[Objective] To retrospectively analyze the detection results of alanine aminotransferase (ALT) unqualified repeat blood donors in Guangzhou, so as to provide evidence for further expanding the repeat blood donor pool, reducing the rate of blood discarding and improving the qualified rate of blood test. [Methods] Blood donors with unqualified ALT in Guangzhou Blood Center from January 2018 to April 2024 were selected as the research objects. The past blood donation and population characteristics were analyzed according to the number of blood donations and ALT unqualified times. [Results] Among repeat blood donors with previous ALT disqualification, 99.5% to 99.7% did not have reactive markers for transfusion-transmitted diseases (TTD), which was higher than the rate among first-time blood donors with unqualified ALT (95.8%) (P<0.05). The rate of single-item ALT disqualification in repeat blood donors was higher in males than in females (P<0.05); it also varied by age (18-25 years > 26-35 years > 36-45 years > over 45 years) (P<0.05); and by quarter (third and fourth quarters > first and second quarters) (P<0.05). The ALT unqualified rate was significantly higher whole blood donors than that of platelet donors and returning blood donors (P<0.05). The overall ALT level (51.0 U/L), individual ALT level (56.0 U/L) and individual ALT unqualified rate (66.7%) of repeat blood donors with multiple ALT disqualifications were higher than those of repeat blood donors with single-item ALT disqualifications (26.0 U/L, 38.5 U/L, and 33.3%, respectively) (P<0.05). Moreover, as the number of ALT disqualifications increased, the overall level of ALT in repeat blood donors also increased (P<0.05), and the average level of individual ALT and individual ALT unqualified ratio tended to increase. Repeat blood donors with frequent ALT disqualifications had higher ALT levels (69.0 U/L). [Conclusion] The ALT unqualified rates of repeat blood donors were mostly non-specific elevation without TTD. Repeat blood donors with multiple ALT disqualifications tend to have continuous high ALT. Moreover, and with the increase of ALT disqualifications times, the overall ALT levels the average individual ALT levels and individual ALT unqualified rates showed an increasing trend.

Purpose/Significance To explore the construction pathway of an intelligent automation model tailored for primary health-care institutions,aiming to address the issue of repetitive reporting.Method/Process Through methods such as on-site investigations and expert consultations,a field study is conducted in primary healthcare institutions in Dongcheng District,Beijing.Utilizing information resource planning methods and data integration and mapping technologies,the business interactions and information flow within these in-stitutions are analyzed to investigate the construction pathway of an automated reporting model.Result/Conclusion The business flow and data flow are mapped out by the modeling process,a repository of relevant reporting indicators is organized,and a multi-source data au-tomatic mapping model and rules are developed.The study provides a feasible reference pathway for realizing intelligent reporting in pri-mary healthcare institutions.

Purpose/Significance To strengthen the construction of intelligent primary health information systems,and to provide ref-erences for improving the level of primary health services.Method/Process The paper systematically summarizes the current construction of primary health information systems at home and abroad,focuses on analyzing the current technical architectures and intelligent applica-tions of the existing systems,and puts forward improvement suggestions for the shortcomings in the construction mode,data connectivity and intelligent application.Result/Conclusion Countermeasures such as strengthening top-level design,promoting multi-source heter-ogeneous data fusion and strengthening intelligent applications are proposed to provide references for the construction of intelligent primary health information systems.

