Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

Objective:To investigate the current status of the technological pedagogical content knowledge (TPACK) levels of youth teachers in a military medical university, and to provide a practical basis for improving youth teachers' ability to teach with technologies.Methods:Youth teachers (with less than 3 years of teaching experience) in a military medical university were selected by convenience sampling for a survey on TPACK abilities using a modified TPACK questionnaire. The questionnaire was distributed through the internet, and 119 valid responses were returned. SPSS 20.0 software was used to perform the independent samples t-test and one-way analysis of variance.Results:The youth teachers scored highest in technological knowledge [TK; (3.68±0.74)] and lowest in TPACK (3.17±0.74). There were no significant differences in TPACK abilities between youth teachers in different majors. Youth teachers of different educational attainments showed significant differences in the levels of technological knowledge (TK; F=12.99, P<0.001), content knowledge (CK; F=13.64, P<0.001), technological pedagogical knowledge (TPK; F=4.38, P=0.015), technological content knowledge (TCK; F=3.83, P=0.025), and TPACK ( F=3.63, P=0.029)—the TK, CK, TPK, and TCK levels of teachers with doctoral degrees were significantly higher than those with bachelor's and master's degrees. Conclusions:Efforts should be made to design a TPACK ability development system throughout the growth cycle of youth teachers, build teaching practice communities, and improve the system guarantees.

Objective To understand the prevalence characteristics of influenza and changes of influenza virus strains,and provide reference for the prevention and control of influenza in the province.Methods Surveillance da-ta about influenza in Hunan Province from 2014 to 2023 were exported from China Influenza Surveillance Informa-tion System.Differences in the percentage of influenza-like illness(ILI)cases(percentage of influenza-like cases[ILI％]in outpatient and emergency department visits)among different years and different populations,as well as the positive rate of influenza virus in ILI specimens were compared.Results From 2014 to 2023,over 2.65 million cases of ILI were reported,with an ILI％of 4.70％.ILI％among different years presented statistically significant differences(P＜0.001).People aged 0-14 years old were the main population with ILI,accounting for 82.90％.The positive rate of influenza virus in ILI specimens was 14.14％,the positive rate of influenza virus among diffe-rent years and age groups were both significantly different(both P＜0.001).The main prevalent influenza strains from 2014 to 2023 included types A(H1N1),A(H3N2),B(Victoria),and B(Yamagata),alternating among di-fferent years.However,type B(Yamagata)strains were not detected from 2020 to 2023.There were basically two influenza prevalence seasons every year,namely winter-spring and summer.Conclusion People＜15 years old are the main population of influenza,and the prevalence peaks are in winter-spring and summer.From 2021 to 2023,the prevalence alternates mainly among 3 types:A(H1N1),A(H3N2),and B(Victoria).

