AIM:To investigate the characteristics of corneal endothelial cells(CEC)and nuclear density(ND)in cataract patients with type 2 diabetes and to assess the impact of blood glucose related indicators.METHODS: A total of 187 cases(187 eyes)that underwent cataract surgery at our hospital from July 2023 to July 2024 were enrolled. CEC were measured using a non-contact specular microscope. ND was measured through IOLMaster 700. A total of 187 participants were further stratified based on glycosylated hemoglobin(HbA1c)and fasting blood glucose(FBG)levels. Correlation analyses and multiple linear regression analyses were used to elucidate the association between diabetic status and ocular parameters. We measured the concentrations of ascorbic acid(AA)in the aqueous humor of 52 participants.RESULTS: Compared to the control group, the diabetic group exhibited larger maximum endothelial cell size, lower endothelial cell density(ECD), a reduced proportion of hexagonal cells, higher ND, and lower corneal vertex equivalent spherical power(Scv; P<0.05). Correlation analysis revealed those changes of CEC and ND were significantly associated with the level of FBG, HbA1c, and the duration of diabetes(P<0.05). Among 52 participants, diabetic patients had lower levels of AA in their aqueous humor, indicating a diminished antioxidant ability.CONCLUSION:Diabetic state can significantly influence corneal maximum cell size, hexagonal cell ratio and ND in cataract patients, potentially linked to a decrease in total antioxidant capacity of the aqueous humor.

OBJECTIVE To resolve account discrepancies caused by drug price adjustment in medical institution pharmacy management and reduce the time required for price adjustment. METHODS The problems existing in the drug price adjustment models of domestic medical institutions were investigated， and a drug price adjustment system was developed based on price- invoice synchronization mechanism. The system optimized the drug price adjustment process through batch number matching and real-time monitoring functionalities. The account consistency rate and price adjustment time were evaluated before and after system implementation. RESULTS A drug price adjustment system was successfully developed， featuring an innovative “synchronized entry and exit” mode， batch number matching， real-time monitoring， intelligent automation， and electronic traceability. After implementation， the account consistency rate for Western medicines increased from 86.89% （86.66%， 89.63%） to 100% （100%， 100%） （P＝0.005）， while Chinese patent medicines and herbal medicines maintained a 100% （100%， 100%） account consistency rate. Concurrently， the drug price adjustment time significantly decreased from 6.00 （5.00， 7.00）d to 2.50 （1.50， 3.00） d （P＜ 0.001）. CONCLUSIONS The developed system significantly improves account consistency， shortens price adjustment time， and demonstrates notable innovation and practical utility.

Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.

Objective:To analyze the drug resistance characteristics of Klebsiella pneumoniae in the nasopharynx of hospitalized patients in North China from 2022 to 2023. Methods:From November 2022 to July 2023, nasopharyngeal swabs were collected from 100 inpatients in Affiliated Hospital of North China University of Science and Technology, and Klebsiella pneumoniae was isolated and cultured. At the same time, the clinical data of the patients were collected, including gender, age, department, clinical diagnosis of disease type, etc. The minimum inhibitory concentration of strains was detected by an automatic bacterial drug sensitivity system. The drug resistance genes, ST types, capsule serotypes and population structure of the strains were analyzed by whole genome sequencing and data analysis. Results:Klebsiella pneumoniae was isolated from 55 nasopharyngeal swabs of 100 inpatients(55.00%). Among the 55 inpatients with Klebsiella pneumoniae in the nasopharynx, 70.91% (39/55) were male, with an age distribution concentrated between 61 and 80 years old (58.18%, 32/55), and 50.91% (28/55) were in intensive care units (ICU). The main underlying disease type was nervous system disease (49.09%, 27/55). The results of drug sensitivity showed that the non-susceptibility rates of 55 strains of Klebsiella pneumoniae to cephalosporins, quinolones, aztreonam and nitrofurantoin were all more than 80.00%. Twenty-eight carbapenem-resistant Klebsiella pneumoniae strains (50.91%), 47 extended-spectrum β-lactamase producing strains (85.45%), and 48 multi-drug-resistant strains (87.27%) were detected. A total of 11 antibiotic resistance genes were detected, including carbapenems (carrying rate 76.36%) and extended-spectrum β-lactamase (carrying rate 96.36%). The 55 strains could be divided into 17 ST types, and the most common type was ST11 (25.45%). The 55 strains were divided into 18 capsular serotypes, among which K102 was the most prevalent (23.64%). OXA-1_ST307_K102 (21.82%) and KPC-2_ST5492_K125 (18.18%) were the dominant clones, distributed in the Department of Neurosurgery and ICU. The result of whole genome sequence analysis showed that there were four clusters with high homology among the 55 strains. The strains from the ICU formed two independent clusters, and strains from the Neurology ICU and Neurosurgery department formed one cluster respectively. Conclusion:The carrying rate of Klebsiella pneumoniae in the nasopharynx of inpatients is high, and the drug resistance of the strains is serious. There are many types of drug-resistant genes.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

