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.

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 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 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 investigate the diagnostic efficiency of artificial intelligence(AI)in rib frac-ture under the computed tomography(CT)images with different reconstruction slice thickness.Methods The first CT images of 100 patients with rib fractures were selected,and the interval-free recon-struction was carried out with the thickness of 0.625 mm,1.250 mm,2.500 mm and 5.000 mm,respectively.The rib fracture screening function of AI was used to automatically detect the CT images of four groups,and the diagnostic efficiency of AI for rib fracture under different reconstruction thickness conditions was com-pared.Results The sensitivity of AI in the diagnosis of rib fracture at 0.625 mm,1.250 mm,2.500 mm and 5.000 mm thickness was 99.32%(436/439),98.41%(432/439),89.52%(393/439)and 83.60%(367/439),respectively.The false positive rate was 4.80%(22/458),0.92%(4/436),0.76%(3/396)and 0.27%(1/368).The diagnostic sensitivity of AI in 0.625 mm and 1.250 mm thickness was higher than that in 2.500 mm and 5.000 mm,and the difference was statistically significant(P<0.05),while there was no significant difference in the thickness of 0.625 mm and 1.250 mm.The false positive rate of AI in the diagnosis of 0.625 mm slice thickness was higher than that of 1.250 mm,2.500 mm and 5.000 mm,and the difference was sta-tistically significant(P<0.05),while there was no significant difference in the thickness of 1.250 mm,2.500 mm and 5.000 mm(P>0.05).Conclusion The diagnostic efficiency of AI in 1.250 mm CT images is better than that in 0.625 mm,2.500 mm and 5.000 mm CT images.

Objective:To evaluate the effect of ulinastatin on the postoperative pulmonary complications (PPCs) in the patients undergoing off-pump coronary artery bypass grafting (OPCABG).Methods:Medical records from patients scheduled for elective OPCABG from September 2021 to August 2023 were retrospectively collected. The patients were divided into ulinastatin and control groups based on the intraoperative use of ulinastatin. Confounding factors were adjusted using propensity score matching and an extended Cox proportional hazards model. The primary outcome was the development of PPCs within 30 days after surgery, and secondary outcomes included length of stay in intensive care unit, length of hospital stay and occurrence of other adverse events.Results:A total of 1 532 patients were included in this cohort study, and 585 cases (38.2%) experienced PPCs. Compared with control group, the incidence of PPCs was significantly decreased (before matching: 42.7% vs. 35.2%, P=0.004; after matching: 42.2% vs. 35.6%, P=0.033), the incidence of acute kidney injury was decreased and no significant differences were found in the length of stay in intensive care unit, length of hospital stay and incidence of other adverse events in ulinastatin group ( P>0.05). In the extended Cox proportional hazard model before and after adjustment for confounding factors, the risk of PPCs was significantly reduced after the use of ulinastatin ( HR value before adjustment was 0.81, 95% confidence interval [ CI] 0.67-0.99, P=0.004; the HR value after adjustment was 0.79, 95% CI 0.65-0.96, P=0.022). The risk of PPCs was significantly decreased in patients aged >65 yr and at high risk of PPCs after using ulinastatin ( HR=0.667, 95% CI 0.542-0.821, P<0.001; hR value was 0.641, 95% CI 0.516-0.812, P<0.001). Conclusions:The intraoperative use of ulinastatin is helpful in decreasing the risk of PPCs in patients undergoing OPCABG.

Objective:To evaluate the effect of sevoflurane on Ca 2+ transporter expression in cardiomyocytes during right ventricular remodeling in rats with pulmonary arterial hypertension. Methods:Twenty-four clean-grade healthy male Sprague-Dawley rats, aged 8-10 weeks, weighing 200-250 g, were divided into 4 groups ( n=6 each) by the random number table method: control group (CM group), sevoflurane group (CS group), monocrotaline group (M group) and sevoflurane + monocrotaline group (S group). Monocrotaline 60 mg/kg was intraperitoneally injected in group M and group S, and monocrotaline lysate was intraperitoneally injected in group CM. The rats in S and CS groups inhaled 2.5% sevoflurane for 1 h, twice a week, at an interval of 3 days starting from the first day after injection of monocrotaline. Pulmonary artery acceleration time and pulmonary artery ejection time were measured by transthoracic echocardiography at 6 weeks after monocrotaline injection. The chest was exposed under 3% sevoflurane anesthesia, the heart was perfused, and the pulmonary artery branch and right ventricular myocardial tissues were retained. The wall thickness of pulmonary arterioles and cross-section area of right ventricular cardiomyocytes were observed by HE staining. The expression of Ca 2+ transporter in right ventricular cardiomyocytes was detected by Western blot. Results:Compared with CM group, the ratio of pulmonary artery acceleration time to pulmonary artery ejection time was significantly decreased, the cross-section area of right ventricular cardiomyocytes was increased, the wall thickness of pulmonary arteriole was increased, the expression of type 1 sodium-calcium exchange and inositol triphosphate receptor was up-regulated, and the expression of voltage-dependent L-type calcium channel α1C subunit, type 2 ryanodine receptor, sarcoplasmic reticulum calcium pump 2α and proteinphilin-2 was down-regulated in M group ( P<0.01). Compared with group M, the ratio of pulmonary artery acceleration time to pulmonary artery ejection time was significantly increased, the cross-section area of right ventricular cardiomyocytes was decreased, the wall thickness of pulmonary arteriole was decreased, the expression of type 1 sodium-calcium exchange and inositol triphosphate receptor was down-regulated, and the expression of voltage-dependent L-type calcium channel α1C subunit, type 2 ryanodine receptor, sarcoplasmic reticulum calcium pump 2α and proteinphilin-2 was up-regulated in group S ( P<0.01). Conclusions:The mechanism by which sevoflurane improves right ventricular remodeling is related to regulating the expression of Ca 2+ transporter in cardiomyocytes of rats with pulmonary arterial hypertension.

Objective To comparatively explore the prognosis of hepatocellular carcinoma(HCC)patients with hepatitis B(HB)and hepatitis C(HC)after microwave ablation(MWA).Methods Data of 159 HCC patients with HB(HB-HCC)and 159 HCC patients with HC(HC-HCC)who received MWA treatment were retrospectively collected.The oncologic outcomes were compared between groups,the causes of death were analyzed,and the risk factors of overall survival(OS)in HCC patients after MWA were observed.Results The OS rate in HC-HCC group was lower than that in HB-HCC group(P=0.045),while no significant difference of disease free survival rate(P=0.095)nor cancer specific survival rate(P=0.180)was found between groups.Compared with HB-HCC group,HC-HCC group had higher risk of death due to complications related to liver cirrhosis(HR=2.339,P=0.043).Child-Pugh class B(HR=3.082,P＜0.001),hepatitis viral load＞500 IU/ml(HR=1.654,P=0.006)and the maximum diameter of lesion≥3.0 cm(HR=1.541,P=0.017)were all independent risk factors of OS in HCC patients after MWA.Conclusion Compared with HB-HCC patients,HC-HCC patients had shorter OS after MWA.

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.