ObjectiveTo investigate the value of two-dimensional shear wave elastography （2D-SWE） or serological models used alone or in combination in determining the stage of liver fibrosis in patients with chronic hepatitis B. MethodsA retrospective analysis was performed for the clinical data of 327 patients with chronic hepatitis B who were admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from August 2020 to August 2022 and underwent 2D-SWE and liver histopathological examination， including sex， age， serological markers， and 2D-SWE results. According to the degree of liver fibrosis， they were divided into S0-S1， S≥2， S≥3， and S=4 groups， and the serological models were calculated based on serological markers. A Spearman correlation analysis was used to investigate the correlation of 2D-SWE and serological models with liver fibrosis stage； the receiver operating characteristic curve was plotted with the results of liver histopathology as the standard to compare the efficiency of each parameter used alone or in combination in determining the stage of liver fibrosis； the Delong test was used to investigate the difference between different methods. ResultsLiver stiffness measurement measured by 2D-SWE was strongly correlated with the stage of liver fibrosis （r=0.741， P<0.001）， and as for the serological model， six markers （APRI， FIB-4， GPR， GP， RPR， and S index）， other than AAR， were positively correlated with the stage of liver fibrosis （all P<0.001）. 2D-SWE had an area under the ROC curve （AUC） of 0.878， 0.932， and 0.942， respectively， in the diagnosis of S≥2， S≥3， and S=4 liver fibrosis （all P<0.001）， with an optimal cut-off value of 6.9 kPa， 7.9 kPa， and 9.4 kPa， respectively. Among the serological models， APRI had the largest AUC of 0.788 and 0.875， respectively， in the diagnosis of S≥2 and S=4 liver fibrosis， and S index had the largest AUC of 0.846 in the diagnosis of S≥3 liver fibrosis. In the diagnosis of S≥2， S≥3， and S=4 liver fibrosis， 2D-SWE combined with APRI increased the AUC values to 0.887， 0.938， and 0.950， respectively， and 2D-SWE combined with S index increased the AUC values to 0.879， 0.935， and 0.941， respectively， while there were no significant differences between 2D-SWE and the above combinations （P>0.05）. Conclusion2D-SWE has a better diagnostic efficacy than the above seven serological models in determining liver fibrosis stage. The serological models have a certain diagnostic value， among which APRI and S index have a relatively high diagnostic value. There is no significant difference between 2D-SWE and 2D-SWE combined with serological models， and such combinations cannot significantly improve diagnostic efficiency. Therefore， further studies are needed to explore new combinations of diagnostic methods.

Objective To systematically evaluate and integrate qualitative research related to the psychological experiences and perceptions of body image in bum patients.The goal is to provide a reference basis for developing targeted intervention measures in clinical practice.Methods The databases of CNKI,Wanfang,VIP Chinese Science and Technology Periodical Database,China Biomedical Literature Service System,PubMed,Web of Science,Embase,Medline,Cochrane Library,PsycINFO,and Scopus were applied in our study.Relevant qualitative studies on the body image experience of burn patients from the establishment of the databases until December 2022 were collected.The quality of the included literature was assessed using the 2016 edition of the Joanna Briggs Institute(JBI)Centre for Evidence-based Health Care in Australia,and the results of the literature were integrated using aggregative integration.Results A total of 12 pieces of literature were included,from which 40 research findings were extracted.These findings were ultimately summarized into 4 integrated results:diverse traumatic perceptions of body image changes faced by burn patients,active exploration and negative coping strategies towards body image changes faced by burn patients,emotional information needs and post-traumatic growth.Conclusion Burn patients experience various body image issues that hinder their return to normal life.It is crucial for healthcare professionals to timely attend to the physical and mental well-being of the patients,identify body image disorders,assist families in meeting emotional needs,support patients in self-adjustment,and promote positive outcomes.

Objective: To investigate the willingness to accept preventive treatments and its related factors among college freshmen with latent tuberculosis infection (LTBI), so as to provide the evidence for preventive treatment intervention measures for students with LTBI. Methods: Cluster sampling method was used to select 368 LTBI freshmen from 8 colleges and universities in Changzhou in September 2023, who conducted a questionnaire survey on the willingness to receive preventive treatment. General demographic data were collected and relevant data were collected using tuberculosis knowledge scale, General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Adaptation, Partnership, Growth, Affection and Resolve (APGAR), and a self developed Stigma Scale. A binary Logistic regression model was constructed with the willingness to accept preventive treatment as the dependent variable to analyze the willingness to accept preventive treatment and the influencing factors. Results: A total of 253 LTBI college freshmen were willing to take preventive treatment, the acceptance rate was 68.75%. The rate of willingness to accept preventive treatment for LTBI was higher among students whose fathers had an education level of high school, compared to those whose fathers had an education level of junior high school or below ( OR =2.16, P <0.05). LTBI students whose per capita family income was >5 000-10 000 yuan and >10 000 yuan were more willing to accept LTBI preventive treatment than those whose per capita family income was <3 000 yuan ( OR =2.72, 4.46, P <0.05). LTBI students who engaged in physical exercise for more than 2 hours per week were more willing to accept than those who exercised less than 0.5 hours per week ( OR =1.91, P <0.05). LTBI students with high levels of tuberculosis knowledge and stigma were more likely to receive preventive treatment ( OR =1.18, 1.11, P < 0.05). LTBI students with high PHQ-9 ( OR =0.85) and GAD-7 ( OR =0.92) scores were more likely to refuse preventive treatment ( P <0.05). Conclusion The present study revealed a moderate level of willingness of LTBI students to preventive treatment in Changzhou City, and the acceptance is affected by family factors, healthy lifestyles, tuberculosis knowledge and psychological status.

