Objective: To develop a dual-branch deep learning framework for accurate multi-label classification of fundus diseases, addressing the key limitations of insufficient complementary feature extraction and inadequate cross-modal feature fusion in existing automated diagnostic methods. Methods: The fundus multi-label classification dataset with 12 disease categories (FMLC-12) dataset was constructed by integrating complementary samples from Ocular Disease Intelligent Recognition (ODIR) and Retinal Fundus Multi-Disease Image Dataset (RFMiD), yielding 6 936 fundus images across 12 retinal pathology categories, and the framework was validated on both FMLC-12 and ODIR. Inspired by the holistic multi-regional assessment principle of the Five Wheels theory in traditional Chinese medicine (TCM) ophthalmology, the dual-branch multi-label network (DBMNet) was developed as a novel framework integrating complementary visual feature extraction with pathological correlation modeling. The architecture employed a TransNeXt backbone within a dual-branch design: one branch processed red-green-blue (RGB) images to capture color-dependent features, such as vascular patterns and lesion morphology, while the other processed grayscale-converted images to enhance subtle textural details and contrast variations. A feature interaction module (FIM) effectively integrated the multi-scale features from both branches. Comprehensive ablation studies were conducted to evaluate the contributions of the dual-branch architecture and the FIM. The performance of DBMNet was compared against four state-of-the-art methods, including EfficientNet Ensemble, transfer learning-based convolutional neural network (CNN), BFENet, and EyeDeep-Net, using mean average precision (mAP), F1-score, and Cohen's kappa coefficient. Results: The dual-branch architecture improved mAP by 15.44 percentage points over the single-branch TransNeXt baseline, increasing from 34.41% to 44.24%, and the addition of FIM further boosted mAP to 49.85%. On FMLC-12, DBMNet achieved an mAP of 49.85%, a Cohen’s kappa coefficient of 62.14%, and an F1-score of 70.21%. Compared with BFENet (mAP: 45.42%, kappa: 46.64%, F1-score: 71.34%), DBMNet outperformed it by 4.43 percentage points in mAP and 15.50 percentage points in kappa, while BFENet achieved a marginally higher F1-score. On ODIR, DBMNet achieved an F1-score of 85.50%, comparable to state-of-the-art methods. Conclusion DBMNet effectively integrates RGB and grayscale visual modalities through a dual-branch architecture, significantly improving multi-label fundus disease classification. The framework not only addresses the issue of insufficient feature fusion in existing methods but also demonstrates outstanding performance in balancing detection across both common and rare diseases, providing a promising and clinically applicable pathway for standardized, intelligent fundus disease classification.

ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

ObjectiveBased on the theory of "spleen governing transportation and transformation"， this study investigates the efficacy of Atractylodis Macrocephalae Rhizoma processed with Aurantii Fructus Immaturus juice（AMR-AFI） in improving slow-transit constipation（STC）， as well as the synergistic regulatory mechanism involving the microbiota-metabolism axis， thereby elucidating the scientific basis of its processing theory. MethodsAnimals were randomly divided into the control group， model group， positive drug（mosapride） group（3 mg·kg^-1）， and low-， medium-， and high-dose groups of AMR-AFI（3.9， 7.8， 15.6 g·kg^-1）. Except for the control group， the remaining five groups were induced with STC using loperamide hydrochloride. Following modeling， interventions were administered. All groups received continuous administration for 15 d， during which fecal samples， colon tissue， and serum were collected. Constipation improvement was assessed by measuring fecal moisture content and small intestinal propulsion rate， histological morphology of colonic tissue was observed via hematoxylin-eosin（HE） staining， and the levels of interleukin（IL）-6， tumor necrosis factor（TNF）-α， and IL-2 in serum were detected using enzyme-linked immunosorbent assay（ELISA）. Furthermore， the microbial community structure in mouse feces was analyzed by 16S rRNA sequencing， while transcriptomic sequencing was employed to screen differentially expressed genes in colonic tissue， followed by gene ontology（GO） and Kyoto Encyclopedia of Genes and Genomes（KEGG） enrichment analyses. Finally， Spearman correlation analysis was conducted to explore the association between differential microbiota and differential genes. ResultsCompared with the control group， the intestinal propulsion rate and fecal moisture content in the model group were significantly decreased（P<0.01）， while serum levels of IL-6， TNF-α， and IL-2 were significantly elevated（P<0.01）. HE staining showed damage and shedding of colonic mucosal epithelial cells， along with a reduction in goblet cells in the model group. In comparison with the model group， all treatment groups improved the pathological state of the colonic mucosa to varying degrees and reduced serum levels of IL-6， TNF-α， and IL-2（P<0.01）. Among these， the high-dose group of AMR-AFI significantly increased the intestinal propulsion rate and fecal moisture content of rats（P<0.05， P<0.01）. Further transcriptomic analysis revealed that a total of 104 differentially expressed genes were identified from comparisons between the model group and the control group， as well as between the model group and the high-dose group of AMR-AFI. These genes were mainly enriched in pathways closely related to STC pathogenesis， such as arachidonic acid metabolism and aldosterone-regulated sodium reabsorption. 16S rRNA sequencing results indicated that AMR-AFI reversed the structural imbalance of the gut microbiota in model mice， increased species richness， downregulated the relative abundance of pro-inflammatory bacteria such as Parasutterella， and enriched beneficial and butyrate-producing bacteria， including Lachnospiraceae_NK4A136_group， Ruminococcaceae， and Lachnospiraceae. Spearman correlation analysis further showed that the beneficial bacteria enriched in the AMR-AFI group were negatively correlated with genes involved in the arachidonic acid metabolic pathway and positively correlated with genes in the aldosterone-regulated sodium reabsorption pathway. In contrast， pro-inflammatory bacteria in the model group exhibited the opposite correlation trends. ConclusionAMR-AFI can effectively exert synergistic therapeutic effects on STC by regulating intestinal microbiota， arachidonic acid-mediated inflammatory metabolism， and aldosterone-regulated water-salt balance pathways.

