Objective:To translate the Clinical Leadership Needs Analysis Instrument (CLeeNA) into Chinese and to test its reliability and validity.Methods:The source scale was translated based on the Beaton translation model, and cultural debugging was completed through expert consultation and pre-surveys to form the Chinese version of CLeeNA. Convenience sampling was used to select 536 nurses from three Class Ⅲ Grade A hospitals in Anhui Province from August to December 2023 to conduct the survey and to verify the reliability and validity of the scale. A total of 536 questionnaires were distributed and 495 valid questionnaires were recovered, with an effective recovery rate of 92.351% (495/536) .Results:The Chinese version of CLeeNA contained 43 entries in 7 dimensions of self and team development, staff and care delivery, technology and care initiatives, financial and service management, leadership and clinical practice, patient safety and risk management, and standards of care. The content validity index at the item level ranged from 0.800 to 1.000, and the content validity index at the scale level was 0.953. Exploratory factor analysis extracted 7 common factors with a cumulative variance contribution rate of 82.098%. Confirmatory factor analysis showed that the model fit was acceptable. The total Cronbach's ɑ coefficient for the scale was 0.958, the folding coefficient was 0.898, and the retest reliability coefficient was 0.928.Conclusions:The Chinese version of CLeeNA has good reliability and validity, and can be used for measuring the clinical leadership needs of nurses.

Objective To investigate the predictive value of pan-immune-inflammation value(PIV),blood urea nitrogen to albumin ratio(BAR),collateral circulation and National Institutes of Health stroke scale(NIHSS)score for disease progression and short-term prognosis in patients with acute perforating artery cerebral infarction(APACI).Methods Patients with APACI admitted to the Neurology Department of Anhui NO.2 Provincial People's Hospital from January 2019 to October 2024 were retrospectively enrolled in this study.General and clinical data,including age,gender,previous history(hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,drinking history,NIHSS scores at admission were collected.Fasting venous blood samples were collected from the patients within 24 h after admission to detect levels of neutrophils,lymphocytes,monocytes,platelets,blood urea nitrogen,and serum albumin.PIV(PIV=neutrophils × platelets × monocytes/lymphocytes)and BAR were calculated.The location of lesions and Fazekas classification of white matter lesions were evaluated using head MRI and MR angiography at admission.Collateral circulation status was assessed based on CT angiography upon admission.Disease progression was defined through comparing the NIHSS score at 72-hour after admission to the score at admission(an increase of 2 or more points in NIHSS score indicating disease progression).The patients were divided into a progression group and a non-progression group based on the increase in NIHSS score,as aforementioned.Patients follow-up was conducted through phone call or outpatient visits at 90 d after discharge.The modified Rankin scale(mRS)was used to evaluate the prognosis,with a mRS score of 0-2 indicates good prognosis,and a 3-6 indicates poor prognosis.Factors with statistically significant differences in univariate analysis were included in a multivariate Logistic regression analysis to explore the influencing factors of disease progression and poor prognosis in patients with APACI.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each indicator for disease progression and poor prognosis in patients with APACI.Results A total of 165 patients with APACI were enrolled in this study,including 121 males and 44 females,aged 27-86 years,with an average of(61±11)years.Among all patients enrolled,56 patients were included in the progression group and 109 patients in the non-progression group,124 patients showed good prognosis and 41 patients had poor prognosis.No statistically significant differences were found in age,gender,smoking history,drinking history,hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and Fazekas classification of white matter lesions between the progression group and the non-progression group(all P＞0.05).While the NIHSS score at admission,proportion of poor collateral circulation,PIV and BAR in the progression group were significantly higher than those in the non-progression group(all P＜0.05).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.177,95％CI 1.001-1.384,P=0.049),poor collateral circulation(OR,3.107,95％CI 1.216-7.939,P=0.018),high PIV(OR,1.006,95％CI 1.003-1.009,P=0.001),and high BAR(OR,1.610 × 109,95％CI 5.769 × 104-4.494 × 1013,P＜0.01)were independent risk factors of disease progression in patients with APACI.ROC curve analysis results showed that the area under the curve(AUC)of combination of PIV,BAR,collateral circulation and NIHSS score at admission for predicting disease progression in patients with APACI was 0.914(95％ CI0.861-0.952,P＜0.01),which was greater than that of each indicator(all P＜0.05).No statistically significant differences were found in smoking,drinking,hypertension,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and BAR between the poor prognosis and the good prognosis group(all P＞0.05).Compared with the good prognosis group,the poor prognosis group had significantly older age and higher proportion of patients with diabetes,NIHSS score at admission,proportion of patients with poor collateral circulation,and PIV(all P＜0.05).Moreover,the proportion of men in the poor prognosis group was lower than that in the good prognosis group(P=0.039).There was a statistically significant difference between the good prognosis group and the poor prognosis group in the Fazekas classification of white matter lesions(P＜0.01).