Objective:To investigate the effect of traditional Chinese medicine chronic disease management model based on empowerment theory in patients with chronic heart failure(CHF).Methods:A total of 115 CHF patients admitted in Guangdong Provincial Hospital of Chinese Medicine between January 2020 and December 2021 were se-lected.Patients received traditional Chinese medicine chronic disease management model based on empowerment theory according to voluntary principle,and were followed up for 12 months.Exercise capacity,scores of Tradition-al Chinese Medicine Symptom Grading and Quantification Scale,Hospital Anxiety and Depression Scale(HADS)and Minnesota Living with Heart Failure Questionnaire(MLHFQ)were compared between before and after inter-vention.Results:Compared to before intervention,scores of Traditional Chinese Medicine Symptom Grading and Quantification Scale[(6.40±6.11)points vs.(8.88±6.72)points],HADS[(5.95±4.68)points vs.(7.69±5.95)points],MLHFQ[(13.10±10.54)points vs.(25.53±11.16)points]and 3m round-trip movement time[(7.54±1.70)s vs.(8.86±3.65)s]were significantly lower,and right hand grip strength[(27.23±10.49)kg vs.(26.10±9.94)kg]and 6-minute walking distance[(464.79±80.78)m vs.(415.55±79.33)m]were sig-nificantly higher after 12-month intervention(P＜0.05 or＜0.01).Conclusion:The traditional Chinese medicine chronic disease management model based on empowerment theory may improve clinical symptoms of traditional Chi-nese medicine,mental state,exercise capacity and quality of life in patients with chronic heart failure.

Objective:To plot Kaplan-Meier curves using simulated survival data and compare the characteristics of different survival probability extraction methods for Kaplan-Meier curves and their performance across various scenarios.Methods:Survival datasets were simulated using R-4.4.2 with parameters including sample sizes,censoring marker,and curve numbers.GetData Graph Digitizer,IPDfromKM getpoints,SurvdigitizeR survival_digitize were evaluated.A JavaScript script was developed to extract Kaplan-Meier curve.Root Mean Square Error(RMSE)was calculated to quantify deviations between digitized and true survival probabilities.Results:The JavaScript script method demonstrated the smallest RMSE across all simulated scenarios(RMSE=1.015×10-4),significantly outperforming the other three methods(P＜0.05),with statistically significant differences observed among methods(P＜0.05).Conclusion:For vector format illustrations,JavaScript scripts enable accurate and robust reverse engineering of Kaplan-Meier curves;for bitmaps,the GetData Graph Digitizer and SurvdigitizeR survival_digitize methods yield more accurate results,and the SurvdigitizeR survival_digitize method is the most efficient.Future research should focus on integrating intelligent algorithms for enhanced robustness and precision in survival data reconstruction.

