Objective: To investigate the current knowledge status of transfusion medicine among pediatricians/postgraduates and the reliability of large language models (LLMs) for assisted learning, and to assess changes in pediatricians' transfusion medicine knowledge before and after the implementation of the "Pediatric Transfusion Guideline" (hereafter referred to as the "Guideline"). Methods: In January 2022 (prior to the implementation of the "Guideline"), a questionnaire was developed based on the "Guideline" content and distributed to pediatricians. Subsequently, in July 2025 (after the implementation of the "Guideline"), the "Pediatric Transfusion Medicine Knowledge Questionnaire" was designed based on the content of the January 2022 questionnaire. This questionnaire survey was conducted on pediatricians/postgraduates and LLMs. We analyzed the level of transfusion medicine knowledge among pediatricians/postgraduates and the reliability of LLMs for assisted learning, and compared the accuracy of pediatricians' responses before and after "Guideline" implementation. Results: The survey results after the implementation of the "Guidelines" revealed that pediatricians/postgraduates achieved response accuracy rates exceeding 80% on the topic of "Patient Blood Management". However, response accuracy rates were below 30% for topics including "Types and Indications of Blood Components/Products" and "E-valuation of Transfusion Efficacy". The pediatricians' accuracy rates for related questions before and after the implementation of the "Guidelines" were 14.7%-68.9% and 3%-38%, respectively, and the comparison of accuracy rates for each question showed significant differences (P<0.001). The accuracy rates of the LLMs on the questionnaire were all below 90%. Among them, Doubao (81.1%) and Kimi (86.4%) achieved relatively higher accuracy rates, while Tencent Yuanbao (Hunyuan) had the lowest accuracy rate at only 59.5%. Conclusion: The implementation of the "Guideline" may have improved pediatricians' knowledge level of pediatric transfusion medicine. However, their knowledge level of pediatric transfusion remains low, and LLMs cannot yet provide absolutely reliable guidance. Systematic training in pediatric transfusion medicine is urgently needed.

OBJECTIVE To analyze the current quality status and existing problems of literature on clinical comprehensive evaluation studies of Chinese patent medicines （CPMs）， and to provide a reference for optimizing the research design and improving the reporting quality.METHODS Articles on clinical comprehensive evaluation of CPMs published from January 1， 2020 to December 31， 2025 were systematically searched in CNKI， Wanfang Data， VIP and Chinese Medical Journal Full-text Database. An evaluation framework was constructed based on reporting completeness， content standardization and research transparency. The basic characteristics of the literature and the reporting information of each evaluation item were extracted item by item， and descriptive statistical analysis was performed.RESULTS A total of 107 articles were included， involving 146 CPMs. The number of articles showed an increasing trend year by year， and the research field mainly focused on cardiovascular and cerebrovascular diseases （33 articles ， 30.8%）. There were 99 articles evaluating a single drug and 8 articles conducting horizontal comparison among multiple drugs. The reporting of abstract sections and evaluation result items such as safety and effectiveness were relatively sufficient， with reporting rates mostly above 98%. However， the reporting rates of items such as guideline recommendations （59.8%）， the dimension of traditional Chinese medicine characteristics （64.5%） and conflict of interest statements （39.3%） were relatively low， and the reporting of process items such as evidence collection， evidence synthesis and quality control was also insufficient （69.2%-76.6%）.CONCLUSIONS The existing literature on clinical comprehensive evaluation of CPMs have initially formed a framework centered on the “6+1” dimensions， and the reporting of core evaluation contents is relatively complete. However， deficiencies remain in the presentation of guideline evidence and the disclosure of conflicts of interest， and the structured expression of the traditional Chinese medicine characteristic dimension also needs to be improved. In the future， reporting transparency， methodological reproducibility should be further strengthened， and the scope of application should be clearly defined， so as to enhance the value of evaluation results in informing clinical and policy decision-making.

