Tropical diseases, the transmission of which is affected by multiple natural and social factors, pose a great challenge to global public health, notably in African countries. During the past several decades, China and African countries have continuously collaborated for the control of neglected tropical diseases and malaria, which has become an important part of global South-to-South cooperation and global health governance. This article reviews the history of China-Africa cooperation for tropical diseases control, summarizes the experiences and achievements over the past decade, analyzes the current challenges in the coopera tion, and proposes future recommendations. The China-Africa cooperation has achieved significant progress in the control of tropical diseases, such as malaria, schistosomiasis, and filariasis, and established a China-Africa cooperation network for tropical diseases control. Through the "Three-Step" strategy of China-Africa cooperation, the effectiveness of China's integrated control strategies has been validated in Africa, and the application of China's tropical disease control technologies has been promoted in African disease-epidemic countries. Currently, China-Africa collaboration, however, still experiences multiple realistic challenges, such as insufficient resources, difficulty in technology transfer, and weak primary healthcare systems. In the future, both sides are recommended to further strengthen policy coordination, deepen technological cooperation, innovate cooperation models, aiming to continuously promote the high-quality development of China-Africa cooperation for tropical diseases control.

Objective:To construct an intelligent APP-assisted process assessment mode for standardized residency training and explore its application effect.Methods:Based on the "XUEYIKU" APP platform developed in Peking University Third Hospital, we built a standardized process of process assessment for standardized residency training assisted by intelligent APP and combining both online and offline components. We analyzed the frequency of APP use, satisfaction with the APP, the problems solved by the APP, and the aspects that need to be improved. SPSS 26.0 was used for t-test and Chi-square test. Results:The satisfaction score of teachers with the APP was (7.66±1.86) points. The satisfaction score of professional base teaching directors/process assessment coordinators was higher than that of clinical teachers [(8.28±1.30) vs. (7.42±1.99), P=0.013]. Most residents were satisfied with the APP (67.44%, 29/43), regarded its role in supporting the entire assessment process as important (55.81%, 24/43), and reviewed teacher feedback (65.12%, 28/43). Some teachers indicated that the APP solved problems such as paperless exam scoring (59.00%, 59/100), standardized exam processes (43.00%, 43/100), score statistics (42.00%, 42/100), and score reporting (42.00%, 42/100). The residents believed that the APP resolved issues such as exam notification (44.19%, 19/43), scheduling (41.86%, 18/43), and result feedback (41.86%, 18/43). Both teachers and residents mentioned the need for further strengthening the stability of the APP system and simplifying operational steps. Conclusions:With APP as a link, through the instant transmission and feedback of data, the intelligent APP-assisted process assessment mode drives the reflection and summarization of professional bases, clinical teachers, and residents, and promotes the post competence of residents.

Objective To explore the deeper understanding of the pregnancy and delivery experience of three-child pregnant and matemal women,and to provide a basis for healthcare personnel to provide more systematic,safe,and targeted perinatal healthcare services and care measures for three-child pregnant and matemal women.Methods Purposive sampling method was used to select 17 cases of three-child pregnant and matemal women who were admitted and delivered in a tertiary level-A matemal and child healthcare hospital in Nanjing from August 2022 to June 2023 for semi-structured interviews,and Colaizzi 7-step process of analyzing,summarizing,and refining the themes was used.Results A total of 4 themes were extracted,including determination of willingness to become pregnant,perceived risks of childbirth,perceived benefits to themselves and their families,diversified support needs.Conclusion The establishment of pregnancy intention of three-child pregnant women is affected by many factors.Relevant departments should actively implement the supporting measures of the three-child birth policy;healthcare workers should strengthen perinatal healthcare services for three-child mothers to reduce the risk of giving birth,actively strengthen their sense of benefits related to pregnancy,and establish a whole process of support system to promote the health of mothers and infants.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective·To investigate the causal relationship between plasma zinc-alpha-2-glycoprotein 1(AZGP1)and heart failure(HF)by using Mendelian randomization(MR)analysis and experimental validation.Methods·A two-sample MR analysis was performed to assess the causal relationship between AZGP1 and HF by integrating large-scale genome-wide association study(GWAS)data on plasma proteins and HF.The inverse-variance weighted(IVW)method was employed as the primary analytical approach,supplemented by MR-Egger regression,weighted median,and simple median methods.Horizontal pleiotropy was tested by using MR-PRESSO global test and MR-Egger intercept analysis.Colocalization analysis was conducted to validate genetic locus overlap.Additionally,a clinical cohort(84 HF patients and 68 healthy controls)was analyzed,with plasma AZGP1 levels quantified by enzyme-linked immunosorbent assay(ELISA).Results·MR analysis showed that elevated plasma AZGP1 levels were significantly associated with reduced HF risk(OR=0.82,95%CI 0.75?0.90,P=1.70×10-5).Colocalization analysis confirmed that AZGP1 expression and HF shared causal genetic variants(posterior probability for H4=0.69).Sensitivity and reverse MR analyses supported the robustness of the results.ELISA confirmed that plasma AZGP1 levels were significantly lower in HF patients compared to healthy controls,reinforcing its protective role in HF.Conclusion·This study demonstrates AZGP1 exerts a protective causal effect on HF and may serve as a potential biomarker for HF treatment.

