As the second part of this series, this article summarizes and synthesizes the key aspects of UK Serious Hazards of Transfusion (SHOT), SHOT’s continuous promotion of learning from excellent daily transfusion events over the past six years. This summary is based on an introduction to the holistic approach to improving patient safety—proactively learning from both failures and successes. The covered topics include an overview, definitions, case studies, implementation methods, safety culture, psychological safety in the workplace, civility in work, the use of neutral language, leading and lagging indicators, and compassionate governance. It is hoped that this article will assist domestic colleagues in understanding and studying the strategic significance of the transformation of transfusion safety governance in the UK, and inspire reflection on the strategic development direction of transfusion safety governance in China.

Objective: To analyze the current burden of autism spectrum disorder (ASD) among children and adolescents in China and globally, and to predict the disease burden from 2024 to 2035, providing a scientific basis for formulating relevant public health policies and intervention measures. Methods: Based on the Global Burden of Disease (GBD) database in 2023, the Joinpoint regression model was used to analyze the changing trends of the disease burden of ASD among children and adolescents in China and globally from 1990 to 2023, and the average annual percent change (AAPC) was calculated. An autoregressive integrated moving average (ARIMA) model was constructed to predict the disease burden trends of ASD among children and adolescents in China and globally from 2024 to 2035. Results: The prevalence and disability adjusted life years (DALYs) rate of ASD among children and adolescents in China increased from 452.69/100 000 and 86.67/100 000 in 1990 to 762.84/100 000 and 148.52/ 100 000 in 2023(AAPC=1.60%, 1.65%, both P <0.01). The prevalence and DALYs rate of ASD among children and adolescents globally increased from 648.49/100 000 and 123.47/100 000 to 862.44/100 000 and 167.16/100 000(AAPC=0.87%, 0.93%, both P <0.01). In 2023, the highest ASD prevalence and DALY rates occurred in children under 5 years old, with China reporting 848.14/100 000 and 166.69/100 000, both below the global averages of 928.80/100 000 and 181.34/100 000. Projections indicated that by 2035, the ASD prevalence and DALY rates in China would rise to 906.83/100 000 and 168.71/100 000, still below the global averages of 938.04/100 000 and 184.49/100 000. Conclusion The disease burden of ASD among children and adolescents in China and globally has generally increased from 1990 to 2023, with a higher risk of disease at younger ages.

Objective: To investigate the characteristics and potential risk factors associated with HIV infection among newly reported HIV positive male student cases in Jiangsu Province from 2023 to 2024, so as to provide evidence for targeted intervention strategies. Methods: Data were obtained from the China CDC Surveillance System on newly reported HIV positive male student cases from 2023 to 2024. A survey was conducted to collect information on demographic characteristics, knowledge of AIDS prevention, education and training history, HIV testing history, behavioral and substance use patterns, and other relevant factors prior to HIV diagnosis among 343 newly reported HIV positive male student cases in Jiangsu Province. Multivariate Logistic regression analysis was used to assess the risk factors of HIV infection among male students. Results: Among the HIV positive male student cases, homosexual behavior accounted for 93.88% of transmission routes, while 10.20% involved heterosexual contact, as well as 4.08% for two sexual hehaviors. Awareness of HIV prevention knowledge was 97.08%, and 66.76% had previously undergone HIV testing. Among the respondents, 10.50% had used rush poppers as enhancers, and 72.30% had received HIV prevention education within the past year. Among students cases with homosexual behavior, the median time from first homosexual contact to HIV diagnosis was ≤2 years, with 54.66% of cases falling into this category; the most common way of finding same sex partners was through social software, accounting for 88.20% of cases, while the proportion of those via "Blued" app reached 87.07% ; the proportion of using condoms every time during sexual activity in the past six months was 12.27%. Among the student cases with homosexual behavior, the results of multiple Logistic regression analysis showed that student cases aged 18 to 24 ( OR =4.52) and >24 ( OR = 19.23 ), without receiving education on HIV prevention in the past year ( OR =1.86), having consistent condom use ( OR =2.73) and not using condoms ( OR =2.12) during the last sexual activity were more likely to had the first same sex sexual activity for more than 3 years before being diagnosed as HIV positive cases (all P <0.05). Student cases who were uncertain about their partner s sexual identity ( OR =0.33), and who primarily identified same sex partners through "other" means ( OR = 0.23 ) were more likely to avoid HIV testing; in contrast, student cases with consistent condom use during the last homosexual encounter ( OR =7.20) was significantly associated with increased likelihood of HIV testing (all P <0.05). Conclusions Newly reported HIV positive male student cases in Jiangsu Province exhibit serious discrepancies between knowledge and practice regarding HIV prevention. Measures are needed to accelerate the optimization of campus based HIV prevention education content and delivery methods. Simultaneously, enhanced management of extracurricular male populations is essential to effectively control the spread of HIV.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Polypoidal choroidal vasculopathy(PCV)is one of the important subtypes of neovascular age-related macular degeneration(nARMD), which causes severe vision loss. It is necessary to distinguish PCV from other nARMD subtypes to guide the clinical treatment plans and predict disease outcomes. In recent years, artificial intelligence(AI)has been widely used in the diagnosis and research of ophthalmic diseases. By utilizing machine learning or deep learning combined with examination images in disease classification, lesion segmentation, and quantitative assessment, etc. This article reviews the recent applications of AI in the differential diagnosis of PCV through various examination images, the segmentation and quantification of biomarkers, as well as the prediction of genotype, response to anti-vascular endothelial growth factor(VEGF)therapy, and the short-term risk of vitreous hemorrhage. It summarizes the difficulties and challenges in clinical practice of AI and looks forward to the advantages and development trends of AI in PCV applications in the future. The article aims to provide more information for further research and application, thereby improving the diagnostic rate of PCV, optimizing treatment plans, and improving patients' visual prognosis.

Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

Objective To discuss the application value of CT and DSA multimodal image fusion technology in endovascular interventional therapy for arterial occlusive lesions of lower extremities and to evaluate its efficacy and safety so as to provide a scientific basis for clinical decision-making.Methods A total of 283 lower limbs with arterial complete occlusive lesions,who received treatment at Affiliated Baiyun Hospital of Guizhou Medical University hospital from January 2020 to December 2023,were selected for this study.The 283 diseased lower limbs were randomly divided into study group(n=142)and control group(n=141).In the study group the endovascular interventional therapy assisted by CT and DSA multimodal image fusion technology was adopted,while in the control group the traditional DSA-guided endovascular interventional therapy was employed.The imaging parameters,surgical success rates,X-ray exposure doses,time spent for operation,incidence of postoperative complications,changes of ankle-brachial index(ABI),primary patency rate,assisted primary patency rate,and secondary patency rate were compared between the two groups.Results The surgical success rate in the study group was 96.47％,which was significantly higher than 87.94％in the control group(P＜0.05).The mean time spent for operation in the study group was(125.42±23.74)minutes,which was shorter than(147.81±29.33)minutes in the control group.The mean X-ray exposure dose in the study group was(2 856.34±427.82)mGy·cm2,which was lower than(3 674.53±512.60)mGy·cm2 in the control group.The incidence of postoperative complications in the study group was 4.23％,which was significantly lower than 12.57％in the control group(P＜0.05).The ABI values of the affected limbs in the study group and control group increased from preoperative(0.65±0.15)and(0.60±0.18)respectively to postoperative(1.09±0.32)and(0.90±0.28)respectively.The postoperative ABI value in the study group was higher than that in the control group(P＜0.05).The postoperative 12-month primary patency rate,assisted primary patency rate and secondary patency rate in the study group were 78.17％,85.92％and 90.14％respectively,which were better than 67.38％,75.89％and 80.85％respectively in the control group.Conclusion For arterial occlusive lesions of lower extremities,endovascular interventional therapy with the help of CT and DSA multimodal image fusion technology has high surgical success rates,low incidence of complications,and satisfactory revascularization rate.This technology provides new idea and method for the treatment of arterial occlusive lesions of lower extremities with high clinical safety.Therefore,this technology is worthy of clinical promotion and application.

OBJECTIVE: To evaluate the clinical significance of a hemizygous c.1042-10G>C variant of the SLC9A7 gene NM_001257291.2) previously identified in individuals with neurodevelopmental disorders, and to provide an evidence-based guidance for prenatal genetic counseling. METHODS: Four families presented at the Medical Genetics Center of Henan Provincial People's Hospital between December 2022 and July 2024 were included in this study. Phenotypic information and biological samples were collected from family members. Genomic DNA was extracted and subjected to whole-exome sequencing and copy number variation analysis to identify candidate pathogenic variants. Sanger sequencing was performed for familial co-segregation analysis. Reverse-transcription PCR was used to assess the RNA splicing pattern of the variant in peripheral blood samples. Quantitative PCR was employed to analyze the expression profiles of various SLC9A7 transcripts in fetal brain tissue and peripheral blood samples. Pathogenicity of the variant was classified based on guidelines from the American College of Medical Genetics and Genomics (ACMG). This study was approved by the Medical Ethics Committee of Henan Provincial People's Hospital (Ethics No.: 2021-171). RESULTS: Six hemizygous males carrying the SLC9A7 c.1042-10G>C variant were identified among the four families, which included three adult males and two male infants with normal phenotypes. Only one affected male from family 3 exhibited global developmental delay, short neck, webbed neck, ocular dysplasia, and congenital corneal leukoma. He also had a history of perinatal asphyxia and carried an additional hemizygous variant HUWE1 c.12283C>G. Reverse-transcription PCR showed no aberrant splicing in heterozygous or hemizygous carriers compared to healthy controls, suggesting that the variant does not affect RNA splicing. Quantitative PCR revealed that NM_001257291.2 is the predominant transcript expressed in fetal brain tissue and peripheral blood. CONCLUSION The SLC9A7 c.1042-10G>C variant does not alter RNA splicing and is present in multiple phenotypically normal males, which supported its classification as a benign variant.
Humans ; Male ; Female ; Genetic Counseling ; Pedigree ; Adult ; DNA Copy Number Variations/genetics* ; Sodium-Hydrogen Exchangers/genetics* ; Exome Sequencing

OBJECTIVE To establish the specific chromatogram of Qianghuo Shengshi Tang(QHSS) reference sample, clarify the key quality attributes of QHSS, providing reference for the quality evaluation of QHSS reference sample. METHODS The SilGreen C18 column(4.6 mm×250 mm, 5 μm) was used. The mobile phase consisted acetonitrile and 0.2% formic acid aqueous solution. The detection wavelength was 328 nm. Established an HPLC characteristic spectrum analysis method for the reference sample of QHSS. A variety of chromatographic columns and different instruments were applied to investigate the adaptability of the system. HPLC-LTQ-Orbitrap MS was used to identify the specific peaks of the QHSS reference samples in positive ion mode. RESULTS There were 14 peaks in the specific chromatogram, which belonged to Notopterygii Rhizoma Et Radix, Angelicae Pubescentis Radix, Ligustici Rhizoma Et Radix, Chuanxiong Rhizome, Viticis Fructus, respectively. Ferulic acid(peak 3) was reference peak. A total of 22 compounds were identified by mass spectrometry, including coumarin and flavonoids. CONCLUSION The established specific chromatogram method of QHSS is simple, stable and reproducible. The material basis of QHSS reference sample is basically determined, providing a reference for the development and quality control of QHSS.