Objective To explore the impact of non-pharmaceutical interventions(NPIs)on the prevalence of respiratory pathogens in adults,and to understand the scientific value and long-term effect of NPIs.Methods A retrospective study was conducted to collect the clinical data and laboratory examination data of adult patients with respiratory tract infection in West China Hospital,Sichuan University from 2017 to 2023,and the patho-gen,population,season and other aspects were analyzed in different periods.The analysis period included 2017 to 2019(before the implementation of NPIs),2020 to 2022(during the implementation of NPIs),and January to December 2023(after the implementation of NPIs).Results A total of 33 068 adult patients with respira-tory tract infection were included.The overall prevalence of 8 adult respiratory pathogens from 2017 to 2019(26.95％)was higher than that from 2020 to 2022(8.70％),and the difference was statistically significant(P＜0.05).There were significant differences in the prevalence of pathogens among different genders,ages and seasons in the first,middle and last three periods of NPIs implementation(P＜0.05).Before the imple-mentation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March each year.With the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from January to March 2020(10.09％),October to December 2021(9.32％),July to September 2022(15.23％),respectively.After the implementation of NPIs,the seasonal peak of respiratory prevalence appeared from October to December 2023(21.20％).Among the 8 pathogens,the change of prevalence of influenza A virus H1N1(2009)was the most obvious,and the prevalence was 17.42％,0.00％and 6.99％before,during and after the implementation of NPIs,respectively.Conclusion Due to the influence of NPIs and other factors,the epidemic characteristics of respiratory pathogens have changed from 2017 to 2023.Attention to the emerging characteristics of patho-gen prevalence is important for the prevention,diagnosis and control of respiratory infectious diseases during public health emergencies.

In recent years,the incidence and mortality rates of cancer have been rising steadily,with drug resistance becoming a major challenge in cancer treatment.Traditional monolithic treatment approaches have proven ineffective in addressing the heterogeneity of tumor cells and their multiple resistance mechanisms,leading to suboptimal therapeutic outcomes.Drug combination therapy,as a critical strategy,aims to enhance efficacy and delay the development of drug resistance through the synergistic action of multiple drugs.However,conventional methods for screening drug combinations are time-consuming and costly.With the accumulation of data and advances in computational methods,artificial intelligence,particularly deep learning,has demonstrated great potential in predicting synergistic drug combinations for cancer treatment.Artificial intelligence technologies allow researchers to efficiently predict whether drug combinations exhibit synergistic effects,reducing experimental costs and identifying novel potential synergistic combinations.Nevertheless,artificial intelligence models still face challenges such as poor interpretability,insufficient feature integration,and a lack of labeled data.This paper provided a comprehensive review of the advancements in artificial intelligence applications for predicting synergistic drug combinations in cancer therapy.First,it discussed the mechanisms of drug resistance and the challenges of combination therapy,highlighting the limitations of traditional drug combination screening methods.Then,it presented the advantages and disadvantages of various deep learning models used for predicting synergistic drug combinations,including feedforward neural networks,graph neural networks,autoencoders,visible neural networks,Transformer and their extended models.In response to the common issues in current deep learning models,this review proposed several solutions,such as leveraging multimodal data to enhance model generalization,employing transfer learning and multitask learning to address data scarcity,and designing more interpretable models to facilitate clinical application.In the future,the field of synergistic drug combination prediction is expected to benefit from the development of standardized synergy metrics,improvements in model interpretability,integration of multimodal data,and effective handling of data limitations,further advancing the transition of models from laboratory research to clinical practice,ultimately providing more effective solutions for cancer treatment.

AIM:To investigate whether Miaoyao Tongfeng prescription(MTP)attenuates oxidative stress in-jury in gouty arthritis rats by regulating Kelch-like epicklorohydrin-related protein 1(Keap1)/nuclear factor E2-related fac-tor 2(Nrf2)signaling pathway.METHODS:Fifty male Sprague-Dawley rats were randomly divided into control group,model group,MTP group,Nrf2 inhibitor all-trans retinoic acid(ATRA)group and MTP+ATRA group.The 3%potassium oxonate solution(10 mL/kg)was injected intraperitoneally twice a day for 1 week,and then 0.2 mL sodium urate suspen-sion(25 g/L)was injected into the right knee joints to establish the gouty arthritis model.All rats were sacrificed 48 h af-ter modeling.Grades of swelling in the knee joints were evaluated,and HE staining was used to observe the pathological changes of knee joints.Serum levels of superoxide dismutase(SOD),malondialdehyde(MDA)and interleukin-1β(IL-1β)were detected using kits.The mRNA levels of Nrf2,Keap1,heme oxygenase-1(HO-1),IL-1β,NAD(P)H:quinone oxidoreductase 1(NQO1)in the synovial membrane of the knee joints were detected by qRT-PCR.Western blot was used to detect the expression of Nrf2,Keap1 and NQO1 in the synovial membrane of the knee joints.RESULTS:Compared with model group,MTP significantly reduced the degree of knee joint swelling,and attenuated the pathological injury of knee synovial membrane.It also inhibited the expression of MDA and IL-1β,but increased the expression of SOD.The mRNA expression of HO-1,and the mRNA and protein expression of Nrf2 and NQO1 in synovium were up-regulated,while the levels of IL-1β mRNA,Keap1 mRNA and Keap1 protein were down-regulated.CONCLUSION:Miaoyao Tongfeng prescription shows promise in the prevention and treatment of gouty arthritis through regulating Nrf2 and down-stream anti-oxidation genes.

