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.

Objective To establish an animal model of hand,foot,and mouth disease(HFMD)in Syrian hamsters coinfected with coxsackievirus A6(CVA6)and coxsackievirus B1(CVB1).Methods 42 Syrian hamsters were divided into a CVA6 infection group,CVB1 infection group,CVA6 and CVB1 coinfection group and control group.A HFMD model was established by nasal instillation of virus solution and phosphate-buffered saline.Clinical and physiological indicators and detoxification status were monitored and recorded for 15 d,and animals were selected on day 7(D7)after infection for histopathology and viral antigen and nucleic acid testing.Results Hamsters in the single-infection and coinfection groups showed clinical symptoms similar to human HFMD.White blood cell,neutrophil,and lymphocyte result were characteristic of viral infection.Both viral nucleic acids were detected in throat swabs,feces,blood,and tissues and both viruses were isolated from fecal samples.Pathological damage and positive co-localization of CVA6 and CVB1 viral antigen proteins and nucleic acids were found in brain and other tissues.Conclusions Nasal instillation of a CVA6 and CVB1 mixture can successfully coinfect Syrian hamsters,replicate herpes infection similar to human HFMD,and cause pathological viral myocarditis and encephalitis damage.The result showed that the coinfection group was more seriously affected than the single-infection group,with worse clinical symptoms,increased viral replication,and obvious tissue pathological damage.This study provides a reference for further basic and clinical research into human enterovirus coinfection.

Objective:To investigate the effect of CT-derived fractional flow reserve (CT-FFR) measurement sites on the values and the diagnostic performance, and to determine the optimal measurement site for CT-FFR using invasive FFR as the reference standard.Methods:This study was part of the CT-FFR CHINA clinical trial. Patients with suspected coronary artery disease who were scheduled for invasive coronary angiography (ICA) were prospectively recruited from five clinical centers across the country from November 2018 to March 2020. Each enrolled patient underwent coronary CT angiography (CCTA), CT-FFR, ICA, and invasive pressure wire-based FFR assessments sequentially within one week. Four groups of CT-FFR values were obtained on each enrolled target vessels according to different CT-FFR measurement locations: 1, 2, 3 cm distal to the target lesion, and terminal vessel groups. Spearman and Bland-Altman analyses were used to explore the correlation and consistency of CT-FFR values and FFR values at different measurement sites. The measurement deviation of CT-FFR was also compared. Diagnostic accuracy and performance of CT-FFR, including sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC), in discriminating myocardial ischemia were analyzed across all measurement site groups on a per-vessel level, using FFR as the reference standard.Results:A total of 289 patients with 345 target lesion vessels were included. According to CCTA, there were 51 target vessels (14.8%) with<50% stenosis, 106 vessels (30.7%) with 50%-69% stenosis, and 188 vessels (54.5%) with stenosis≥70%. At per-vessel level, CT-FFR and FFR values at each measurement position group were highly positively correlated: 1 cm distal to target lesion group, r=0.734 ( P<0.001); 2 cm distal to target lesion group, r=0.732 ( P<0.001); 3 cm distal to target lesion group, r=0.737 ( P<0.001); terminal vessel group was 0.719 ( P<0.001). At per-vessel level, CT-FFR and FFR values of all measurement sites were in good agreement (Bland-Altman analysis results): 1 cm distal to target lesion group, 0.014 (95% LoA 0.002-0.026); 2 cm distal to target lesion group, 0.026 (95% LoA 0.015-0.038); 3 cm distal to target lesion group, 0.040 (95% LoA 0.039-0.051); terminal vessel group, 0.075 (95% LoA 0.064-0.087). And at per-vessel level, the accuracy of diagnosing myocardial ischemia with CT-FFR at 1 cm was highest [84.6% (95% CI 80.4%-88.3%)], and the lowest accuracy in the terminal vessel group [67.0% (95% CI 61.7%-72.0%)]. However, there was no significant difference in the diagnostic accuracy of CT-FFR at 1 cm, 2 cm [80.6% (95% CI 76.1%-84.6%)] and 3 cm [77.5% (95% CI 72.6%-81.7%)]. AUC of CT-FFR at 1 cm distal to the lesion were both highest for global level and moderately stenosis (50%-69%) lesions [0.85 (95% CI 0.81-0.89), 0.84 (95% CI 0.77-0.90)]. And the differences were statistically significant among the four measurement location groups (all P<0.05). Conclusions:The deviation of CT-FFR increases with measurement site distance distal to target lesions. One centimeter distal to the target lesion is the optimal measurement site, and the CT-FFR value here shows the highest diagnostic performance for myocardial ischemic lesions, especially for moderate stenosis.