Wastewater-based epidemiology has emerged as a transformative surveillance tool for estimating substance consumption and monitoring disease prevalence, particularly during the COVID-19 pandemic. It enables the population-level monitoring of illicit drug use, pathogen prevalence, and environmental pollutant exposure. In this perspective, we summarize the key challenges specific to the Chinese context: (1) Sampling inconsistencies, necessitating standardized 24-hour composite protocols with high-frequency autosamplers (≤ 15 min/event) to improve the representativeness of samples; (2) Biomarker validation, requiring rigorous assessment of excretion profiles and in-sewer stability; (3) Analytical method disparities, demanding inter-laboratory proficiency testing and the development of automated pretreatment instruments; (4) Catchment population dynamics, reducing estimation uncertainties through mobile phone data, flow-based models, or hydrochemical parameters; and (5) Ethical and data management concerns, including privacy risks for small communities, mitigated through data de-identification and tiered reporting platforms. To address these challenges, we propose an integrated framework that features adaptive sampling networks, multi-scale wastewater sample banks, biomarker databases with multidimensional metadata, and intelligent data dashboards. In summary, wastewater-based epidemiology offers unparalleled scalability for equitable health surveillance and can improve the health of the entire population by providing timely and objective information to guide the development of targeted policies.
China/epidemiology* ; Humans ; Wastewater/analysis* ; COVID-19/epidemiology* ; Public Health ; Wastewater-Based Epidemiological Monitoring ; SARS-CoV-2

To investigate the effects of zearalenone(ZEA)on the proliferation and apoptosis of sika deer antler chondrocytes,the chondrocytes were isolated and cultured in vitro and treated with 50μmol/L ZEA for 24 h.Flow cytometry was used to assess cell proliferation,cell cycle,apoptosis,mitochondrial membrane potential,and intracellular levels of reactive oxygen species(ROS).The expression changes of hypertrophic cartilage cell marker genes Col X,Runx2,Alpl,and apoptosis-related genes Casp-3,Bax,Bcl-2 were measured using quantitative PCR.Additionally,glutathione reductase(GR)activity and the levels of the oxidative stress marker malondialdehyde(MDA)were determined.The results showed that after 24 h of ZEA treatment,cell proliferation was sig-nificantly inhibited,with an increase in the number of cells in the G0/G1 phase and a decrease in the S phase.The expression levels of hypertrophic chondrocyte marker genes Col X,Runx2 and Al-pl were significantly increased.Apoptosis rate was significantly increased,with elevated expression of pro-apoptotic genes Casp-3,Bax and reduced expression of the anti-apoptotic gene Bcl-2.The content of MDA in the antler chondrocytes increased,ROS levels rose,and GR activity decreased.The mitochondrial membrane potential reduced.The results suggested that ZEA could inhibit the proliferation of antler chondrocytes and promote the apoptosis by regulating cellular oxidative stress responses and the expression of apoptosis-related genes.

Objective To evaluate the effectiveness of low-volume high-intensity interval training(LV-HIIT)protocols defined by the W'Balance(W'BAL)model in achieving maximal activation of both anaerobic and aerobic energy systems.Methods Twenty-eight national-level athletes(age:20±1 years old;height:174±9 cm;weight:65.1±9.4 kg)completed an incremental exercise test,followed by six supra-critical power(supra-CP)and five sub-CP constant-load tests to determine VO2max,maximal accumulated oxygen deficit(MAOD),critical power(CP),and W prime(W').They then performed three randomly ordered LV-HIIT protocols(each of 4-minute total duration),with a 10-second inter-val for passive recovery between bouts.The protocols consisted of 10s(HIIT10/10),20s(HIIT20/10),and 30 s(HIIT30/10).Exercise intensities were individually prescribed using the W'BAL model.Accu-mulated oxygen deficit(AOD)and net AOD(NAOD)were calculated for each protocol.Results Final 10-s oxygen uptake(VO2)reached 77％,88％,and 89％of VO2max in HIIT10/10,HIIT20/10,and HIIT30/10,respectively(P<0.05).VO2 in HIIT10/10 was significantly lower than in HIIT20/10 and HIIT30/10(P<0.05),with no significant difference between the latter two(P>0.05).AOD did not differ significantly from MAOD among the three protocols(P>0.05),whereas NAOD was significantly lower than MAOD in all cases(P<0.05).Additionally,NAOD in HIIT10/10 was significantly lower than in HIIT20/10 and HI-IT30/10(P<0.05),with no significant difference between the latter two(P>0.05).Conclusion The HIIT20/10 and HIIT30/10 intensity established by the W'BAL model can substantially elicit maximal activation of both anaerobic and aerobic energy systems.While the W'BAL model demonstrates potential for set-ting exercise intensities in LV-HIIT,future studies are necessary to develop specific W'recovery rate models for targeted populations and to refine CP models that are better suited for intermittent exercises.

