Objective: To explore the interaction between school bullying and insomnia in relation to depression-anxiety-stress emotions among primary and secondary school students,so as to provide a basis for preventing negative emotional states in adolescents. Methods: In October 2024, a stratified cluster sampling method was used to select 3 058 students in grade 5-6 of primary, junior and senior high school in Sheyang County of Jiangsu Province. The Delaware Bullying Victimization Scale, Insomnia Severity Index, Depression-Anxiety-Stress Scale-21, and Study Condition Questionnaire were employed to investigate school bullying, insomnia, depression-anxiety-stress emotions, and academic performance. The χ 2 test and Logistic regression were used to analyze the association between school bullying and insomnia interactions and depression-anxiety-stress emotions among primary and secondary school students, multiplicative interaction analysis was conducted, and additive interaction analysis was performed using R software. Results: The detection rates of depression-anxiety-stress emotions among primary and secondary school students were 21.6%, 28.4% and 10.8%, respectively. The detection rates of physical bullying, relationship bullying, verbal bullying and cyberbullying in school bullying were 10.6%, 14.0%, 22.3%, and 6.2%, respectively. The detection rate for insomnia was 23.1%. Results from Logistic regression analysis showed that, after adjusting for relevant factors, physical, relational, verbal, and cyberbullying and insomnia were positively correlated with the detection rates of depression ( OR = 5.72- 10.93), anxiety ( OR =6.35-12.17), and stress emotions ( OR =5.97-14.52) among primary and secondary school students (all P <0.01). The multiplicative interaction between physical, relational, verbal, and cyberbullying and insomnia was positively correlated with the detection rates of depression ( OR =8.00-18.01), anxiety ( OR =11.35-17.76), and stress emotions ( OR =7.64-9.12) in primary and secondary school students (all P <0.01). Additive interactions were observed between physical, relational, verbal, and cyberbullying and insomnia in relation to the detection rates of depression, anxiety, and stress emotions among primary and secondary school students (both RERI and AP >0 and the credible interval excluded 0, SI >1 and the credible interval excluded 1). Conclusion School bullying and insomnia are associated with depression, anxiety, and stress emotions among primary and secondary school students, and they exhibit both multiplicative and additive interactions.

Objective: To analyze the causes and distribution characteristics of leukopenia in apheresis platelet donors, and to formulate effective pre-donation intervention measures. Methods: The data of apheresis platelet donors with leukopenia in Dongguan Central Blood Station during the entire year of 2021 were collected. Combined with the results of peripheral blood smear examination, the related factors that may cause leukopenia were analyzed. Results: There were 57 apheresis platelet donors with leukopenia in peripheral blood, with an incidence of 1.53% (57/3 726). The rate of leukopenia showed no significant difference between male and female apheresis platelet donors (χ =0.627, P>0.05), and was not related to the frequency of platelet donation (χ =1.48, P>0.05). However, there were statistically significant differences in the rate of leukopenia across seasons (χ =10.13, P<0.05), highly significant differences among different age groups (χ =22.98, P<0.001), and a significant association with the number of apheresis platelet donations (χ =7.80, P<0.05). Multivariate logistic regression analysis showed that age (36-55 years old), number of donations (≥26 times), and season (first and fourth quarters) were independent risk factors for leukopenia in apheresis platelet donors, while gender had no significant independent effect on leukopenia. Peripheral blood smear examination was performed on all apheresis platelet donors with leukopenia, and primary malignant hematological diseases infiltrated into peripheral blood were excluded. Among them, two cases of peripheral blood smear showed left shift of granulocyte nucleus with increased and thickened granules, whereas the other 55 cases only showed decreased peripheral blood nucleated cell counts without obvious morphological abnormalities. Conclusion: Leukopenia in apheresis platelet donors mainly occurred in young and middle-aged people and those with ≥26 donations, with high incidence in winter and spring, and more common in males. Blood routine examination combined with blood smear examination can facilitate the detection of conditions that are not suitable for blood donation, including hematological malignant diseases and infection-related leukopenia. Strengthening health consultation before blood donation is an important measure to identify blood donors with leukopenia.

Objective: To identify the mimicking autoantibodies using papain-enhanced erythrocyte agglutination in a case of repeated red blood cell transfusion refractoriness, aiming to explore the immune hematological methods for identifying mimicking alloantibodies, autoantibodies and alloantibodies, and to develop a safe and effective blood transfusion strategy based on the results. Methods: ABO, RhD and RhEeCc blood groups were detected using routine blood group serological method. The unexpected antibodies in plasma were screened and identified, followed by identification using a two-step papain-treated indirect antiglobulin test (enzyme-IAT). The cause of transfusion refractoriness of red blood cells was analyzed and summarized, and the prognosis was followed up. Results: The patient's blood type was type A, CCDee. The direct antiglobulin test (DAT) was positive. Unexpected antibody screening and identification using saline tube method, polybrene method, IAT were negative, and the release fluid (acid release) IAT identification was negative. Mimicking anti-e antibodies in plasma was identified by enzyme-ITA. The cause of red blood cell transfusion refractoriness in patients was autoimmune hemolysis caused by mimicking anti-e antibodies. After choosing to avoid antibodies corresponding to antigen-positive red blood cells, the patient's hemoglobin (Hb) increase value is in line with theoretical expectations, indicating effective red blood cell transfusion. Conclusion: Mimicking antibodies can cause immune destruction of red blood cells by non-specific binding to their own red blood cells and specific binding to red blood cells, resulting in red blood cell transfusion refractoriness.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Objective To understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.