Objective:To explore the effects of pre-transplant controlling nutritional status(CONUT)and post-transplant minimal residual disease(MRD)on prognosis of patients with multiple myeloma(MM)after autologous hematopoietic stem cell transplantation(auto-HSCT).Methods:The clinical data of 79 patients who received auto-HSCT from 2011 to 2020 in The First Affiliated Hospital of Chongqing Medical University were retrospectively analyzed.The patients were divided into Low-CONUT group(n=62)and High-CONUT group(n=17)according to whether the CONUT score was less than 5.The differences in clinical features,hematopoietic reconstruction,adverse reactions,efficacy and survival between the two groups were compared.In addition,the prognostic risk factors were analyzed and verified by time-dependent ROC curve.Results:The proportions of male patients and bone marrow plasma cells＞30％at initial diagnosis in High-CONUT group were both higher than those in Low-CONUT group(both P＜0.05).While,there were no significant differences in hematopoietic reconstruction and adverse reactions(＞grade 2)between the two groups.The complete response(CR)rate and CR+very good partial response(VGPR)rate before transplantation in Low-CONUT group were both significantly higher than those in High-CONUT group(both P＜0.05).After 3 months of transplantation,the CR+VGPR rate still remained an advantage in Low-CONUT group compared with High-CONUT group(P＜0.01),but CR rate did not(P＞0.05).The overall survival(OS)and progression-free survival(PFS)in Low-CONUT group were both superior to those in High-CONUT group(both P＜0.05).Low CONUT score(0-4)before transplantation and negative MRD at 6 months after transplantation were favorable factors affecting OS and PFS(both P＜0.05),while the International Myeloma Working Group(IMWG)high-risk at initial diagnosis and lactate dehydrogenase(LDH)level＞250 U/L before transplantation were only risk factors for PFS(both P＜0.05).Time-dependent ROC curve analysis showed that pre-transplant CONUT score and MRD status at 6 months after transplantation could independently or jointly predict 1-and 2-year OS and PFS,and the combined prediction was more effective.Conclusion:The combination of pre-transplant CONUT and post-transplant MRD can better predict the prognosis of MM patients.

Objective:To analyze the risk factors for late-onset hemorrhagic cystitis(LOHC)after allogeneic hematopoietic stem cell transplantation(allo-HSCT),the risk factors for the progression of LOHC to severe LOHC,and the effect of LOHC on survival.Methods:The clinical data of 300 patients who underwent allo-HSCT at the First Affiliated Hospital of Chongqing Medical University from January 2015 to December 2021 were retrospectively analyzed.The relevant clinical parameters that may affect the occurance of LOHC after allo-HSCT were selected for univariate and multivariate analysis.Then,the differences in overall survival(OS)and progression-free survival(PFS)between different groups were analyzed.Results:The results of multivariate analysis showed that the independent risk factors for LOHC after allo-HSCT were as follows:age≤45 years old(P=0.039),intensified conditioning regimen with fludarabine/cladribine and cytarabine(P=0.002),albumin ≤ 30 g/L on d30 after transplantation(P=0.007),CMV-DNA positive(P=0.028),fungal infection before transplantation(P=0.026),and the occurrence of grade Ⅱ-Ⅳ aGVHD(P=0.006).In the transplant patients who have already developed LOHC,the occurance of LOHC within 32 days after transplantation(P=0.008)and albumin ≤ 30 g/L on d30 after transplantation(P=0.032)were independent risk factors for the progression to severe LOHC.The OS rate of patients with severe LOHC was significantly lower than that of patients without LOHC(P=0.041).Conclusion:For the patients aged ≤ 45 years old and with intensified conditioning regimen,it is necessary to be vigilant about the occurrence of LOHC;For the patients with earlier occurrence of LOHC,it is necessary to be vigilant that it develops into severe LOHC.Early prevention and treatment of LOHC are essential.Regular monitoring of CMV-DNA and albumin levels,highly effective antiviral and antifungal therapies,and prevention of aGVHD are effective measures to prevent the occurrence and development of LOHC.