Objective To observe the incidence of pericardial tamponade(PT)after left atrial appendage closure(LAAC)in patients with non-valvular atrial fibrillation(NVAF),and to explore its related factors and outcomes.Methods NVAF patients who were hospitalized and treated with LAAC in Department of Cardiology of our hospital from August 2014 to March 2023 were selected for the study.The general clinical data,preoperative transthoracic echocardiography and transesophageal echocardiography data,results of routine preoperative laboratory tests,intraoperative data and follow-up data of the patients were collected through the hospital medical record management system.The enrolled patients were classified into the non-PT group(n=8)and the PT group(n =1184)according to whether PT occurred after LAAC or not.The incidence of PT,related risk factors and outcomes were statistically analyzed.Results This study included 639 males(53.6%)and 553 females(46.4%),with an average age of 68.1±9.65 years.The CHA2 DS2-VASc score was 4.51±1.72,and the HAS-BLED score was 3.36±1.09.PT occurred in 8 cases(0.67%),among them,6 cases occurred 1 to 33 h after LAAC,and 2 cases occurred on day 19 and day 27 after LAAC.As for the results of transesophageal echocardiography(TEE)and LAA angiography,compared with the non-PT group,the PT group had the significantly larger maximum caliber of the LAA(P=0.025,P=0.015),smaller maximum depth of the LAA(P=0.028,P=0.031),and lower success rate of one-time placement of the occluder(P=0.031);The occluder compression rate of the PT group was significantly greater than that of the non-PT group(P=0.046).Multivariate analysis showed that larger maximum diameter of LAA,smaller average effective depth of LAA and larger compression rate of occluder were the main risk factors for PT.All the 8 PT patients were cured by stopping antithrombotic drugs,pericardiocentesis or surgical drainage.During a mean follow-up of 39±27 months,there were no device-related thrombosis(DRT),ischemic stroke,systemic embolism and other complications in the PT group.Conclusion The incidence of PT after LAAC is low,which is related to the large diameter of LAA,the relatively insufficient depth of the LAA and the large compression rate of the occlude.PT can be cured by stopping antithrombotic drugs and pericardiocentesis/surgical drainage.

[Objective] To investigate and analyze the current status, needs and issues of information system construction in blood collection and supply institutions in Beijing, and to provide strategic suggestions for the further improvements. [Methods] The qualitative information of information systems from relevant departments of Beijing Red Cross Blood Center, central blood stations, blood banks and hospitals in Beijing were collected by sequential interview method, and analyzed. [Results] There were 6 information systems in operation in blood collection and supply institutions in Beijing, covering functions such as blood collection and supply service management, blood donation information inquiry and reporting, blood collection and supply institution business management, blood donor information management, blood information promotion and information disclosure. However, there were still issues such as low level of system informatization, lack of top-level design for information construction, non-unified data standards, and incomplete system analysis and statistical functions. [Conclusion] Blood collection and supply institutions in Beijing need to further carry out network infrastructure construction, reconstruct system architecture, improve the functions of the blood management information platform, unify data and interfaces to achieve information sharing, and use emerging technologies to achieve intelligence and precision in blood collection and supply services and management.

Purpose/Significance To investigate the status quo and influencing factors of self-management level of elderly diabetic mellitus patients in Dongcheng District of Beijing,and to provide references for further development of community diabetes health educa-tion and health management.Method/Process The survey is conducted on 1 962 cases of elderly patients with type 2 diabetes mellitus who are randomly selected from community-level health service institutions in Dongcheng District of Beijing and are investigated by self-made questionnaires and the summary of diabetes self-care activities.Multiple stepwise regression and logistic regression are used to analyze the influencing factors of patients'self-management level.Result/Conclusion The self-management level of elderly diabetic mellitus patients is affected by many factors,among which the awareness of disease-related knowledge,the form of medical security and the use of health-related software to manage chronic diseases are the main influencing factors(P＜0.05).Local management depart-ments can take targeted health interventions to further improve the self-management ability of elderly diabetic mellitus patients.

With the development of infusion therapy in China, domestic scholars have conducted a lot of research and exploration on hot issues related to infusion therapy. This paper reviewed the research progress of infusion therapy in our country. In order to provide reference for the standardized management of infusion therapy, and provide basis for nursing decision of clinical infusion therapy, it analyzed and summarized the problems and deficiencies existing in the development of infusion therapy, and put forward corresponding suggestions, from the current situation of intravenous infusion, development of infusion therapy tools and technology, selection of infusion therapy tools and puncture sites, management and evaluation of quality of infusion therapy, development situation of infusion nurse specialists, and operation modes of infusion therapy team.

