1.Simultaneou determination of twenty-eight constituents in Dayuan Drink by UPLC-MS/MS
Yu-Jie HOU ; Xin-Jun ZHANG ; Ming SU ; Xin-Rui LI ; Yue-Cheng LIU ; Yu-Qing WANG ; Dan-Dan SUN ; Hui ZHANG ; Kang-Ning XIAO ; Long-Yun DUAN ; Lei CAO ; Zhen-Yu XUAN ; Shan-Xin LIU
Chinese Traditional Patent Medicine 2024;46(11):3545-3552
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.
2.Design, synthesis and relational biological researches of novel acetyl-contained sulfanilamide tertiary amine thiol azole compounds and sulfanilamide tertiary amine amino azole compounds
Dan-yang FENG ; Liu-xue ZHU ; Shi-ju YANG ; Rui YAN ; Hui-zhen ZHANG ; Ying WANG
Acta Pharmaceutica Sinica 2024;59(12):3315-3324
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
3.The antitumor activity and mechanisms of piperlongumine derivative C12 on human non-small cell lung cancer H1299 cells
Hai-tao LONG ; Xue LEI ; Jia-yi CHEN ; Jiao MENG ; Li-hui SHAO ; Zhu-rui LI ; Dan-ping CHEN ; Zhen-chao WANG ; Yue ZHOU ; Cheng-peng LI
Acta Pharmaceutica Sinica 2024;59(10):2773-2781
The compound (
4.ARIMA model-based usage data prediction and configuration optimization scheme for medical sutures
Hong-Dan WANG ; Ning-Rui ZHANG ; Zhen-Wei DU ; Li YANG ; He-Hua ZHANG
Chinese Medical Equipment Journal 2024;45(8):73-77
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]
5.Prediction model for risk of frailty in elderly patients with heart failure with preserved ejection fraction based on machine learning
Zhen ZHANG ; Rui HAI ; Rong ZHANG ; Hui WANG ; Yaping XU ; Dan JIANG
Chinese Journal of Practical Nursing 2024;40(36):2849-2855
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.
6.Efficacy and safety of intravascular lithotripsy in interventional treatment of calcified lesions in patients with acute and chronic coronary syndromes
Hai-quan LI ; Gai-gai MA ; Xiao-jun LIU ; Dan SU ; Ya-rui LÜ ; Xin-hong WANG ; Zhen-hua HAN ; Jie DENG
Chinese Journal of Interventional Cardiology 2024;32(12):676-682
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.
7.Efficacy and safety of intravascular lithotripsy in interventional treatment of calcified lesions in patients with acute and chronic coronary syndromes
Hai-quan LI ; Gai-gai MA ; Xiao-jun LIU ; Dan SU ; Ya-rui LÜ ; Xin-hong WANG ; Zhen-hua HAN ; Jie DENG
Chinese Journal of Interventional Cardiology 2024;32(12):676-682
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.
8.Prediction model for risk of frailty in elderly patients with heart failure with preserved ejection fraction based on machine learning
Zhen ZHANG ; Rui HAI ; Rong ZHANG ; Hui WANG ; Yaping XU ; Dan JIANG
Chinese Journal of Practical Nursing 2024;40(36):2849-2855
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.
9.Predictive Value of Exercise Blood Pressure Changes for Orthostatic Hypotension in Patients With Parkinson’s Disease
Yi QIN ; Zhao-hui JIN ; Zhen-ying ZHANG ; Ke-ke CHEN ; Xin YU ; Hong-jiao YAN ; Rui-dan WANG ; Yuan SU ; Ai-xian LIU ; Jia-ning XI ; Bo-yan FANG
Journal of Clinical Neurology 2023;19(1):67-75
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.

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