ObjectiveTo evaluate the comparative clinical outcomes of zero-profile interbody fusion （Zero-P） and traditional anterior cervical discectomy and fusion with titanium plate （ACDF-plate） for three-level cervical spondylosis， providing a reference to optimize surgical strategies for three-level cervical spondylosis. MethodsIn this retrospective comparative study， 113 patients were included and assigned to either the Zero-P group （n=51） or the ACDF-plate group （n=62） according to their surgical approaches. Clinical outcomes were evaluated and compared between the two groups using operative time， intraoperative blood loss， length of hospital stay， visual analog scale （VAS） scores， cervical range of motion （ROM）， neck disability index （NDI）， Cervical Disability Index （CDI）， Japanese orthopaedic association （JOA） scores， and postoperative complication rates. ResultsCompared with the ACDF-plate group， the Zero-P group had a shorter operative time and less intraoperative blood loss （P<0.05）； the neck pain VAS score was lower on the 1st day and 1st week after surgery （P<0.05）； the cervical flexion range of motion was higher at 1 month after surgery （P<0.05）； the JOA score was higher at 3 months after surgery， while the NDI and CDI scores were lower （P<0.05）； the total incidence of complications （11.76%） was significantly lower than that in the plate fixation group （35.48%）， and the incidence of neck foreign body sensation/stiffness was lower （P<0.05）. ConclusionZero-P not only demonstrates safety and efficacy comparable to the ACDF-plate， but also highlights the significant value of the minimally invasive concept in facilitating early recovery. Both procedures have their respective emphasis on biomechanical maintenance and minimally invasive benefits， providing a clear evidence-based reference for individualized and precise surgical decision-making in three-level cervical spondylosis.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Objective To investigate the relationship between serum cystatin C(CysC)level and the risk of Parkinson's disease(PD)in middle-aged and elderly people in China.Methods Based on the baseline survey data from the China Health and Retirement Longitudinal Study(CHARLS)in 2011,participants who were not diagnosed with PD at the time of the baseline survey were recruited.The onset of PD was tracked and followed up until 2020,and the participants were divided into PD group and non-PD group according to whether they were newly diagnosed with PD in 2020.Multivariable Logistic regression analysis was performed to assess the association between serum CysC level and the risk of PD.Subgroup and interaction analyses were performed to assess effect modifications by age,gender and depression.Additionally,restricted cubic spline(RCS)was used to explore the linear or non-linear relationship between serum CysC level and the risk of PD in different subgroups.Results We included a total of 3 339 subjects in this study,who consisted of 1 495 males(44.77％)and 1 844 females(55.23％).While baseline participants were followed until 2020,32 subjects had a new PD,and the incidence of PD was 0.96％.The median age of PD group was 63.00 years.Multivariable Logistic regression analysis found that CysC was an independent risk factor for the risk of PD,and CysC was positive significantly associated with the risk of PD(OR=2.34,95％ CI:1.14-4.82,P=0.021).Subgroup analysis showed that CysC was positively associated with PD in females(OR=2.70,95％ CI:1.30-5.58,P=0.007)and subjects aged 60 years or older(OR=5.29,95％ CI:1.69-16.53,P=0.004).RCS model indicated a linear relationship between serum CysC level and the risk of PD in females(Ptotal=0.018,Pnon-linear=0.062)and subjects aged 60 years or older(Ptotal=0.024,Pnon-linear=0.379).Conclusion High level of CysC may increase the risk of PD in middle-aged and elderly people,especially in females and those aged 60 years or older.

With the establishment of bio-psycho-social medical model,both social and psychological factors play an important role in the occurrence,development and treatment of diseases.Hypertension is a common chronic multiple disease in China,and patients are often complicated with depression and other e-motional disorders.The interaction between hypertension and depression significantly increases the risk of poor prognosis.Current studies have shown a bidirectional promoting relationship between hypertension and depression,and they have some com-mon pathogenesis.However,the specific mechanism of their co-morbidity has not been fully elucidated.Renin-angiotensin sys-tem(RAS)plays an important role in the regulation of hyperten-sion and depression and other emotions.It is composed of two antagonistic pathways.The balance is maintained by angioten-sin-converting enzyme 2(ACE2).Therefore,this article reviews the relationship and mechanism of RAS in hypertension,depres-sion and comorbid states,in order to provide new treatment ide-as for hypertension and depression.

