Polymyxin is an essential antibiotic for treating multidrug-resistant Gram-negative bacterial infections； however， its significant nephrotoxicity greatly limits its clinical application. To enhance its safety and improve patient outcomes， the study of novel biomarkers for the early prediction of polymyxin-associated acute kidney injury is critically important. Novel biomarkers， such as cystatin C， kidney injury molecule-1， neutrophil gelatinase-associated lipocalin， N-acetyl-β-glucosaminidase， β2- microglobulin， have shown obvious advantages in the early prediction of polymyxin-associated acute kidney injury. Compared to traditional biomarkers， these biomarkers can provide sensitive and specific diagnostic information in the early stages of kidney injury， helping to optimize individualized treatment plans and reduce clinical risks. However， the high cost of detection and complex operation still limit their clinical promotion. Future research should focus on optimizing the detection technology of new biomarkers， simplifying the operation process and reducing costs， while conducting multi-center， large-scale randomized controlled trials to systematically evaluate the sensitivity and specificity of various novel biomarkers， in order to promote their application in the field of prediction of renal injury in clinical practice.

Polymyxin is an essential antibiotic for treating multidrug-resistant Gram-negative bacterial infections； however， its significant nephrotoxicity greatly limits its clinical application. To enhance its safety and improve patient outcomes， the study of novel biomarkers for the early prediction of polymyxin-associated acute kidney injury is critically important. Novel biomarkers， such as cystatin C， kidney injury molecule-1， neutrophil gelatinase-associated lipocalin， N-acetyl-β-glucosaminidase， β2- microglobulin， have shown obvious advantages in the early prediction of polymyxin-associated acute kidney injury. Compared to traditional biomarkers， these biomarkers can provide sensitive and specific diagnostic information in the early stages of kidney injury， helping to optimize individualized treatment plans and reduce clinical risks. However， the high cost of detection and complex operation still limit their clinical promotion. Future research should focus on optimizing the detection technology of new biomarkers， simplifying the operation process and reducing costs， while conducting multi-center， large-scale randomized controlled trials to systematically evaluate the sensitivity and specificity of various novel biomarkers， in order to promote their application in the field of prediction of renal injury in clinical practice.

ObjectiveTo investigate the current status of emergency management for severe mental disorders in Shanghai, and to provide countermeasures and suggestions for the establishment of a sound emergency management system for severe mental disorders and the enhancement of emergency management capability. MethodsA questionnaire survey and qualitative interviews were used to conduct an investigation into the emergency management in 17 district-level mental illness prevention and control institutions in Shanghai, which includes the basic situation of emergency management for severe mental disorders, the construction of emergency response teams and personnel, emergency preparedness drills and training, emergency management plans and rules and regulations, and problems encountered in emergency management. ResultsIn terms of emergency management mechanism and basic situation, resources such as personnel allocation, security funds and green channel were well equipped in each district-level mental illness prevention and control institution in Shanghai. However, the equipment of some hardware facilities was still insufficient to some extent. Therefore, further improvement on the emergency management mechanism for severe mental disorders was needed. With regard to the construction of emergency team and personnel allocation, the majority were those aged between 35‒<45 years old, with a bachelor’s degree, and more than 10 years of working experience. For example, 90.27% staff in district-level mental illness prevention and control institution had a bachelor’s degree or above, which was higher than that among the staff in community-level (73.60%); staff majored in clinical medicine in district-level institution accounted for the proportion at 52.71%, higher than that among the staff in community-level (28.86%); 57.24% staff in district-level institution had an intermediate professional title, higher than that among the staff in community-level (42.28%); and 69.90% staff in district-level institution had more than 10 years of working experience, higher than that among the staff in community-level (43.62%). In the aspect of emergency drills and training, all district-level mental illness prevention and control institutions in Shanghai had a high demand for emergency training, and the weak aspects mainly focused on lack of emergency service protocols, skills of addressing technical challenges, and construction of effectiveness evaluation system. Moreover, the teaching methods were primarily centered on case analysis, simulation drills, interactive discussions, and so forth. Concerning emergency management plans and rules and regulations, all districts in Shanghai had relatively established well-developed systems for emergency response plans, emergency response leadership groups, and emergency response operational task forces for severe mental disorders. About half of the institutions had established other rules and regulations related to emergency management of severe mental disorders in addition to emergency plans. ConclusionShanghai has initially established an emergency management system for severe mental disorders, but it is still fragile in specialized training for emergency management of severe mental disorders, construction of emergency management mechanisms, and the building-up of grassroots emergency teams. Further priorities should include strengthening emergency management training, enhancing the construction of emergency management personnel teams, and gradually establishing a more comprehensive and integrated emergency management mechanism for severe mental disorders.