Objective:A model for predicting sentinel lymph node metastasis was established based on positron emission tomography(PET)-related metabolic parameters and clinicopathological characteristics.Methods:A retro-spective analysis was conducted on 211 patients diagnosed with breast cancer through surgical pathology from January 2016 to March 2023 in Meizhou People's Hospital,who underwent whole-body PET/CT examinations prior to surgery.Clinical,pathological,and PET-related metabolic parameters were collected.The study analyzed the association be-tween clinicopathological characteristics of the primary breast cancer lesion,PET metabolic parameters,and sentinel lymph node metastasis.A logistic regression predictive model was constructed using Broussonetia papyrifera.Results:Breast cancer primary lesion PET-suspicious axillary lymph nodes,vascular tumor thrombus,estrogen receptor(ER),and progesterone receptor(PR)showed statistically significant differences between the two groups(all P<0.05),while maxi-mum tumor diameter,SUVmax tumor location,maximum standardized uptake value(SUVmax),metabolic tumor volume(MTV),total lesion glycolysis(TLG),tumor location,number of lesions,pathological type,histological grade,neural inva-sion,Homo sapiens epidermal growth factor receptor 2(HER-2),and nuclear-associated antigen Ki-67(Ki-67)showed no statistically significant differences between the two groups(all P>0.05).Parameters with P<0.05 in the univariate analysis were subjected to multivariate logistic regression analysis,and the logistic regression model was established as Logit(P)=-0.437×vascular tumor thrombus+4.685×suspicious axillary lymph node metastasis.The predictive model AUC was 0.738(P<0.001,95%CI:0.664～0.812),with sensitivity and specificity of 63.4%and 74.4%,respectively.Con-clusion:PET findings of the primary breast cancer lesion regarding suspicious axillary lymph node metastasis,vascular tumor thrombus,ER and PR are associated with sentinel lymph node metastasis.The predictive model established based on PET-detected suspicious axillary lymph node metastasis and vascular tumor thrombus in primary breast cancer lesions has certain value in predicting sentinel lymph node metastasis,potentially providing a non-invasive examination modality for clinical practice.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Objective To observe the predictive factors of poor prognosis in patients with acute basilar artery occlusion(BAO)who got first-pass effect(FPE)after mechanical thrombectomy(MT).Methods Eighty-two acute BAO patients who got FPE following MT were retrospectively collected and divided into good prognosis group(modified Rankin scale[mRS]score≤3,n=48)and poor prognosis group(mRS score＞3,n=34)90 days after treatments.The data were compared between groups,and variables which showed P＜0.1 were included in multivariate logistic regression analysis to identify independent predictors of poor prognosis in acute BAO patients who got FPE after MT.Results Higher age of patients,pre-treatment National Institute Health stroke scale(NIHSS)and neutrophil-to-lymphocyte ratio(NLR),also higher proportions of patients with diabetes mellitus,atrial fibrillation(AF)and cardioembolic stroke in trial of org 10 172 in acute stroke treatment(TOAST)classification were found in poor prognosis group than those in good prognosis group(all P＜0.05).Conversely,patients in poor prognosis group had lower pre-treatment Glasgow coma scale(GCS)scores,lower posterior circulation-Alberta stroke program early CT score(pc-ASPECTS)and basilar artery on CT angiography(BATMAN)scores(all P＜0.05).Multivariate logistic regression analysis revealed patients complicated with AF(OR[95%CI]=29.769[1.470,602.943])and elevated pre-treatment NLR(OR[95%CI]=1.212[1.016,1.446])had relatively poor prognosis(both P＜0.05),whereas those with increased pre-treatment GCS score(OR[95%CI]=0.615[0.429,0.882]),elevated pc-ASPECTS(OR[95%CI]=0.263[0.092,0.748])and higher BATMAN score(OR[95%CI]=0.260[0.085,0.796])had relatively better prognosis(all P＜0.05).Conclusion Complicated with AF,low pre-treatment GCS score,high NLR,low pc-ASPECTS and low BATMAN score were all predictive factors for poor prognosis in acute BAO patients who got FPE after MT.

Objective:To plot Kaplan-Meier curves using simulated survival data and compare the characteristics of different survival probability extraction methods for Kaplan-Meier curves and their performance across various scenarios.Methods:Survival datasets were simulated using R-4.4.2 with parameters including sample sizes,censoring marker,and curve numbers.GetData Graph Digitizer,IPDfromKM getpoints,SurvdigitizeR survival_digitize were evaluated.A JavaScript script was developed to extract Kaplan-Meier curve.Root Mean Square Error(RMSE)was calculated to quantify deviations between digitized and true survival probabilities.Results:The JavaScript script method demonstrated the smallest RMSE across all simulated scenarios(RMSE=1.015×10-4),significantly outperforming the other three methods(P＜0.05),with statistically significant differences observed among methods(P＜0.05).Conclusion:For vector format illustrations,JavaScript scripts enable accurate and robust reverse engineering of Kaplan-Meier curves;for bitmaps,the GetData Graph Digitizer and SurvdigitizeR survival_digitize methods yield more accurate results,and the SurvdigitizeR survival_digitize method is the most efficient.Future research should focus on integrating intelligent algorithms for enhanced robustness and precision in survival data reconstruction.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Mitochondrial dynamics refer to two modes of move-ment:mitochondrial fission and mitochondrial fusion.Stimula-tion from internal and external sources promotes the occurrence of mitochondrial dynamic changes,supporting cellular functional changes to adapt to physiological and pathological changes.This article systematically reviews relevant literature,providing an o-verview of the dynamic changes in mitochondrial fission/fusion from both physiological and pathological perspectives.It summa-rizes the essence of these changes by highlighting functional al-terations,including ion homeostasis,redox balance,energy me-tabolism,and programmed death signaling,and reveals the un-derlying mechanisms of action.Additionally,by focusing on key cellular components in allergic diseases,it discusses the impact of functional alterations in mitochondrial dynamic division/fusion on allergic diseases.Progressively examining the concept,func-tional alterations,and impact on allergic diseases,this study es-tablishes a connection between mitochondrial fission/fusion dy-namics and key cellular components of allergic diseases.It con-structs a networked map that outlines how these dynamics modu-late the progression of allergic diseases through diverse cellular components,aiming to guide mechanistic studies and systematic treatments for these diseases.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.