Age-related macular degeneration(ARMD)is a progressive visual impairment fundus disease that frequently occurs in individuals aged >55 years. The main risk factors are aging, long-term smoking, genetics, and racial differences. Pathogenesis includes abnormal function of the retinal pigment epithelium, damaged blood-retinal barrier, and abnormal immune function. Currently, intravitreal injection(IVI)of anti-vascular endothelial growth factor(VEGF)drugs is the preferred treatment option for ARMD in clinical practice. However, it also faces challenges such as repeated treatments, high medical costs, and poor patient compliance. The predicament in the treatment of ARMD has given rise to several new treatment options. This article aims to review the treatment methods and progress of dry ARMD and wet ARMD, providing new ideas for addressing the limitations of the current clinical anti-VEGF treatment.

Banxia Xiexin Decoction has the effect of harmonizing the spleen and stomach,and regulating cold and heat.It is mainly used for the treatment of epigastric fullness of mixed cold and heat in the heart,and has certain advantages in relieving symptoms,reducing recurrence rates,and ensuring safety.This article reviewed the clinical application of Banxia Xiexin Decoction from the perspectives of digestive system diseases,neurological diseases,gastrointestinal tumors,respiratory system diseases,endocrine diseases,dermatological diseases,gynecological diseases,and other diseases.It also summarized the mechanism of Banxia Xiexin Decoction from the aspects of protection of gastrointestinal mucosa,anti-inflammatory and bactericidal effects,immune regulation,regulation of neurotransmitters,anti-tumor effects,blood glucose lowering,and improvement of insulin resistance,providing reference for the in-depth research and application of Banxia Xiexin Decoction.

OBJECTIVE To observe the distribution of pathogens isolated from the endoscopic submucosal dissection(ESD)patients with postoperative pulmonary infections and explore the values of serum C-reactive protein(CRP),interleukin-6(IL-6)and procalcitonin(PCT)in prediction of the pulmonary infection.METHODS A total of 246 patients who received ESD in the First Affiliated Hospital of Wenzhou Medical University from Dec.2022 to Dec.2023 were recruited as the research subjects and were divided into the infection group with 50 cases and the non-infection group with 196 cases according to the status of postoperative pulmonary infection.The sputum speci-mens were collected from the patients of the infection group,the isolated pathogens were identified.The risk fac-tors for the postoperative pulmonary infection in the ESD patients were analyzed.The levels of serum CRP,IL-6 and PCT were compared between the infection group and the non-infection group.The values of the indexes in pre-diction of the postoperative pulmonary infection in the ESD patients were observed.RESULTS Totally 67 strains of pathogens were isolated from the 50 patients with infection,21(31.34％)of which were gram-positive bacteria,37(55.22％)were gram-negative bacteria,and 9(13.43％)were fungi.The no less than 60 years of age(OR=4.785),complication with diabetes mellitus(OR=20.627),operation duration no less than 60 min(OR=19.643)and bedridden time no less than1 week(OR=38.641)were the risk factors for the postoperative pulmonary infec-tion in the ESD patients(P＜0.05).There were significant differences in the levels of serum CRP,IL-6 and PCT between the infection group and the non-infection group(P＜0.05).The sensitivity of the joint detection of serum CRP,IL-6 and PCT was 96.00％in prediction of the postoperative pulmonary infection in the ESD patients,with the specificity 83.67％,the AUC value 0.898,which were superior to the single detection of CRP,IL-6 and PCT(P＜0.05).CONCLUSIONS The ESD patients are at high risk of postoperative pulmonary infection.The gram-negative bacteria are dominant among the pathogens.There are a variety of influencing factors for the postopera-tive pulmonary infection in the ESD patients.The CRP,IL-6 and PCT have certain values in prediction of the postoperative pulmonary infection in the ESD patients.

Objective:To systematically evaluate predictive models for stress urinary incontinence (SUI) in pregnant and postpartum women, providing a reference for model development, application, and promotion.Methods:A comprehensive literature search was conducted in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine disc for studies on SUI predictive models in pregnant and postpartum women. The search period was from database inception to September 30, 2024. Two researchers independently screened the literature and extracted data according to inclusion and exclusion criteria. The risk of bias in the predictive models was assessed using the prediction model risk of bias assessment tool.Results:A total of 23 studies were included, covering 31 predictive models for SUI, with a combined sample size of 14 473 women. Among them, six models focused on predicting SUI in pregnant women, while 25 models were developed for postpartum SUI. The predictive factors identified in these models were categorized into nine groups, including: general information for pregnant and postpartum women, delivery data, neonatal data, past history, abortion history, lifestyle data, pelvic floor muscle screening results, 2D and 3D ultrasound data, and serological indicators. Among these, age, mode of delivery, parity, body mass index, history of SUI, and neonatal weight were widely recognized as key predictive factors. External validation was performed in five studies. Five studies showed good applicability and low bias risk, except for one study that had limitations in both bias risk and applicability, and the remaining studies exhibited a high risk of bias but demonstrated good applicability.Conclusions:The methodological quality of SUI predictive models for pregnant and postpartum women needs further improvement. External validation remains insufficient. Future model development should be based on large-sample, prospective studies, incorporating appropriate predictive factors and stratifying SUI risk in different populations to enhance clinical applicability.