Objective:To analyze the risk factors of Epstein-Barr virus(EBV)infection after allogeneic hematopoietic stem cell transplantation(allo-HSCT)and its impact on survival.Methods:The clinical data of 347 patients who underwent their first allo-HSCT in our hospital from January 2014 to June 2021 were retrospectively analyzed.Patients were divided into EBV(n=114)and Non-EBV(n=233)groups according to whether they were infected with EBV.The incidence of EBV infection after allo-HSCT was calculated,and the risk factors of EBV infection were analyzed.Results:A total of 114(32.8％)patients presented EBV infection(all peripheral blood EBV-DNA were positive).EBV infection occurred in 88 patients within 100 days after transplantation,which accounted for 77.2％of all patients with EBV infection.5 cases(1.44％)were confirmed as post-transplant lymphoproliferative disorder(PTLD).The median onset time of patients was 57(7-486)days after transplantation.Multivariate analysis showed that the use of ATG/ATG-F,occurrence of CMV viremia,and grade Ⅲ-Ⅳ aGVHD were risk factors for EBV infection.Furthermore,compared to BUCY,the use of intensified preconditioning regimens containing FA/CA was significantly increased the risk of EBV infection.Conclusion:EBV infection is a common complication after allo-HSCT.Intensified preconditioning regimens,use of ATG/ATG-F,CMV viremia and grade Ⅲ to Ⅳ aGVHD increase the risk of EBV infection after allo-HSCT.

Objective:To analyze the risk factors of primary poor graft function (PGF) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with myeloid malignancies and the impact of primary PGF on survival. Methods:The clinical data of 146 patients with myeloid malignancies who underwent allo-HSCT in our hospital from January 2015 to December 2021 were retrospectively studied. Some relevant clinical parameters which may affect the development of primary PGF after allo-HSCT were selected for univariate and multivariate analysis,as well as performed survival analysis. Results:A total of 9 patients (6.16％) were diagnosed with primary PGF,and their medium age was 37(28-53) years old. Among them,1 case underwent matched sibling donor HSCT,1 case underwent matched unrelated donor HSCT,and 7 cases underwent HLA-haploidentical related donor HSCT. Moreover,5 cases were diagnosed as cytomegalovirus (CMV) infection,and 3 cases as Epstein-Barr virus (EBV) infection. Univariate and multivariate analysis showed that CD34+cell dose<5×106/kg and pre-transplant C-reactive protein (CRP)>10 mg/L were independent risk factors for occurrence of the primary PGF after allo-HSCT in patients with myeloid malignancies. The 3-year overall survival (OS) rate of primary PGF group was 52.5％,which was significantly lower than 82.8％ of good graft function group (P<0.05). Conclusion:Making sure pre-transplant CRP≤10 mg/L and CD34+cell dose ≥5×106/kg in the graft may have an effect on preventing the occurrence of primary PGF after allo-HSCT. The occurrence of primary PGF may affect the OS rate of transplant patients,and early prevention and treatment are required.

Objective:This study aims to explore the synergistic effects of DIP and other medical insurance supply-side policies.Method:City A that has piloted DIP reform was set as the treatment group,and City B without reform was set as the control group.A total of 1 120 public medical institution samples from 2019 to 2022 were collected.The total medical expenses during hospitalization and some structural expenses were analyzed using DID method.Result:DIP had a significant inhibitory effect on the medical expenses,and the expenses of checkups and examinations during hospitalization in city A,but had no impact on the drug and the material expenses during hospitalization.Conclusion:DIP played a significant cost control role and effectively controlled the total medical expenses during hospitalization.The synergistic effects of price adjustment of medical services policy and national centralized drug/material procurement policy on cost control were insufficient.DIP synergized with other supply-side policies to promote rational medical cost structure.It is suggested that medical insurance departments should focus on the synergistic effects of medical insurance supply-side policies to jointly improve the efficiency of medical insurance fund utilization.

Objective:Analyze the medical reimbursement rate and influencing factors under the DIP payment method to refine the DIP payment policy,promote the optimization of internal operations in medical institutions,and ensure reasonable compensation.Methods:Based on the 2022 DIP fund settlement data from 196 medical institutions in City A,the study used multiple linear regression to analyze the factors affecting medical reimbursement rate and conducted a heterogeneity analysis for medical institutions of different levels.Results:The medical reimbursement rate for medical institutions in City A in 2022 was 103.32%.Medical institutions with lower CMI standardized inpatient costs,lower rates of deviation cases,tertiary care institutions,lower proportion of level-four surgeries,and lower ratios of resident to employee medical insurance cases have higher medical reimbursement rate(P<0.05).Heterogeneity analysis reveals that therates of deviation cases,the proportion of primary care diseases,the ratio of resident to employee medical insurance cases,and the low-standard admission rate have different impacts on medical institutions of different levels.Conclusion:Medical insurance departments should improve policies for primary care diseases,dynamically adjust disease catalogs and payment standards,optimize funding levels and institutional coefficients,and increase penalties for violations to ensure effective use of funds.Medical institutions need to strengthen their understanding of policies,focus on refined internal management,promote standardized and rational diagnosis and treatment through performance assessment transformation,and leverage their own advantages in medical services to reasonably increase the medical reimbursement rate.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.