This paper analyzed the traditional Chinese medicine （TCM） and western medical understanding of coronary microvascular disease （CMVD） from the three dimensions of "disease-syndrome-symptom". In western medicine， by summarizing the suspected diagnosis and understanding of CMVD， it is believed that inflammatory responses and vascular endothelial damage are the key mechanisms of the pathogenesis. From the perspective of TCM， the disease location is at blood， vessels and heart， and the fundamental cause is spleen and kidney depletion， closely realted to phlegm， stasis， toxin， wind and qi. Integrating the understanding of both TCM and western medicine， clinical treatment advocates taking the CMVD pathology as the base， and the TCM understanding of pathogenesis as the main focus. The properties of Chinese herbal medicinals is used as the guidance for medication， and the pharmacological understanding as the assisstance of treatment， with the medical history and the severity of the condition are additionally considered. It is finally proposed that during the acute phase， the methods of nourishing yin and resolving toxins， softening hardness and dissipating masses， dispelling wind and unblocking collaterals should be applied to alleviate the emergency. In the subacute phase， the focus should be on raising and lifting qi promote its movement， with flexible use of medicinals that can unblock yang. In the remission phase， the method of tonifying spleen and fortifying kidney should be used to maintain the stability of the condition.

Aim To investigate the regulatory and an-ti-tumour effects of baicalein on mouse hepatocellular carcinoma cells and mouse macrophage co-cultures.Methods In vitro experiments,mouse hepatocellular carcinoma cell H22 and mouse macrophage RAW264.7 were randomly divided into a blank group and different concentrations of gradient administration group(5,10,20,40,80 mg·L-1),and the cell activity was detec-ted by CCK-8 assay;the two kinds of cells were co-cultured in Transwell chambers of 6-well plates for 48 h,and were randomly divided into the blank,model,and low,medium,and high baicalin groups(10,20,40 mg·L-1).Cell scratch and invasion assays,ELISA kits were used to detect TNF-α and IL-10 factor levels,and Western blot was used to determine the lev-els of CCNA2 and related proteins.The levels of TNF-α and IL-10 were detected by ELISA kits,and the ex-pression levels of CCNA2 and related proteins were de-tected by Western blot.In vivo experiments,H22 sub-cutaneous tumour model was established and randomly divided into the blank,positive,model and drug-ad-ministered groups.Mouse spleen,thymus and tumour indices were counted,and immunohistochemistry and Western blot were employed to detect the expression levels of CCNA2 and macrophage-related indexes in tumour tissues.Results Different doses of baicalein had a significant inhibitory effect on H22 and no signif-icant cytotoxicity on M0-type RAW264.7;the mor-phology of M0-type RAW264.7 cells was changed after co-culture,TNF-α was elevated and IL-10 was re-duced in the baicalein group;the results of the cell scratch assay and invasion assay found that baicalein inhibited M2-type macrophage invasion and metastasis;Arg1,p-p38/p38,p-stat3/stat3,N-cadherin,CCNA2 decreased significantly and Inos and E-cadherin in-creased significantly in the baicalein group;CCNA2,CD206 expression decreased significantly and CD86 expression increased significantly in the administered group.Conclusions Baicalein reverses M2-type mac-rophage polarisation and pro-carcinogenic functions and inhibits M2-type macrophage migration and invasion by modulating M2-type macrophage-related signalling pathways.

Objective To evaluate and compare the success rate and short-term clinical prognosis of transfemoral transcatheter aortic valve replacement(TF-TAVR)for patients with pure aortic regurgitation(PAR)of different annulus sizes.Methods This study is a single center retrospective study,selecting symptomatic PAR patients who received TF-TAVR treatment at Zhongshan Hospital Fudan University from September 2019 to September 2023.Based on preoperative CT results,all patients were divided into three groups:Group A(aortic annulus circumference＜80 mm),Group B(80 mm≤aortic annulus circumference＜85 mm),and Group C(aortic annulus circumference&ge; 85 mm).The primary endpoint was success rate and 30d all-cause mortality,while the secondary endpoint was TAVR related complications.Results A total of 61 PAR patients were included in this study,including 27 in Group A,21 in Group B,and 13 in Group C.The overall success rate is 82.0％,and the 30 d all-cause mortality rate is 3.3％.The success rate of Group C patients was significantly lower(P=0.012),with higher rates of conversion to surgery and valve-in-valve implantation(P=0.022 and P=0.040).In terms of secondary endpoint events,there were no significant differences among the three groups in major bleeding events,major vascular complications,stroke,myocardial infarction,newly developed atrial fibrillation,implantation of new pacemakers,coronary artery occlusion,and postoperative moderate to severe perivalvular leakage(all P＞0.05).Conclusions The circumference of the aortic valve annulus is a key factor affecting the success rate of TF-TAVR in PAR,and PAR patients with an aortic valve annulus circumference less than 85mm may be more suitable for TF-TAVR.

