， extraction time of 60 min， and extraction for 2 times. The comprehensive score obtained by verification was 85.30， higher than the results obtained from orthogonal experiment. CONCLUSIONS The optimization method of orthogonal experiment combined with GA-BP neural network is superior to the traditional orthogonal experiment optimization method. The optimized ethanol extraction process of Yihuang powder is stable and reliable.

Objective To investigate the value of radiomics nomogram model based on enhanced CT for predicting postoperative pancreatic fistula(POPF)in patients undergoing pancreaticoduodenectomy(PD).Methods The clinical and abdominal imaging data of 82 patients who underwent PD were analyzed retrospectively.They were divided into training set and validation set at a ratio of 3∶2.In the venous phase of CT,the maximum slice of the pancreatic duct was selected to delineate the region of interest(ROI),and the features were extracted and screened to construct the radiomics model.The independent risk factors associated with POPF were screened by univariate and multivariable logistic regression analyses to construct the clinical model.A nomogram model was created by combining Radiomics score(Radscore)and clinical risk factors.The diagnostic performance of the model was verified by the vali-dation set.Results The nomogram model demonstrated significant predictive power,with an area under the curve(AUC)of 0.862 and 0.806 in the training set and validation set,respectively.Conclusion The nomogram model exhibits excellent predictive performance and outperforms the clinical model and radiomics model in predicting POPF,which can provide important guidance for clinical deci-sion-making.

Natural killer(NK)cells are important members of innate immune system,playing an important role in anti-viral and anti-tumor responses.Development and differentiation of NK cells go through multiple stages and are regulated by a variety of factors.Conventional NK(cNK)cells,which are widely present in peripheral tissues of adult organisms,mainly develop from bone marrow hematopoietic stem cells(HSCs)through common lymphoid progenitors(CLPs)and NK cell precursors(NKPs).Transcrip-tion factors play a key role in regulating differentiation of hematopoietic precursors into NK cells.In recent years,with discovery and in-depth study of other members of innate lymphoid cells(ILCs)family,it has been revealed that NK cells have a developmental path-way independent of other ILC subsets,development and differentiation stages of NK cells have been more finely defined,and a series of transcription factors regulating development and differentiation of NK cells at various stages have been gradually discovered.This article focuses on definition of NK cell development stages and regulation of transcription factors,which will improve our understanding of development and differentiation of NK cells.

Objective:To explore the effect of communication competence and psychological resilience on job burnout among Operating Room nurses.Methods:From March to June 2023, randomized clustering sampling was used to select 138 registered Operating Room nurses from four ClassⅢ Grade A hospitals in Taizhou for investigation. The survey was conducted using the general information questionnaire, Operating Room Nurses' Job Stressor Scale, Chinese version of the Connor-Davidson Resilience Scale, Nurses' Clinic Communication Competence Scale, and Maslach Burnout Inventory-General Survey. Hierarchical linear regression analysis was used to explore the effects of communication competence and psychological resilience on job burnout among Operating Room nurses.Results:A total of 138 questionnaires were sent out, and 133 valid questionnaires were collected, with a valid response rate of 96.38% (133/138). Among 133 Operating Room nurses, the job burnout score was (56.35±9.28), and the communication competence, psychological resilience, and work stress scale scores were (196.71±18.92), (78.09±18.31), and (96.37±22.47), respectively. Pearson correlation showed that job burnout among Operating Room nurses was negatively correlated with psychological resilience ( r=-0.475, P<0.01) and communication competence ( r=-0.241, P<0.01), and positively correlated with work stress ( r=0.360, P<0.01). Hierarchical linear regression analysis showed that, after controlling for other variables, psychological resilience and communication competence were the influencing factors of job burnout among Operating Room nurses ( P<0.01), which could explain 17.70% of the variation. Conclusions:The level of job burnout among Operating Room nurses is relatively high, and psychological resilience and communication competence are independent influencing factors. Managers can provide psychological counseling and support services for Operating Room nurses, offer communication competence training programs, and prevent and reduce job burnout among Operating Room nurses.