Objective To explore the impact of nursing intervention based on the information-motivation-behavioral skill(IMB)model on the acceptance of disability in stroke patients.Methods A total of 92 patients with first-onset stroke who were hospitalized at the Affiliated Hospital of Hangzhou Normal University from July 2022 to December 2023 were selected and divided into experimental group(47 cases)and control group(45 cases)according to the random number table method.The control group received routine care,while the experimental group received nursing intervention based on the IMB model in addition to routine care.The acceptance of disability and depression levels of two groups were compared.Results After the intervention,the acceptance of disability in experimental group was significantly higher than that in control group and increased over time(P＜0.05).The degree of depression in experimental group was significantly lower than that in control group and decreased over time(P＜0.05).Conclusion Nursing intervention based on the IMB model can enhance the acceptance of disability among stroke patients,reduce the degree of depression,and improve disease prognosis,demonstrating good clinical practical value.

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

ObjectiveTo evaluate the quality of Lygodium japonicum (Thunb.) Sw. (L. japonicum, Hai Jin Sha) by comparing its components without stewed (W) and stewed (S) using ultra-high-performance liquid chromatography (UHPLC) and chemometric analysis. Additionally, network pharmacology was employed to investigate the possible mechanisms of action of L. japonicum in the urinary calculi (UC) treatment.MethodsA fingerprinting method was established to identify components through UHPLC-tandem mass spectrometry. Chemometric techniques were used to compare the L. japonicum extraction methods. Furthermore, various network pharmacological approaches were used to identify and analyze the potential targets of the identified components in relation to UC.ResultsThe W and S extracts were distributed into two distinct clusters. Significant differences in the levels of protocatechuic aldehyde, caffeic acid, and p-coumaric acid were observed between S and W. Network pharmacology analysis revealed that the primary targets of L. japonicum in the UC treatment were serum albumin and epidermal growth factor receptors, with potential active components including protocatechuic acid and caffeic acid.ConclusionThis study comprehensively examined the therapeutic components of L. japonicum before and after boiling, shedding light on its potential mechanisms of action in UC treatment. These findings offer valuable insights into the development and utilization of L. japonicum resources.