Objective:To detect the expression of L-type amino acid transporter 1(LAT1)in non-Hodgkin's lymphoma(NHL)tissues,and analyze its effect on clinicopathological characteristics and prognosis of patients.Methods:A total of 92 NHL patients who were treated in our hospital from January 2017 to April 2019 were collected.The expression of LAT1 in NHL tissue was detected by immunohistochemistry and compared between patients with different pathological features(including sex,Ann Arbor stage,extranodal infiltration,Ki-67).The risk factors affecting mortality were analyzed using univariate and multivariate Cox proportional hazards regression.Receiver operating characteristic(ROC)curve was used to detect the predictive value of percentage of LAT1-positive cells in NHL tissue for patient mortality,and analyzing the effect of percentage of LAT1-positive cells on survival rate.Results:LAT1 was positively expressed in NHL tissue.The high expression rate of LAT1 in Ann Arbor stage Ⅲ and Ⅳ groups were higher than that in Ann Arbor stage Ⅰ group,that in extranodal infiltration group was higher than non-extranodal infiltration group,and that in Ki-67 positive expression group was higher than Ki-67 negative expression group(all P＜0.05).The remission rate after 3 courses of treatment in high-LAT1 expression group was 70.7％,which was lower than 91.2％in low-LAT1 expression group(P＜0.05).Ann Arbor stage Ⅲ and Ⅳ,extranodal invasion,Ki-67 positive expression and increased expression of LAT1(LAT1-positive cell percentage score &ge; 2)were risk factors for mortality.The cut-off value of percentage of LAT1-positive cells for predicting NHL death was 45.6％,and the area under the ROC curve was 0.905(95％CI:0.897-0.924).The 3-year survival rate of high-LAT1 level group(the percentage of LAT1-positive cells &ge; 45.6％)was 50.00％,which was lower than 78.26％of low-LAT1 level group(P＜0.05).Conclusion:The expression level of LAT1 in NHL tissue increases,which affects Ann Arbor stage and extranodal infiltration of patients.LAT1 is a risk factor for death.

Objective:To explore the predictive value of leukocyte derived markers for postoperative delirium (POD) in patients undergoing cardiac valve surgery.Methods:A prospective cohort study was conducted. The patients who underwent cardiac valve surgery admitted to Beijing Anzhen Hospital of Capital Medical University from October 2021 to March 2023 were enrolled. The demographic, baseline and perioperative data were collected, and the neutrophil to lymphocyte ratio (NLR) and platelet to white blood cell ratio (PWR) were calculated before operation and within 24 hours after operation. Delirium assessment was conducted twice a day for patients within 1-5 days after surgery or discharged within 5 days. According to the evaluation results, the patients were divided into delirium group and non-delirium group. The clinical indexes between the two groups were compared. Multivariate Logistic regression analysis was used to screen the independent risk factors of POD, and the POD predictive model was constructed. The predictive value of POD predictive model was evaluated by receiver operator characteristic curve (ROC curve).Results:A total of 235 patients were enrolled in the analysis, of which 83 patients had POD (35.32%) and 152 patients did not have POD (64.68%). Compared with the non-delirious group, the patients in the delirious group had higher Charlson comorbidity index (CCI) score and lower mini-mental state examination (MMSE) score. In terms of perioperative data, compared with the non-delirium group, the patients in the delirium group had longer operative time, duration of cardiopulmonary bypass, length of intensive care unit (ICU) stay, duration of mechanical ventilation, and postoperative hospital stay, higher incidence of perioperative atrial fibrillation, and lower discharge life score. In terms of leukocyte derived markers, NLR within 24 hours after surgery in both groups were significantly higher than those before surgery, and PWR were significantly lower than those before surgery. The NLR within 24 hours after surgery, PWR difference and NLR difference in the delirium group were significantly higher than those in the non-delirium group. Multivariate Logistic regression analysis showed that CCI score [odds ratio ( OR) = 1.394, 95% confidence interval (95% CI) was 1.038-1.872, P = 0.027], perioperative atrial fibrillation ( OR = 3.697, 95% CI was 1.711-7.990, P < 0.001), duration of cardiopulmonary bypass ( OR = 1.008, 95% CI was 1.002-1.015, P = 0.016), length of ICU stay ( OR = 1.006, 95% CI was 1.002-1.010, P = 0.002), NLR difference ( OR = 1.029, 95% CI was 1.009-1.050, P = 0.005) and PWR difference ( OR = 1.044, 95% CI was 1.009-1.080, P = 0.013) were independently correlated with POD. POD predictive model was constructed by multivariate Logistic regression analysis result: POD predictive model index = -4.970+0.336×CCI score+1.317×perioperative atrial fibrillation+0.009×duration of cardiopulmonary bypass+0.006×length of ICU stay+0.030×NLR difference+0.044×PWR difference. ROC curve analysis showed that the area under the ROC curve (AUC) of NLR difference for predicting POD was 0.659 (95% CI was 0.583-0.735), the optimal critical value was 16.62, the sensitivity was 60.2%, and the specificity was 70.4% ( P < 0.05). The AUC of PWR difference for predicting POD was 0.608 (95% CI was 0.528-0.688), the optimal critical value was 25.68, the sensitivity was 51.8%, and the specificity was 75.7% ( P < 0.05). The AUC of POD predictive model for predicting POD was 0.805 (95% CI was 0.745-0.865), the optimal critical value was 0.39, the sensitivity was 74.7%, and the specificity was 79.6% ( P < 0.05). Conclusion:The differences of NLR and PWR are independently related to POD, which has potential value in predicting POD after cardiac valve surgery.

