OBJECTIVE To systematically evaluate pharmacoeconomic studies on treatment strategies for transfusion- dependent β thalassemia （TDT） both in China and internationally， to inform clinical decision-making and health resource allocation， and provide methodological references for future domestic research in China. METHODS Databases including PubMed， Embase， Web of Science， the Cochrane Library， CNKI， Wanfang Data， and VIP were searched for pharmacoeconomic studies related to TDT treatments from inception to December 2024. Two researchers independently screened the literature， extracted data， and assessed risk of bias using the Consolidated Health Economic Evaluation Reporting Standards 2022 （CHEERS 2022） checklist. A qualitative systematic review was conducted focusing on model structure， costs， health outcomes， uncertainty analysis， and economic evaluation results. RESULTS A total of 1 685 articles were initially identified， and 13 pharmacoeconomic studies were ultimately included. The overall quality of the included studies was relatively high， covering interventions including blood transfusion and iron chelation therapy （BT-ICT）， hematopoietic stem cell transplantation （HSCT）， and gene therapy. All studies employed cost-utility analysis from societal， healthcare system， and payer perspectives. Markov models were most frequently used in model design. Most studies adopted a lifetime horizon with a cycle length of one year and a discount rate of 1.5% to 5%. Costs mainly focused on direct medical costs， sourced from national insurance databases and published literature. Utility values were primarily derived from literature or measured using techniques such as time trade-off. Most studies conducted both deterministic and probabilistic sensitivity analyses， identifying the costs of iron chelators and utility values as key influential parameters. Some studies also performed scenario analyses. CONCLUSIONS HSCT was likely more cost-effective than BT-ICT for pediatric/ adolescent patients. BT-ICT demonstrated superior cost-utility for adult patients， with the deferiprone regimen potentially being the most cost-effective option. Current domestic and international pharmacoeconomic evaluations for TDT remain limited. Future research should adopt a societal perspective， use a lifetime horizon， and strictly follow the CHEERS 2022 checklist when conducting pharmacoeconomic evaluations of treatments for TDT.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Objective To analyze the spatiotemporal distribution characteristics of the syphilis epidemic in Gansu Province from 2005 to 2021, and to provide a reference for the prevention and control of the syphilis epidemic in Gansu Province. Methods ArcGIS 10.7 was used to map the annual incidence of syphilis in Gansu Province from 2005 to 2021, spatial autocorrelation analysis and local autocorrelation analysis were performed, and SaTScan 10.0.2 software was used for spatiotemporal scanning analysis. Results The global autocorrelation results showed that the annual incidence of syphilis in 2005-2021 was >0, Z＞1.96, and the P< 0.0001, showing a spatial clustering distribution, and the local autocorrelation results showed that there was one spatially similar high-high aggregation area and two spatially similar low-low aggregation areas in Gansu Province, and the hot spot analysis showed that there were 9 negative hotspot areas and 2 positive hotspot areas in the syphilis epidemic in Gansu Province. Spatiotemporal scanning analysis detected two high concentration areas, mainly concentrated in Gannan Tibetan Autonomous Prefecture. Conclusion Syphilis in Gansu Province has regional differences in space, and high-high accumulation areas in Gannan Tibetan Autonomous Prefecture persist, and targeted prevention and control strategies should be specified according to temporal and spatial characteristics.