Objective:To investigate the current status of postoperative Day 1 ambulation in patients undergoing posterior lumbar interbody fusion (PLIF) surgery under an enhanced recovery after surgery (ERAS) protocol, analyze the influencing factors of successful ambulation on postoperative Day 1, and explore the impact of early ambulation on postoperative recovery.Methods:Data from 397 patients who underwent PLIF surgery at Beijing Jishuitan Hospital, Capital Medical University, from September 2023 to July 2024 were retrospectively collected. Patients were divided into two groups based on whether they successfully ambulated on postoperative Day 1: the successful ambulation on Day 1 group and the delayed ambulation group. Binary Logistic regression was used to analyze the factors influencing successful ambulation on postoperative Day 1. Postoperative recovery indicators, including catheter removal time, hospital length of stay, drainage volume on postoperative Day 3, and pain scores for the low back and legs, were compared between the two groups.Results:A total of 378 patients were included in the analysis. Among them, 316 patients (83.6%) successfully ambulated on postoperative Day 1, while 62 patients (16.4%) had delayed ambulation. Logistic regression analysis indicated that postoperative Day 1 hemoglobin classification and pre-ambulation low back pain score in the supine position were independent factors influencing successful ambulation on Day 1 ( P<0.05). The successful ambulation group had a shorter catheter removal time and hospital stay compared to the delayed ambulation group, with statistically significant differences ( P<0.05). There were no significant differences between the two groups in postoperative drainage volume, low back pain scores, leg pain scores, or Oswestry Disability Index scores before discharge (all P>0.05) . Conclusions:Postoperative Day 1 hemoglobin levels and pre-ambulation low back pain scores are independent factors influencing the success of ambulation on postoperative Day 1 in patients undergoing PLIF surgery. Early ambulation on postoperative Day 1 helps reduce catheter removal time and length of hospital stay without increasing postoperative drainage or pain levels.

Objective:To retrieve, evaluate, and summarize the best evidence on ultrasound-guided placement and tip confirmation of peripherally inserted central catheter (PICC) in neonates.Methods:Based on the "6S" evidence pyramid model, literature on ultrasound-guided placement and tip confirmation of PICC in neonates was sequentially searched on guideline websites, professional society websites, and journal databases. The search period was from database establishment to September 30, 2024. Two researchers used uniform criteria for independent quality assessment and evidence extraction from the literature, and the extracted evidence was integrated and summarized.Results:A total of ten articles were included, including five guidelines, one clinical decision, two expert consensus, one Meta-analysis, and one evidence summary. Thirty pieces of evidence were developed in six aspects: personnel qualification and training, catheter selection, assessment of placement veins, ultrasound-guided PICC puncture in neonates, PICC tip confirmation in neonates, and prevention and management of malposition.Conclusions:This study summarizes the best evidence for ultrasound-guided placement and tip confirmation of PICC in neonates. It is recommended that evidence be selected and applied to develop a standardized process for neonatal PICC placement in conjunction with the resource environment of the department and the skill level of the healthcare professionals to improve the quality of nursing and to ensure the safe and effective use of the PICC in clinical practice.

Objective:To investigate the current status of postoperative Day 1 ambulation in patients undergoing posterior lumbar interbody fusion (PLIF) surgery under an enhanced recovery after surgery (ERAS) protocol, analyze the influencing factors of successful ambulation on postoperative Day 1, and explore the impact of early ambulation on postoperative recovery.Methods:Data from 397 patients who underwent PLIF surgery at Beijing Jishuitan Hospital, Capital Medical University, from September 2023 to July 2024 were retrospectively collected. Patients were divided into two groups based on whether they successfully ambulated on postoperative Day 1: the successful ambulation on Day 1 group and the delayed ambulation group. Binary Logistic regression was used to analyze the factors influencing successful ambulation on postoperative Day 1. Postoperative recovery indicators, including catheter removal time, hospital length of stay, drainage volume on postoperative Day 3, and pain scores for the low back and legs, were compared between the two groups.Results:A total of 378 patients were included in the analysis. Among them, 316 patients (83.6%) successfully ambulated on postoperative Day 1, while 62 patients (16.4%) had delayed ambulation. Logistic regression analysis indicated that postoperative Day 1 hemoglobin classification and pre-ambulation low back pain score in the supine position were independent factors influencing successful ambulation on Day 1 ( P<0.05). The successful ambulation group had a shorter catheter removal time and hospital stay compared to the delayed ambulation group, with statistically significant differences ( P<0.05). There were no significant differences between the two groups in postoperative drainage volume, low back pain scores, leg pain scores, or Oswestry Disability Index scores before discharge (all P>0.05) . Conclusions:Postoperative Day 1 hemoglobin levels and pre-ambulation low back pain scores are independent factors influencing the success of ambulation on postoperative Day 1 in patients undergoing PLIF surgery. Early ambulation on postoperative Day 1 helps reduce catheter removal time and length of hospital stay without increasing postoperative drainage or pain levels.