Objective To explore the characteristics and correlation of the chin and airway in females with skeletal Class Ⅱ mandibular retraction for reference for clinical diagnosis and therapy.Methods This study was approved by the hospital Medical Ethics Committee.Forty cases of skeletal Class Ⅱ mandibular retraction adult females with aver-age angle were selected as the research group,and sixty cases of skeletal Class Ⅰ patients with average angle were se-lected as the control group.Cone-beam computed tomography(CBCT)images for all subjects were analyzed using three-dimensional modeling software.Measurements included the chin morphology,position,and upper airway morphology.Results Compared with skeletal Class Ⅰ patients,patients with skeletal Class Ⅱ mandibular retraction had smaller an-terior chin thickness,base bone volume,chin total volume,and larger chin angle,chin depression,chin curvature,and alveolar area with statistically significant differences(P＜0.05).Gn-V,Gn-H,Po-NB distance,and facial angle were smaller,and the Y-axis angle was larger in patients with skeletal Class Ⅱ mandibular retraction with statistically signifi-cant differences(P＜0.05).Upper airway total volume,transverse and sagittal diameter of the glossopharynx upper boundary were smaller in patients with skeletal Class Ⅱ mandibular retraction with statistically significant differences(P＜0.05).The correlation analysis between the morphology and position of the chin and the morphology of the upper airway in patients with Class Ⅱ mandibular retraction showed that there was a negative correlation between chin angle and laryngopharynx length in patients with Class Ⅱ mandibular retraction(r=-0.277,P＜0.01).There was a negative correlation between Po-NB distance and palatopharyngeal length(r=-0.222,P＜0.05).Chin height(r=-0.261,P＜0.01)and basal bone area(r=-0.225,P＜0.05)were negatively correlated with the transverse diameter of the palato-pharyngeal upper boundary.The minimum chin thickness(r=0.245,P＜0.05),chin angle(r=0.249,P＜0.05),and al-veolar area(r=0.213,P＜0.05)were positively correlated with the sagittal diameter of the palatopharyngeal upper boundary.Gn-V(r=0.217,P＜0.05)and Po-NB distance(r=0.208,P＜0.05)were positively correlated with the trans-verse diameter of the glossopharynx upper boundary.Anterior chin thickness was negatively correlated with the sagittal diameter of the laryngopharynx upper boundary(r=-0.211,P＜0.05).Chin depression was negatively correlated with the sagittal diameter of the laryngopharynx lower boundary(r=-0.237,P＜0.05).Chin curvature was positively corre-lated with the transverse diameter of the laryngopharynx lower boundary(r=0.231,P＜0.05).Conclusion Patients with skeletal Class Ⅱ mandibular retraction exhibit thinner chins.The sagittal position of the chin is backward,and the vertical position is upward.Patients with skeletal Class Ⅱ mandibular retraction have a narrow glossopharyngeal airway.There is a correlation between the morphology and position of the chin and the morphology of the upper airway in pa-tients with Class Ⅱ mandibular retraction.

Objective To construct and validate of a nomogram predictive model for high-volume lymph node metastasis(HVM)in multifocal papillary thyroid carcinoma(MPTC).Methods Between January 2010 to January 2024,a total of 1146 and 234 patients with multifocal papillary thyroid carcinoma(MPTC)were diagnosed at Hangzhou First People's Hospital(Center A)and Hangzhou Cancer Hospital(Center B),respectively.Patients from Center A were randomly allocated to training set(n=803)and testing set(n=343)in a 7:3 ratio,while those from Center B(n=234)comprised an external validation set.Independent risk factors for HVM in MPTC patients were identified through univariate and multivariate Logistic regression analysis in training set,leading to the development of a nomogram predictive model.The generalizability of this model was subsequently assessed using both testing set and external validation set.The area under the curve(AUC)of receiver operating characteristic curve,sensitivity,and specificity evaluate the discriminative ability of the model.Results The incidence of HVM was 13.3％at center A and 12.8％at center B.Logistic regression identified male gender(OR=2.91,95％CI:1.835-4.599),maximum lesion diameter(OR=1.05,95％CI:1.021-1.070),and age(OR=0.95,95％CI:0.936-0.972)as independent risk factors for HVM.Anomogram based on these factors showed an AUC of 0.767 with 72.6％sensitivity and 70.2％specificity in training set,and 0.838 with 94.9％sensitivity and 68.4％specificity in testing set,and 0.769 with 63.3％sensitivity and 84.3％specificity in external validation set.The calibration curve demonstrated good agreement with the ideal curve.Conclusion The prediction model constructed based on clinical risk factors can effectively predict the probability of HVM in MPTC patients.