Objective:To investigate the alterations in brain dynamic functional network connectivity (dFNC) and their significance in Parkinson's disease (PD) patients with postural instability/gait difficulty (PIGD).Methods:Ninety PD patients admitted to Department of Neurology, First Affiliated Hospital of Nanjing Medical University from May 2016 to August 2019 were recruited, and 54 healthy controls matched with gender and age were chosen; their clinical data and resting-state functional MRI (rs-fMRI) data were collected. PD patients were divided into PD with PIGD (PD-PIGD) group ( n=49) and PD without PIGD (PD-non-PIGD) group ( n=41) according to Unified Parkinson's Disease Rating Scale (UPDRS) scores. Independent component analysis (ICA), sliding window method and k-means clustering were used to analyze the dFNC and compare among groups. Correlations of dFNC alterations with clinical scales were verified by partial correlation analysis. Results:Four repeated recurring functional connectivity states were identified, and PD-PIGD patients had high frequency in state 3 (44%) and state 2 (23%) of the low dFNC. In terms of dFNC time attributes, PD-PIGD patients had longer mean dwell time in state 3 than PD-non-PIGD patients and had lower number of transitions in state 3 than PD-non-PIGD patients and healthy controls, with significant differences ( P<0.05); PD-PIGD patients had significantly higher fractional windows and statistically longer mean dwell time in state 2 than healthy controls ( P<0.05). In terms of dFNC strengths, compared with healthy controls, PD-PIGD patients showed significantly decreased functional connectivity within default mode network (DMN, between medial superior frontal gyrus and precuneus) and auditory network (AN, between superior temporal gyrus and middle temporal gyrus), but significantly increased functional connectivity between sensorimotor network (SMN, supplementary motor area) and DMN (precuneus) in state 2 ( P<0.05, false discovery rate [FDR]-corrected). Partial correlation analysis indicated positive correlation between mean dwell time in state 3 and PIGD scores in PD-PIGD patients ( r=0.450, P=0.039). Conclusion:PD-PIGD patients exhibit specific dFNC, mainly characterized by low connectivity of the brain functional network and prolonged dwell time; local functional network domains often separate between DMN, AN and SMN networks and within the networks.

Objective:To investigate the factors associated with complications following the implantation of external-expansion devices with an injection port.Methods:A retrospective study was conducted, including 68 patients who underwent expansion device implantation at the Department of Plastic Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, from January 2019 to May 2022 and the patients experienced postoperative complications (case group). Additionally, 195 patients who underwent the same procedure during the same period but did not experience complications were selected as control group, following a 1∶3 ratio. Preoperatively, different shapes and sizes of expansion devices were chosen according to the lesion location and area. Observational indicators included admission diagnosis, preoperative white blood cell count, preoperative hemoglobin count, gender, age, implantation site of the expander, season of admission, and duration of postoperative drainage tube placement. Univariate and multivariate logistic regression analyses were used to analyze factors associated with postoperative complications.Results:Univariate logistic regression analysis revealed that implantation at the trunk ( OR=0.439, 95% CI: 0.207-0.901, P=0.028), admission diagnosis of microtia ( OR=4.155, 95% CI: 1.735-10.206, P=0.001), and admission season from April to September ( OR=3.269, 95% CI: 1.819-6.073, P<0.001) were associated with complications following expansion device implantation. Multivariate logistic regression analysis showed that admission season from April to September ( OR=3.272, 95% CI: 1.796-6.156, P<0.001) was a significant factor associated with postoperative complications. Conclusion:Implantation site at the trunk, admission diagnosed with microtia, and admission season from April to September are the factors associated with complications following expansion device implantation.