Community-acquired pneumonia （CAP） refers to an infectious inflammation of the lung parenchyma （including the alveolar wall，that is，the broad pulmonary interstitium） acquired outside the hospital. Its common pathogens include streptococcus pneumoniae，respiratory viruses， mycoplasma pneumoniae， and so on. The related factors for the occurrence and development of CAP include patient characteristics （immune function，mucus production and clearance function，coagulation function，physical condition， and comorbidity） and pathogen characteristics （susceptibility，virulence，and antibiotic resistance）. The pathogenesis of CAP lies in immune deficiency，pathogen invasion，inflammatory response disorder，mucus production and clearance disorder， coagulation disorder， and so on. The pathogenesis of CAP in traditional Chinese medicine can be described as "vital Qi deficiency and toxic stasis". Vital Qi deficiency （lack of immunity） is the potential pathogenesis of the disease and easy to be invaded by external pathogens （respiratory pathogens）. Toxic stasis （inflammatory disorder，mucus production and clearance disorder，and coagulation dysfunction） is the key pathogenic factor. Vital Qi deficiency and toxic stasis are intermingled in a state of deficiency and excess，which suggests that the treatment of CAP lies in strengthening vital Qi and eliminating pathogenic factors. This involves strengthening vital Qi in the whole process to consolidate body resistance and nourish promordial Qi. It also involves clearing heat，eliminating phlegm，removing dampness，and dispelling stasis to dispel pathogenic toxins based on the syndrome differentiation. Its action mechanism is to regulate immune and inflammatory responses，resist pathogens，and improve mucus production and clearance， as well as coagulation disorders. Starting from the key pathogenesis of CAP，"vital Qi deficiency and toxic stasis"， this paper discussed the pathogenesis of CAP and summarized the action mechanism of vital Qi strengthening for detoxification in its treatment. It is intended to complement the theoretical system by identifying "vital Qi deficiency and toxic stasis" as the key pathogenesis underlying CAP and the scientific connotation of treating CAP with vital Qi strengthening for detoxification，thereby providing insights for its clinical application.

Objective To explore the effect of accelerated intermittent theta burst stimulation(aiTBS)on post-stroke depression(PSD).Methods From July,2021 to July,2023,48 PSD patients in Beijing Bo'ai Hospital were randomly assigned to control group(n=16),high-frequency repetitive transcranial magnetic stimulation(HF-rTMS)group(n=16)and aiTBS group(n=16).aiTBS group received left-sided aiTBS treatment at dorsolateral prefrontal cortex(DLPFC),HF-rTMS group received left-sided 10 Hz rTMS treatment at DLPFC,and the control group received left-sided sham stimulation treatment,for three weeks.They were evaluated with the Hamilton Depression Rating Scale(HAMD),Hamilton Anxiety Rating Scale(HAMA)and Beck Depression Inventory(BDI)before and after treat-ment,and one month of follow-up.Results One case dropped down in each group.The inter-group effect,intra-group effect and interaction effect of HAMD,HAMA and BDI scores were all significant(F>3.235,P<0.05).The post-hoc test results showed that the scores of HAMD,HMMA and BDI were lower in HF-rTMS group and aiTBS group than in the control group(P<0.05),and no significant difference was found between HF-rTMS group and aiTBS group(P>0.05).There was significant difference in the effective rate of depression improvement among three groups(χ2=7.834,P=0.019),the effective rate was higher in aiTBS group than in the control group(P<0.017),and no significant dif-ference was found between HF-rTMS group and aiTBS group(P>0.017).Conclusion aiTBS can improve the depression and anxiety symptoms of patients with PSD,with shorter treatment time,compared with HF-rTMS.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Objective To construct a discharge preparation plan for patients with head and neck cancer undergo-ing tracheotomy and explore its application effect to provide a reference for improving the at-home self-care ability of tracheostomy patients with head and neck cancer.Methods The discharge preparation plan for patients with head and neck cancer undergoing tracheotomy was constructed through literature analysis and expert consultation.A total of 160 patients with tracheotomy for head and neck cancer who were hospitalized in the Department of Oto-laryngology and Head and Neck Surgery of a tertiary A general hospital in Jinan City,Shandong Province from May 2023 to February 2025 were selected by convenience sampling method as the study subjects,and were divided into an experimental group and a control group by block randomization method,with 80 cases in each group.The ex-perimental group received a discharge preparation plan for patients undergoing tracheotomy for head and neck can-cer,while the control group received routine nursing and health education.Data from admission to 1 month after discharge were collected.The levels of mindfulness awareness,self-care ability,and discharge readiness were compared between 2 groups of patients before and after intervention.Results The constructed discharge preparation plan in-cludes 5 stages(pre-contemplation,contemplation,preparation,action,and maintenance).There were no sample dropouts in either group of patients.The experimental group had higher levels of mindfulness awareness,self-care ability and discharge readiness scores than the control group,and the differences were statistically significant(P＜0.001).Conclusion The discharge preparation plan for patients with head and neck cancer undergoing tra-cheotomy is scientifically reasonable,safe,and feasible,which can effectively improve patients' discharge preparation and mindfulness level,and enhance their self-care ability.

