The compound (E)-1-(4-(3-(5-chloro-6-oxo-3,6-dihydropyridin-1(2H)-yl)-3-oxo-propyl-1-ene-1-yl) phenyl)-3-(4-fluorophenyl) urea (C12), a novel derivative of piperlongumine previously synthesized by our research group, was investigated in this study to examine its effects on human non-small cell lung cancer cell line H1299 in vitro and elucidate its potential mechanism of action. The impact of C12 on the proliferation, migration, and invasion abilities of H1299 cells were assessed using methyl thiazolyl tetrazolium (MTT) assay, wound healing assay, cloning formation assay, and Transwell assay. Flow cytometry was employed to evaluate the influence of C12 on cell cycle progression, reactive oxygen species (ROS) production, mitochondrial membrane potential (MMP), and apoptosis induction in H1299 cells. Western blot analysis was conducted to investigate the expression levels of p21, Cyclin B1, CDK1, Bax, Bcl-2, JNK, p-JNK, Erk1/2, p-Erk1/2, p38 and p-p38 proteins for exploring the anti-tumor mechanism underlying C12's actions. The results demonstrated that C12 exerted inhibitory effects on the proliferation, migration, and invasion capacities of H1299 cells in a time-dependent and concentration-dependent manner. Moreover, C12 induced G2/M phase arrest in the cell cycle, reduced MMP levels, elevated ROS production, and triggered apoptotic processes. Flow cytometry analysis revealed that C12 downregulated Cyclin B1 and CDK1 protein expressions, resulting in G2/M phase arrest. C12 also upregulated Bax/Bcl-2 ratio, promoting apoptosis. Furthermore, C12 activated MAPK signaling pathway by enhancing phosphorylation levels of JNK, Erk1/2, and p38 proteins. In conclusion, C12 significantly suppressed proliferation, migration, and invasion capabilities while inducing cell cycle arrest and apoptosis in H1299 cells. These effects may be attributed to activation of the MAPK signaling pathway.

As an important synthetic antibacterial drug, sulfonamides play an important role in the anti-infection field. Based on the research and development status of sulfonamides, this paper broke the classical structure of sulfanilamide, and designed and synthesized a series of acetyl-contained sulfanilamide tertiary amine thiol azole compounds and sulfanilamide tertiary amine amino azole compounds. The structures were confirmed by ¹H NMR, ¹³C NMR and HRMS. The antimicrobial activity of synthesized compounds in vitro was tested. The antimicrobial activity of amino triazole compound 7a gave stronger activity against Pseudomonas aeruginosa than that of positive control drug norfloxacin, and its inhibitory activity against Staphylococcus aureus was close to that of norfloxacin. The interaction between compound 7a and calf thymus DNA was studied, and the docking experiment between this compound and DNA was also researched.

Objective To explore the factors affecting the use of medical sutures in medical institutions based on the autore-gressive integrated moving average(ARIMA)model so as to provide basis and optimization strategy for the rational use of medical sutures in medical institutions.Methods The monthly usage amount of medical sutures in some hospital from January 2014 to November 2023 was used as the research subject.An ARIMA model was established by R language,with the data on medical suture usage amount from January 2014 to December 2018 used as the training set;the reliability of the ARIMA model was verified with the data on medical suture usage amount from January to December 2019 as the validation set.The monthly usage amount of medical sutures from January 2021 to November 2023 was predicted with the validated ARIMA model,then the predictive value was compared with the actual one to evaluate the benefits of implementing the medical suture optimization policy in January 2021.Results The established ARIMA model passed the white noise test(P＞0.05),and the difference between the predicted and actual values for the whole year of 2019 was not statistically significant(P＞0.05);after the implementation of the medical suture optimization policy,the actual usage amount of medical sutures in some hospital decreased.The actual value from January 2021 to November 2023 was much lower than the predicted value,and the difference was statistically significant(P＜0.05).Conclusion The ARIMA model-based medical suture usage data prediction and configuration optimization scheme contributes to clarifying the law of medical suture usage in some hospital,and provides references for optimization and precision managment of medical suture configuration.[Chinese Medical Equipment Journal,2024,45(8):73-77]

