ObjectiveTo explore the effects of "dryness pathogen" on a bronchial asthma rat model from the perspective of the prostaglandin D₂ （PGD₂）/eosinophil （EOS） axis. MethodsForty SD rats were randomly divided into five groups， blank group， asthma group， mild dryness asthma group， moderate dryness asthma group， and severe dryness asthma group， with 8 rats in each group. The asthma model was induced in the asthma group using ovalbumin （OVA）， while the asthma-dryness syndrome groups were modeled using a climate chamber combined with OVA to establish animal models of bronchial asthma with Northwest dryness syndrome. During modeling， general behavioral performance of the rats in each group was observed and recorded， and body weight， water intake， and asthma symptom scores were compared. On day 21 of the modeling， small animal respiratory system testing was used to measure respiratory rate and intermittent respiratory contraction index. Pathological changes in rat lung tissues were observed using HE staining. Giemsa staining was used to observe eosinophil （EOS） infiltration in lung tissues and calculate EOS counts. ELISA was used to detect serum levels of prostaglandin D₂ （PGD₂）， interleukin-5 （IL-5）， and interleukin-4 （IL-4）. Western Blot was used to detect eosinophil peroxidase （EPX） and prostaglandin D₂ receptor （CRTH2） protein levels in rat lung tissues. ResultsCompared to the blank group， the average water intake of rats in all asthma-dryness groups increased （P＜0.01）. The body weight of rats decreased in the moderate and severe asthma-dryness groups on day 14， and in all modelling groups on day 21 （P＜0.05 or P＜0.01）. Across all model groups， the asthma symptom score， respiratory rate， intermittent respiratory contraction index， EOS count in lung tissue， serum levels of PGD₂， IL-5， and IL-4， as well as the relative protein expression levels of EPX and CRTH2 in lung tissue all significantly increased （P＜0.01）. Compared to the asthma group， the water intake of rats in the mild， moderate， and severe asthma-dryness groups increased （P＜0.01）. On day 21 of the experiment， the body weight of rats in the moderate and severe asthma-dryness groups decreased （P＜0.05）， and the respiratory rate of rats in all asthma-dryness groups increased， as well as the serum levels of PGD₂， IL-5， and IL-4， and the relative protein expression levels of EPX and CRTH2 in lung tissues （P＜0.05 or P＜0.01）. Furthermore， in the moderate and severe asthma-dryness groups， the asthma symptom scores and intermittent respiratory contraction indices were elevated， and the EOS counts in lung tissue increased （P＜0.05 or P＜0.01）. Compared to the mild asthma-dryness group， serum levels of PGD₂， IL-5， and IL-4 in the severe asthma-dryness group increased， as well as the relative protein expression levels of EPX and CRTH2 in lung tissue （P＜0.05 or P＜0.01）. Pathological observation showed that rats in all asthma-dryness syndrome groups exhibited increased inflammatory infiltration in the lung tissue， alveolar wall thickening， luminal narrowing， pulmonary interstitial congestion， and aggravated viscous secretions. These pathological manifestations worsened as the degree of dryness increased. ConclusionThe "dryness pathogenic factor" can exacerbate bronchial asthma symptoms and lung tissue pathological damage through the PGD₂/EOS axis， and the damage progressively worsens with the increasing severity of the dryness pathogen.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

OBJECTIVE To summarize the process of investigation,disposal and prevention of a cluster incident of post-operative incision infection following microtia plastic surgery in the otorhinolaryngology department of a terti-ary care hospital,in order to provide a basis for hospital-aquired infection prevention and control.METHODS An epidemiological survey was conducted on seven patients who underwent otorhinolaryngoplasty for microtia in the ENT department of a tertiary care hospital from 27 Jul.to 7 Sep.2023,and interventions were implemented.RESULTS The incidence rate of infection was 71.43％among post-otorhinolaryngoplasty patients.In 5 patients,area for electrocoagulation of haemostatic increased by approximately 50％compared to the previous period,and drainage tubes were left in the surgical area for 11 to 13 days.Patients changed dressings in a shared dressing room.Pseudomonas aeruginosa was detected in three of the infected patients,and their antibiotic sensitivity pat-terns were similar to that of a lower respiratory tract infection patient(case 0)in the same department.CONCLUSION Inadequate aseptic practice by medical staff,longer retention of drainage tubes,incomplete disin-fection of the environment of the dressing room,and changes in surgical procedures may be the primary factors contributing to the occurrence of this cluster of infections.