OBJECTIVES: To investigate the mechanism by which Guijianyu ameliorates podocyte injury in a mouse model of diabetic kidney disease (DKD) induced by advanced glycation endproducts (AGEs). METHODS: Sixty db/db mouse models of DKD were randomized equally into 5 groups for treatment with saline, Guijianyu extract at 3 doses or irbesartan for 12 weeks, and the changes in renal pathology and structure were observed using transmission electron microscopy, and the expressions of related genes and key proteins were detected using RT-qPCR and immunohistochemistry. In cultured MPC-5 cells incubated with 50 mg/L AGEs-BSA for 24 h, the effect of different concentrations of Guijianyu extract on cell viability was examined with CCK-8 assay; Western blotting was performed to detect the protein expressions of RAGE, VEGFA, TNF-α, NF-κB(p65), IL-6 and caspase-3, and the mRNA expressions of RAGE, NF-κB (p65), VEGFA and IL-6 were detected with RT-qPCR. RESULTS: In mouse models of DKD, treatment with high-dose Guijianyu extract significantly reduced renal expressions of RAGE, VEGFA, NF-κB(p65), and IL-6 proteins and the mRNA expressions of RAGE, NF-κB, and IL-6. In MPC-5 cells, exposure to AGEs significantly reduced cell viability and increased the protein expressions of RAGE, NF‑κB (p65), VEGFA, TNF-α, IL-6 and caspase-3 (P<0.05) and mRNA expressions of RAGE, NF-κB (p65), VEGFA, and IL-6. Treatment with Guijianyu extract obviously improved cell viability and reduced the expressions of RAGE, NF-κB(p65), VEGFA, TNF-α, IL-6, and caspase-3. Furthermore, Guijianyu extract effectively reversed RAGE agonist-induced elevation of protein expressions of RAGE, VEGFA, TNF-α, IL-6, and caspase-3 and mRNA expressions of RAGE, NF-κB (p65), IL-6, and VEGFA in MPC-5 cells. CONCLUSIONS Guijianyu extract ameliorates AGEs-induced mouse renal podocyte injury in DKD by inhibiting the activation of AGEs-RAGE signaling pathway and reducing the expressions of pro-inflammatory cytokines and vascular endothelial growth factors.
Animals ; Glycation End Products, Advanced ; Drugs, Chinese Herbal/pharmacology* ; Mice ; Signal Transduction/drug effects* ; Podocytes/pathology* ; Diabetic Nephropathies/drug therapy* ; Receptor for Advanced Glycation End Products ; Vascular Endothelial Growth Factor A/metabolism* ; Interleukin-6/metabolism* ; Male