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.345,95％CI 1.081-1.674,P=0.008),poor collateral circulation(OR,3.903,95％CI 1.061-14.355,P=0.040),and high PIV(OR,1.011,95％CI 1.005-1.017,P＜0.01)were independent risk factors of poor prognosis in patients with APACI.The AUC for predicting poor prognosis in patients with APACI through combining PIV,collateral circulation and NIHSS score at admission was 0.911(95％CI 0.857-0.950,P＜0.01),which is greater than using poor collateral circulation or NIHSS score at admission alone(both P＜0.05).However,there was no statistically significant difference in AUC between the PIV,collateral circulation and NIHSS score combined predictive model and the PIV(alone)predictive model(P＞0.05).Conclusions High PIV,high BAR,poor collateral circulation,and high NIHSS score at admission were independent risk factors of disease progression in patients with APACI.Combination of these four indices demonstrates relatively high predictive value for disease progression.In addition,high PIV,poor collateral circulation,and high NIHSS score at admission are independent risk factors of poor prognosis in patients with APACI.Joint detection of the three indices may assist in short-term prognosis evaluation of patients with APACI.

Objective: To study the effects and potential mechanisms of the aquaporin 1(AQP1) inhibitor acetazolamide(AZ) on the proliferation, apoptosis, and inflammatory response of rheumatoid arthritis(RA) fibroblast-like synoviocytes(FLS). Methods: TNF-α-induced RA-FLS was served as in vitro RA model. MTT assay, IF staining, and EdU incorporation assay were applied to study AZ′s effects on RA-FLS proliferation. Hoechst staining, flow cytometry analysis of Annexin V-FITC/PI-stained cells, and mitochondrial membrane potential detection experiments were used to detect cell apoptosis. ELISA and quantitative real-time PCR methods were used to measure pro-inflammatory cytokine production. Cell autophagy was evaluated using IF staining and mCherry-GFP-LC3B puncta assay. Western blot was performed to detect the levels of autophagy, apoptosis, and proliferation-related proteins. Moreover, the role of autophagy inhibition in AZ′s effects on RA-FLS was examined by co-treating with the autophagy activator rapamycin(RAPA) or the autophagy inhibitor 3-methyladenine(3-MA). Results: AZ dose⁃dependently inhibited cell proliferation , promoted apoptosis , and reduced the production of pro⁃inflammatory cytokines in RA⁃FLS. Furthermore , AZ suppressed cytoprotective autophagy in these cells , as evidenced by decreased LC3B levels ( P < 0. 05 ) , increased p62 expression ( P < 0. 05 ) , and reduced autophagic flux ( P <0. 01) . Particularly , AZ ′s beneficial effects were reversed by RAPA⁃induced autophagy activation and enhanced by 3 ⁃MA⁃induced autophagy inhibition. Conclusion This study provides the first evidence that AZ hinders cytoprotective autophagy , thereby alleviating the hyperproliferation , apoptosis resistance , and aberrant inflammatory response of RA⁃FLS , revealing the core role of autophagy inhibition in AZ ′s anti⁃RA effects.

Traditional Chinese medicine (TCM) serves as a treasure trove of ancient knowledge, holding a crucial position in the medical field. However, the exploration of TCM's extensive information has been hindered by challenges related to data standardization, completeness, and accuracy, primarily due to the decentralized distribution of TCM resources. To address these issues, we developed a platform for TCM knowledge discovery (TCMKD, https://cbcb.cdutcm.edu.cn/TCMKD/). Seven types of data, including syndromes, formulas, Chinese patent drugs (CPDs), Chinese medicinal materials (CMMs), ingredients, targets, and diseases, were manually proofread and consolidated within TCMKD. To strengthen the integration of TCM with modern medicine, TCMKD employs analytical methods such as TCM data mining, enrichment analysis, and network localization and separation. These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights. In addition to its analytical capabilities, a quick question and answer (Q&A) system is also embedded within TCMKD to query the database efficiently, thereby improving the interactivity of the platform. The platform also provides a TCM text annotation tool, offering a simple and efficient method for TCM text mining. Overall, TCMKD not only has the potential to become a pivotal repository for TCM, delving into the pharmacological foundations of TCM treatments, but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems, extending beyond just TCM.