To investigate the effects of zearalenone(ZEA)on the proliferation and apoptosis of sika deer antler chondrocytes,the chondrocytes were isolated and cultured in vitro and treated with 50μmol/L ZEA for 24 h.Flow cytometry was used to assess cell proliferation,cell cycle,apoptosis,mitochondrial membrane potential,and intracellular levels of reactive oxygen species(ROS).The expression changes of hypertrophic cartilage cell marker genes Col X,Runx2,Alpl,and apoptosis-related genes Casp-3,Bax,Bcl-2 were measured using quantitative PCR.Additionally,glutathione reductase(GR)activity and the levels of the oxidative stress marker malondialdehyde(MDA)were determined.The results showed that after 24 h of ZEA treatment,cell proliferation was sig-nificantly inhibited,with an increase in the number of cells in the G0/G1 phase and a decrease in the S phase.The expression levels of hypertrophic chondrocyte marker genes Col X,Runx2 and Al-pl were significantly increased.Apoptosis rate was significantly increased,with elevated expression of pro-apoptotic genes Casp-3,Bax and reduced expression of the anti-apoptotic gene Bcl-2.The content of MDA in the antler chondrocytes increased,ROS levels rose,and GR activity decreased.The mitochondrial membrane potential reduced.The results suggested that ZEA could inhibit the proliferation of antler chondrocytes and promote the apoptosis by regulating cellular oxidative stress responses and the expression of apoptosis-related genes.

Objective To evaluate the effectiveness of low-volume high-intensity interval training(LV-HIIT)protocols defined by the W'Balance(W'BAL)model in achieving maximal activation of both anaerobic and aerobic energy systems.Methods Twenty-eight national-level athletes(age:20±1 years old;height:174±9 cm;weight:65.1±9.4 kg)completed an incremental exercise test,followed by six supra-critical power(supra-CP)and five sub-CP constant-load tests to determine VO2max,maximal accumulated oxygen deficit(MAOD),critical power(CP),and W prime(W').They then performed three randomly ordered LV-HIIT protocols(each of 4-minute total duration),with a 10-second inter-val for passive recovery between bouts.The protocols consisted of 10s(HIIT10/10),20s(HIIT20/10),and 30 s(HIIT30/10).Exercise intensities were individually prescribed using the W'BAL model.Accu-mulated oxygen deficit(AOD)and net AOD(NAOD)were calculated for each protocol.Results Final 10-s oxygen uptake(VO2)reached 77％,88％,and 89％of VO2max in HIIT10/10,HIIT20/10,and HIIT30/10,respectively(P<0.05).VO2 in HIIT10/10 was significantly lower than in HIIT20/10 and HIIT30/10(P<0.05),with no significant difference between the latter two(P>0.05).AOD did not differ significantly from MAOD among the three protocols(P>0.05),whereas NAOD was significantly lower than MAOD in all cases(P<0.05).Additionally,NAOD in HIIT10/10 was significantly lower than in HIIT20/10 and HI-IT30/10(P<0.05),with no significant difference between the latter two(P>0.05).Conclusion The HIIT20/10 and HIIT30/10 intensity established by the W'BAL model can substantially elicit maximal activation of both anaerobic and aerobic energy systems.While the W'BAL model demonstrates potential for set-ting exercise intensities in LV-HIIT,future studies are necessary to develop specific W'recovery rate models for targeted populations and to refine CP models that are better suited for intermittent exercises.

With the rapid development of artificial intelligence technology, its applications in medical imaging have become increasingly extensive. This review aimed to analyze the current development status and future direction of intelligent imaging technology by investigating its application in various medical departments. To achieve this, we conducted a comprehensive search of various data sources up to 2024, including PubMed, Web of Science, and Google Scholar, based on the principle of comprehensive search. A total of 332 articles were screened, and after applying the inclusion and exclusion criteria, 56 articles were selected for this study. According to the findings, intelligent imaging technology exhibits robust image recognition capabilities, making it applicable across diverse medical imaging modalities within hospital departments. This technology offers an efficient solution for the analysis of various medical images by extracting and accurately identifying complex features. Consequently, it significantly aids in the detection and diagnosis of clinical diseases. Its high accuracy, sensitivity, and specificity render it an indispensable tool in clinical diagnostics and related tasks, thereby enhancing the overall quality of healthcare services. The application of intelligent imaging technology in healthcare significantly enhances the efficiency of clinical diagnostics, resulting in more accurate and timely patient assessments. This advanced technology offers a faster and more precise diagnostic approach, ultimately improving patient care and outcomes. This review analyzed the socioeconomic changes brought about by intelligent imaging technology to provide a more comprehensive evaluation. Also, we systematically analyzed the current shortcomings of intelligent imaging technology and its future development directions, to enable future research.
Humans ; Artificial Intelligence ; Diagnostic Imaging/methods* ; Hospitals