Objective·To investigate the causal relationship between plasma zinc-alpha-2-glycoprotein 1(AZGP1)and heart failure(HF)by using Mendelian randomization(MR)analysis and experimental validation.Methods·A two-sample MR analysis was performed to assess the causal relationship between AZGP1 and HF by integrating large-scale genome-wide association study(GWAS)data on plasma proteins and HF.The inverse-variance weighted(IVW)method was employed as the primary analytical approach,supplemented by MR-Egger regression,weighted median,and simple median methods.Horizontal pleiotropy was tested by using MR-PRESSO global test and MR-Egger intercept analysis.Colocalization analysis was conducted to validate genetic locus overlap.Additionally,a clinical cohort(84 HF patients and 68 healthy controls)was analyzed,with plasma AZGP1 levels quantified by enzyme-linked immunosorbent assay(ELISA).Results·MR analysis showed that elevated plasma AZGP1 levels were significantly associated with reduced HF risk(OR=0.82,95%CI 0.75?0.90,P=1.70×10-5).Colocalization analysis confirmed that AZGP1 expression and HF shared causal genetic variants(posterior probability for H4=0.69).Sensitivity and reverse MR analyses supported the robustness of the results.ELISA confirmed that plasma AZGP1 levels were significantly lower in HF patients compared to healthy controls,reinforcing its protective role in HF.Conclusion·This study demonstrates AZGP1 exerts a protective causal effect on HF and may serve as a potential biomarker for HF treatment.

Objective:To construct an intelligent APP-assisted process assessment mode for standardized residency training and explore its application effect.Methods:Based on the "XUEYIKU" APP platform developed in Peking University Third Hospital, we built a standardized process of process assessment for standardized residency training assisted by intelligent APP and combining both online and offline components. We analyzed the frequency of APP use, satisfaction with the APP, the problems solved by the APP, and the aspects that need to be improved. SPSS 26.0 was used for t-test and Chi-square test. Results:The satisfaction score of teachers with the APP was (7.66±1.86) points. The satisfaction score of professional base teaching directors/process assessment coordinators was higher than that of clinical teachers [(8.28±1.30) vs. (7.42±1.99), P=0.013]. Most residents were satisfied with the APP (67.44%, 29/43), regarded its role in supporting the entire assessment process as important (55.81%, 24/43), and reviewed teacher feedback (65.12%, 28/43). Some teachers indicated that the APP solved problems such as paperless exam scoring (59.00%, 59/100), standardized exam processes (43.00%, 43/100), score statistics (42.00%, 42/100), and score reporting (42.00%, 42/100). The residents believed that the APP resolved issues such as exam notification (44.19%, 19/43), scheduling (41.86%, 18/43), and result feedback (41.86%, 18/43). Both teachers and residents mentioned the need for further strengthening the stability of the APP system and simplifying operational steps. Conclusions:With APP as a link, through the instant transmission and feedback of data, the intelligent APP-assisted process assessment mode drives the reflection and summarization of professional bases, clinical teachers, and residents, and promotes the post competence of residents.