Objective:This study aims to explore the prevalence of hepatitis E virus (HEV) infection in patients and the screening value of serological indicators for HEV infection patients.Methods:Retrospective analysis was conducted on 97 440 cases of anti-HEV IgM and IgG simultaneously tested in two Beijing hospitals from January 1, 2018 to August 31, 2023. Among them, there were 61 005 males and 36 435 females, with an average age of 51.65±13.05 years old. According to the positivity of anti HEV specific antibodies, they were divided into anti-HEV IgM positive group (3 588 cases), anti-HEV IgG positive group (18 083 cases), and anti-HEV antibody negative group (78 892 cases). Results of HEV RNA, liver function, AFP, PIVKA-Ⅱ and PT were collected, and their basic clinical information were recorded. The prevalence of HEV infection in patients, as well as the relationship between the positivity of anti-HEV specific antibodies and the patient′s age group, HEV RNA, and clinical characteristics were analyzed.Results:Among 97 440 patients who tested anti-HEV IgM and IgG simultaneously, the positivity rate of anti-HEV IgM was 3.68% (3 588/97 440), and was 18.56% for anti-HEV IgG (18 083/97 440). The overall positivity rates of anti-HEV IgM in two Beijing hospitals from 2018 to 2023 were 2.51%, 2.53%, 3.02%, 4.59%, 5.72%, and 4.26% ( χ2=1 401.73, P<0.001), while the positivity rates of anti-HEV IgG were 12.56%, 12.32%, 12.85%, 22.65%, 27.42%, and 26.66% ( χ2=1 058.29, P<0.001). These rates showed a gradual increase until 2023 when a decline was observed. The positivity rates of anti-HEV IgM (2.28%, 3.60%, 4.47%) ( χ2=89.62, P<0.001) and IgG (4.71%, 17.86%, 25.94%) ( χ2=2 017.32, P<0.001) increased with age in patients who aged 1-30, >30-60, and over 60 years old. The age and ALB values of patients in the anti-HEV IgM positive group were lower than the IgG-positive group, while the proportion of males, TBIL, ALT, AFP and PT values were higher than the IgG-positive group, and the differences were statistically significance ( P<0.05). Furthermore, patients in both the anti-HEV IgM and IgG positive groups had higher age, male proportion, TBIL, ALT, AFP, PIVKA-Ⅱ, and PT values than the anti-HEV negative group. Additionally, both groups had lower ALB values than the anti-HEV negative group, all of which were statistically significant ( P<0.05). 2 162 HEV infected patients were grouped based on HEV RNA positivity. The proportion of anti-HEV IgM single positive, IgG single positive, IgM+IgG double positive, and antibody negative patients in the HEV RNA positive group were 5.42% (18/332), 3.62% (12/332), 90.36% (300/332), and 0.60% (2/332), respectively. Among them, the proportion of anti-HEV IgM+IgG double positive patients in the HEV RNA positive group was higher than that in the HEV RNA negative group ( χ2=302.87, P<0.001), while the proportion of anti-HEV IgG single positive ( χ2=174.36, P<0.001) and anti-HEV antibody negative patients ( χ2=59.28, P<0.001) were lower than that in the HEV RNA negative group, both of which were statistically significant ( P<0.001). In addition, the positive rates of HEV RNA in anti-HEV IgM positive, IgG positive, and antibody negative patients were 29.23% (318/1 088), 17.59% (312/1 774), and 0.65% (2/306), respectively. Conclusion:The HEV infection rate among patients declined in 2023. HEV infection is age-related, with older individuals being more susceptible. Abnormal liver function and jaundice were commonly observed during HEV infection. It is crucial to note that the absence of anti-HEV specific antibodies cannot rule out HEV infection; therefore, additional testing for HEV RNA and/or HEV Ag is necessary for accurate diagnosis.

Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.

It dified framework of health system resilience analysis.The research integrates practical elements from the case of the online pandemic material procurement and allocation hall in Nanjing,categorizing the resilience-building of local health systems via informatization into two distinct dimensions:static foundation and dynamic endowment.It conducts an in-depth examination of the logical pathways that leverage informatization to bolster resilience,and further investigates the inherent advantages and potential areas for optimization within informatization.The findings suggest that the synergistic empowerment of both static foundation and dynamic endowment effectively amplifies the risk defense capability and resilience of local health systems.

Information collaboration is an important realisation path to deepen the reform of the medical and health system and to promote the collaborative development and governance of the"Three Medicine"during the"14th Five-Year Plan"period.It employs the SFIC model and makes appropriate modifications to it.The analytical framework comprises six elements:"initial conditions-external environment-catalytic leadership-institutional de-sign-collaborative process-results feedback".This framework is used to dissect the current collaborative dilemma in the"Three Medicine"information collaboration and governance.Based on this analysis,an optimized path for infor-mation collaborative governance is proposed:consolidating the foundation of"Three Medicine"information collabora-tion,enhancing the catalytic leadership capability of meta-governance,optimizing the institutional design of informa-tion life-cycle governance,reshaping the information collaboration process,and focusing on the evaluation feedback mechanism.