AIM:This study investigated the role of solute carrier family 7 member 11(SLC7A11)in sul-fasalazine(SAS)-induced ferroptosis in acute myeloid leukemia(AML)cells,focusing on the inhibitory effect of nuclear factor E2-related factor 2(NRF2)nuclear translocation-mediated activation of SLC7A11 on ferroptosis and its underlying mechanisms.METHODS:SAS-induced proliferation in AML cell lines,Kasumi-1 and THP-1,was assessed using the MTS assay.Cell death inhibitors were employed to determine the mode of cell death.Lipid reactive oxygen species(ROS)levels were measured by flow cytometry;Fe2+,malonodialdehyde(MDA),glutathione(GSH)levels,and glutathione per-oxidase 4(GPX4)activity were assessed using micromethods.Quantitative PCR(qPCR)was performed to evaluate changes in SLC7A11 mRNA during SAS-induced ferroptosis,while Western blot measured SLC7A11 and GPX4 protein levels.Moreover,Western blot assessed NRF2 nuclear translocation post-SAS treatment.The NRF2 inhibitor ML385 was used to validate these effects.SLC7A11 mRNA and protein levels were then measured following combined SAS and ML385 treatment via qPCR and Western blot.Cell viability and ferroptosis-related indices were evaluated under the same treatment conditions.Furthermore,a shRNA vector targeting SLC7A11 was constructed to assess changes in cell viability and ferroptosis markers after SLC7A11 knockdown with SAS.GPX4 protein levels were examined following SLC7A11 knockdown.RESULTS:SAS significantly inhibited the proliferation of Kasumi-1 and THP-1 cells at 200 μmol/L and 300 μmol/L,respectively(P<0.05).Only ferroptosis inhibitors(Fer-1 and DFO)significantly reversed SAS-induced cy-totoxicity(P<0.01).SAS increased lipid ROS,Fe2+,and MDA levels(P<0.01),while reducing GSH and GPX4 activity(P<0.01).The mRNA and protein expressions of SLC7A11 increased during SAS-induced ferroptosis(P<0.01),where-as GPX4 protein decreased significantly(P<0.01).SAS significantly increased the nuclear-to-cytoplasmic NRF2 ratio(P<0.01),which decreased upon co-treatment with ML385(P<0.05).Following SAS and ML385 co-treatment,both SLC7A11 mRNA and protein levels were downregulated(P<0.01).This combination treatment further reduced AML cell viability(P<0.01),an effect reversed by Fer-1 and DFO(P<0.01).Compared with SAS alone,the combination of SAS and ML385 significantly increased lipid ROS,Fe2+,and MDA while reducing GSH levels and GPX4 activity(P<0.01).SLC7A11 knockdown was successfully achieved.Compared with the NC shRNA group,SLC7A11 knockdown cells showed significantly decreased viability after SAS treatment,which was reversed by Fer-1 and DFO(P<0.01).Lipid ROS,Fe2+,and MDA content were significantly increased(P<0.01),and GSH and GPX4 were substantially decreased(P<0.05).Moreover,GPX4 protein expression was considerably reduced after SLC7A11 knockdown(P<0.01).CONCLUSION:SAS induces ferroptosis in AML cells.It promotes the nuclear translocation of NRF2 protein,which activates SLC7A11 ex-pression.Inhibition of NRF2 or downregulation of SLC7A11 sensitizes AML cells to SAS-induced ferroptosis.