Objective:To explore the value of neutrophil extracellular traps (NETs) and interleukin (IL)-33 in the early diagnosis of contrast-induced acute kidney injury (CIAKI).Methods:It was a prospective cohort study. The clinical data of patients who underwent coronary angiography (CAG) in Sir Run Run Hospital, Nanjing Medical University from December 2022 to December 2023 were collected. The main indicators of NETs included myeloperoxidase (MPO), neutrophil elastase (NE), citrullinated histone H3 (H3Cit) and antimicrobial peptide LL-37 amide (LL-37). Serum samples were collected before CAG, and 2 hours and 12 hours after CAG, and the levels of MPO, NE, H3Cit, LL-37, IL-33 and neutrophil gelatinase-associated lipocalin (NGAL) were detected. The differences of clinical data between CIAKI group and non-CIAKI group were compared. Multivariate logistic regression model was applied to analyze the risk factors of CIAKI. The receiver- operating characteristic curve was used to evaluate the predictive performance of biomarkers. Spearman correlation analysis was used to analyze the correlations among those biomarkers.Results:A total of 280 eligible patients with CAG were included in this study, with age of (65±13) years and 203 males (72.5%). The incidence rate of CIAKI was 11.8% (33/280). Compared with non-CIAKI group, the proportions of diabetes ( χ2=5.302, P=0.021), preoperative positive urine protein ( χ2=6.871, P=0.009), taking beta-blockers ( χ2=4.580, P=0.032), diuretics ( χ2=21.987, P<0.001) and calcium channel blocker ( χ2=10.424, P=0.001), preoperative blood glucose ( Z=2.807, P=0.005), preoperative blood urea nitrogen ( Z=2.504, P=0.012), neutrophil at 24 hours after CAG ( Z=2.173, P=0.030), serum creatinine at 24 hours after CAG ( Z=4.000, P<0.001), and blood urea nitrogen at 24 hours after CAG ( Z=4.459, P<0.001) were higher, while the preoperative hemoglobin ( Z=-2.380, P=0.017) and serum albumin ( Z=-2.556, P=0.011) were lower in CIAKI group. Multivariate logistic regression analysis showed that increasing neutrophil at 24 hours after CAG ( OR=1.180，95% CI 1.037-1.341), diuretics ( OR=5.615，95% CI 2.294-13.745) and calcium channel blockers ( OR=3.141，95% CI 1.374-7.182) were independent influencing factors of CIAKI. There were statistically significant differences in the levels of serum NE, MPO, H3Cit, LL-37, NGAL and IL-33 among before CAG, 2 hours after CAG and 12 hours after CAG in the overall population, CIAKI group and non-CIAKI group (all P<0.05). In addition, the changes of IL-33 before CAG and 12 hours after CAG was positively correlated with the changes of MPO, NE, H3Cit, LL-37, NGAL, serum creatinine and blood urea nitrogen before CAG and 12 hours after CAG (all P<0.05). The levels of NE ( Z=3.435, P=0.001; Z=6.164， P<0.001), MPO ( Z=3.627, P<0.001; Z=4.729, P<0.001), H3Cit ( Z=5.174, P<0.001; Z=6.241, P<0.001), LL-37 ( Z=4.986, P<0.001; Z=6.346, P<0.001), NGAL ( Z=2.956, P=0.003; Z=4.263, P<0.001) and IL-33 ( Z=5.056, P<0.001; Z=6.240, P<0.001) in CIAKI group at 2 h and 12 h after CAG were significantly higher than those in non-CIAKI group. The receiver-operating characteristic curve indicated that the combined AUC of neutrophil 24 hours after CAG, diuretics and calcium channel blockers in predicting CIAKI was 0.791. NE ( AUC=0.701), MPO ( AUC=0.712), H3Cit ( AUC=0.777), LL-37 ( AUC=0.767) and IL-33 ( AUC=0.795) at 2 hours after CAG predicted CIAKI relatively well. NE ( AUC=0.865), MPO ( AUC=0.758), H3Cit ( AUC=0.834), LL-37 ( AUC=0.840) and IL-33 ( AUC=0.867) at 12 hours after CAG had better prediction effect for CIAKI. The AUC of NETs combined with IL-33 in predicting CIAKI at 2 hours and 12 hours after CAG was 0.874 and 0.956, respectively. Conclusions:CIAKI patients exhibit elevated levels of NETs and IL-33. Serum MPO, NE, H3Cit, LL-37 and IL-33 at 12 hours after CAG can predict the occurrence of CIAKI. The combination of NETs and IL-33 is more effective in predicting CIAKI.