Objective:To analyze the expression levels and clinical significance of interferon (IFN)-α/β in the renal cortex and serum of children with lupus nephritis (LN).Methods:A total of 32 children with LN diagnosed in the pediatric nephrology department of the Second Xiangya Hospital of Central South University from December 2017 to September 2020 were selected as the study subjects (LN group). The normal kidney control group consisted of 3 normal kidney transplant volunteers who underwent biopsy of kidney tissue (normal kidney control group), while 14 healthy children who underwent physical examination were collected as the normal control group. According to the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI), LN patients were divided into mild activity group ( n=8), moderate activity group ( n=9), and severe activity group ( n=15). According to the International Society of Nephrology/Society of Nephrology (ISN/RPS) 2003 LN classification criteria, pathological classification was performed (3 cases in the mild pathological damage group, 8 cases in the moderate pathological damage group, and 11 cases in the severe pathological damage group); Immunohistochemistry was used to detect the expression and distribution of IFN-α/β in glomeruli and renal interstitium; Enzyme linked immunosorbent assay (ELISA) was used to detect the concentration of IFN-α/β in serum samples and analyze its correlation with the pathological classification and disease activity of LN patients. Results:The serum and renal cortex IFN-α/β levels in the LN group were higher than those in the normal control group and normal kidney control group, respectively (all P<0.05). The average level of serum IFN-α/β in the heavy activity group was higher than that in the light and moderate activity groups (all P<0.05). The serum and renal cortex IFN-α/β levels in the severe pathological damage group were significantly higher than those in the mild and moderate pathological damage groups (all P<0.05). Conclusions:IFN-α/β in the renal cortex is closely related to renal injury in LN; Serum IFN-α/β can assist in evaluating the disease activity level of LN to a certain extent.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Lithium(Li)salts are commonly used as psychotropic medications for the treatment of major depressive disorders.However,long-term use of Li salts poses a high risk of toxicity,necessitating continuous monitoring of Li concentration in patient blood to ensure medication safety,which is crucial for clinical treatment.Laser-induced breakdown spectroscopy(LIBS),as a rapid analytical technique,has been widely applied in the elemental analysis of complex matrices in various practical scenarios.In this study,LIBS technology combined with partial least squares(PLS)was employed for quantitative analysis of Li elements in blood matrix.A total of 45 clinical blood samples were utilized,and the quantitative models for plasma and whole blood matrices were separately investigated.The number of latent variables in the PLS algorithm was optimized using a five-fold cross-validation method.Results revealed that the PLS quantitative model constructed on the basis of plasma matrix achieved a predictive determination coefficient(R2)of 0.992,a predictive root mean square error(RMSEP)of 0.204 μg/mL,and a relative standard error(RSD)of 2.14%.In contrast,for the PLS quantitative model constructed on the basis of whole blood matrix,the R2 was 0.984,the RMSEP was 0.728 μg/mL,and the RSD was 3.45%Consequently,the LIBS model constructed on the basis of plasma calibration values demonstrated superior performance in quantitative analysis of Li element in whole blood,and LIBS technology provided a new possibility for rapid assessment of blood Li levels in clinical practice,with promising prospects for application.

Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Objective:To construct a remote screening network for breast cancer based on automated breast ultrasound (ABUS) and explore the value of ABUS with remote reading for breast cancer screening.Methods:We constructed a remote breast cancer screening network including one remote reading center and 48 image-acquisition centers. We recruited women to participate in breast cancer screening at one of these image-acquisition centers from January 2021 to January 2023. The technicians collected the whole breast images using the ABUS. The images were then sent to the reading center through the PVBUS System and interpreted independently by two radiologists using the Breast Imaging Reporting and Data System (BI-RADS). BI-RADS categories 1 and 2 indicate negative screening results, and women diagnosed with these categories were recommended for annual breast ultrasound screening. BI-RADS categories 3, 4, and 5 indicate positive results. Women with BI-RADS category 3 lesions were recommended for follow-up examinations every 6 months using ABUS or handheld ultrasound, while those with BI-RADS 4 and 5 lesions were suggested to undergo pathological examinations.Results:In our study, we enrolled 10 344 women who completed the ABUS screening and were followed up for more than 12 months. After remote reading, 6 164 women were diagnosed with BI-RADS category 1 and 2 626 woman were within BI-RADS category 2. In contrast, 1 404 women were within BI-RADS category 3, a total of 135 women were within BI-RADS category 4, and 15 women were within BI-RADS category 5. The positive screening rate of ABUS was 15.0% (1 554/10 344). The ABUS with remote reading had a detection rate of 3.7/1 000 (38/10 344) for breast cancer screening, with a sensitivity of 97.4% (38/39) and a specificity of 85.3% (8 789/10 305). Among the 38 breast cancer cases detected, 92.1% (35/38) were invasive carcinomas, and 63.2% (24/38) were stage 0 or Ⅰ breast cancers.Conclusions:Breast cancer screening based on ABUS with remote reading provided an efficient and feasible solution to the problem of unevenly distributed medical resources and medical staff levels in various regions of China, enabling the decentralization of high-quality medical resources and improving the accessibility of high-quality screening services. It has provided an alternative for breast cancer screening in China.

Pancreatic cancer is a highly malignant tumor with a poor prognosis. It is very hard to treat pancreatic cancers for their high heterogeneity, complex tumor microenvironment, and drug resistance. Currently, gemcitabine plus nab-paclitaxel, capecitabine and FOLFIRINOX are standard chemotherapy for resectable or advanced metastatic pancreatic cancer. Considering the limited efficacy and toxic side effects of chemotherapy, targeted and immune drugs have gradually attracted attention and made some progress. In this article, we systematically reviewed the chemotherapeutic drugs, targets and related targeted drugs, and immunotherapy drugs for pancreatic cancer.