Objective To investigate the mechanism by which Guijianyu ameliorates podocyte injury in a mouse model of diabetic kidney disease(DKD)induced by advanced glycation endproducts(AGEs).Methods Sixty db/db mouse models of DKD were randomized equally into 5 groups for treatment with saline,Guijianyu extract at 3 doses or irbesartan for 12 weeks,and the changes in renal pathology and structure were observed using transmission electron microscopy,and the expressions of related genes and key proteins were detected using RT-qPCR and immunohistochemistry.In cultured MPC-5 cells incubated with 50 mg/L AGEs-BSA for 24 h,the effect of different concentrations of Guijianyu extract on cell viability was examined with CCK-8 assay;Western blotting was performed to detect the protein expressions of RAGE,VEGFA,TNF-α,NF-κB(p65),IL-6 and caspase-3,and the mRNA expressions of RAGE,NF-κB(p65),VEGFA and IL-6 were detected with RT-qPCR.Results In mouse models of DKD,treatment with high-dose Guijianyu extract significantly reduced renal expressions of RAGE,VEGFA,NF-κB(p65),and IL-6 proteins and the mRNA expressions of RAGE,NF-κB,and IL-6.In MPC-5 cells,exposure to AGEs significantly reduced cell viability and increased the protein expressions of RAGE,NF-κB(p65),VEGFA,TNF-α,IL-6 and caspase-3(P<0.05)and mRNA expressions of RAGE,NF-κB(p65),VEGFA,and IL-6.Treatment with Guijianyu extract obviously improved cell viability and reduced the expressions of RAGE,NF-κB(p65),VEGFA,TNF-α,IL-6,and caspase-3.Furthermore,Guijianyu extract effectively reversed RAGE agonist-induced elevation of protein expressions of RAGE,VEGFA,TNF-α,IL-6,and caspase-3 and mRNA expressions of RAGE,NF-κB(p65),IL-6,and VEGFA in MPC-5 cells.Conclusion Guijianyu extract ameliorates AGEs-induced mouse renal podocyte injury in DKD by inhibiting the activation of AGEs-RAGE signaling pathway and reducing the expressions of pro-inflammatory cytokines and vascular endothelial growth factors.

OBJECTIVE: To investigate the effectiveness of delayed replantation of degloving skin preserved at 4℃ in treatment of limb degloving injuries. METHODS: Between October 2020 and October 2023, 12 patients with limb degloving injuries were admitted. All patients had severe associated injuries or poor wound conditions that prevented primary replantation. There were 7 males and 5 females; age ranged from 29 to 46 years, with an average of 39.2 years. The causes of injury included machine entanglement in 6 cases, traffic accidents in 5 cases, and sharp instrument cuts in 1 case. Time from injury to hospital admission was 0.5-3.0 hours, with an average of 1.3 hours. Injury sites included upper limbs in 7 cases and lower limbs in 5 cases. The range of degloving skin was from 5 cm×4 cm to 15 cm×8 cm, and all degloving skins were intact. The degloving skin was preserved at 4℃. After the patient's vital signs became stable and the wound conditions improved, it was trimmed into medium-thickness skin grafts for replantation. The degloving skin was preserved for 3 to 7 days. At 4 weeks after replantation, the viability of the degloving skin grafts was assessed, including color, elasticity, and sensation of pain. The Vancouver Scar Scale (VSS) was used to assess the scars of the skin grafts during follow-up. RESULTS: At 4 weeks after replantation, 8 cases of skin grafts completely survived and the color was similar with normal skin, with a survival rate of 66.67%. The elasticity of skin grafts (R0 value) ranged from 0.09 to 0.85, with an average of 0.55; moderate pain was reported in 4 cases, mild pain in 3 cases, and no pain in 5 cases. All patients were followed up 12 months. Over time, the VSS scores of all 12 patients gradually decreased, with a range of 4-11 at 12 months (mean, 6.8). CONCLUSION For limb degloving injuries that cannot be replanted immediately and do not have the conditions for deep low-temperature freezing preservation, the method of preserving the degloving skin at 4℃ for delayed replantation can be chosen.
Humans ; Male ; Adult ; Replantation/methods* ; Female ; Degloving Injuries/surgery* ; Middle Aged ; Skin Transplantation/methods* ; Treatment Outcome ; Extremities/injuries* ; Time Factors ; Skin/injuries* ; Tissue Preservation/methods*

