Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

Central venous pressure(CVP)is a commonly used hemodynamic index in clinical practice,and the accuracy of its measurement results is influenced by the measurement technical specifications.Based on research evidence and clinical practice,this article interprets the main content of the group standard of CVP measurement technology,and proposes suggestions for its use.It aims to guide clinical nursing staff to correctly understand the principles and methods of CVP measurement,and promote the standardization of nursing practice and the accuracy of measurement results.

Central venous pressure(CVP)is a commonly used hemodynamic index in clinical practice,and the accuracy of its measurement results is influenced by the measurement technical specifications.Based on research evidence and clinical practice,this article interprets the main content of the group standard of CVP measurement technology,and proposes suggestions for its use.It aims to guide clinical nursing staff to correctly understand the principles and methods of CVP measurement,and promote the standardization of nursing practice and the accuracy of measurement results.

Objective:To analyze the clinical characteristics, treatment strategies, and prognostic outcomes of patients infected with Listeria monocytogenes, thereby providing evidence-based insights for the prevention and control of this disease.Methods:A retrospective analysis was performed on the clinical data, diagnostic tests, treatment protocols, and prognostic outcomes of patients definitively diagnosed with Listeria monocytogenes infection at Sichuan Provincial People's Hospital over the past decade. Additionally, a comprehensive literature review was conducted, encompassing studies published between 2014 and 2024, sourced from CNKI, Wanfang Data, and PubMed. This review focused on summarizing the clinical features, treatment regimens, and prognostic outcomes of patients with Listeria monocytogenes infection.Results:The study cohort comprised 17 patients, with a mean age of (61.29 ± 16.24) years. The confirmed cases included 7 cases of bloodstream infections, 3 cases of central nervous system infections, and 7 cases of combined infections. Sepsis developed in 9 patients. The average time from symptom onset to the initiation of empirical antibiotic therapy was 72 hours, while the mean time to definitive diagnosis was 102 hours. Antimicrobial regimens predominantly featured penicillins, meropenem, and vancomycin. The average hospitalization duration was 16 days, with 9 patients experiencing adverse outcomes. A total of 78 relevant literature pieces were retrieved, encompassing data from 85 patients. The average age of these patients was (57.96 ± 16.48) years. Primary diagnostic methods relied on blood/cerebrospinal fluid cultures and Next-Generation Sequencing (NGS). Treatment regimens primarily involved antibiotics such as penicillins, aminoglycosides, carbapenems, and glycopeptides. Despite these interventions, the proportion of patients with poor prognosis remained significantly high at 30.6% (26/85). Logistic regression analysis identified sepsis and delayed antibiotic administration as independent predictors of poor prognosis.Conclusions:Listeriosis, caused by an opportunistic pathogen, necessitates early antibiotic administration and timely identification of at-risk populations to mitigate the risk of poor prognostic outcomes in patients.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Objective:To understand the etiological surveillance and drug resistance characteristics of Legionella pneumophila (LP) from the aqueous environment of public places in Shanghai, from 2011 to 2020, and provide evidence for surveillance of the disease. Methods:Environmental water samples were systematically collected from public venues in urban and suburban districts of Shanghai for LP surveillance. All the identified LP isolates underwent a series of testings including serotyping, pulsed field gel electrophoresis (PFGE), sequence-based typing, and antimicrobial susceptibility testing. χ2 test or Cochran-Armitage trend tests were used for statistical analysis and for temporal resistance patterns. Results:Among 6 263 water samples, the LP-positive rate was 20.93% (1 311/6 263). The positivity rate decreased from 24.98% (287/1 149) in 2011-2012 to 20.02% (1 024/5 114) in 2013-2020 ( χ2=13.92, P<0.001), with the highest monthly positivity observed from June to August (23.79%, 745/3 132). A total of 1 365 LP strains were isolated, of which 912 were further characterized, including 10 serotypes, 149 PFGE patterns, and 33 sequence types (ST). The predominant serotype was Lp1 (86.84%, 792/912), and the dominant ST was ST752 (29.50%, 269/912). ST clustering revealed two major clonal groups CG1 and CG2, accounting for 91.12% (831/912) of the isolates. The 190 LPs involved in the drug sensitivity test showed three resistance profiles: azithromycin resistance (31.05%, 59/190), ciprofloxacin resistance (0.53%, 1/190) and azithromycin+ciprofloxacin resistance (0.53%, 1/190). Azithromycin-resistant strains were predominantly ST1 (64.41%, 38/59). The antimicrobial resistance rate showed a significant decline, from 48.65% (18/37) in 2011-2012 to 28.10% (43/153) in 2013-2020 ( χ2=9.38, P=0.002). Conclusions:Compared to from 2011 to 2012, both the positivity rate and antimicrobial resistance prevalence of LP in public aqueous environments of Shanghai exhibited an overall decline from 2013 to 2020. The predominant types of LP were serotype Lp1 and sequence type ST752, with notable high-level resistance to azithromycin. Measures as enhancing the enforcement of water safety regulations and prioritizing surveillance of azithromycin resistance in LP were recommended to mitigate public health risks.