Objective:To investigate the epidermal growth factor receptor (EGFR) mutation rate, mutation characteristics and distribution characteristics of different mutation types in patients with non-small cell lung cancer (NSCLC) in Fuyang of Yunnan province, to provide the clinical individualized targeted therapy of NSCLC in this region.Methods:A total of 328 NSCLC patients whose native place were Fuyuan and who underwent EGFR test in Fuyuan County People's Hospital in Yunnan Province from January 2018 to August 2020 were selected, and their clinical data such as gender, age, ethnicity, pathological type and the results of EGFR test were collected for statistical analysis.Results:The EGFR mutation rate of NSCLC patients was 40.55% (133/328). The EGFR mutation rate of female patients was higher than that of males ( P < 0.01). The EGFR mutation rate showed a downward trend with age, the EGFR mutation rate of patients ≤ 60 years old was higher than that of patients > 60 years old ( P = 0.014). The EGFR mutation rate in ethnic minority was not statistically different from Han nationality ( P = 0.789). The EGFR mutation rate of patients without smoking history was higher than that of patients with smoking history ( P<0.01). Patients with adenocarcinoma had a higher EGFR mutation rate than squamous cell carcinoma ( P = 0.002). The EGFR mutation rate in patients with stage Ⅰ-Ⅱwere higher than that in patents with stage Ⅲ-Ⅳ ( P = 0.013). The EGFR mutation rate in tissue samples were higher than that in peripheral blood samples ( P = 0.009). In 328 patients the EGFR single-point mutation rate was 24.70% (81/328), and the compound mutation rate was 15.85% (52/328); the common mutation rate was 17.07% (56/328), and the rare mutation rate was 23.48% (77/328). The top 5 mutation types were L858R (10.06%), G719X+S768I (7.32%), 19-Del (7.01%), G719X+L861Q (6.40%), and G719X (4.21%). In 133 patients with EGFR mutation, the proportion of patients with rare mutation [57.89% (77/133)] was higher than the proportion of patients with common mutation [42.11% (56/133)]. Conclusion:The EGFR mutation rates of female, adenocarcinoma, non-smoking and young NSCLC patients in Fuyuan area are high, and the rare mutation rate is high.

【Objective】 To analyze the metagenomics and microbiology of voluntary blood donors in China, so as to assess the potential threats of emerging infectious diseases to the safety of blood transfusion. 【Methods】 12 300 plasma samples (10 mL each) collected by central blood stations in Chongqing, Liuzhou, Urumqi, Mianyang, Wuhan, Nanjing, Mudanjiang, and Dehong Prefecture area from 2012 to 2018 were subjected to total DNA extraction after ultracentrifugation (32 000 rpm/min, centrifugal radius 91.9 mm) in minipools of 160 donations. The metagenomic library was constructed, and deep sequencing was conducted by Illumina Hiseq 4 500. By comparing with reference sequences of bacteria, fungi, parasites and viruses, metagenomic data were analyzed, classification of microbes were identified, and potentially harmful pathogens were evaluated. 【Results】 A total of 632 GB clean data were obtained by deep sequencing, and the top three pathogens were Pseudomonas(0.561 1%), Burkholderia(0.468 7%) and Serratia(4.242 0%). Pathogens with potential threat which could be transmitted by blood transfusion or blood products were found, such as human parvovirus B19(0.126 6%), Leishmania spp(1.348 5%) and Toxoplasma gondii(0.615 8%). 【Conclusion】 Our study analyzed metagenomics of voluntary blood donors in parts of China and revealed pathogens that may cause potential harm to blood safety, which were helpful for targeted prevention and control of emerging infectious diseases.

Objective:To investigate the value of deep learning in classifying non-inflammatory aortic membrane degeneration.Methods:Eighty-nine cases of non-inflammatory aortic media degeneration diagnosed from January to June 2018 were collected at Beijing Anzhen Hospital, Capital Medical University, China and scanned into digital sections. 1 627 hematoxylin and eosin stained photomicrographs were extracted. Combined with the ResNet18-based deep convolution neural network model, 4-category classification of pathological images were performed to diagnose the non-inflammatory aortic lesion.Results:The prediction model of artificial intelligence assisted diagnosis had the best accuracy, sensitivity and precision in identifying lesions with smooth muscle cell nuclei loss, which were 99.39%, 98.36% and 98.36%, respectively. The classification accuracy of elastic fiber fragmentation and/or loss lesions was 98.08%, while that of intralamellar mucoid extracellular matrix accumulation lesions was 96.93%. The overall accuracy of the classification model was 96.32%, and the area under the curve was 0.982.Conclusions:The accuracy of deep learning neural network model in the 4-category classification of non-inflammatory aortic lesionsis confirmed based on digital photomicrographs. This method can effectively improve the diagnostic efficiency of pathologists.