Objective To observe the value of hypoperfusion intensity ratio(HIR)of CT perfusion(CTP)for predicting infarct core progression and prognosis of acute ischemic stroke(AIS).Methods Totally 271 AIS patients were retrospectively enrolled and divided into rapid progression group(group A,n=92)and slow progression group(group B,n=179)according to infarction growth rate(IGR).Clinical data,CTP parameters,treatment strategies and patients' outcome were compared between groups.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of HIR for predicting rapid progression in infarct core of AIS.The mediating relationships among HIR,IGR and modified Rankin scale(mRS)90 days after treatment were analyzed.Results Significant differences of National Institute of Health stroke scale(NIHSS)score,Alberta stroke program early CT score(ASPECTS),also of interval time between onset and CTP,infarct core volume,hypoperfusion volume,HIR,whether intravenous thrombolysis and mRS score 90 days after treatments were found between groups(all P＜0.05).The AUC of HIR for predicting infarct core progression of AIS was 0.856,with sensitivity and specificity was 73.91％and 81.56％,respectively,when the optimal cutoff value was 0.42.IGR was a complete mediating variable between HIR and mRS score 90 days after treatment.Conclusion HIR of CTP could be used to effectively predict infarct core progression of AIS,which completely affected prognosis through mediating variable IGR.

Objective:This study aims to construct a monitoring index system for early child development(ECD)that is consistent with China's actual situation,to scientifically and systematically evaluate the level of ECD and service capacity in various regions.Methods:The study was predicated on the theoretical foundation of the Nutrition Care Framework(NCF).Indicators were initially selected through a literature review and focus group interviews.The evaluation indicators were then determined through two rounds of expert consultation utilising the Delphi method.The Priority Sequence Diagram Method(PSDM)was subsequently implemented to determine indicator weights.Results:The final framework encompasses six first-level indicators(good health,adequate nutrition,responsive caregiving,opportunities for learning,security and safety,and demand and investment),12 second-level indicators,and 31 third-level indicators.Conclusion:The ECD index system constructed in this study integrates macro,meso,and micro levels,emphasises cross-sectoral collaboration and attention to child caregivers,and incorporates equity indicators to measure regional disparities.The research outcomes provide a reference for quantitatively assessing the level of ECD and service capacity across various regions in China.By leveraging mechanisms for cross-sectoral collaboration and goal-oriented approaches,the study provides a framework for the allocation of resources to key areas,thus laying the foundation for the sustained implementation and resource assurance of the child-priority development strategy.

Objective:To analyze the anatomical characteristics and surgical management measures of acute Stanford type A aortic dissection (AAD) involving coronary arteries, and to preliminarily explore the clinical efficacy of different coronary artery treatment techniques.Methods:A retrospective analysis was conducted on the clinical data of 42 patients who underwent surgery for AAD involving coronary arteries in Hunan Provincial People′s Hospital from January 2022 to May 2025. They were divided into the MI group (14 cases) and the nMI group (28 cases) according to whether they had acute myocardial infarction before surgery. The clinical data such as the actual surgical methods and mortality in the two groups were summarized.Results:Among 294 surgeries, 42 cases (14.3%) had definite coronary artery involvement, including 14 cases in the MI group and 28 cases in the nMI group; 1 case had bilateral coronary artery involvement and 41 cases had right coronary artery involvement. Regarding injury types: 16 cases were of the coronary trunk compression type, 12 cases were of the sinus intimal tear neal to ostium type, and 14 cases were of the coronary trunk intimal type. There was no statistically significant difference in the types of coronary artery involvement between the two groups ( P>0.05). There were 18 cases of Sun′s procedure with preserved aortic sinus and aortic valve, 7 cases of Bentall procedure without bypass, and 17 cases of Bentall procedure plus bypass. There was no statistically significant difference in the surgical plans between the two groups ( P>0.05). There were 4 deaths within 30 days (2 cases in each group). Conclusions:AAD involving coronary arteries is a critical condition, and accurate diagnosis is somewhat difficult. Myocardial ischemia is not significantly associated with the type of coronary artery involvement. The surgical plan depends on the type of coronary artery involvement. The classification method in this study is conducive to selecting appropriate surgical methods and improving surgical prognosis.