OBJECTIVE To explore the lipid-regulating mechanism of the classic prescription Zexie Decoction on hyperlipidemia model mice.METHODS ELISA method was used to detect the four blood lipid indexes,liver function indicators and cholesterol acyltransferase levels in serum.HE and Oil Red O staining were used to determine the pathology of liver tissue.Network pharmacology was used to predict the lipid-lowering related targets of Zexie Decoction,and the GO function and KEGG pathway enrichment analyses of the intersection targets were realized.PCR chip technology was used to detect the target genes for network pharmacology screening,and qPCR and Western blot were used to detect gene and protein expression levels.RESULTS Zexie Decoction significantly regula-ted the four blood lipid indexes in hyperlipidemia model mice,improved the increase in liver damage indicators caused by high lipids,and had a reverse regulatory effect on the key enzymes HMGR and CYP7A1 of lipid metabolism and the lipid transporters ABCA1 and Apo-A1 in liver tissue.HE and Oil Red O staining showed that Zexie Decoction improved the pathological morphology of liver tissue,reduced lipid deposition in liver tissue,and significantly decreased the positive area ratio(P<0.01).The PCR chip obtained 44 re-verse-regulated genes,GO functional enrichment analysis obtained 266 entries,and KEGG pathway enrichment analysis screened 99 signaling pathways.The results of qPCR and Western blot showed that Zexie Decoction significantly downregulated the expression of PIK3CG,AKT1,and IL-6 genes(P<0.05,P<0.01),upregulated the expression of ABCG1 gene(P<0.05),downregulated PI3Kinase p110β,p-AKT(Ser473)and SREBP-1c protein expression levels(P<0.01),and reversely regulated miR21-5p(P<0.01).CONCLUSION Zexie Decoction has a significant regulatory effect on lipid metabolism in hyperlipidemia model mice and can improve liver damage caused by hyperlipidemia.Its lipid-regulating effect may be related to regulating cholesterol metabolism and transport in the body,and is closely linked to the miR21/PI3K-Akt/SREBP pathway.The lipid-regulating effect of the whole formula of Zexie Decoction is better than that of a single herb.

Diabetic foot(DF),a primary chronic complication of diabetes mellitus,contributes to a major disability and mortality in diabetic patients.DF is diagnosed mainly depending not only on clinical manifestations,signs,and related inspection,but also on recently emerging diagnostic means:biological markers.Inflammatory biomarkers are preferably used for its superiority in DF early diagnosis.In recently years,thanks to advancements of biological technologies,biomarkers such as procalcitonin(PCT),C-reactive protein(CRP),interleukins(ILs),and tumor necrosis factor-alpha(TNF-α)have been comprehensively used in DF diagnosis.Moreover,biomarkers of genomics,proteomics,metabolomics,and metagenomics have been employed as well.In this review,we aim to com-prehensively review the role of serum biomarkers in DF diagnosis and risk stratification,elaborating on the current research status in applying serum biomarkers for DF prevention,diagnosis,and prognosis assessment.

Objective To explore the current situation and influencing factors that affect stroke specialist nurses in Henan Province and provide a reference for targeted interventions.Methods A total of 140 stroke specialist nurses from over 103 general hospitals in Henan Province were selected to participate the study with the convenience sampling method,between March and November 2022.General data questionnaire and the core competence evaluation questionnaire of stroke specialist nurses in Henan Province were employed for the investigation.Influencing factors were analysed by binary Logistic regression.Results A total of 134 specialist nurses responded to the survey.The findings revealed that the total score of core competence in the stroke specialist nurses was 279.5(257.0,306.0).Among the dimensions of core competence,the clinical thinking ability scored the highest at 4.4(4.0,4.9),while professional development ability scored the lowest at 3.7(3.4,4.0).Cluster analysis categorised that the scores＜250 were of a low score group(n=26)and those≥250 were of a high score group(n=108).Binary Logistic regression analysis indicated that education level,years working as a stroke specialist nurse,and the working experience in the stoke fast track team of A&E were the factors that influenced the core competence of the stroke specialist nurses in Henan Province(all P＜0.05).Conclusions This study has found that the core competence of stroke specialist nurses in Henan Province is at an acceptable level.Education,years working as a stroke specialist nurse and the working experience in the fast track team of A&E are the primary factors which influence core competence.Nursing managers should devise supportive programs to target the influencing factors and to improve the core competence of the stroke specialist nurses.