Objective To explore the value of artificial intelligence(AI)based multi-parameter coronary CT angiography(CCTA)features combined with clinical indicators for predicting coronary plaque progression.Methods Totally 143 coronary atherosclerosis(AS)patients were retrospectively enrolled and divided into progression group(arithmetic average annual growth rate of plaque load＞1％,n=73)and non-progression group(arithmetic average annual growth rate of plaque load＜1％,n=70).The baseline clinical data,CT-derived fractional flow reserve(CT-FFR),perivascular fat attenuation index(FAI),and quantitative plaque features were collected and compared between groups.For variables being statistically different between groups,those had collinearity with others were excluded,and then multivariable logistic regression was used to screen independent predictors of plaque progression from the retained variables,and a combined model was constructed.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model.Results Progression group had higher proportions of hypertension and diabetes,higher apolipoprotein A1(ApoA1)and high-sensitivity C-reactive protein(hs-CRP)levels but lower high-density lipoprotein cholesterol(HDL-C)levels than non-progression group(all P＜0.05).Progression group showed smaller minimum lumen area and lower CT-FFR,but greater degree of lumen stenosis,total plaque volume,plaque load,non-calcified plaque volume,lipid-rich plaque volume,fibrolipid plaque volume and FAI values than non-progression group(all P＜0.05).Plaque types were different between groups(P＜0.05).Diabetes,low HDL-C,small minimum lumen area and large lipid-rich plaque volume were all independent predictors of plaque progression in patients with coronary AS(all P＜0.05),and the AUC of the combined model for predicting plaque progression was 0.859.Conclusion Multi-parameter CCTA features based on AI combined with clinical indicators could be used to effectively predict progression of coronary AS plaque.

In order to effectively prevent and control the occurrence of catheter-associated urinary tract infection and ensure the safety of both patients and medical personnel,the National Health Commission of the People's Re-public of China officially released the recommended health industry standard"Standard for prevention and control of catheter-associated urinary tract infection"(WS/T862-2025)in Aug.2025.This paper provides an interpreta-tion of the standard,covering its drafting background,basis and content,to assist relevant medical personnel in healthcare institutions in enhancing their understanding and recognition of the standard,and to further promote its implementation and enforcement.

Amorphous calcium phosphate（ACP）is a component of urinary stones，primarily forming mixed stones with calcium oxalate，while pure ACP stones are relatively rare. This article reports a case of a patient with an ACP bladder stone who was admitted due to progressive dysuria over 5 years，which had worsened in the past months. Upon admission，tPSA was 29.63 ng/ml. CT and enhanced MRI revealed multiple bladder stones and prostatic hyperplasia. The patient underwent ultrasound-guided prostate biopsy and transurethral cystolithotripsy with pneumatic lithotripsy. Postoperative infrared spectroscopy confirmed the stone composition as ACP，and prostatic adenocarcinoma was diagnosed by prostate biopsy pathology. Endocrine therapy was administered postoperatively，and follow-up imaging at 3 months showed no stone. This article presents the first reported case of an ACP bladder stone coexisting with prostate cancer，providing important clinical insights into the etiology of such stones and the rare local manifestations of prostate cancer.

Objective:To investigate the effect of "four-staff co-management" follow-up mode on risk factor control and medium-term prognosis improvement in patients with coronary heart disease after percutaneous coronary intervention (PCI).Methods:This was a intervention study. Patients with coronary heart disease who were admitted to the Xiamen Cardiovascular Hospital of Xiamen University from June 2021 to January 2022 and successfully discharged after PCI were included. According to the different types of follow-up after discharge, patients were divided into the traditional follow-up group and the "four-staff co-management" follow-up group. The "four-staff co-management" follow-up mode means that specialists, specialist managers in third-level A hospitals and general practitioners and health managers in basic hospitals were jointly responsible for post-discharge follow-up of PCI patients. Baseline clinical data were collected. The primary endpoints were the rate of compliance of coronary heart disease risk factor control at 12 months after surgery, the rate of secondary surgery, and the incidence of mid-term major adverse cardiovascular and cerebrovascular events (MACCE). Unplanned secondary PCI included symptom-driven secondary PCI and asymptomatic secondary PCI. MACCE includes myocardial infarction, hospitalization for heart failure, stroke, major bleeding, all-cause death, and composite endpoints including these events.Results:A total of 2 181 patients were enrolled, including 1 097 patients in the traditional follow-up group and 1 084 patients in the "four-staff co-management" follow-up group. At baseline, there were no statistically significant differences in gender, age, discharge diagnosis, co-existing diseases, echocardiographic indexes, and coronary artery lesions between the two groups (all P>0.05). There were no significant differences between the two groups in total PCI stent length, maximum internal diameter of stent, proportion of patients using drug balloon, proportion of patients with a planned second surgery during hospitalization, and discharge with drugs (all P>0.05). Twelve months after PCI, the reduction in HbA1c and low-density lipoprotein cholesterol was greater in the "four-staff co-management " follow-up group than that in the traditional follow-up group (all P<0.05), and the rate of reaching the standard for low-density lipoprotein cholesterol was higher than that in the traditional follow-up group ( P=0.001), but there was no statistical significance between the two groups for blood pressure and blood glucose (all P>0.05). During the follow-up period, the proportion of symptom-driven second operation patients was lower in the "four-staff co-management" follow-up group than that in the traditional follow-up group ( P<0.001), and there was no significant difference in the proportion of asymptomatic second operation patients between the two groups ( P=0.191). The proportion of hospitalized patients with heart failure in the "four-staff co-management" follow-up group was lower than that in the traditional follow-up group ( P=0.029), and there was no significant difference in the proportion of myocardial infarction, cerebral infarction, cerebral hemorrhage, massive hemorrhage, death and complex endpoint events between the two groups (all P>0.05). Conclusion:The "four-staff co-management" follow-up mode can effectively improve the control of risk factors and medium-term prognosis in patients with coronary heart disease after PCI.

