Objective:To investigate the risk factors of pediatric sepsis-induced coagulopathy（pSIC），and to construct a nomogram prediction model for early prediction of pSIC.Methods:Using a cross-sectional retrospective cohort design，children with sepsis who were hospitalized in PICU of the Second People's Hospital of Liaocheng Subsidiary to Shandong First Medical University from January 2017 to December 2023 were selected as the study objects，and the diagnosis of sepsis met the diagnostic criteria for childhood sepsis of the 2015 edition.According to the diagnostic criteria of pSIC，the children with sepsis were divided into common sepsis group and pSIC group.The clinical data of both groups were compared，such as general condition，inflammatory indicators，coagulation indicators，sequential organ failure assessment（pSOFA），pSIC score，PICU duration，etc.The risk factors of pSIC were initially screened by Lasso regression analysis，and the independent risk factors were screened by multivariate Logistic regression analysis.R software was used to construct the risk prediction nomogram and evaluate the model.Results:A total of 150 children with sepsis were included in the study，including 121 in the common sepsis group and 29 in the pSIC group.Lasso regression and multivariate Logistic regression analysis showed that pSOFA，prothrombin time（PT），alanine aminotransferase（ALT），blood urea nitrogen（BUN），mean platelet volume/platelet（MPV/PLT）and pediatric critical illness score(PCIS) were independent risk factors for pSIC（all P<0.05）.Since the sources of the pSIC score overlaped with those of pSOFA and PT, only four indicators including ALT，BUN，MPV/PLT and PCIS were used to construct a nomogram model for predicting pSIC.The consistency index of the nomogram model was 0.98，and the area under the receiver operating characteristic curve was 0.975（95% CI 0.952-0.999）.The calibration curve was shown as a straight line with slope close to 1，indicating that the nomogram model had good accuracy in predicting pSIC.The clinical decision curve indicated that the nomogram model had good clinical applicability. Conclusion:pSOFA，PT，ALT，BUN，MPV/PLT and PCIS were all independent risk factors for pSIC.The risk prediction nomogram model of pSIC based on ALT，BUN，MPV/PLT and PCIS can predict the occurrence of pSIC，and provide reference for early clinical recognition and intervention.

Objective:Interpret the key differences between the China Health-care Security Diagnosis Related Groups(CHS-DRG)2.0 and CHS-DRG 1.1,and provide reference for optimizing management strategies in medical institutions.Methods:Text analysis was used to import the CHS-DRG 2.0 and 1.1 grouping scheme dictionary data into the SQL database in a structured table format using SQL Server 2014.The key differences between the two schemes in grouping structure,grouping rules,grouping results,and other aspects were identified.Results:CHS-DRG 2.0 version added 26 groups,deleted 3 groups,and refined 10 groups into 20 groups for 14 clinical specialties at the ADRG level compared to CHS-DRG 1.1.Some group codes,names,and grouping rules were adjusted;Adjusted some grouping conditions and grouping results at the DRG level.Conclusion:CHS-DRG 2.0 version has improved grouping efficiency compared to CHS-DRG 1.1,solved some clinical bottleneck problems,and standardized the role of clinical diagnosis in grouping from the perspective of resource consumption.However,it has not completely solved the grouping problems of multi disease co treatment,multi disease treatment,and combined surgery.The adjustment of DRG weights and rates,the follow-up of related supporting policy reforms,and the negative effects of DRG will still pose challenges for medical institutions.

Objective To investigate the effects of circular RNA APLP2(circAPLP2)on the proliferation,migra-tion,and invasion of human colorectal cancer(CRC)cell lines by regulating microRNA-455-3p(miR-455-3p)/Stathmin1(STMN1)axis.Methods RT-qPCR was used to detect the expression of circAPLP2,miR-455-3p and STMN1 in CRC and normal colorectal cell lines and the optimal cell line was screened.Proliferation,migra-tion and invasion were detected by MTT assay,scratch assay and Transwell assay,respectively.The relationship between circAPLP2 and miR-455-3p,between miR-455-3p and STMN1 was confirmed by dual Lucifer's reporter gene assay.Results CircAPLP2 and STMN1 were highly expressed in CRC cells,miR-455-3p showed a low ex-pression.Knocking down circAPLP2 resulted in a decrease in rate of survival and of scratch healing rate and in-vasion of SW620 cells,An up regulation of miR-455-3p expression,a down regulation of STMN1,cyclin D1,N-cadherin protein expression and an up regulation of E-cadherin protein expression were also found(P<0.05).Inhibition of miR-455-3p expression reversed inhibitory effect of knocking down circAPLP2 on SW620 cell prolif-eration,migration,and invasion,up-regulated the STMN1,cyclin D1 and N-cadherin protein expression,and down-regulation of E-cadherin protein expression(P<0.05).Dual luciferase reporter gene assay showed that circAPLP2 targeted at negative regulation of miR-455-3p expression,while miR-455-3p targeted at negative reg-ulation of STMN1 expression.Nude mouse transplantation experiment found that knocking down circAPLP2 affect-ed the growth of transplanted tumors,while miR-455-3p expression was up-regulated and STMN1 expression was down-regulated(P<0.05).Conclusions CircAPLP2 inhibits the proliferation,migration and invasion of colorectal cancer cell lines by regulating the miR-455-3p/STMN1 axis.