Traditional Chinese medicine(TCM)serves as a treasure trove of ancient knowledge,holding a crucial position in the medical field.However,the exploration of TCM's extensive information has been hindered by challenges related to data standardization,completeness,and accuracy,primarily due to the decen-tralized distribution of TCM resources.To address these issues,we developed a platform for TCM knowledge discovery(TCMKD,https://cbcb.cdutcm.edu.cn/TCMKD/).Seven types of data,including syndromes,formulas,Chinese patent drugs(CPDs),Chinese medicinal materials(CMMs),ingredients,targets,and diseases,were manually proofread and consolidated within TCMKD.To strengthen the integration of TCM with modern medicine,TCMKD employs analytical methods such as TCM data mining,enrichment analysis,and network localization and separation.These tools help elucidate the molecular-level commonalities between TCM and contemporary scientific insights.In addition to its analytical capabilities,a quick question and answer(Q&A)system is also embedded within TCMKD to query the database efficiently,thereby improving the interactivity of the platform.The platform also provides a TCM text annotation tool,offering a simple and efficient method for TCM text mining.Overall,TCMKD not only has the potential to become a pivotal repository for TCM,delving into the pharmaco-logical foundations of TCM treatments,but its flexible embedded tools and algorithms can also be applied to the study of other traditional medical systems,extending beyond just TCM.

Objective To investigate the effects of downregulating microRNA(miR)-550a-5p on the proliferation,migration and invasion of non-small cell lung cancer(NSCLC)and to explore its mo-lecular mechanisms.Methods The miR-550a-5p inhibitor and its negative control(inhibitor NC),as well as small interfering RNA targeting scavenger receptor class A member 3(si-SCARA3)and its negative control(si-NC)were individually or co-transfected into A549 cells.These cells were desig-nated as inhibitor NC group,miR-550a-5p inhibitor group,miR-550a-5p inhibitor+si-NC(co-trans-fection)group and miR-550a-5p inhibitor+si-SCARA3(co-transfection)group.Cell proliferation was assessed by CCK-8 assay;colony formation ability was evaluated using a plate cloning method;cell migration and invasion were detected by scratch assay and Transwell chamber assay,respectively;levels of matrix metalloproteinase(MMP)-2 and MMP-9 in the supernatant of A549 cells were measured by enzyme-linked immunosorbent assay(ELISA);apoptosis levels were determined by Annexin V/PI double staining.Results Compared with adjacent normal tissues,the expression level of miR-550a-5p was increased,while SCARA3 mRNA expression was decreased in NSCLC tissues(P＜0.05).Dual-luciferase reporter assays confirmed that miR-550a-5p directly targeted SCARA3.Compared with the inhibitor NC group,cell proliferation rate,colony formation number,migration and invasion ability of the miR-550a-5p inhibitor group decreased,apoptosis rate increased(P＜0.05).Compared with the inhibitor NC group,the expression levels of MMP-2 and MMP-9 in cell supernatant of the miR-550a-5p inhibitor group were decreased,and the expression levels of SCARA3 protein were increased(P＜0.05).Compared with the miR-550a-5p inhibitor group or the miR-550a-5p inhibitor+si-NC group,cell proliferation rate,clonal colony formation number,migration and invasion ability of the miR-550a-5p inhibitor+si-SCARA3 group were increased,and apoptosis rate was decreased(P＜0.05).Compared with the miR-550a-5p inhibitor group or the miR-550a-5p inhibitor+si-NC group,the miR-550a-5p inhibitor+si-SCARA3 group showed in-creased expression levels of MMP-2 and MMP-9 in the cell supernatant and decreased SCARA3 pro-tein expression levels(P＜0.05).Conclusion Downregulation of miR-550a-5p inhibits the prolif-eration,migration and invasion of NSCLC cells,and promotes apoptosis,possibly through upregulat-ing SC AR A3 expression.