Objective:To search, evaluate, and summarize evidence regarding strategies to promote pelvic floor muscle contraction (PFMC) function in postpartum women, providing a basis for clinical practice.Methods:A comprehensive search was conducted in computer decision support systems, guideline websites, relevant professional association websites, and English and Chinese databases for evidence related to strategies to promote PFMC function in postpartum women. The sources included guidelines, expert consensus, evidence summaries, systematic reviews, and original studies, with the search period from June 2014 to January 2025. Two researchers independently assessed the quality of the included articles and extracted data for the evidence summary.Results:A total of 24 articles were included: nine guidelines, five expert consensus, three evidence summaries, two systematic reviews, and five original studies. The evidence was summarized across four domains: screening and assessment, team building, intervention strategies, and outcome evaluation, resulting in 25 key pieces of evidence.Conclusions:This study summarizes the best evidence for strategies to promote PFMC function in postpartum women, providing scientific and rigorous evidence for clinical practice. It supports the development of effective training programs to enhance postpartum women's quality of life.

Objective:To optimize the smart follow-up workflow for day-case breast surgery patients using an action research approach and evaluate its effectiveness.Methods:A total of 648 post-discharge patients who underwent day-case breast surgery at the Day Surgery Unit of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences between February and May 2024 were selected by convenience sampling. Patients who received routine smart follow-up (automated+telephone) from February to March 2024 served as the baseline group. Patients enrolled in April 2024 ( n=218) and May 2024 ( n=202) formed the first and second cycle groups, respectively, in which the smart follow-up workflow was optimized iteratively using action research. Outcome indicators included automated recovery rate and total recovery rate of follow-up forms, as well as the incidence of postoperative discomfort symptoms. Results:The automated and total recovery rates of follow-up forms in the first and second cycle groups were significantly higher than those in the baseline group, with statistically significant differences observed ( P<0.01). The proportion of patients experiencing persistent chest distress was significantly lower in the first and second cycle groups compared to the baseline group, and further reduced in the second cycle group compared to the first, with statistically significant differences observed ( P<0.01). Pain levels in the first and second cycle groups were also significantly lower than those in the baseline group, with statistically significant differences observed ( P<0.01) . Conclusions:Optimizing the smart follow-up workflow for day-case breast surgery patients based on an action research approach can significantly improve the automated and overall recovery rates of follow-up forms, reduce postoperative discomfort, and enhance both the efficiency and quality of follow-up care.

Objective:To systematically evaluate predictive models for stress urinary incontinence (SUI) in pregnant and postpartum women, providing a reference for model development, application, and promotion.Methods:A comprehensive literature search was conducted in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine disc for studies on SUI predictive models in pregnant and postpartum women. The search period was from database inception to September 30, 2024. Two researchers independently screened the literature and extracted data according to inclusion and exclusion criteria. The risk of bias in the predictive models was assessed using the prediction model risk of bias assessment tool.Results:A total of 23 studies were included, covering 31 predictive models for SUI, with a combined sample size of 14 473 women. Among them, six models focused on predicting SUI in pregnant women, while 25 models were developed for postpartum SUI. The predictive factors identified in these models were categorized into nine groups, including: general information for pregnant and postpartum women, delivery data, neonatal data, past history, abortion history, lifestyle data, pelvic floor muscle screening results, 2D and 3D ultrasound data, and serological indicators. Among these, age, mode of delivery, parity, body mass index, history of SUI, and neonatal weight were widely recognized as key predictive factors. External validation was performed in five studies. Five studies showed good applicability and low bias risk, except for one study that had limitations in both bias risk and applicability, and the remaining studies exhibited a high risk of bias but demonstrated good applicability.Conclusions:The methodological quality of SUI predictive models for pregnant and postpartum women needs further improvement. External validation remains insufficient. Future model development should be based on large-sample, prospective studies, incorporating appropriate predictive factors and stratifying SUI risk in different populations to enhance clinical applicability.

Objective:To search, evaluate, and summarize evidence regarding strategies to promote pelvic floor muscle contraction (PFMC) function in postpartum women, providing a basis for clinical practice.Methods:A comprehensive search was conducted in computer decision support systems, guideline websites, relevant professional association websites, and English and Chinese databases for evidence related to strategies to promote PFMC function in postpartum women. The sources included guidelines, expert consensus, evidence summaries, systematic reviews, and original studies, with the search period from June 2014 to January 2025. Two researchers independently assessed the quality of the included articles and extracted data for the evidence summary.Results:A total of 24 articles were included: nine guidelines, five expert consensus, three evidence summaries, two systematic reviews, and five original studies. The evidence was summarized across four domains: screening and assessment, team building, intervention strategies, and outcome evaluation, resulting in 25 key pieces of evidence.Conclusions:This study summarizes the best evidence for strategies to promote PFMC function in postpartum women, providing scientific and rigorous evidence for clinical practice. It supports the development of effective training programs to enhance postpartum women's quality of life.