Objective:To explore the trajectories of breastfeeding social support and postpartum depression from childbirth through 6 months postpartum in postpartum women.Methods:A longitudinal survey method was adopted. Using convenience sampling method, postpartum women who were hospitalized and delivered in the First Affiliated Hospital of University of Science and Technology of China from June to July 2023 were selected. The Hughes Breastfeeding Support Scale (HBSS) and Edinburgh Postpartum Depression Scale (EPDS) were used to collect data at three times including departure (T1), 42 days postpartum (T2), and 6 months postpartum (T3). Repeated analysis of variance was used to explore the trajectories of breastfeeding social support and postpartum depression at different times, and LSD test was used for pairwise comparison. Pearson correlation analysis was used to analyze the relationship between the HBSS and EPDS.Results:Finally, 435 postpartum women completed the survey. There were 171 cases aged 20-29 years old, 237 cases aged 30-39 years old, and 27 cases aged ≥ 40 years old.The rate of exclusive breastfeeding for 6 months after delivery was 41.1%(179/435). The total score of HBSS in parturients was at a high level at T1, with a score of (84.08 ± 14.14) points, but at T2 and T3, it was at a moderate level with scores of (77.45 ± 15.29), (78.42 ± 15.97) points, respectively, and the difference was statistically significant at different time points ( F=36.59, P<0.01). The total score of EPDS in parturients at T1, T2, and T3, were (8.53 ± 4.81), (8.29 ± 5.52), (7.71 ± 5.02) points, respectively, and the difference was statistically significant at different time points ( F=6.44, P<0.01). The scores of HBSS were negatively correlated with the scores of EPDS at three times ( r=-0.345, -0.458, -0.578, all P<0.01). Conclusions:The level of breastfeeding social support and postpartum depression showed a dynamic change trend, and these two variables were negatively related. Nursing staff should strengthen the construction of social support network for breastfeeding, and implement personalized intervention measures according to the psychological characteristics of postpartum women in different stages to improve the current situation of breastfeeding.

Objective To explore the effect of accelerated intermittent theta burst stimulation(aiTBS)on post-stroke depression(PSD).Methods From July,2021 to July,2023,48 PSD patients in Beijing Bo'ai Hospital were randomly assigned to control group(n=16),high-frequency repetitive transcranial magnetic stimulation(HF-rTMS)group(n=16)and aiTBS group(n=16).aiTBS group received left-sided aiTBS treatment at dorsolateral prefrontal cortex(DLPFC),HF-rTMS group received left-sided 10 Hz rTMS treatment at DLPFC,and the control group received left-sided sham stimulation treatment,for three weeks.They were evaluated with the Hamilton Depression Rating Scale(HAMD),Hamilton Anxiety Rating Scale(HAMA)and Beck Depression Inventory(BDI)before and after treat-ment,and one month of follow-up.Results One case dropped down in each group.The inter-group effect,intra-group effect and interaction effect of HAMD,HAMA and BDI scores were all significant(F>3.235,P<0.05).The post-hoc test results showed that the scores of HAMD,HMMA and BDI were lower in HF-rTMS group and aiTBS group than in the control group(P<0.05),and no significant difference was found between HF-rTMS group and aiTBS group(P>0.05).There was significant difference in the effective rate of depression improvement among three groups(χ2=7.834,P=0.019),the effective rate was higher in aiTBS group than in the control group(P<0.017),and no significant dif-ference was found between HF-rTMS group and aiTBS group(P>0.017).Conclusion aiTBS can improve the depression and anxiety symptoms of patients with PSD,with shorter treatment time,compared with HF-rTMS.

Objective:To develop a convolutional neural network model of whole slide imaging of cerebrospinal fluid cells for rapid and accurate identification and classification of tumor cells in cerebrospinal fluid.Methods:A total of 8 692 cerebrospinal fluid cytology smears from Huashan Hospital Affiliated to Fudan University from January 2nd, 2019, to December 27th, 2024. As randomly assigned, the training set included 4 941 benign and 1 745 malignant samples, while the validation set comprised of 1 368 benign and 638 malignant samples. Whole-slide digital images were acquired using a cytopathology scanner, cells (clusters) were annotated for classification, and a deep learning model was constructed via tiled image patches for cell detection and classification. Model performance was evaluated using accuracy, sensitivity, specificity, and other indicators. The classification efficiency of manual microscopy was compared.Results:The model achieved a mean precision of 96.75% for cerebrospinal fluid cell classification. For malignant tumor cells, the classification accuracy was 96.61% (mAP=98.36%, AUC=0.97). Subtype classification accuracies for epithelial/epithelioid tumors and small round cell tumors were 97.13% (AUC=0.98) and 95.58% (AUC=0.93), respectively. Compared with manual microscopy, which took (9.70±0.82) minutes for classifying 200 cells, (18.27±1.21) minutes for 500 cells, and often exceeded 60 minutes or infeasible for full slides, the AI model took (3.46±0.49) seconds for 200 cells, (6.76±0.82) seconds for 500 cells, and a median of 48.57 seconds for full slides ( P<0.001), representing an efficiency improvement of approximately 161-170 times, significantly enhancing diagnostic efficiency. Conclusion:This fully automated hierarchical deep learning model enables efficient and accurate tumor cell identification and classification in CSF, providing an effective auxiliary tool for the rapid diagnosis of meningeal carcinomatosis.