Objective To investigate the predictive value of pan-immune-inflammation value(PIV),blood urea nitrogen to albumin ratio(BAR),collateral circulation and National Institutes of Health stroke scale(NIHSS)score for disease progression and short-term prognosis in patients with acute perforating artery cerebral infarction(APACI).Methods Patients with APACI admitted to the Neurology Department of Anhui NO.2 Provincial People's Hospital from January 2019 to October 2024 were retrospectively enrolled in this study.General and clinical data,including age,gender,previous history(hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation),smoking history,drinking history,NIHSS scores at admission were collected.Fasting venous blood samples were collected from the patients within 24 h after admission to detect levels of neutrophils,lymphocytes,monocytes,platelets,blood urea nitrogen,and serum albumin.PIV(PIV=neutrophils × platelets × monocytes/lymphocytes)and BAR were calculated.The location of lesions and Fazekas classification of white matter lesions were evaluated using head MRI and MR angiography at admission.Collateral circulation status was assessed based on CT angiography upon admission.Disease progression was defined through comparing the NIHSS score at 72-hour after admission to the score at admission(an increase of 2 or more points in NIHSS score indicating disease progression).The patients were divided into a progression group and a non-progression group based on the increase in NIHSS score,as aforementioned.Patients follow-up was conducted through phone call or outpatient visits at 90 d after discharge.The modified Rankin scale(mRS)was used to evaluate the prognosis,with a mRS score of 0-2 indicates good prognosis,and a 3-6 indicates poor prognosis.Factors with statistically significant differences in univariate analysis were included in a multivariate Logistic regression analysis to explore the influencing factors of disease progression and poor prognosis in patients with APACI.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of each indicator for disease progression and poor prognosis in patients with APACI.Results A total of 165 patients with APACI were enrolled in this study,including 121 males and 44 females,aged 27-86 years,with an average of(61±11)years.Among all patients enrolled,56 patients were included in the progression group and 109 patients in the non-progression group,124 patients showed good prognosis and 41 patients had poor prognosis.No statistically significant differences were found in age,gender,smoking history,drinking history,hypertension,diabetes,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and Fazekas classification of white matter lesions between the progression group and the non-progression group(all P＞0.05).While the NIHSS score at admission,proportion of poor collateral circulation,PIV and BAR in the progression group were significantly higher than those in the non-progression group(all P＜0.05).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.177,95％CI 1.001-1.384,P=0.049),poor collateral circulation(OR,3.107,95％CI 1.216-7.939,P=0.018),high PIV(OR,1.006,95％CI 1.003-1.009,P=0.001),and high BAR(OR,1.610 × 109,95％CI 5.769 × 104-4.494 × 1013,P＜0.01)were independent risk factors of disease progression in patients with APACI.ROC curve analysis results showed that the area under the curve(AUC)of combination of PIV,BAR,collateral circulation and NIHSS score at admission for predicting disease progression in patients with APACI was 0.914(95％ CI0.861-0.952,P＜0.01),which was greater than that of each indicator(all P＜0.05).No statistically significant differences were found in smoking,drinking,hypertension,hyperlipidemia,coronary heart disease,atrial fibrillation,lesion location,and BAR between the poor prognosis and the good prognosis group(all P＞0.05).Compared with the good prognosis group,the poor prognosis group had significantly older age and higher proportion of patients with diabetes,NIHSS score at admission,proportion of patients with poor collateral circulation,and PIV(all P＜0.05).Moreover,the proportion of men in the poor prognosis group was lower than that in the good prognosis group(P=0.039).There was a statistically significant difference between the good prognosis group and the poor prognosis group in the Fazekas classification of white matter lesions(P＜0.01).Multivariate Logistic regression analysis showed that high NIHSS score at admission(OR,1.345,95％CI 1.081-1.674,P=0.008),poor collateral circulation(OR,3.903,95％CI 1.061-14.355,P=0.040),and high PIV(OR,1.011,95％CI 1.005-1.017,P＜0.01)were independent risk factors of poor prognosis in patients with APACI.The AUC for predicting poor prognosis in patients with APACI through combining PIV,collateral circulation and NIHSS score at admission was 0.911(95％CI 0.857-0.950,P＜0.01),which is greater than using poor collateral circulation or NIHSS score at admission alone(both P＜0.05).However,there was no statistically significant difference in AUC between the PIV,collateral circulation and NIHSS score combined predictive model and the PIV(alone)predictive model(P＞0.05).Conclusions High PIV,high BAR,poor collateral circulation,and high NIHSS score at admission were independent risk factors of disease progression in patients with APACI.Combination of these four indices demonstrates relatively high predictive value for disease progression.In addition,high PIV,poor collateral circulation,and high NIHSS score at admission are independent risk factors of poor prognosis in patients with APACI.Joint detection of the three indices may assist in short-term prognosis evaluation of patients with APACI.