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of gallic acid,protocatechuic acid,neomangiferin,catechin,caffeic acid,mangiferin,isomangiferin,albiflorin,paeoniflorin,vitexin,liquiritin,scutellarin,baicalin,liquiritigenin,timosaponin BⅡ,quercetin,wogonoside,benzoylpaeoniflorin,isoliquiritigenin,honokiol,magnolol,norarecaidine,arecaidine,arecoline,epicatechin,baicalein,glycyrrhizinate and wogonin in Dayuan Drink.METHODS The analysis was performed on a 35℃thermostatic Syncronis C18 column(100 mm×2.1 mm,1.7 μm),with the mobile phase comprising of 0.1%formic acid-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray inoization source was adopted in positive and negative ion scanning with select reaction monitoring mode.RESULTS Twenty-eight constituents showed good linear relationships within their own ranges(R2≥0.991 0),whose average recoveries were 95.60%-103.53%with the RSDs of 0.60%-5.45%.CONCLUSION This rapid,simple,selective,accurate and reliable method can be used for the quality control of Dayuan Drink.

Objective To evaluate the efficacy and safety of intravascular lithotripsy(IVL)in the treatment of coronary artery calcification in patients with acute coronary syndrome(ACS)and chronic coronary syndrome(CCS).Methods In a retrospective study,patients with coronary artery calcified lesions who underwent IVL treatment at the Department of Cardiology,Second Affiliated Hospital of Xi'an Jiaotong University between February 2023 and June 2024 were enrolled.Among them,22 patients in ACS group and 25 patients in CCS group.The differences in baseline data,complication,clinical success rate and major cardiovascular adverse events(MACE)in patients followed one month after the procedure were compared between the two groups.Results In the ACS group,21 stent implantations were successful(95.5％success rate),while in the CCS group,25 cases were successful(100.0％success rate),showing no statistically significant difference between the two groups(P=0.468).There was one case of intraoperative IVL balloon rupture in the ACS group(1/22;4.5％),while in the CCS group,three cases were observed(3/25;12.0％).Additionally,one case in the ACS group(1/22;4.5％)with slow blood flow after IVL calcification modification.No instances of IVL-related vessel dissection or target vessel rupture occurred between the two groups,and there was no statistically significant difference in intraoperative complications(all P＞0.05).There was no significant difference in the MACE(9.1％vs.4.0％,P=0.593)between the two groups for follow up of one month.Conclusions The technique of IVL is a safe and effective treatment option for patients with ACS or CCS who have coronary artery calcification lesions.

Objective:To construct a frailty risk prediction model for elderly heart failure with preserved ejection fraction (HFpEF) patients, and to provide a new method for accurate prediction of the occurrence of frailty in clinical elderly HFpEF patients.Methods:A cross-sectional study method was used to collect clinical data related to HFpEF patients from the Department of Cardiovascular Medicine of the First Affiliated Hospital of Xinjiang Medical University from June to November 2023 using convenience sampling method, and were randomly divided into a training set and a test set in a ratio of 7∶3, based on Logistic regression, support vector machines (SVM) and random forests, respectively, to construct a frailty risk prediction model. The performance of the models was evaluated based on the area under curve (AUC), accuracy, precision, sensitivity, specificity, F1 value.Results:A total of 319 patients with HFpEF were included, 210 males and 109 females, aged 68(62,77) years, 133 of whom developed frailty (41.7%). The dataset was divided into a training set of 223 cases and a test set of 96 cases, and all three prediction models had high accuracy, and the AUC values of the Logistic regression, SVM, and random forests models were 0.874, 0.924 and 0.884, respectively, with the SVM model having the highest AUC value and the random forests model having the highest sensitivity (0.833), specificity (0.850), accuracy (0.844), and F1 value (0.872). The importance of the feature variables was further ranked based on the random forests model, and the top five feature variables were age, interleukin-6, albumin, malnutrition, hemoglobin.Conclusions:The random forests models have the best overall predictive efficacy, which is helpful for early clinical assessment and prevention of their frailty risk.