Objective:To investigate the value of phase-resolved functional lung MRI (PREFUL-MRI) in identifying pulmonary perfusion and ventilation defects in patients with restrictive ventilatory dysfunction (RVD).Methods:This study was a cross-sectional study. Participants were prospectively enrolled from March 2023 to July 2024 at Beijing Chaoyang Hospital, Capital Medical University, where they underwent pulmonary function testing [indicators including first second forced expiratory volume (FEV 1), forced vital capacity(FVC), FVC percent predicted(FVC%pred), FEV 1 percent predicted(FEV 1%pred),et al] and low-dose CT examinations. Based on pulmonary function results, all participants were divided into an RVD group and a control group. The RVD group was further subdivided into a mild RVD subgroup (FEV 1%pred≥70%) and a moderate-to-severe RVD subgroup (FEV 1%pred<70%). All participants underwent PREFUL-MRI examination. Quantitative lung perfusion parameters were measured, including perfusion quantified (Q Quantified) and perfusion defect percentage (QDP). Ventilation parameters were also acquired, including regional ventilation (RVent), flow-volume loop correlation metric (FVL-CM), and ventilation defect percentages (VDP RVent and VDP FVL-CM). Comparisons of continuous variables between groups were performed using the Mann-Whitney U test, while categorical variables were compared using the χ2 test or Fisher′s exact test. Spearman correlation analysis was used to assess the relationships between pulmonary function parameters and lung perfusion and ventilation parameters. Variables showing statistically significant differences between the RVD and control groups, or between the mild and moderate-to-severe RVD subgroups in univariate analyses, were included in multivariate binary logistic regression analysis to identify independent risk factors for the occurrence of RVD and moderate-to-severe RVD, and predictive models were constructed. The predictive performance of the models was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:A total of 37 patients were included in the RVD group (23 males and 14 females), with a median age of 59 (52, 75)years. Among them, 18 had mild RVD and 19 had moderate-to-severe RVD. The control group consisted of 49 individuals (39 males and 10 females), with a median age of 55(46.5, 60) years. The RVD group had lower FEV 1%pred, FVC%pred, and Q Quantified, and higher RVent and QDP compared to the control group ( P<0.05). The moderate-to-severe RVD subgroup had lower FEV 1%pred, FVC%pred, and Q Quantified, and higher RVent and QDP than the mild RVD subgroup ( P<0.05). In the RVD group, FEV 1%pred and FVC%pred showed significant positive correlations with RVent and Q Quantified, and significant negative correlations with QDP ( P<0.05). The FEV 1/FVC ratio was positively correlated with RVent and FVL-CM, and negatively correlated with VDP RVent, VDP FVL-CM, and QDP ( P<0.05). Logistic regression analysis revealed that Q Quantified ( OR=0.97, 95% CI 0.94-0.99, P=0.005) and QDP ( OR=1.23, 95% CI 1.07-1.41, P=0.003) were independent predictors of RVD, and the AUC of the predictive model was 0.823. QDP ( OR=1.23, 95% CI 1.07-1.41, P=0.003) was identified as an independent predictor of moderate-to-severe RVD, with the model achieving an AUC of 0.825. Conclusions:PREFUL-MRI facilitates the noninvasive assessment of pulmonary perfusion abnormalities in RVD. The quantitative perfusion parameter serves as a valuable biomarker for detecting RVD and evaluating its severity, offering a novel tool for both pathophysiological research and clinical assessment.

Objective To systematically assess the efficacy and safety of combining acupoint massage with lactulose for constipation treatment.Methods Randomized controlled trials on the effects of acupressure combined with lactulose on constipation were searched in PubMed,Web of Science,Cochrane Library,Embase,China National Knowledge Infrastructure,SinoMed,VIP and Wanfang Data Knowledge Service Platform.The search timeframe was from the establishment of the database to July 2024,and Meta-analysis was performed using RevMan5.3 and Stata15.1 software.Results A total of 8 randomized controlled trials including 675 study participants were included.Meta-analysis showed that the acupoint massage combined with lactulose group was superior to control group in terms of total effective rate,abdominal distension score,and constipation quality of life score.Furthermore,its recurrence rate was lower than that of control group.Both groups showed no statistically significant difference in adverse reactions(P＞0.05).Conclusion Acupressure combined with lactulose can effectively improve the efficiency and quality of life in the treatment of constipation,and can be safe.Due to the limitation of the quantity and quality of the included literature,more high-quality studies with long-term follow-up are still needed to supplement and validate the above conclusions in the future.

Objective To explore the effects of sialic acid intervention during pregnancy and the lactational period on the intestinal function of autism model rats.Methods Thirty SPF-grade adult male and female Wistar rats were mated.The successfully pregnant rats were randomly assigned to a valproate-induced model(VPA)group,a high-dose sialic acid(SAH)group,a medium-dose sialic acid(SAM)group,a low-dose sialic acid(SAL)group,and a control(CON)group(n=6 per group)and were housed individually in single cages.On the 12.5th day of pregnancy(E12.5),rats in the VPA and SA intervention groups were given a single intraperitoneal injection of 600 mg/kg sodium valproate(VPA),while the pregnant rats in the CON group were given an equal amount of normal saline.The SA intervention period was from E12.5 to the 21st day after parturition.Feces of offspring rats in each group were collected.The diversity and structure of the gut microbiota were detected by 16S rRNA sequencing.The intestinal transit speed in each group was detected by intragastric administration of carmine.The levels of intestinal-related neurotransmitters(substance P,enkephalin,5-hydroxytryptamine,vasoactive intestinal peptide,and glutamate,gamma-aminobutyric acid)in the blood of rats in each group were detected by ELISA.Results High-dose SA intervention did not affect the diversity of the gut microbiota in the VPA-induced autism model rats,but it changed the structure of the gut microbiota and increased the abundance levels of Prevotella_NK3B31 group,Prevotella,Prevotella spp.,Alloprevotella,Lachnospira,Ruminococcus,and Bacteroides(P＜0.05).High-dose SA also promoted the intestinal transit speed,and increased the levels of vasoactive intestinal peptide,5-hydroxytryptamine,and gamma-aminobutyric acid in serum.Conclusions SA intervention during pregnancy and the lactational period affects the intestinal transit speed of VPA-induced autism model rats,changes the structure of the gut microbiome,and increases the levels of vasoactive intestinal peptide,5-hydroxytryptamine,and gamma-aminobutyric acid.

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.