[Objective] To systematically evaluate the therapeutic effect of washed red blood cells and white suspended red blood cells on patients with autoimmune hemolytic anemia, and to provide reference for their clinical treatment. [Methods] CNKI, Wanfang, VIP, PubMed, Embase, Cochrane Library and other databases from the establishment of the database to August 2024 were searched, including the randomized controlled trials of washed red blood cells and white suspended red blood cells in the treatment of autoimmune hemolytic anemia that met the requirements. After literature screening, data extraction and quality evaluation, meta-analysis was performed using Review manager 5.3 software and Stata 15.1 software to analyze the therapeutic effect of blood transfusion in the primary outcome, hematological indicators (Hb, Ret, RBC, and TBIL) of the two groups after blood transfusion and the occurrence of adverse blood transfusion reactions. [Results] After screening, 10 literatures meeting the criteria were retrieved, and a total of 753 patients with autoimmune hemolytic anemia were treated with washed red blood cell infusion in the observation group and white suspended red blood cell infusion in the control group. Meta-analysis suggested that there was no significant difference in the therapeutic effect of transfusion between patients who received washed red cells and those received white suspended red cells[SMD=1.16, 95%CI (0.87, 1.54), P>0.05]. The hematological indexes of the two groups after transfusion (Hb [SMD=0.04, 95%CI (-0.14, 0.22), P>0.05]、Ret[SMD=-0.15, 95%CI (-0.34, 0.03), P>0.05]、RBC[SMD=0.08, 95%CI (-0.10, 0.26), P>0.05] and TBIL [SMD=-0.02, 95%CI (-0.18, 0.15), P>0.05]) and the incidence of transfusion adverse reactions[SMD=0.8, 95%CI (0.47, 1.39), P>0.05] were not significantly different. [Conclusion] Based on the current study, the efficacy and safety of infusion of washed red blood cells and white suspended red blood cells are comparable in patients with autoimmune hemolytic anemia. However, considering the simple preparation process of washed red blood cells and the low price, infusion of washed red blood cells is recommended for patients with autoimmune hemolytic anemia.

With the increasing demand for dynamic,real-time and rapid qualitative analysis of chemical composition in areas such as emergency response and space exploration,chip-scale mass spectrometers have attracted significant attention.These devices are expected to drive the integration of mass spectrometry with micro/nano-fabrication and intelligent sensing technologies,fostering profound innovation and breakthroughs in analytical chemistry.As an excellent mass analyzer,the ion trap exhibits numerous advantages,and its miniaturization creates favorable conditions for the high-density integration of miniature mass spectrometers.However,the reduction in ion storage capacity may compromise its sensitivity and dynamic range,rendering the study of ion unidirectional ejection in highly miniaturized ion traps of significant practical importance.In this work,a research was conducted on achieving efficient ion unidirectional ejection while maintaining high mass resolution in the extremely miniature hyperbolic linear ion trap(M-HLIT)with a field radius of 1 mm,and an electric field compensation method was proposed,which combined asymmetric electrode stretching and unbalanced RF voltage to achieve high-precision optimization of the electric field composition.Simulations showed that in an ideal structure,this method achieved 100％unidirectional ejection efficiency with the mass resolution of 518,significantly outperforming traditional asymmetric structure method(365)and unbalanced voltage method(321).Following the introduction of ion ejection slots,further optimization through bidirectional stretching and electrical parameters improved the resolution to 790 while maintaining a unidirectional ejection efficiency of 93％.This method eliminated the requirement for additional excitation voltage,offering an ideal solution for the miniature mass analyzer with high detection performance of chip-level mass spectrometers.