Objective To explore the relationship between the duration of breastfeeding and re-fractive error in preschool children.Methods A cross-sectional survey was conducted to investigate the visual acuity of 2,915 preschool children aged 3 to 6 years using a questionnaire.Results After adjusting for potential confounding factors such as parental education level,premature birth,birth weight,family structure,only-child status,screen-watching,outdoor activity time,and sleep time u-sing a Logistic regression equation,compared with a breastfeeding duration of less than 6 months,a breastfeeding duration of 6 to 12 months(OR=0.683,95％CI:0.516 to 0.903)and＞12 months(OR=0.628,95％CI:0.451 to 0.874)were found to be protective factors against refractive error.Further stratified analysis revealed that a breastfeeding duration of 6 to 12 months(OR=0.640,95％CI:0.459 to 0.892)and＞12 months(OR=0.519,95％CI:0.347 to 0.777)had a protective effect on the visual acuity of preschool children aged 3 to 4 years.Conclusion The duration of breastfeed-ing is a protective factor against refractive error in preschool children aged 3 to 4 years,and prolonging the duration of breastfeeding is beneficial for reducing the occurrence of refractive error.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.

This experiment was conducted to study the effects of replacing feed protein by Herme-tia illucens larvae meal on immune function,intestinal morphology and microflora of Sichuan white geese.A total of 64 healthy 1-day-old Sichuan white geese were randomly allocated into 4 groups with 4 replicates in each group and 4 geese in each replicate,namely the control group,the 2％HILM,4％HILM and 8％HILM groups fed diets contained 0％,2％,4％and 8％of HILM,re-spectively.The experimental period was 40 days.The results showed that compared with the con-trol group,8％HILM increased the levels of serum IgG1,IgG2a and complement C3,and the difference was statistically significant(P＜0.01).4％HILM significantly increased the expression level of CD4(P＜0.05),and 8％HILM significantly increased the expression level of IL-10(P＜0.05).The ratio of villus length to crypt depth(VH/CD)in the jejunum and ileum in 4％HILM group was significantly increased(P＜0.05).The SIgA level of jejunum was significantly increased in all HILM replacement groups(P＞0.05).The abundance of Bacteroides in 4％HILM group were extremely significantly increased(P＜0.01),and the abundance of Bilophila and Bilophila wadsworthia were significantly decreased in all HILM replacement groups(P＜0.05).In conclu-sion,HILM can enhance the immune function of Sichuan white geese,improve the intestinal mor-phology of jejunum and ileum,enhance the local mucosal immunity of jejunum,increase the abun-dance of beneficial bacteria in cecum and decrease the abundance of harmful bacteria in cecum,and protect intestinal health.

Danggui Buxue decoction(DBD)is a classic prescription with immunomodulatory and hematopoietic effects.Previous studies have shown the DBD has potential to be used as an oral im-mune booster.However,its immunomodulatory effects and mechanism of action have not been thoroughly studied,especially the protective mechanism of immunomodulatory regulation in the state of immunosuppressive is still unclear.The aim of this study was to explore the protective mechanism of DBD in the immunosuppressive state using network pharmacology combined with animal experiments verification.The active components,core targets and signaling pathways of DBD in treating immunosuppression were obtained using network pharmacology tools.On this ba-sis,the active components of DBD were identified using HPLC-MS,and in vivo studies were con-ducted at the same time.The key active components of DBD obtained using network pharmacology included quercetin,kaempferol and formononetin.The core targets included TP53,RELA,TNF,AKT1,and IL-6.KEGG pathway enrichment analysis showed that phosphoinositide 3-kinase(PI3K)-protein kinase B(AKT)may play an important role in the treatment of immunosuppres-sive diseases using DBD.Molecular docking confirmed that each core target had good binding activ-ity with its corresponding compounds.Animal experiments showed that after DBD intervention,the mRNA gene and protein expression of RELA,TNF,and IL-6 in the serum was significantly down-regulated.The mRNA expression of PI3K and AKT in the ileum and PI3K protein expression were also downregulated.In conclusion,DBD exerts its role in treating immunosuppressive diseases by regulating the PI3K-AKT signaling pathway.

