1.Effects of honey-processed Astragalus  on energy metabolism and polarization of RAW264.7 cells
		                			
		                			Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
		                        		
		                        			
		                        			 In this study, RAW264.7 cells were employed to investigate the effects of honey-processed 
		                        		
		                        	
2.Antimicrobial resistance and related risk factors of carbapenem-resistant Klebsiella pneumoniae isolated from blood
Pei-Juan TANG ; Peng-Wen OUYANG ; Sheng LONG ; Na PENG ; Zi-Han WANG ; Qiong LIU ; Wen XU ; Liang-Yi XIE
Chinese Journal of Infection Control 2024;23(1):49-57
		                        		
		                        			
		                        			Objective To explore the antimicrobial resistance of carbapenem-resistant Klebsiella pneumoniae(CRKP)isolated from blood and the related risk factors for infection in patients.Methods Clinical data of 383 KP-infected patients from whose blood Klebsiella pneumoniae(KP)were isolated during hospitalization period in a hos-pital from January 2018 to December 2021 were retrospectively analyzed.Patients were divided into CRKP group(n=114)and non-CRKP group(n=269)based on antimicrobial resistance.According to the prognosis,114 patients in the CRKP group were subdivided into the death group(n=30)and the survival group(n=84).General informa-tion,underlying diseases,antimicrobial use,and infection outcomes of two groups of patients were compared,and risk factors for infection and death after infection were analyzed.Results The resistance rates of KP to tigecycline and compound sulfamethoxazole showed upward trends,with statistically significant differences(both P=0.008).The CRKP group had higher resistance rates to amikacin,aztreonam,compound sulfamethoxazole,ciprofloxacin,cefepime,cefoperazone/sulbactam,piperacillin/tazobactam,tigecycline,ceftazidime,tobramycin,and levofloxacin,as well as higher in-hospital mortality than the non-CRKP group,with statistically significant differences(all P<0.05).Acute pancreatitis prior to infection(OR=16.564,P<0.001),hypoalbuminemia(OR=8.588,P<0.001),stay in in-tensive care unit prior to infection(OR=2.733,P=0.017),blood transfusion(OR=3.968,P=0.001),broncho-scopy(OR=5.194,P=0.014),surgery within 30 days prior to infection(OR=2.603,P=0.010),and treatment with carbapenems(OR=2.663,P=0.011)were independent risk factors for the development of CRKP blood-stream infection(BSI).Cardiac insufficiency before infection(OR=11.094,P=0.001),combined with pulmonary infection(OR=20.801,P=0.010),septic shock(OR=9.783,P=0.002),disturbance of consciousness(OR=11.648,P=0.001),and receiving glucocorticoid treatment(OR=5.333,P=0.018)were independent risk factors for mortality in patients with CRKP BSI.Conclusion The resistance rate of KP from BSI to tigecycline and com-pound sulfamethoxazole presents upward trend.Underlying diseases,invasive procedures,and carbapenem treat-ment are closely related to CRKP BSI.Cardiac insufficiency,pulmonary infection,septic shock,disturbance of con-sciousness,and glucocorticoid treatment can lead to death of patients with CRKP BSI.
		                        		
		                        		
		                        		
		                        	
3.Application of the OmniLogTM microbial identification system in the detection of the host spectrum for wild-type plague phage in Qinghai Plateau
Cun-Xiang LI ; Zhi-Zhen QI ; Qing-Wen ZHANG ; Hai-Hong ZHAO ; Long MA ; Pei-Song YOU ; Jian-Guo YANG ; Hai-Sheng WU ; Jian-Ping FENG
Chinese Journal of Zoonoses 2024;40(1):21-25
		                        		
