Cervical cancer (CC) is the fourth leading cause of cancer-related deaths among women worldwide in 2022, and conventional treatment modalities offer limited efficacy for patients with advanced or recurrent disease. Natural killer (NK) cells are a subset of lymphocytes capable of non-specifically eliminating tumor cells and virus-infected cells without prior sensitization, and have emerged as a research focus in the field of cancer immunotherapy. However, the systematic elucidation and in-depth analysis are required in the dual regulatory mechanisms of NK cells within the cervical cancer microenvironment and the bottlenecks hindering their clinical translation. This article reviews the application of NK cell-based immunotherapy in CC, summarizes the mechanisms of action and therapeutic advances of NK cells in CC, identifies the major obstacles to current clinical translation, and proposes corresponding solutions.

Objective: To explore the consistency between self perceived body size and body mass index (BMI) evaluation among medical students, and analyze their association with depressive symptoms, so as to provide scientific evidence for psychological intervention targeting medical students. Methods: From September to November 2022, a convenient cluster sampling method was employed to select 1 850 college students from two universities in Hefei, Anhui Province, and Nanjing, Jiangsu Province. The Patient Health Questionnaire-9 (PHQ-9) was used to assess their depressive symptoms. Chi-square test was applied to compare the rates of depressive symptoms among medical students with different demographic characteristics. Kappa consistency test was performed to evaluate the consistency between self-perceived body size and BMI evaluation. Generalized linear models with binomial distribution and Logit link were constructed to analyze the associations of self-perceived body size and consistency between self-rated and BMI evaluation with depressive symptoms, as well as gender differences in these associations. Results: A total of 40.7 % of medical students overestimated or underestimated their body size. Specifically, the underestimation rate was 20.5% in males and 4.9 % in females, while the overestimation rate was 12.7% in males and 40.5% in females, the distribution of consistency in the misclassification rate of body self-perception between males and females was statistically significant ( χ 2=221.54, P ＜0.01). The overall consistency between self perceived body size and BMI evaluation was low for both males and females, with Kappa values of 0.518 and 0.281 respectively (both P <0.01). After adjusting for confounding variables, generalized linear model analyses showed that medical students with self perceived obesity and body size overestimation had higher risks of depressive symptoms ( OR =1.62, 1.26, both P ＜0.05). Stratified analyses by gender revealed that girls with self perceived overweight and obesity had higher risks of depressive symptoms in female students ( OR =1.43, 1.66, both P <0.05), whereas no statistically significant associations among boys ( OR =0.84, 1.86, both P >0.05). Girls with body size overestimation had a higher risk of depressive symptoms ( OR=1.20, P ＜ 0.05), with no significant association in boys ( OR=1.00, P >0.05). Conclusions Differences exist related between self perceived body size and BMI evaluation among medical students. Self perceived obesity and body size overestimation are related factors to depressive symptoms.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Objective To analyze the clinical and pathogenic characteristics,as well as influencing factors for the prognosis of patients with Candida bloodstream infection(CBSI).Methods Clinical data of 47 CBSI patients in a hospital from January 2015 to September 2024 were collected.Distribution of departments and infection strains,an-timicrobial resistance,and influencing factors for the poor prognosis of patients were analyzed.Results A total of 51 strains of Candida were detected from 47 CBSI patients,mainly from the intensive care unit(ICU;n=25,53.2％),department of intestinal fistula surgery(n=8,17.0％),and department of respiratory medicine(n=4,8.6％),et al.The main detected pathogens were Candida albicans(n=29,56.9％),Candida tropicalis(n=7,13.7％),Candida glabrata(n=6,11.8％),and Candida parapsilosis(n=6,11.8％).Resistance rate of Candida albi-cans to fluconazole was 11.5％(3/26).According to the prognosis results,patients were divided into a good prog-nosis group(n=26,55.3％)and a poor prognosis group(n=21,44.7％).Univariate analysis showed statistically significant differences between patients in the good prognosis group and the poor prognosis group in terms of abso-lute neutrophil count,ICU admission,mechanical ventilation,tracheal intubation,gastrointestinal hemorrhage/per-foration,and surgical treatment(lesion clearance,drainage or unblocking for obstruction)(all P＜0.05).Prelimi-nary multivariate logistic regression analysis showed that gastrointestinal hemorrhage/perforation was a potential risk factor for the poor prognosis in CBSI patients(OR=11.156,95％CI:1.434-86.809,P=0.021).Conclusion The detected CBSI strains are mainly Candida albicans,and gastrointestinal hemorrhage/perforation may be one of the potential risk factors affecting the prognosis of CBSI patients.These patients are generally in critical condition and should be detected and treated as early as possible to improve their prognosis.Due to the small amount of speci-mens,further research is still needed for confirmation.