Objective:To develop and validate the Pain nursing Competency Evaluation Questionnaire for Nursing Students to provide an effective tool for measuring the pain management competency of nursing students in China.Methods:The questionnaire was constructed through literature review, semi-structured interviews, focus group discussions, Delphi expert consultation, and a pre-survey. From September 2023 to January 2024, a convenience sampling method was used to select 250 nursing students from Hangzhou Normal University and Lishui University in Zhejiang Province for the survey. Reliability and validity of the developed questionnaire were tested. A random sample of 30 nursing students was selected for retesting after two weeks.Results:A total of 10 female experts were consulted through correspondence. The Pain Care Competency Evaluation Questionnaire for nursing students consists of 36 items. Through exploratory factor analysis, five common factors were extracted: pain health education, comprehensive pain assessment, pain screening and assessment, analgesic interventions, and analgesic side effects nursing, which together explained 61.695% of the variance. The content validity of the questionnaire was 0.96, and the item-level content validity index ranged from 0.900 to 1.000. The overall Cronbach′s α coefficient was 0.924, and the Cronbach′s α coefficients for the five dimensions ranged from 0.856 to 0.915. The test-retest reliability was 0.831. Conclusions:The Pain Care Competency Evaluation Questionnaire for nursing students developed in this study has good reliability and validity. It can be used as a tool to assess nursing students′ competency in pain care and provides a reference for the design and optimization of pain care courses and clinical practice programs for nursing students in undergraduate institutions.

Objective To analyze the status of 2 649 suspected pertussis patients in Xi'an and the changes in laboratory diagnostic indi-cators.Methods 2 649 patients with suspected pertussis who visited the Second Affiliated Hospital of Xi'an Jiaotong University from June 2023 to May 2025 were collected as the research subjects.Nasopharyngeal swabs were collected from the patients,and pertussis nucleic acid was detected by polymerase chain reaction(PCR)-fluorescence probe method.Laboratory diagnostic indicators were an-alyzed.Results Among the 2 649 samples tested,250 were positive for pertussis nucleic acid,with a positive detection rate of 9.44%.The detection rate in male patients was 9.37%(127/1 356),and in female patients was 9.51%(123/1 293),with difference no was statis-tically significant between the two groups(χ2=0.019,P=0.894).There was a statistically significant difference in the positive detection rate among different age groups(χ2=46.473,P<0.05),with the highest positive detection rate in the 7～19 age group(14.98%).The prevalence of pertussis showed a seasonal characteristic with a peak from April to September.21.2%(53/250)of the positive patients were mixed infections.In the 1～14 age group,the white blood cell count(WBC),lymphocyte percentage(LYMP%),and lymphocyte count(LYMP#)in the pertussis infection group were higher than those in the Mycoplasma pneumoniae(MP)infection group(t=10.179,5.819,8.614)and the Respiratory syncytial virus(RSV)infection group(t=16.570,2.618,7.185),and the differences were statistically significant(all P<0.01),respectively.In the＞14 age group,the LYMP%and LYMP#in the pertussis infection group were higher than those in the MP infection group(t=3.275,2.319)and the RSV infection group(t=2.401,4.617),and the differences were statistically significant(all P<0.05),respectively.Conclusion The pertussis infection status in Xi'an area from 2023 to 2025 shows significant char-acteristics in terms of age,season and laboratory test results.It is necessary to further improve the pertussis surveillance system in this area,optimize the clinical diagnosis and treatment process and strengthen the vaccination work of pertussis vaccine.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

The elimination of biofilms is a crucial step in controlling hospital-acquired infections.Once biofilms colonize luminal instruments,it is difficult to remove them using traditional disinfection methods.Conventional disinfection approaches now face a series of challenges,including microbial resistance,corrosiveness,cytotoxicity,residual disinfection byproducts,and environmental pollution.Therefore,developing novel disinfection technologies specifically targeting biofilm removal is vitally important.New disinfection technologies,such as slightly acidic electrolyzed water,plasma technology,surface modification techniques,nanomaterial-based disinfection,bacteriophage disinfection,and enzymatic disinfection,are constantly emerging.These technologies exhibit excellent performance against biofilms by leveraging the synergistic effects of multiple mechanisms,including the reactive oxygen species(ROS)burst,photocatalytic oxidation,physical disruption,and biological targeting.This review summarizes the characteristics,underlying mechanisms,and potential application scenarios of these novel disinfection technologies,with a particular focus on their effects against biofilms formed by common pathogenic bacteria on surfaces in hospital settings.It aims to provide a reference basis for the practical application and translation of these disinfection technologies and the development of new disinfection strategies.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Dark plum can be used to treat symptoms such as consumptive thirst due to deficiency-heat and chronic cough due to lung deficiency.Its active ingredients have auxiliary effects on lowering blood glucose,antibacterial and anti-inflammatory activities.Insulin resistance is mainly characterized by the weakening of the physiological effects of insulin in the body,with a relatively complex mechanism that can lead to various metabolic-related diseases and seriously affect health.The active ingredients of dark plum can improve insulin resistance by regulating insulin signaling pathways,endoplasmic reticulum stress,antioxidant stress,inflammatory signaling pathways,levels of related inflammatory mediators,and free fatty acid levels.By reviewing the relevant literature on the improvement of insulin resistance by the active ingredients of dark plum,this article summarizes and analyzes its mechanism of action,aiming to provide new ideas and scientific evidence for in-depth research on insulin resistance and the development and application of drugs.