This study aims to understand the epidemic distribution characteristics,antimicrobial resistance,virulence genes,and biofilm adhesion ability of Enterococcus in yaks on the Tibetan plateau.Three hundred and forty-six fresh yak fecal samples and 311 milk samples were collected from four provinces on the Tibetan plateau(Xizang,Sichuan,Gansu,Qinghai),totaling 657 sam-ples.Bacterial isolation and identification were conducted,followed by 16S rDNA gene detection and the construction of a systematic evolutionary tree.The isolated strains were tested for antimi-crobial resistance and virulence genes using PCR,and sensitivity tests were performed using 18 types of antibiotics.The biofilm adhesion ability of the isolated bacteria was determined using an improved semi-quantitative crystal violet staining method.The results showed that the total isola-tion rate of Enterococcus was 32.27％,with Sichuan having the highest at 60.23％,followed by Gansu,Qinghai,and Tibet autonomous region at 42.70％,23.47％,and 18.31％respectively.In terms of sample types,the isolation rate in fecal samples was 36.71％,and in milk samples,it was 27.33％.Through PCR amplification,bands of approximately 1 400 bp were obtained,and 5 strains were selected for evolutionary analysis,forming a separate cluster.Among the 212 isolated strains,a high resistance to clindamycin,quinupristin-dalfopristin,linezolid,levofloxacin,and erythromycin was observed,with various resistance phenomena,accounting for 60.85％.Only 5 out of 12 resist-ant genes were detected,namely erm(B),tet(L),tet(O),tet(M),and ant(6)-Ia.All 13 virulence genes were detected in Enterococcus,with detection rates in the range of 5.19％to 95.76％,where cpd was 95.75％,gelE was 91.98％,efaA was 86.79％,asal was 86.32％,and the rest ranged from 5.19％to 55.66％.The fsr virulence gene was not detected in Enterococcus from milk sources.Among the isolated strains,3.30％showed medium adhesive ability,48.58％showed weak adhesive ability,and 48.11％showed no adhesive ability.The above research revealed the preva-lence of yak derived Enterococcus,the carrying status of resistance and virulence genes,and the correlation between biofilm phenotypes,laying the foundation for mastering research data on yak-derived Enterococcus in the Tibetan plateau.

Jiaxing city is one of the pilot cities for the Long-term Care Insurance(LTCI)policy in Zhejiang Province.This study examines the current implementation status of Jiaxing's LTCI policy in terms of financing(including financing targets,channels,methods,and standards)and benefit payments(including payment forms,contents,standards,and levels).It summarizes the experiences and challenges encountered during the pilot process.Currently,Jiaxing's LTCI policy has undergone continuous improvement in financing and benefit payment mechanisms.The financing targets now cover both urban and rural residents,and the coverage has expanded from individuals with severe disabilities to include those with severe dementia.The benefit content has been refined,with the introduction of a detailed service project directory and service pricing.For the future,it is recommended to expand the coverage to individuals with moderate disabilities,based on the fund's capacity and sustainability,and to differentiate benefit standards according to the severity of disability.Furthermore,it is suggested to strengthen the responsibilities of employers and individuals,diversify financing channels,and gradually explore an independent financing mechanism for LTCI.A combination of fixed-amount and proportional financing methods should be considered,alongside factors such as intergenerational equity and population aging trends,to establish a scientific and dynamic premium adjustment mechanism.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Objective:To compare the effects of standard cognitive behavioral therapy for insomnia (CBT-I) and enhanced cognitive behavioral therapy for insomnia(CBT-I Plus) in patients with chronic insomnia disorder comorbid anxiety or depressive symptoms.Methods:This prospective study included 148 patients with chronic insomnia disorder and anxiety/depression symptoms who were treated at the Sleep Disorder clinic of Shanghai Mental Health Center between July 2020 and August 2023. Participants (56 males, 92 females; aged 18-65 years, mean age 35.08±10.30 years) were randomly assigned in a 1∶2 ratio to the CBT-I group ( n=54) or CBT-I Plus group ( n=94). The CBT-I Plus group received additional treatments targeting anxiety and depressive symptoms. Treatment lasted 8 weeks, with assessment conducted at baseline, weeks 2, 4, and 8. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HAMD 17), anxiety severity with the Hamilton Anxiety Scale (HAMA), and sleep quality with the Pittsburgh Sleep Quality Index (PSQI). Paired sample t-tests were used to evaluate within-group changes, repeated-measures ANOVA compared treatment effects between groups, and ANCOVA was employed to adjust for confounding variables. Results:Significant reductions in PSQI, HAMD 17, and HAMA scores were observed in both groups after treatment: CBT-I group: PSQI ((14.15±2.54) vs. (7.50±3.35), t=13.25), HAMD 17 ((14.70±4.09) vs. (7.40±4.61), t=9.33), and HAMA ((14.94±4.11) vs. (5.56±3.67), t=12.38) (all P<0.001).CBT-I Plus group: PSQI ((14.87±3.01) vs. (7.19±3.86), t=18.75), HAMD 17 ((16.84±3.91) vs. (6.84±4.79), t=17.42), and HAMA ((15.57±3.93) vs. (6.10±4.57), t=18.39) (all P<0.001). After adjusting for HAMD 17 scores and medication use, no statistically significant between-group differences were observed in changes in PSQI, HAMD 17, and HAMA scores ( P>0.05). A significant time-by-group interaction was found for the PSQI daytime dysfunction subscale ( F=4.87, P<0.01). Conclusion:Both CBT-I and CBT-I Plus improve sleep and emotional symptoms in patients with chronic insomnia disorder and comorbid anxiety/depression symptoms. However, CBT-I Plus has no significant advantages over standard CBT-I. Further studies are needed to refine the timing and content of interventions.