Objective:To investigate the pathogenetic characteristics of clinical isolates of Streptococcus suis in Henan Province from 2020 to 2023. Methods:Eight clinical isolates of S. suis in Henan Province from 2020 to 2023 were identified using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and real-time fluorescence polymerase chain reaction (PCR). Serotype and virulence genes were detected by the serum agglutination test and PCR, and antibiotic susceptibility was evaluated using the microbroth dilution method. Multilocus sequence typing (MLST), minimum core genome (MCG), identification of antibiotic resistance genes, and core genome single nucleotide polymorphism (cgSNP) analysis were conducted using whole genome sequencing. Results:The results showed that eight S. suis strains isolated from humans were mainly serotype 2 (75.0%), while the rest were serotype 14 (25.0%). ST353 (62.5%) was the predominant genotype, followed by ST1 (25.0%) and ST7 (12.5%). All isolates belonged to the MCG1 group. The virulence genotypes of these isolates were primarily mrp(NA2)/ sly+/ ef+/ gapdh+(75.0%), while the remaining were mrp(EU)/ sly+/ ef+/ gapdh+(25.0%). These isolates carried tetracycline, macrolide, lincosamide and aminoglycoside resistance genes, and their resistance rates to tetracycline, erythromycin and clindamycin were 100.0%, 87.5% and 87.5%, respectively, and 62.5% strains were intermediate-resistant to penicillin. The cgSNP analysis indicated that these isolates were closer to the isolates from Guangdong, Zhejiang and Guangxi Provinces, with five ST353 strains and one ST7 strain belonging to Clade Ⅰ, and two ST1 strains belonging to Clade Ⅱ. Conclusion:The human isolates of S. suis in Henan Province are mainly ST353, harboring multiple virulence and antibiotic resistance genes.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objectives:To develop a risk prediction model for sudden cardiac arrest(CA)in children with congenital heart disease(CHD)after surgery and validate its predictive efficacy,providing a reference for the prevention of CA and risk stratification.Methods:Medical records were retrospectively analyzed from 5 029 children who were hospitalized in Fuwai Hospital,Chinese Academy of Medical Sciences from January 1,2020 to May 31,2022 and underwent CHD surgery.The patients were divided into two groups:those who experienced CA after surgery(n=33)and those who did not(n=4 996).A random forest model for predicting the risk of postoperative CA was established on the training dataset using R software,and the predictive effect of the model was evaluated on the validation dataset using indicators of predictive accuracy,sensitivity,specificity,positive predictive value,negative predictive value.Results:The incidence of CA in this center was 0.66%,survival rate is 72.73%.Using the random forest algorithm,the importance of risk factors for sudden CA after CHD surgery was ranked by variable importance scoring,with the following top 6 important predictive variables:blood pressure,lactate levels,heart rate,cardiac rhythm,arterial oxygen partial pressure,and blood oxygen saturation on the first day after surgery.The model established by the random forest algorithm on the training set was validated on the test set,yielding a predictive accuracy of 99.8%,specificity of 87.5%,sensitivity of 99.9%,kappa coefficient of 0.8225,positive predictive value of 99.9%,and negative predictive value of 77.8%.Conclusions:The established prediction model of sudden CA in children with CHD after surgery had good performance.It might help medical staffon decision making of early intervention,preventing the occurrence of CA,and improving the outcomes of children with high risk of CA post surgery.