Objectives:To investigate the predictive value of Murray's law-based quantitative flow ratio(μQFR)in side branches for long-term clinical prognosis in patients with non-left main bifurcation lesions who underwent simple main branch stenting,and to provide a potential functional assessment standard for intervention decision-making on coronary bifurcation lesions.Methods:A retrospective analysis was conducted in 408 patients with non-left main bifurcation lesions who underwent simple main branch stenting at Lianyungang First People's Hospital and Nanjing First Hospital between July 2018 and January 2021.The study utilized third-generation QFR software to analyze pre-and post-procedure anatomical and functional parameters of the target lesion's main branch and key branches.The primary endpoint was target vessel failure(TVF)events during the 3-year follow-up.Patients were stratified into TVF and non-TVF groups.Baseline characteristics,procedural data,and pre-/post-procedural parameters of target vessels were compared between groups.Multivariable Cox regression was performed to identify predictors of TVF.Diagnostic efficacy of predictors was evaluated using area under the receiver operating characteristic(ROC)curve(AUC)with DeLong's method for comparison.Patients were dichotomized based on the optimal cutoffof post-procedural side branch μQFR,with TVF incidence rates compared via Cox regression and Kaplan-Meier analysis.Results:During 3-year follow-up,54 patients(13.2%)experienced TVF(TVF group),data were compared with 354 patients(86.76%)without TVF(non-TVF group).The TVF group showed higher post-procedural side branch diameter stenosis([32.93±17.80]%vs.[22.62±11.96]%,P<0.001)and lower μQFR(0.80±0.10 vs.0.89±0.07,P<0.001).Multivariate Cox regression identified higher post-procedural side branch μQFR as an independent protective factor against 3-year TVF(per 0.01 increase:HR=0.903,95%CI:0.850-0.959,P<0.001).ROC curves indicated that post-procedural side branch μQFR had moderate diagnostic efficacy for predicting 3-year TVF(AUC=0.769,95%CI:0.678-0.861,P<0.001),with a significantly higher AUC value than post-operative side branch area stenosis and minimal lumen diameter(both P<0.001),the optimal cutoffvalue was 0.84.Multivariate Cox regression and Kaplan-Meier survival analysis revealed markedly higher 3-year TVF rates in patients with μQFR≤0.84 compared to patients with μQFR>0.84(HR=4.007,95%CI:2.342-6.855,P<0.001;28.3%vs.7.9%,log-rank P<0.001).Conclusions:For patients with bifurcation lesions not involving the left main,the immediate post-procedural side branch μQFR could better predict 3-year TVF than anatomical indices.Maintaining post-stenting side branch μQFR>0.84 may optimize clinical outcomes when using a single-stent strategy.

Objective:To assess common errors in head and neck CT angiography (CTA) image reports using four types of large language models (LLM), namely GPT-4, DeepSeek, ERNIE Bot and SparkDesk, and to assess the feasibility of using existing LLMs to support quality control of radiology reports in Chinese.Methods:The study was a cross-sectional study. Totally 1 000 head and neck CTA image reports were randomly selected using the simple random sampling method from Xuanwu Hospital, Capital Medical University in 2023, including 500 primary reports and 500 finalized reports. Two radiologists collaboratively identified six types of errors in the reports: description errors, writing errors, left-right confusion errors, diagnostic omissions, logical sequence errors, and other errors. The overall quality of the reports was assessed using a 5-point Likert scale. Subsequently, GPT-4, DeepSeek, ERNIE Bot and SparkDesk models were employed to detect the same six types of errors in the imaging reports and to provide overall scoring. The results from manual review were considered the gold standard for calculating F1 score to evaluate model performance. Intra-class correlation coefficients ( ICC) were used to assess the consistency between manual scores and the overall scores from the four LLMs. Results:In the primary imaging reports, the proportions of manually detected errors were as follows: descriptive errors 2.6% (13/500), writing errors 0.6% (3/500), left-right confusion errors 0, diagnostic omissions 6.4% (32/500), logical sequence errors 5.2% (26/500), and other errors 0. In the finalized imaging reports, the proportions of errors across the six categories were 0.2% (1/500), 0, 0, 0, 0, and 0.2% (1/500), respectively. For error detection in the primary imaging reports, the F1 scores of GPT-4 for the six error types were 0.992, 0.997, 0.997, 0.967, 0.980, and 0.992, respectively. DeepSeek achieved F1 scores of 0.980, 0.955, 0.981, 0.920, 0.995, and 0.960; ERNIE Bot scored 0.982, 0.990, 1.000, 0.956, 0.976, and 0.999; and SparkDesk achieved 0.985, 0.995, 1.000, 0.961, 0.982, and 1.000. In the detection of errors in finalized imaging reports, GPT-4′s F1 scores were 0.994, 0.995, 0.998, 0.973, 0.989, and 0.993; DeepSeek scored 0.968, 0.965, 0.985, 0.971, 0.991, and 0.983; ERNIE Bot achieved 0.996, 0.992, 1.000, 0.983, 0.999, and 0.997; and SparkDesk achieved 0.999, 0.999, 1.000, 1.000, 1.000, and 0.999. The consistency between GPT-4, DeepSeek, and SparkDesk models and human ratings was moderate, with ICC values of 0.514, 0.560, and 0.515 respectively (all P0.001); in contrast, the overall score of ERNIE Bot showed poor consistency with human ratings, with an ICC of 0.221 ( P0.001). Conclusion:LLMs demonstrate high accuracy in detecting errors in head and neck CTA imaging reports. The overall scoring of report quality shows moderate consistency with manual assessments, indicating a certain feasibility for automated quality control in reporting.