Objective To observe the value of three-dimensional(3D)ultrasound volumetric parameters of carotid atherosclerotic plaque for evaluating the risk of coronary heart disease(CHD)in patients with type 2 diabetes mellitus(T2DM).Methods Totally 88 T2DM patients with carotid atherosclerotic plaque were prospectively enrolled and divided into CHD group(n=56)and non-CHD group(n=32)according to results of coronary artery angiography.Clinical data,two-dimensional(2D)and 3D ultrasonic findings of carotid atherosclerotic plaques were collected and compared between groups.The independent predictors of CHD in T2DM patients were screened with multivariate logistic regression.Then the receiver operating characteristic curves of 3D volumetric parameters of carotid atherosclerotic plaque were drawn,the areas under the curve(AUC)were calculated,and efficacy for predicting the risk of CHD in T2DM patients were evaluated and compared.Results Compared with patients in non-CHD group,T2DM patients in CHD group had longer diabetes duration,higher glycosylated hemoglobin and low density lipoprotein(LDL),as well as bigger carotid atherosclerotic plaque volume and lower grayscale median(GSM)(all P＜0.05).Along with diabetes duration and LDL,the volume and GSM of carotid atherosclerotic plaque were also the predictive factors for CHD in T2DM patients(all P＜0.05).AUC of volume and GSM of carotid atherosclerotic plaque and the combination of them was 0.864,0.828 and 0.927,respectively,and of the combination was higher than each alone(all P＜0.05).Conclusion The volume and GSM of carotid atherosclerotic plaque obtained with 3D ultrasound could indirectly reflect the risk of CHD in T2DM patients.Combination of these two parameters was more effective for predicting the risk of CHD.

Objective:To identify the risk factors for intraoperative hemorrhage and transfusion in patients undergoing off-pump coronary artery bypass grafting (OPCABG).Methods:A total of 1, 442 patients, regardless of gender, of American Society of Anesthesiologists Physical Status classification≥Ⅱ, scheduled for elective OPCABG from June 7, 2021 to March 8, 2023, were enrolled in a prospective, observational study. Patients′ general characteristics, preoperative hemodynamics, preoperative blood routine, duration of operation, the number of transplanted vessels, intraoperative application of vasoactive agents, intraoperative consumption of crystalloid and colloid, urine volume, blood products, use of tranatemic acid and ulinastatin were collected. Univariable and multiple linear regression models were used to screen the risk factors for intraoperative blood loss and infusion volume of concentrated red blood cell (CRBC), and univariable and multivariable logistic regression models were used to screen the risk factors for intraoperative CRBC infusion requirement.Results:One thousand four hundred and twenty patients were finally included. Prolonged operation duration, increased number of transplanted vessels and older age were risk factors for intraoperative blood loss, while male, increased intraoperative usage of fresh frozen plasma (FFP), increased urine volume, and application of ulinastatin and tranexamic acid were protective factors for intraoperative blood loss in OPCABG patients ( P<0.05). Prolonged operation duration and increased intraoperative usage of FFP were risk factors for intraoperative CRBC transfusion volume, while elevation of preoperative hemoglobin levels was a protective factor for intraoperative CRBC transfusion volume in OPCABG patients ( P<0.05). Prolonged operation duration and increased intraoperative usage of FFP were risk factors for intraoperative CRBC infusion requirement, while increased body mass index, elevation of preoperative hemoglobin levels and application of ulinastatin were protective factors for CRBC infusion requirement ( P<0.05). Conclusions:Prolonged operation duration, increased number of transplanted vessels and older age are risk factors for intraoperative blood loss, and increased intraoperative usage of FFP, increased urine volume, and application of ulinastatin and tranexamic acid are protective factors for intraoperative blood loss in OPCABG patients. Prolonged operation duration and increased intraoperative usage of FFP are risk factors for intraoperative CRBC infusion requirement and transfusion volume, elevation of preoperative hemoglobin levels is a protective factor for intraoperative CRBC infusion volume, and increased body mass index, elevation of preoperative hemoglobin levels and intraoperative application of ulinastatin are protective factors for intraoperative CRBC infusion requirement in patients undergoing OPCABG.

Objective:To investigate the spatial distribution pattern of local tumor progression (LTP) for hepatocellular carcinoma (HCC) ≤5 cm after microwave ablation.Methods:A retrospective analysis was performed on 169 HCCs with matched MRI before and after ablation from December 2009 to December 2019. A tumor MRI was reconstructed using three-dimensional visualization technology. LTP was classified as contact or non-contact, early or late stage, according to whether LTP was in contact with the edge of the ablation zone and the occurrence time (24 months). The tumor-surrounded area was divided into eight quadrants by using the eight-quadrant map method. An analysis was conducted on the spatial correlation between the quadrant where the ablative margin (AM) safety boundary was located and the quadrant where different types of LTP occurred. The t-test, or rank-sum test, was used for the measurement data. 2-test for count data was used to compare the difference between the two groups.Results:The AM quadrant had a distribution of 54.4% LTP, 64.2% early LTP stage, and 69.1% contact LTP, suggesting this quadrant was much more concentrated than the other quadrants ( P ?