Objective To investigate the clinical effectiveness of a nursing safety program for laying moxibustion treatment in sub-health population based on the Delphi method.Methods 160 sub-health patients who sought treatment between April 2022 and August 2024 in Hangzhou Red Cross Hospital were selected and randomly divided into observation group(n=80)and control group(n=80).Both groups received laying moxibustion rehabilitation therapy.The control group received routine nursing care,while the observation group received nursing intervention based on the laying moxibustion nursing safety program developed through the Delphi method.Results Through Delphi method questionnaire survey of 15 experts,three main factors affecting laying moxibustion safety were identified and 11 specific nursing points were established.The incidence of adverse events in observation group was significantly lower than that in control group(P＜0.05),and nursing satisfaction was significantly higher than that in control group(P＜0.05).Conclusion The laying moxibustion nursing safety program constructed based on the Delphi method can effectively enhance the clinical safety of laying moxibustion treatment.

Purpose To explore the consistency between T2 mapping and three-dimensional water-selective cartilage(3D-WATSc)sequence measurement of knee cartilage volume.Materials and Methods A total of 30 healthy volunteers were recruited and underwent 3D-WATSc and T2 mapping sequence scans of the left knee joint in the Affiliated Lihuili Hospital of Ningbo University from May to December 2022.A total of 20 subjects'T2 mapping sequences were randomly selected and eight groups of raw images with different TE(13,26,39,52,65,78,91,104 ms)were analyzed.The quality of the raw images was rated by two observers,and the consistency of two observers'scores were subjected by Kappa test.The TE value with the best image quality was determined via Welch analysis of variance and Games-Howell text post hoc test.Based on T2 mapping and 3D-WATSc sequences,semi-automatic segmentation measurements were performed on the cartilage volume of femoral condyle,tibial plateau and patellar posterior margin in 30 subjects.Intra group correlation coefficient(ICC)and Bland-Altman plot were used to test the consistency of cartilage volume between two observers under T2 mapping sequence,as well as between T2 mapping and 3D-WATSc sequences.Results The consistency of the scores of the two observers was moderate except for poor consistency at TE 104 ms(Kappa=0.318)and no statistical difference at TE 78 ms(P=0.052),with Kappa values greater than 0.40 and P<0.05,further analysis showed that the cartilage display quality score was optimal at TE 26 ms(M=2.90).Comparing TE 26 ms with the scores of the other seven groups in Games Howell text,except for TE 26 ms and TE 13 ms(M=2.55),TE 26 ms and TE 39 ms(M=2.62),which had no statistically significant difference in scores(P>0.05),there were significant differences in scores between TE 26 ms and the other TE groups(all P<0.05).On the T2 mapping(TR 2 000 ms,TE 26 ms)sequence,the ICC values of the cartilage volumes of each part segmented by two observers were all greater than 0.6,P<0.05,with the consistency of femoral condyle cartilage volume being the best(ICC=0.877,P<0.01).The consistency of the cartilage volumes of each part measured by 3D-WATSc and T2 mapping sequences was good(ICC>0.75,P<0.01),with the consistency of tibial plateau cartilage volume being the best(ICC=0.857,P<0.01).Conclusion The T2 mapping original grayscale image(TR 2 000 ms,TE 26 ms)can clearly display the morphology of knee joint cartilage,the consistency between T2 mapping and 3D-WATSc sequences in quantifying knee cartilage volume is good,and the T2 mapping single sequence provides a reliable scanning scheme for one-stop quantitative analysis of knee joint cartilage morphology and function.