Objective:To optimize the smart follow-up workflow for day-case breast surgery patients using an action research approach and evaluate its effectiveness.Methods:A total of 648 post-discharge patients who underwent day-case breast surgery at the Day Surgery Unit of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences between February and May 2024 were selected by convenience sampling. Patients who received routine smart follow-up (automated+telephone) from February to March 2024 served as the baseline group. Patients enrolled in April 2024 ( n=218) and May 2024 ( n=202) formed the first and second cycle groups, respectively, in which the smart follow-up workflow was optimized iteratively using action research. Outcome indicators included automated recovery rate and total recovery rate of follow-up forms, as well as the incidence of postoperative discomfort symptoms. Results:The automated and total recovery rates of follow-up forms in the first and second cycle groups were significantly higher than those in the baseline group, with statistically significant differences observed ( P<0.01). The proportion of patients experiencing persistent chest distress was significantly lower in the first and second cycle groups compared to the baseline group, and further reduced in the second cycle group compared to the first, with statistically significant differences observed ( P<0.01). Pain levels in the first and second cycle groups were also significantly lower than those in the baseline group, with statistically significant differences observed ( P<0.01) . Conclusions:Optimizing the smart follow-up workflow for day-case breast surgery patients based on an action research approach can significantly improve the automated and overall recovery rates of follow-up forms, reduce postoperative discomfort, and enhance both the efficiency and quality of follow-up care.

Objective To explore the action targets and related mechanisms of pogostemon cablin in the treatment of glioma based on network pharmacology and cellular experiments.Methods The active ingredi-ents and action targets of pogostemon cablin were collected by using databases such as the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and the Traditional Chinese Med-icine Comprehensive Database(TCMID).The relevant targets of glioma were collected through databases such as Gene Cards and OMIM,and the network diagrams of"drug-target"and"disease-target"were estab-lished by using Cytoscape3.7.1 software.The intersection targets of pogostemon cablin for treating glioma were obtained and STRING database was used to analyzed,and their protein-protein interaction(PPI)net-work diagram was established.Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis on key targets were performed by using the DAVID database.In vitro cell experiments on key signaling pathways were conducted,U87 glioma cells were collected and divided into the control group(added to basic culture medium)and the 60,90,120 μg/mL pog-ostemon cablin groups(added to culture medium containing 60,90,and 120 μg/mL pogostemon cablin,respec-tively).CCK-8 assay and wound healing assay were used to detect the proliferation and migration ability of each group of cells,and the protein expression levels of mitogen activated protein kinase 1(MAPK1),recom-binant V-rel reticuloendotheliosis viral oncogene homolog A(RELA)phosphatidylinositol 3-kinase(PI3K),protein kinase B(Akt),phosphorylated-PI3K(p-PI3K),and phosphorylated-Akt(p-Akt)in each group of cells were detected by Western blot.Results A total of 94 main chemical constituents of pogostemon cablin were obtained.According to the screening conditions,9 effective active ingredients,239 drug target proteins,4 526 glioma related genes and 121 drug and disease common targets were identified.Protein interaction net-works discovered that Akt1,c-Jun N-terminal kinase(JUN),MAPK1,RELA,interleukin(IL)-6 and epider-mal growth factor receptor(EGFR)may be the key targets of pogostemon cablin in the treatment of glioma.GO function enrichment analysis identified 1 819 items in biological processes,109 items of cellular compo-nents and 216 items of molecular functions,which involved various aspects such as the positive regulation of the cellular metabolic process,the activity of protein homodimers,kinase activation,and membrane rafts.KEGG pathway enrichment analysis identified 181 related signaling pathways,involving anti-cancer,inflamma-tion,cell apoptosis,endocrine,immune regulation and so on,mainly including the PI3K/Akt pathway,ad-vanced glycation advanced glycation end products(AGE)/recepter for advanced glycation end products(RAGE)pathway,IL-6 pathway,and HIF-1 pathway,TNF pathway and so on.The in vitro experimental re-sults showed that compared with the control group,with the increase of the dose of the alcohol extract of pog-ostemon cablin,the cell activity decreased,the cell migration ability decreased,and the expression levels of MAPK1,RELA,p-PI3K and p-Akt proteins decreased(P＜0.05).Conclusion Pogostemon cablin can syner-gistically inhibit the development of glioma through multiple targets and pathways,and can suppress cell pro-liferation of U87 cells through the PI3K/Akt pathway.