Objective To explore the change of serum chloride ion(Cl-)level and its relationship with prognosis in patients with acute heart failure(AHF).Methods A total of 289 patients with AHF admitted to the hospital from September 2020 to March 2023 were included in the study.Clinical and laboratory data of patients were collected,serum Cl-levels were detected at admission and discharge,and the difference of Cl-levels was calculated(△Cl-).Patients with AHF were divided into poor prognosis group and good prognosis group according to the incidence of adverse cardiovascular events during follow-up.Clinical and laboratory data of the two groups were compared.Logistic regression analysis was used to analyze the relationship between se-rum △Cl-level and poor prognosis of AHF by using restricted cubic spline(RCS)curve drawn by the func-tions in the rms package.Receiver operating characteristic(ROC)curve was plotted to analyze the value of△Cl-levels in predicting the risk of adverse cardiovascular events within 1 year of discharge from hospital in patients with AHF.Results The age and the proportion of patients with atrial fibrillation in the poor progno-sis group were higher than those in the good prognosis group,and the difference was statistically significant(P＜0.05).The levels of left ventricular ejection fraction(LVEF)and Cl-at discharge in the poor prognosis group were lower than those in the good prognosis group,and the levels of brain natriuretic peptide(BNP)and △Cl-in the poor prognosis group were higher than those in the good prognosis group,with statistical sig-nificance(P＜0.05).Logistic regression analysis showed that LVEF was an independent protective factor for poor prognosis of AHF,and age,BNP and △Cl-levels were independent risk factors for poor prognosis of AHF(P＜0.05).RCS curve analysis showed a significant linear association between △Cl-levels and the risk of adverse cardiovascular events in patients with AHF within 1 year of discharge.ROC curve analysis showed that the area under the curve of △Cl-level in predicting the risk of adverse cardiovascular events in AHF pa-tients within 1 year after discharge was 0.857,the sensitivity was 88.37％,and the specificity was 69.46％.Conclusion The change of serum Cl-level of patients with AHF is related to the prognosis of patients with AHF,and monitoring the serum Cl-level of patients with AHF can guide the early clinical intervention.

Objective:To observe the expression level of long noncoding RNA RP11-97C16.1 in bladder cancer tissues and its relationship with the survival time of bladder cancer patients, and to explore the role and potential molecular mechanism of RP11-97C16.1 in the proliferation of bladder cancer cells.Methods:The expression difference of RP11-97C16.1 in bladder cancer tissue and adjacent tissue was analyzed by TCGA database, and the relationship between the expression level of RP11-97C16.1 and the survival time of bladder cancer patients was analyzed by GEPIA database. The expression of RP11-97C16.1 in four bladder cancer cell lines (T24, MGH-U3, J82, UM-UC-3) was detected by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). The UM-UC-3 cells were divided into RP11-97C16.1 group and control group, and the transfectants were pcDNA-RP11-97C16.1 plasmid and negative control plasmid, respectively. The expression levels of RP11-97C16.1 and miR-3687 were detected by RT-qPCR. The viability and proliferation ability of UM-UC-3 cells were detected by cell counting kit-8 (CCK8) and colony formation assay. The complementary relationship between RP11-97C16.1 and miR-3687 was verified by dual-luciferase reporter gene assay. The expression levels of Cyclin E2, CDK2, CDK4, CDK6 and Cyclin D2 were detected by Western blotting. Measurement data were expressed as mean ± standard deviation ( ± s), independent sample t-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups. Results:Compared with adjacent tissues, the expression of RP11-97C16.1 in bladder cancer tissues was significantly decreased ( P<0.01). Compared with patients with lower expression of RP11-97C16.1, patients with higher expression of RP11-97C16.1 had longer overall survival time ( P<0.01). Compared with the SV-HUC-1 cell line, the expression of RP11-97C16.1 was significantly decreased in the four bladder cancer cell lines ( P<0.01). In UM-UC-3 cells in which RP11-97C16.1 was upregulated, the expression of miR-3687 was decreased ( P<0.01). Compared with the control group, up-regulation of RP11-97C16.1 could significantly reduce the proliferation ability of UM-UC-3 cells ( P<0.05), and decrease the number of bladder cancer cell colonies ( P<0.01). RP11-97C16.1 could target and bind miR-3687 ( P<0.01). Compared with the control group, overexpression of RP11-97C16.1 could significantly decreased the expression of Cyclin E2, CDK2, CDK4, CDK6, and Cyclin D2 proteins. Conclusions:The expression of RP11-97C16.1 is low in bladder cancer tissue, and patients with higher expression of RP11-97C16.1 have a longer survival time. Up-regulation of RP11-97C16.1 can down-regulate the expression of miR-3687, thereby inhibiting the proliferation of bladder cancer cells UM-UC-3.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To analyze the epidemiological characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Beijing in 2024, to investigate the infection status of reservoir hosts, vector organisms, and baseline human populations, and provide a scientific basis for formulating prevention and control strategies.Methods:Epidemiological surveys were conducted on all confirmed cases. Serum samples from healthy populations and reservoir hosts were collected for SFTSV antibody detection. Questing ticks were monitored using the flagging method. Real-time fluorescent quantitative PCR was employed to detect SFTSV in cases, reservoir hosts, and ticks. Positive samples underwent whole-genome sequencing and genetic evolution analysis.Results:In 2024, Beijing reported 15 locally infected cases with 4 deaths. The age of onset ranged from 50 to 80 years (median: 66 years). Cases showed a certain degree of geographical clustering, with June being the peak month of onset. The affected population was predominantly farmers, with a male-to-female ratio of 3∶2. Animal contact history emerged as a significant risk factor alongside tick bites. Parthenogenetic tick populations were identified in Pinggu district, while SFTSV-carrying ticks were detected in endemic areas (Mentougou, Shijingshan, and Fengtai Districts). Viral presence was also confirmed in ticks or dogs from non-endemic areas. Sequencing and phylogenetic analysis revealed stable clustering of strains into two distinct genotypes (A and B). Antibody-positive individuals were identified in healthy populations from non-endemic areas.Conclusions:The incidence of SFTS in Beijing is increasing, with natural viral circulation already established in non-endemic regions. Enhanced surveillance and adjusted prevention strategies are urgently needed.