Objective To evaluate the efficacy and safety of intravascular lithotripsy(IVL)in the treatment of coronary artery calcification in patients with acute coronary syndrome(ACS)and chronic coronary syndrome(CCS).Methods In a retrospective study,patients with coronary artery calcified lesions who underwent IVL treatment at the Department of Cardiology,Second Affiliated Hospital of Xi'an Jiaotong University between February 2023 and June 2024 were enrolled.Among them,22 patients in ACS group and 25 patients in CCS group.The differences in baseline data,complication,clinical success rate and major cardiovascular adverse events(MACE)in patients followed one month after the procedure were compared between the two groups.Results In the ACS group,21 stent implantations were successful(95.5％success rate),while in the CCS group,25 cases were successful(100.0％success rate),showing no statistically significant difference between the two groups(P=0.468).There was one case of intraoperative IVL balloon rupture in the ACS group(1/22;4.5％),while in the CCS group,three cases were observed(3/25;12.0％).Additionally,one case in the ACS group(1/22;4.5％)with slow blood flow after IVL calcification modification.No instances of IVL-related vessel dissection or target vessel rupture occurred between the two groups,and there was no statistically significant difference in intraoperative complications(all P＞0.05).There was no significant difference in the MACE(9.1％vs.4.0％,P=0.593)between the two groups for follow up of one month.Conclusions The technique of IVL is a safe and effective treatment option for patients with ACS or CCS who have coronary artery calcification lesions.

Objective:To construct a frailty risk prediction model for elderly heart failure with preserved ejection fraction (HFpEF) patients, and to provide a new method for accurate prediction of the occurrence of frailty in clinical elderly HFpEF patients.Methods:A cross-sectional study method was used to collect clinical data related to HFpEF patients from the Department of Cardiovascular Medicine of the First Affiliated Hospital of Xinjiang Medical University from June to November 2023 using convenience sampling method, and were randomly divided into a training set and a test set in a ratio of 7∶3, based on Logistic regression, support vector machines (SVM) and random forests, respectively, to construct a frailty risk prediction model. The performance of the models was evaluated based on the area under curve (AUC), accuracy, precision, sensitivity, specificity, F1 value.Results:A total of 319 patients with HFpEF were included, 210 males and 109 females, aged 68(62,77) years, 133 of whom developed frailty (41.7%). The dataset was divided into a training set of 223 cases and a test set of 96 cases, and all three prediction models had high accuracy, and the AUC values of the Logistic regression, SVM, and random forests models were 0.874, 0.924 and 0.884, respectively, with the SVM model having the highest AUC value and the random forests model having the highest sensitivity (0.833), specificity (0.850), accuracy (0.844), and F1 value (0.872). The importance of the feature variables was further ranked based on the random forests model, and the top five feature variables were age, interleukin-6, albumin, malnutrition, hemoglobin.Conclusions:The random forests models have the best overall predictive efficacy, which is helpful for early clinical assessment and prevention of their frailty risk.

Background: and Purpose Orthostatic hypotension (OH) is common in patients with Parkinson’s disease (PD). Early recognition OH is required with sensitive assessments. The purpose of this study was to determine whether blood pressure (BP) changes during exercise can predict the occurrence of OH in PD. Methods: This prospective cohort study included 80 consecutive patients with PD. All patients agreed to participate in a baseline evaluation and cardiopulmonary exercise test (CPET).According to the initial active standing test (AST), those without OH (PD-nonOH) at baseline had their AST results followed up for 6 months. The main outcome was defined as whether patients without OH at baseline would develop OH after 6 months. Logistic regression analysis was applied to identify the relevant variables. A nomogram was constructed based on clinical features and identified variables. The concordance index (C-index) and area under the receiver operating characteristic curve (AUC) were used to evaluate the accuracy and predictive ability of the nomogram, respectively. Results: CPET results indicated that peak load, peak heart rate, heart rate recovery at 1 min, and systolic BP change (ΔSBP) were lower in those with OH than in the PD-nonOH group (p<0.05) at baseline. Logistic regression analysis indicated that peak load and ΔSBP during CPET had significant effects on OH (p<0.05). Age, sex, peak load, and ΔSBP were used to construct the nomogram model (C-index=0.761). The prediction model had an AUC of 0.782 (95% confidence interval=0.649–0.889) and a specificity and sensitivity of 70.0% and 81.8%, respectively. Conclusions This study has identified predictive factors for OH development in patients with PD. CPET could be used as a complementary examination to identify patients at a high risk of OH.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*