ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective To evaluate the diagnostic performance of the 1997 American College of Rheumatology(ACR)criteria,the 2012 Systemic Lupus International Collaborating Clinics(SLICC)criteria,and the 2019 European League Against Rheumatism(EULAR)/ACR criteria for childhood systemic lupus erythematosus(cSLE)in Southwest China.Methods A retrospective analysis was conducted with 264 cSLE patients and 237 non-cSLE patients with connective tissue disease receiving treatment at West China Second University Hospital,Sichuan University between January 2013 and December 2022.The sensitivity,specificity,positive/negative predictive values,and accuracy of the three classification criteria were compared.Stratified analyses by sex and age were performed to comprehensively assess the diagnostic performance of the three classification criteria.Furthermore,receiver operating characteristic(ROC)curve analysis was performed to determine the optimal cut-off value for maximizing the sensitivity of the EULAR/ACR-2019 criteria.Results The SLICC-2012 criteria demonstrated higher sensitivity(93.9%vs.76.5%vs.90.2%)and accuracy(95.4%vs.87.4%vs.93.8%)compared to the ACR-1997 and EULAR/ACR-2019 criteria,while the ACR-1997 criteria showed the highest specificity(99.5%).Stratified analysis revealed stable sensitivity(94%-96%)for the SLICC-2012 criteria across sex and prepubertal subgroups.Removing the entry criterion of antinuclear antibody(ANA)≥1∶80 or adjusting the total score cut-off value to≥13(original score>10)improved the sensitivity of the EULAR/ACR-2019 criteria.Conclusion The SLICC-2012 criteria exhibited optimal diagnostic performance for cSLE in Southwest China.Modifying the cut-off value and entry requirements of the EULAR/ACR-2019 criteria could enhance its applicability in pediatric populations.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

ObjectiveTo evaluate the efficacy and safety of Xiaoji Hufei Formula in protecting children with close contact exposure to influenza， and to provide reference and evidence-based support for better clinical prevention and treatment of influenza in children. MethodsA multicenter， prospective， non-randomized， parallel， controlled trial was conducted from October 2021 to May 2022 in five hospitals， including Dongfang Hospital of Beijing University of Chinese Medicine. Confirmed influenza cases and influenza-like illness （ILI） cases were collected， and eligible children with close contact exposure to these cases were recruited in the outpatient clinics. According to whether the enrolled close contacts were willing to take Xiaoji Hufei formula for influenza prevention， they were assigned to the observation group （108 cases） or the control group （108 cases）. Follow-up visits were conducted on days 7 and 14 after enrollment. The primary outcomes were the incidence of ILI and the rate of laboratory-confirmed influenza. Secondary outcomes included traditional Chinese medicine （TCM） symptom score scale for influenza， influenza-related emergency （outpatient） visit rate， influenza hospitalization rate， and time to onset after exposure to influenza cases. ResultsA total of 216 participants were enrolled， with 108 in the observation group and 108 in the control group. Primary outcomes： （1） Incidence of ILI： The incidence was 12.0% （13/108） in the observation group and 23.1% （25/108） in the control group， with the observation group showing a significantly lower incidence （χ²=4.6， P<0.05）. （2） Influenza confirmation rate： 3.7% （4/108） in the observation group and 4.6% （5/108） in the control group， with no statistically significant difference. Secondary outcomes： （1） TCM symptom score scale： after onset， nasal congestion and runny nose scores differed significantly between the two groups （P<0.05）， while other symptoms such as fever， sore throat， and cough showed no significant differences. （2） Influenza-related emergency （outpatient） visit rate： 84.6% （11 cases） in the observation group and 96.0% （24 cases） in the control group， with no significant difference. （3） Time to onset after exposure： The median onset time after exposure to index patients was 7 days in the observation group and 4 days in the control group， with a statistically significant difference （P<0.05）. ConclusionIn previously healthy children exposed to infectious influenza cases under unprotected conditions， Xiaoji Hufei formula prophylaxis significantly reduced the incidence of ILI. Xiaoji Hufei Formula can be recommended as a specific preventive prescription for influenza in children.