Objective:To explore the short-term clinical effects of deep cervical lymph node-venous anastomosis in the treatment of Alzheimer’s disease (AD).Methods:A prospective exploratory study was conducted on the treatment of AD patients using the cervical deep lymph node-venous anastomosis technique in Scar and Wound Treatment Department, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, from September to October 2024. The patients underwent high-frequency ultrasound to locate deep cervical lymph nodes and the external jugular vein. Under general anesthesia, bilateral deep cervical lymph node-venous anastomoses were performed. Indocyanine green (ICG) lymphography was conducted via subcutaneous injection behind the ear to visualize lymph nodes in levels Ⅱ and Ⅲ. After making a skin incision along the posterior margin of the sternocleidomastoid muscle, the external jugular vein, internal jugular veins, and associated lymph nodes were exposed. Adjacent veins were selected for anastomosis of lymph node. Using microsurgical techniques, end-to-side or end-to-end anastomosis was completed for lymph nodes in levels Ⅱ and Ⅲ. Preoperative assessments included the mini-mental state examination (MMSE, a higher score indicates better cognitive function), Alzheimer’s disease assessment scale-cognitive subscale (ADAS-Cog, a higher score indicates greater impairment of cognitive function), Alzheimer’s disease cooperative study scale for activities of daily living (ADCS-ADL, a higher score indicates better ability to perform daily activity), and neuropsychiatric inventory (NPI, a higher score indicates more severe behavioral and emotional symptom). Postoperative follow-up included the same scales to observe changes in cognitive function, activities of daily living, and emotional communication.Results:Four patients (1 male, 3 females, aged 58-79 years) with AD were included. All were diagnosed based on cerebrospinal fluid biomarkers. All patients successfully underwent bilateral deep cervical lymph node-venous anastomoses. On average, 4.3 (2-7 per person) anastomoses were performed per patient. Surgical procedures lasted an average of 6.5 h (5.5-8.5 h) with minimal blood loss (less than 50 ml). Patients resumed normal activity within 6 hours postoperatively and were discharged after an average of 4.1 d (3.5-5.0 d). Postoperative complications included one case each of aspiration pneumonia, lower limb venous thrombosis, and transient delirium, all of whom resolved without long-term effects. Clinical symptoms, including memory decline, mood swings, and anxiety, showed varying degrees of improvement. Patients reported enhanced quality of life, emotional stability, and social engagement, confirming the procedure’s safety and potential cognitive benefits. At one month postoperatively, the MMSE scores of the four patients increased by an average of 0.8 points compared to preoperative levels. Additionally, the two patients who completed the ADAS-Cog assessments showed a decrease in their scores (reduced by 1.0 points and 11.3 points, respectively, compared to preoperative scores), indicating a certain degree of improvement in cognitive function during this period. The ADCS-ADL and NPI scores of four patients varied significantly, without showing any clear pattern.Conclusion:Lymphovenous anastomosis of the deep cervical lymph node-venous anastomosis may provide a new surgical intervention approach for AD, but further large-scale studies and long-term follow-up are needed to validate its safety and effectiveness.

Objective:To translate the Clinical Leadership Needs Analysis Instrument (CLeeNA) into Chinese and to test its reliability and validity.Methods:The source scale was translated based on the Beaton translation model, and cultural debugging was completed through expert consultation and pre-surveys to form the Chinese version of CLeeNA. Convenience sampling was used to select 536 nurses from three Class Ⅲ Grade A hospitals in Anhui Province from August to December 2023 to conduct the survey and to verify the reliability and validity of the scale. A total of 536 questionnaires were distributed and 495 valid questionnaires were recovered, with an effective recovery rate of 92.351% (495/536) .Results:The Chinese version of CLeeNA contained 43 entries in 7 dimensions of self and team development, staff and care delivery, technology and care initiatives, financial and service management, leadership and clinical practice, patient safety and risk management, and standards of care. The content validity index at the item level ranged from 0.800 to 1.000, and the content validity index at the scale level was 0.953. Exploratory factor analysis extracted 7 common factors with a cumulative variance contribution rate of 82.098%. Confirmatory factor analysis showed that the model fit was acceptable. The total Cronbach's ɑ coefficient for the scale was 0.958, the folding coefficient was 0.898, and the retest reliability coefficient was 0.928.Conclusions:The Chinese version of CLeeNA has good reliability and validity, and can be used for measuring the clinical leadership needs of nurses.