Objective:To construct and validate a predictive model for postoperative pulmonary complications (PPCs) in patients undergoing robot-assisted laparoscopic urological surgery.Methods:This retrospective study included the medical records of 932 patients who underwent robot-assisted laparoscopic urological surgery at the First Affiliated Hospital of Zhejiang University School of Medicine from January 2020 to February 2022. The patients were divided into a training group ( n=559) and a validation group ( n=373) at a 6∶4 ratio. Logistic regression analysis was used to determine the independent risk factors for PPCs, and a nomogram prediction model was constructed based on these factors. The performance of the model was evaluated using the receiver operating characteristic curve and calibration curve, and the clinical benefit was assessed using the clinical decision curve analysis. Results:The independent risk factors for PPCs included advanced age (>60 yr), smoking history, respiratory tract infection within 1 month, preoperative low SpO 2 (<96%), and prolonged length of postoperative hospital stay ( P<0.05), and the body mass index (18.5-<28.0 kg/m 2) was a protective factor. The nomogram prediction model developed based on the aforementioned 6 influencing factors had an area under the receiver operating characteristic curve of 0.81 (95% confidence interval 0.76-0.86) in training group and 0.80 (95% confidence interval 0.75-0.86) in validation group. The calibration curve indicated a good consistency between the predicted and actual occurrence curves, and the clinical decision curve analysis showed good accuracy and net benefit of the prediction model. Conclusions:The predictive model for PPCs is successfully constructed based on age, low body mass index, smoking history, history of respiratory tract infection within 1 month, preoperative low SpO 2 and prolonged length of postoperative hospital stay and has good predictive performance in patients undergoing robot-assisted laparoscopic urological surgery.

Objective To investigate the clinical significance and potential mechanism of NAT10 in hepatocellular carcinoma.Meth-ods A total of 50 normal and 374 tumor samples were obtained based on The Cancer Genome Atlas(TCGA),and the data were pro-cessed by R 4.2.1.Results The expression of NAT10 in tumor samples was significantly higher than that in normal samples(P＜0.001).Compared with patients with low expression of NAT10,patients with high expression of NAT10had worse prognosis(P＜0.001).Logistic regression analysis showed that high NAT10 expression was associated with adverse clinical prognostic factors,and pa-tients with high NAT10 expression were more likely to progress to the advanced stage.Gene set enrichment analysis(GSEA)results showed that the genes related to heterobiotic metabolism,blood coagulation and fatty acid metabolism were differentially enriched in the samples with high expression of NAT10.The protein interaction analysis results showed that NAT10may interact with genes such as IGF2,SST,MUC2,CHGA,AGR2,etc.Conclusion NAT10 is highly expressed in hepatocellular carcinoma,and the expression level is cor-related with the clinical characteristics and survival rate of patients with hepatocellular carcinoma.NAT10may be a potential molecular bio-marker for hepatocellular carcinoma prognosis.