Objective:To establish the predictive model for major adverse cardiovascular events(MACE) following endovascular repair in elderly patients with abdominal aortic aneurysm(AAA).Methods:The clinical data and postoperative MACE were retrospectively collected from elderly patients with AAA who underwent their first endovascular aneurysm repair(EVAR)in Beijing Hospital and Tibet Autonomous Region People's Hospital between January 2016 and December 2023.Patients were randomly divided into training and validation cohorts at a ratio of 7∶3.Predictive models were using logistic regression, LASSO regression, random forest, linear discriminant analysis, na?ve Bayes, k-nearest neighbor algorithm, support vector machine, decision tree, and AdaBoost.Models were evaluated using receiver operating characteristic(ROC)curves.Results:A total of 171 elderly AAA patients were enrolled, aged 60 to 94 years(mean 73.0 ± 7.5 years), of whom 145 were male.MACE occurred after EVAR in 30 patients(17.5%). LASSO regression identified monocyte count, history of coronary artery disease, the ratio of maximum AAA diameter to body mass index(DBR), neutrophil-lymphocyte count ratio(NLR), and age as significant predictors, yielding an area under the ROC curve(AUC)of 0.816.Logistic regression achieved an AUC of 0.813 in the training cohort and 0.772 in the validation cohort.Among all models, AdaBoost demonstrated the best performance, with an AUC of 0.92 in the validation cohort.Conclusions:Age, monocyte count, DBR, NLR and creatinine could predict the occurrence of MACE after EVAR in AAA patients.The AdaBoost model provides the most accurate prediction of postoperative MACE.

Objective:To explore the influence of different scanning positions based on chest phantom of computed tomography(CT)scan on chest on image quality and radiation dose.Methods:A thermoluminescent dosimeter(TLD)was placed at the breast area of simulating anthropoid chest phantom.GE Revolution evo CT was used to conduct scan on the conventional supine position(supine group)and prone position(prone group)for chest phantom.Different noise indexes(NI=10-23)were adjusted to control ration doses,and other parameters were fixed,and each group collected 12 sequence images.The average value(AV),standard deviation(SD)of the CT scan at region of interest(ROI)under different scanning positions were recorded to calculate the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the image.The radiation dose at the breast area was measured by TLD,and the volume CT dose index(CTDIvol)and dose-length product(DLP)were recorded.Results:Under different scanning positions,the radiation dose of breast organs in the prone group was lower than that in the supine group,there was a statistically significant difference between the two groups(t=6.57,P<0.05),while there were not statistically significant differences in CTDIvol and DLP between the two groups(P>0.05).There were not statistically significant differences in the CT values,SD,SNR,CNR of lung tissue,and the CT values of breast tissue between the two groups of images(P>0.05).The SD,SNR and CNR of breast tissue in the prone group were lower than those in the supine group,and the differences were statistically significant(t=-13.33,-10.59,6.70,P<0.05).There were no statistically significant differences in the subjective scores of the clarity of the edge of the tissue within lung,the layers of soft tissue of the breast,noise,and artifacts in the bone tissue between the two groups of images(P>0.05).Conclusion:When low-dose CT physical examination on chest is conducted in clinical practice,the scanning of prone position during undergoing CT scan on chest can obtain image quality that can meet the requirements in diagnosing lung,and reduce the radiation dose on the breast,and conform to the technical principle of optimal radiation protection.