Objective:To construct an evaluation indicator system for the effectiveness of health education in patients with implanted ports, and to provide a theoretical basis for assessing the outcomes of health education in this patient population.Methods:Based on the Knowledge-Attitude-Practice (KAP) theory, a preliminary framework for the health education indicator system was constructed through literature review and semi-structured interviews. The Delphi method was employed to revise and refine the indices, and the Analytic Hierarchy Process (AHP) was used to calculate the weight of each indicator.Results:The effective response rates for the two rounds of Delphi consultation questionnaires were 100.00% (22/22) and 90.91% (20/22), respectively. The expert authority coefficients were 0.925 and 0.918, respectively. The coordination coefficients of expert opinions for the first and second-level indicators in the second round of expert consultation were 0.194 and 0.333, respectively. The final evaluation indicator system for health education effectiveness in patients with implanted ports included 3 first-level indicators and 36 second-level indicators.Conclusions:The constructed evaluation indicator system for health education effectiveness in patients with implanted ports is scientific and reliable and facilitates the accurate assessment of health education outcomes in this patient population.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

OBJECTIVE To evaluate the effectiveness， safety， economy， innovation， suitability and accessibility of recombinant Mycobacterium tuberculosis fusion protein （EC）， and to provide evidence for selecting skin detection methods for tuberculosis infection diagnosis and auxiliary diagnosis of tuberculosis. METHODS The effectiveness and safety of EC compared with purified protein derivative of tuberculin （TB-PPD） were analyzed by the method of systematic review. Cost minimization analysis， cost-effectiveness analysis and cost-utility analysis were used to evaluate the short-term economy of EC compared with TB-PPD， and cost-utility analysis was used to evaluate the long-term economy. The evaluation dimensions of innovation， suitability and accessibility were determined by systematic review and improved Delphi expert consultation， and the comprehensive score of EC and TB-PPD in each dimension were calculated by the weight of each indicator. RESULTS The scores of effectiveness， safety， economy， innovation and suitability of EC were all higher than those of TB-PPD. The affordability scores of the two drugs were consistent， while the availability score of EC was lower than those of TB-PPD. After considering dimensions and index weight， the scores of effectiveness， safety， economy， innovation， suitability， accessibility and the comprehensive score of EC were all higher than those of TB-PPD. CONCLUSIONS Compared with TB-PPD， EC performs better in all dimensions of effectiveness， safety， economy， innovation， suitability and accessibility. However， it is worth noting that EC should further improve its availability in the dimension of accessibility.

Objective To investigate the association between single nucleotide polymorphisms(SNPs)of YTHDF1 rs6011668,HNRNPA2B1 rs2070601 and rs76558212 with the risk of gastric cancer.Methods A total of 457 cases with gastric cancer and 525 healthy controls were collected.The candidate SNPs were genotyped using Hi-SNP genotyping methods by multiplex rounds of PCR and high-throughput sequencing;the association between the three SNPs with the risk of gastric cancer was analyzed by test and Logistic regression.Multifactorial logistic regression and Risk Score(RS)model was used to analyze the influence of environmental and genetic factors on the risk of gastric cancer.Results YTHDF1rs6011668 TT genotype carriers had 3.075 times higher risk of gastric cancer than CC genotype carriers(95%CI:1.128～8.382,P = 0.028),and 2.961 times higher risk than CC/TC genotypes carriers(95%CI:1.091～8.033,P = 0.033).Subgroups-analysis revealed that TT genotype mainly increased the risk of gastric cancer in non-tea drinkers,pickled food eaters and fried food eaters(P<0.05).In addition,TT genotype carriers had the increased risk of gastric cancer infiltration,lymph node metastasis,distal metastasis and intermediate to advanced stages(P<0.05).The RS of the case and control groups were calculated by combining environmental and genetic factors.The higher the RS score,the higher the risk of gastric cancer was found in the RS quartile groups.Compared with the RS