Objective:To evaluate the clinical status of long-term oral anticoagulant management in patients with atrial fibrillation, and to analyze the obstacles and promoting factors in the implementation of evidence, so as to provide evidence for clinical transformation.Methods:This study was a cross-sectional study. Through the evidence-based nursing method, guided by the Ottawa Model, the review indicators and review methods were developed based on the best evidence. The clinical status review of 100 patients who met the inclusion criteria in the Department of Cardiology, Affiliated Hospital of Jiangsu University was conducted from August to November 2022 using a convenience sampling method, and based on the results of the review, an analysis of obstacles and promoting factors was carried out to develop a clinical response.Results:This study included 100 patients with atrial fibrillation, 60 males and 40 females, aged (70.14 ± 10.39) years. Totally 26 best items were included, and 24 review indicators were developed, among which only 4 indicators had a compliance rate of 100% , 2 indicators had a compliance rate of >60% , 5 indicators had a compliance rate of <60% , and 13 indicators had a compliance rate of 0. According to the results of the review, a comprehensive and systematic analysis was conducted from the three dimensions of system, practitioners, patients and family members. For each dimension, obstacles and promoting factors were analyzed in depth from evidence-based change, potential adopters and practical environment.Conclusions:There is a gap between the best evidence and clinical status of long-term oral anticoagulant management in patients with atrial fibrillation. In-depth analysis of obstacle factors, formulate countermeasures, and promote the efficient implementation of evidence in clinical practice.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective:To evaluate the clinical status of long-term oral anticoagulant management in patients with atrial fibrillation, and to analyze the obstacles and promoting factors in the implementation of evidence, so as to provide evidence for clinical transformation.Methods:This study was a cross-sectional study. Through the evidence-based nursing method, guided by the Ottawa Model, the review indicators and review methods were developed based on the best evidence. The clinical status review of 100 patients who met the inclusion criteria in the Department of Cardiology, Affiliated Hospital of Jiangsu University was conducted from August to November 2022 using a convenience sampling method, and based on the results of the review, an analysis of obstacles and promoting factors was carried out to develop a clinical response.Results:This study included 100 patients with atrial fibrillation, 60 males and 40 females, aged (70.14 ± 10.39) years. Totally 26 best items were included, and 24 review indicators were developed, among which only 4 indicators had a compliance rate of 100% , 2 indicators had a compliance rate of >60% , 5 indicators had a compliance rate of <60% , and 13 indicators had a compliance rate of 0. According to the results of the review, a comprehensive and systematic analysis was conducted from the three dimensions of system, practitioners, patients and family members. For each dimension, obstacles and promoting factors were analyzed in depth from evidence-based change, potential adopters and practical environment.Conclusions:There is a gap between the best evidence and clinical status of long-term oral anticoagulant management in patients with atrial fibrillation. In-depth analysis of obstacle factors, formulate countermeasures, and promote the efficient implementation of evidence in clinical practice.

OBJECTIVE To investigate the effects of the peroxisome proliferator-activated receptors δ （PPARδ） agonist GW501516 on the injury of pulmonary artery endothelial cells （PAECs） induced by hypoxia and its mechanism. METHODS The cytotoxic effects of GW501516 were observed by detecting the relative survival rate of PAECs； the protein expression of PPARδ was determined by Western blot assay. The cellular model of PAECs injury was established under hypoxic conditions； using antioxidant N-acetylcysteine （NAC） as positive control， the effects of GW501516 on cell injury and reactive oxygen species （ROS） production were investigated by detecting cell apoptotic rate， cell viability， lactate dehydrogenase （LDH） activity and ROS levels. Using nuclear factor erythroid 2-related factor 2（Nrf2） activator dimethyl fumarate （DMF） as positive control， PAECs were incubated with GW501516 and/or Nrf2 inhibitor ML385 under hypoxic conditions； the mechanism of GW501516 on PAECs injury induced by hypoxia was investigated by detecting cell injury （cell apoptosis， cell viability， LDH activity）， the levels of superoxide dismutase （SOD）， glutathione peroxidase （GPx）， catalase （CAT）， malondialdehyde （MDA） and ROS， the expressions of Nrf2， heme oxygenase-1 （HO-1） and cleaved-caspase-3 （C-caspase-3） protein. RESULTS The results demonstrated that hypoxia inhibited the protein expression of PPARδ （P＜0.05）， while GW501516 promoted the protein expression of PPARδ in hypoxia- exposed PAECs without obvious cytotoxic effects. GW501516 inhibited the apoptosis of PAECs， improved cell viability， and reduced LDH activity and ROS levels. GW501516 could up-regulate the protein expression of HO-1 in PAECs and the levels of SOD， GPx and CAT， while down-regulated the levels of MDA and ROS by activating the Nrf2 pathway （P＜0.05）； but Nrf2 inhibitor ML385 could reverse the above effects of GW501516 （P＜0.05）. GW501516 exerted similar effects to Nrf2 activator DMF in down-regulating the expression of C-caspase-3 and inhibiting the injury of PAECs under conditions of hypoxia （P＜0.05）. Moreover， Nrf2 inhibitor ML385 reversed the 163.com inhibition effects of GW501516 on PAECs injury （P＜0.05）. CONCLUSIONS GW501516 can relieve the hypoxia-induced injury of PAECs via the inhibition of oxidative stress， the mechanism of which may be associated with activating Nrf2.

Humans ; Urinary Bladder Neoplasms/pathology* ; Carcinoma, Transitional Cell/pathology* ; Genetic Markers ; Biomarkers, Tumor/genetics* ; Urothelium/pathology*