BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

Objective:To culturally adapt the eHealth Literacy Questionnaire (eHLQ) into Chinese and validate its reliability and validity in stroke patients, so as to provide a basis for comprehensive evaluation of electronic health literacy in stroke patients.Methods:From May to September 2024, the Brislin translation model was adopted for translation, and the expert consultation was used for cultural adaptation. Followed by preliminary testing to finalize the Chinese version of eHLQ. A convenience sample of the stroke patients was recruited from Beijing Tiantan Hospital, Capital Medical University and Tianjin Huanhu Hospital between October 2024 to February 2025 to conduct a cross-sectional study and evaluate the scale's reliability and validity.Results:Finally, 415 stroke patients were included, with 284 males and 131 females, aged (61.26 ± 9.75) years. The Chinese eHLQ comprised 7 dimensions and 35 items. The item-level content validity index ranged from 0.875 to 1.000, and the scale-level content validity index of universal agreement was 0.857. Exploratory factor analysis revealed KMO value of 0.922, with a cumulative variance contribution rate of 68.90% and factor loading ranging from 0.515 to 0.803. Confirmatory factor analysis demonstrated satisfactory model fit indices: χ2/ df was 1.639, incremental fit index was 0.913, Tucker-Lewis index was 0.902, comparative fit index was 0.912, goodness-of-fit index was 0.812, and root mean square error of approximation was 0.056. The overall Cronbach α coefficient was 0.941, with subscale Cronbach α ranging from 0.825 to 0.894. The test-retest reliability was 0.954. Conclusions:The Chinese version of the eHLQ exhibits excellent reliability and validity, serving as an effective tool for assessing eHealth literacy among stroke patients in China.

With the rapid advancement of global technology, digital innovations are having an increasingly profound impact on the medical and nursing sectors. Following the establishment of the "One Core, Two Wings" framework under the China Brain Project and the launch of the "brain science and brain-like research" initiative, the digital era presents both new opportunities and challenges for neurosurgical nursing. This paper reviews domestic and international literature to summarize the developmental trends of neurosurgical nursing in the digital era, systematically introduces the current applications of digital technologies in neurosurgical nursing and discusses future prospects. The aim is to provide valuable insights and recommendations for the future development of neurosurgical nursing.

Objective:To investigate and analyze the service needs of family members of Neurosurgical Intensive Care Unit patients and provide references for improving Neurosurgical Intensive Care Unit nursing services.Methods:Totally 270 family members of neurosurgical patients hospitalized between March and May 2024 at Intensive Care Unit of Beijing Tiantan Hospital, Capital Medical University were selected by convenience sampling. Kano Model-based Questionnaire on the Needs of Family Members of Neurosurgical Intensive Care Unit Patients designed based on literature review and expert consultation, was distributed to investigate their families service needs. The Kano model analysis was applied to categorize service needs and prioritize them, followed by constructing a satisfaction-importance quadrant diagram.Results:A total of 270 questionnaires were distributed, with 248 valid responses collected, yielding an effective response rate of 91.85% (248/270) . The Kano attribute analysis revealed that all service needs were classified as "expected attributes". The satisfaction-importance quadrant diagram indicated that 10 items were located in the "advantage zone", nine items in the "retention zone", four items in the "observation zone", and seven items in the "improvement zone".Conclusions:The Kano model-based analysis of service needs helps healthcare providers identify the diverse needs of family members of Neurosurgical Intensive Care Unit patients. It is recommended that while maintaining the provision of services in the "advantage zone", healthcare providers integrate hospital resources to continuously improve services in the "improvement zone" to enhance family satisfaction and strengthen hospital competitiveness.

Neurological diseases are characterized by high rates of disability, mortality, recurrence, and prolonged disease courses, making Neurological Intensive Care Unit patients vulnerable during the transition phase to risks such as downgraded monitoring and reduced treatment and nursing support. These factors contribute to higher rates of unplanned ICU readmission, decreased patient satisfaction, and reduced quality of life. Effective transitional care can reduce adverse events and improve clinical outcomes. This article introduces the relevant concepts of transitional care for Neurological Intensive Care Unit patients, summarizes domestic and international transitional care models, and explores the application outcomes of these models to provide guidance and support for transitional care practices in Neurological Intensive Care Unit patients.

