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 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.

Objective:To analyze the clinical characteristics of acute leukemia complicated with arterial ischemic stroke (AIS) in children, and to provide a reference for its diagnosis, treatment, and prognosis.Methods:Case summary.This report presents three children with acute leukemia complicated with AIS admitted to the First Affiliated Hospital of Zhengzhou University from April 2015 to August 2024, and reviews the relevant literature at home and abroad to analyze the clinical characteristics, pathogenesis, and treatment of the disease.Results:All three cases were female, aged 4-14 years; two had acute lymphoblastic leukemia (ALL) and one had acute myeloid leukemia (AML). Hemiparesis was the main presenting symptom in all cases, occurring during induction therapy.Symptoms resolved completely after anticoagulant and symptomatic treatment, with no sequelae and good prognoses.A literature search identified 8 reported cases of pediatric acute leukemia complicated with AIS.Combining these with our 3 cases yielded a total of 11 cases: 5 males and 6 females; median age 7 years (range 2-15 years); 8 with ALL and 3 with AML.Clinically, all presented with hemiparesis.Vascular imaging in 6 patients showed involvement of the middle cerebral artery.In 8 cases of ALL complicated with AIS, the event occurred during induction therapy, which was considered associated with the use of Asparaginase and intrathecal Cytarabine.Anticoagulation was the main treatment.Symptoms resolved in 10 cases, 3 had neurologic sequelae, and 1 died.Conclusions:AIS complicating acute leukemia in children is often the first clinical manifestation of hemiparesis, which mainly occurs in the process of induction therapy, and may be related to the adverse reactions of chemotherapy drugs such as hypercoagulable state of the blood caused by mendonuclease and insufficient cerebral perfusion caused by intrathecal injection of Cytarabine, etc.; once hemiplegic neurological symptoms appear in the process of induction therapy of children′s acute leukemia, it is highly suspicious of the concomitant AIS, and earlycranial magnetic resonance examination can help to clarify the diagnosis.Although most symptoms resolve with treatment, some patients may develop neurological sequelae.

Objective:To understand the characteristics of faculty in high-level public health schools in China, and analyze the differences in age, area and school level.Methods:Based on the internet information, the faculty information of 18 high-level public health schools was collected for a descriptive analysis on faculty characteristics.Results:There were 1 642 faculty members in the schools of public health in China, in whom 51.8% were women, 92.8% had doctorate, 32.4% had postdoctoral experience and 56.8% were former students staying to teach. The average age of the faculty members was (45.6±9.8) years. Meanwhile the top three study subjects were epidemiology and health statistics (31.0%), occupational health and environmental sanitation (16.5%), and health toxicology (16.3%). In the faculty members aged >40 years, 90.2% had doctorate, 62.6% were former students staying to teach, and 24.7% had no educational background of public health. The proportions of faculty members aged ≤40 years in the three groups mentioned above were 98.2%, 45.8% and 39.1% respectively. In terms of study subject, big data study were mainly conducted in the schools with top subject ranking and the schools in developed areas.Conclusions:The public health faculty was characterized by cross education background and high capability. The study subjects and sub-disciplines varied with schools and areas.

Although cancer immunotherapy has made great strides in the clinic, it is still hindered by the tumor immunosuppressive microenvironment (TIME). The stimulator of interferon genes (STING) pathway which can modulate TIME effectively has emerged as a promising therapeutic recently. However, the delivery of most STING agonists, specifically cyclic dinucleotides (CDNs), is performed intratumorally due to their insufficient pharmacological properties, such as weak permeability across cell membranes and vulnerability to nuclease degradation. To expand the clinical applicability of CDNs, a novel pH-sensitive polycationic polymer-modified lipid nanoparticle (LNP-B) system was developed for intravenous delivery of CDNs. LNP-B significantly extended the circulation of CDNs and enhanced the accumulation of CDNs within the tumor, spleen, and tumor-draining lymph nodes compared with free CDNs thereby triggering the STING pathway of dendritic cells and repolarizing pro-tumor macrophages. These events subsequently gave rise to potent anti-tumor immune reactions and substantial inhibition of tumors in CT26 colon cancer-bearing mouse models. In addition, due to the acid-sensitive property of the polycationic polymer, the delivery system of LNP-B was more biocompatible and safer compared with lipid nanoparticles formulated with an indissociable cationic DOTAP (LNP-D). These findings suggest that LNP-B has great potential in the intravenous delivery of CDNs for tumor immunotherapy.

Objective:To understand the characteristics of faculty in high-level public health schools in China, and analyze the differences in age, area and school level.Methods:Based on the internet information, the faculty information of 18 high-level public health schools was collected for a descriptive analysis on faculty characteristics.Results:There were 1 642 faculty members in the schools of public health in China, in whom 51.8% were women, 92.8% had doctorate, 32.4% had postdoctoral experience and 56.8% were former students staying to teach. The average age of the faculty members was (45.6±9.8) years. Meanwhile the top three study subjects were epidemiology and health statistics (31.0%), occupational health and environmental sanitation (16.5%), and health toxicology (16.3%). In the faculty members aged >40 years, 90.2% had doctorate, 62.6% were former students staying to teach, and 24.7% had no educational background of public health. The proportions of faculty members aged ≤40 years in the three groups mentioned above were 98.2%, 45.8% and 39.1% respectively. In terms of study subject, big data study were mainly conducted in the schools with top subject ranking and the schools in developed areas.Conclusions:The public health faculty was characterized by cross education background and high capability. The study subjects and sub-disciplines varied with schools and areas.

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.

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.

Cold tumors have a poor response to tumor immunotherapy due to low immune cell infiltration and the ability to evade immune attacks. Converting cold tumors into hot tumors can enhance the clinical effectiveness of anti-tumor immunotherapy. High-intensity focused ultrasound (HIFU) as a non-invasive treatment can damage tumors through mechanical effects, but there is a lack of research on its cytotoxic mechanisms at the cellular level and its role in inducing anti-immune responses. In this study, the role of HIFU in triggering tumor ferroptosis by disrupting the GSH/GSSG balance through mechanochemical action and the associated anti-tumor immune priming effect were investigated. The use of a nano-enhancer loaded with PFOB combined with HIFU could enhance ferroptosis in triple-negative breast cancer at a specific stage of tumor growth (UTGR = 0) while promoting the conversion of a cold tumor into a hot tumor, thereby improving the immune response. Overall, this provides valuable guidance for the clinical application of HIFU in tumor immunotherapy.