ObjectiveTo understand the infection characteristics of multidrug-resistant organisms (MDROs) in hospitalized patients in a tertiary sentinel hospital in Shanghai, so as to provide an evidence for the development of targeted prevention and control measures. MethodsData of MDROs strains and corresponding medical records of some hospitalized patients in a hospital in Shanghai from 2021 to 2023 were collected, together with an analysis of the basic information, clinical treatment, underlying diseases and sources of sample collection. ResultsA total of 134 strains of MDROs isolated from hospitalized patients in this hospital were collected from 2021 to 2023 , including 63 strains of methicillin-resistant Staphylococcus aureus (MRSA), 57 strains of carbapenem-resistant Acinetobacter baumannii (CRAB), and 14 strains of carbapenem-resistant Klebsiella pneumoniae (CRKP). Of the 134 strains, 30 strains were found in 2021, 47 strains in 2022 and 57 strains in 2023. The male-to-female ratio of patients was 2.05∶1, with the highest percentage (70.90%) in the age group of 60‒<90 years. The primary diagnosis was mainly respiratory disease, with lung and respiratory tract as the cheif infection sites. There was no statistically significant difference in the distribution of strains between different genders and infection sites (P>0.05). However, the differences in the distribution of strains between different ages and primary diagnosis were statistically significant (P<0.05). Patients who were admitted to the intensive care unit (ICU), had urinary tract intubation, were not artery or vein intubated, were not on a ventilator, were not using immunosuppresants or hormones, and were not applying radiotherapy or chemotherapy were in the majority. There was no statistically significant difference in the distribution of strains for whether received radiotherapy or chemotherapy or not (P>0.05), while the differences in the distribution of strains with ICU admission history, urinary tract intubation, artery or vein intubation, ventilator use, and immunosuppresants or hormones use or not were statistically significant (all P<0.05). The type of specimen was mainly sputum, the hospitalized ward was mainly comprehensive ICU, the sampling time was mainly in the first quarter throughout the year, the number of underlying diseases was mainly between 1 to 2 kinds, the application of antibiotics ≥4 kinds, and those who didn’t receive any surgery recently accounted for the most. There were statistically significant differences in the distribution of strains between different specimen types, wards occupied and history of ICU stay (P<0.05), but no statistically significant difference in the distribution of strains between different sampling times, number of underlying diseases and types of antibiotics applied (P>0.05). ConclusionThe situation of prevention and control on MDROs in this hospital is still serious. Focus should be placed on high-risk factors’ and infection monitoring and preventive measures should be strengthened to reduce the incidence rate of MDROs infection.

Objective:Interpret the key differences between the China Health-care Security Diagnosis Related Groups(CHS-DRG)2.0 and CHS-DRG 1.1,and provide reference for optimizing management strategies in medical institutions.Methods:Text analysis was used to import the CHS-DRG 2.0 and 1.1 grouping scheme dictionary data into the SQL database in a structured table format using SQL Server 2014.The key differences between the two schemes in grouping structure,grouping rules,grouping results,and other aspects were identified.Results:CHS-DRG 2.0 version added 26 groups,deleted 3 groups,and refined 10 groups into 20 groups for 14 clinical specialties at the ADRG level compared to CHS-DRG 1.1.Some group codes,names,and grouping rules were adjusted;Adjusted some grouping conditions and grouping results at the DRG level.Conclusion:CHS-DRG 2.0 version has improved grouping efficiency compared to CHS-DRG 1.1,solved some clinical bottleneck problems,and standardized the role of clinical diagnosis in grouping from the perspective of resource consumption.However,it has not completely solved the grouping problems of multi disease co treatment,multi disease treatment,and combined surgery.The adjustment of DRG weights and rates,the follow-up of related supporting policy reforms,and the negative effects of DRG will still pose challenges for medical institutions.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.