Objective:To explore the current status of decision conflicts among family members of Neurosurgical Intensive Care Unit patients and its influencing factors, so as to provide a reference for meeting the decision needs of family members of Neurosurgical Intensive Care Unit patients.Methods:Convenience sampling was used to select 150 family members of Neurosurgical Intensive Care Unit patients from Beijing Tiantan Hospital affiliated with Capital Medical University from March to May 2024 for the study. General Information Questionnaire, Decisional Conflict Scale, Control Preference Scale, Preparation Decision Making, and Impact of Event Scale were used to survey the study participants. Multiple linear regression was used to analyze the factors influencing decision conflicts among family members of Neurosurgical Intensive Care Unit patients.Results:A total of 150 questionnaires were distributed, six questionnaires whose answers showed obvious patterns were excluded, 144 valid questionnaires were recovered, and the effective recovery rate of the questionnaires was 96.0% (144/150) . The total score of the Decisional Conflict Scale of family members of Neurosurgical Intensive Care Unit patients was (34.95±9.99) . Multiple linear regression analysis showed that decision readiness and impact of events were influencing factors of decision conflicts among family members of Neurosurgical Intensive Care Unit patients, and the difference was statistically significant ( P<0.05) . Conclusions:There are certain decision conflicts among family members of Neurosurgical Intensive Care Unit patients. Healthcare professionals should pay attention to family members' decision readiness and the impact of events, and develop targeted decision interventions to reduce decision conflicts of family members in order to promote a smooth medical decision process.

Objective:To culturally adapt the eHealth Literacy Questionnaire (eHLQ) into Chinese and validate its reliability and validity in stroke patients, so as to provide a basis for comprehensive evaluation of electronic health literacy in stroke patients.Methods:From May to September 2024, the Brislin translation model was adopted for translation, and the expert consultation was used for cultural adaptation. Followed by preliminary testing to finalize the Chinese version of eHLQ. A convenience sample of the stroke patients was recruited from Beijing Tiantan Hospital, Capital Medical University and Tianjin Huanhu Hospital between October 2024 to February 2025 to conduct a cross-sectional study and evaluate the scale's reliability and validity.Results:Finally, 415 stroke patients were included, with 284 males and 131 females, aged (61.26 ± 9.75) years. The Chinese eHLQ comprised 7 dimensions and 35 items. The item-level content validity index ranged from 0.875 to 1.000, and the scale-level content validity index of universal agreement was 0.857. Exploratory factor analysis revealed KMO value of 0.922, with a cumulative variance contribution rate of 68.90% and factor loading ranging from 0.515 to 0.803. Confirmatory factor analysis demonstrated satisfactory model fit indices: χ2/ df was 1.639, incremental fit index was 0.913, Tucker-Lewis index was 0.902, comparative fit index was 0.912, goodness-of-fit index was 0.812, and root mean square error of approximation was 0.056. The overall Cronbach α coefficient was 0.941, with subscale Cronbach α ranging from 0.825 to 0.894. The test-retest reliability was 0.954. Conclusions:The Chinese version of the eHLQ exhibits excellent reliability and validity, serving as an effective tool for assessing eHealth literacy among stroke patients in China.

With the rapid advancement of global technology, digital innovations are having an increasingly profound impact on the medical and nursing sectors. Following the establishment of the "One Core, Two Wings" framework under the China Brain Project and the launch of the "brain science and brain-like research" initiative, the digital era presents both new opportunities and challenges for neurosurgical nursing. This paper reviews domestic and international literature to summarize the developmental trends of neurosurgical nursing in the digital era, systematically introduces the current applications of digital technologies in neurosurgical nursing and discusses future prospects. The aim is to provide valuable insights and recommendations for the future development of neurosurgical nursing.

Objective:To investigate and analyze the service needs of family members of Neurosurgical Intensive Care Unit patients and provide references for improving Neurosurgical Intensive Care Unit nursing services.Methods:Totally 270 family members of neurosurgical patients hospitalized between March and May 2024 at Intensive Care Unit of Beijing Tiantan Hospital, Capital Medical University were selected by convenience sampling. Kano Model-based Questionnaire on the Needs of Family Members of Neurosurgical Intensive Care Unit Patients designed based on literature review and expert consultation, was distributed to investigate their families service needs. The Kano model analysis was applied to categorize service needs and prioritize them, followed by constructing a satisfaction-importance quadrant diagram.Results:A total of 270 questionnaires were distributed, with 248 valid responses collected, yielding an effective response rate of 91.85% (248/270) . The Kano attribute analysis revealed that all service needs were classified as "expected attributes". The satisfaction-importance quadrant diagram indicated that 10 items were located in the "advantage zone", nine items in the "retention zone", four items in the "observation zone", and seven items in the "improvement zone".Conclusions:The Kano model-based analysis of service needs helps healthcare providers identify the diverse needs of family members of Neurosurgical Intensive Care Unit patients. It is recommended that while maintaining the provision of services in the "advantage zone", healthcare providers integrate hospital resources to continuously improve services in the "improvement zone" to enhance family satisfaction and strengthen hospital competitiveness.