Background::Oral anti-coagulants (OAC) are the intervention for the prevention of stroke, which consistently improve clinical outcomes and survival among patients with atrial fibrillation (AF). The main purpose of this study is to identify problems in OAC utilization among hospitalized patients with AF in China.Methods::Using data from the Improving Care for Cardiovascular Disease in China-Atrial Fibrillation (CCC-AF) registry, guideline-recommended OAC use in eligible patients was assessed.Results::A total of 52,530 patients with non-valvular AF were enrolled from February 2015 to December 2019, of whom 38,203 were at a high risk of stroke, 9717 were at a moderate risk, and 4610 were at a low risk. On admission, only 20.0% (6075/30,420) of patients with a diagnosed AF and a high risk of stroke were taking OAC. The use of pre-hospital OAC on admission was associated with a lower risk of new-onset ischemic stroke/transient ischemic attack among the diagnosed AF population (adjusted odds ratio: 0.54, 95% confidence interval: 0.43–0.68; P <0.001). At discharge, the prescription rate of OAC was 45.2% (16,757/37,087) in eligible patients with high stroke risk and 60.7% (2778/4578) in eligible patients with low stroke risk. OAC utilization in patients with high stroke risk on admission or at discharge both increased largely over time (all P <0.001). Multivariate analysis showed that OAC utilization at discharge was positively associated with in-hospital rhythm control strategies, including catheter ablation (adjusted odds ratio [OR] 11.63, 95% confidence interval [CI] 10.04–13.47; P <0.001), electronic cardioversion (adjusted OR 2.41, 95% CI 1.65–3.51; P <0.001), and anti-arrhythmic drug use (adjusted OR 1.45, 95% CI 1.38–1.53; P <0.001). Conclusions::In hospitals participated in the CCC-AF project, >70% of AF patients were at a high risk of stroke. Although poor performance on guideline-recommended OAC use was found in this study, over time the CCC-AF project has made progress in stroke prevention in the Chinese AF population.Registration::ClinicalTrials.gov, NCT02309398.

Objective To analyze the relationship of lipoprotein(a)[Lp(a)]with poor prognosis in chronic heart failure(CHF)patients aged over 80 years,and explore the influencing factors for poor prognosis in these patients.Methods A total of 135 over-80-year-old patients with acute de-compensated CHF admitted in Tianjin University Chest Hospital from June 2018 to August 2021 were enrolled in this study.With Lp(a)300 mg/L as the cut-off value,they were divided into higher Lp(a)group(73 cases)and lower Lp(a)group(62 cases).Their baseline clinical data and outcomes after 12 months of follow-up were collected.The primary endpoint was composite end-point including re-hospitalization due to CHF and/or all-cause mortality.Kaplan-Meier survival curve were plotted to compare the survival rates between the two groups.Logistic regression anal-ysis was employed to analyze the risk factors of poor prognosis in these patients.Results The higher Lp(a)group had larger proportion of chronic kidney disease and higher levels of homocys-teine,total cholesterol and low-density lipoprotein-cholesterol than the lower Lp(a)group(P＜0.05).Kaplan-Meier survival analysis showed that the lower group obtained significantly longer 1-year survival time without primary endpoint events than the higher group[9.8 months(95％CI:8.884-10.665)vs 8.2 months(95％CI:7.057-9.272),P＜0.05].Multivariate logistic regression analysis revealed that Lp(a)≥300 mg/L(OR=2.841,95％CI:1.133-7.092,P=0.026),female(OR=2.809,95％CI:1.111-7.092,P=0.029)and use of diuretic(OR=4.631,95％CI:1.103-19.443,P=0.036)were independent risk factors for primary endpoint events within 1 year.Con-clusion Lp(a)≥300 mg/L is an independent risk factor for re-hospitalization due to CHF and/or all-cause mortality in elderly CHF patients within 1 year after discharge.