		                        			
		                        			The growth of three plague phages from Qinghai Plateau in two Yersinia pestis strains(plague vaccine strains EV76 and 614F)and four non-Yersinia pestis strains(Yersinia pseudotuberculosis PTB3,PTB5,Escherichia coli V517,and Yersinia enterocolitica 52302-2)were detected through a micromethod based on the OmniLogTM microbial identification system and by the drop method,to provide a scientific basis for future ecological studies and classification based on the host range.For plague vaccine strains EV76 and 614F,successful phage infection and subsequent phage growth were observed in the host bacte-rium.Diminished bacterial growth and respiration and a concomitant decrease in color were observed with the OmniLogTM mi-crobial identification system at 33 ℃ for 48 h.Yersinia pseudotuberculosis PTB5 was sensitive to Yersinia pestis phage 476,but Yersinia pseudotuberculosis PST5 was insensitive to phage 087 and 072204.Three strains of non-Yersinia pestis(Yersinia pseudotuberculosis PTB3,Escherichia coli V517,and Yersinia enterocolitica 52302-2)were insensitive to Yersinia pestis pha-ges 087,072204,and 476 showed similar growth curves.The growth of phages 476 and 087,as determined with the drop method,in two Yersinia pestis strains(plague vaccine strains EV76 and 614F)and four non-Yersinia pestis strains(Yersinia pseudotuberculosis PTB3,Escherichia coli V517,and Yersin-ia enterocolitica 52302-2)showed the same results at 37 ℃,on the basis of comparisons with the OmniLogTM microbial i-dentification system;in contrast,phages 072204 did not show plaques on solid medium at 37 ℃ with plague vaccine strains EV76 and 614F.Determination based on the OmniLogTM detection system can be used as an alternative to the traditional determination of the host range,thus providing favorable application val-ue for determining the interaction between the phage and host bacteria.
		                        		
		                        		
		                        		
		                        	
4.Experts consensus on standard items of the cohort construction and quality control of temporomandibular joint diseases (2024)
Min HU ; Chi YANG ; Huawei LIU ; Haixia LU ; Chen YAO ; Qiufei XIE ; Yongjin CHEN ; Kaiyuan FU ; Bing FANG ; Songsong ZHU ; Qing ZHOU ; Zhiye CHEN ; Yaomin ZHU ; Qingbin ZHANG ; Ying YAN ; Xing LONG ; Zhiyong LI ; Yehua GAN ; Shibin YU ; Yuxing BAI ; Yi ZHANG ; Yanyi WANG ; Jie LEI ; Yong CHENG ; Changkui LIU ; Ye CAO ; Dongmei HE ; Ning WEN ; Shanyong ZHANG ; Minjie CHEN ; Guoliang JIAO ; Xinhua LIU ; Hua JIANG ; Yang HE ; Pei SHEN ; Haitao HUANG ; Yongfeng LI ; Jisi ZHENG ; Jing GUO ; Lisheng ZHAO ; Laiqing XU
Chinese Journal of Stomatology 2024;59(10):977-987
		                        		
		                        			
		                        			Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.
		                        		
		                        		
		                        		
		                        	
5.Morphological classification and molecular identification of Hyalomma asiaticum in parts of Xindi Township,Xinjiang
Xiao-Qing ZAN ; Qiao-Yun REN ; Jin LUO ; Yan-Long WANG ; Pei-Wen DIAO ; Li-Yan CHE ; Jian-Xun LUO ; Hong YIN ; Gui-Quan GUAN ; Guang-Yuan LIU ; Hong-Xi ZHAO
Chinese Journal of Zoonoses 2024;40(4):289-294
		                        		
		                        			
		                        			The purpose of this study was to identify the tick species native to Xindi Township,Yumin County,Xinjiang,China.Preliminary morphological identification of parasitic ticks collected from animals in the area was conducted with an ultra-depth of field three-dimensional VHX 600 digital stereo microscope.Total DNA of the ticks was extracted,amplified by PCR based on the COI and ITS2 gene loci,and the posi-tive PCR products were sequenced.The sequence were a-ligned with reference sequences from the NCBI database were aligned with the Basic Local Alignment Search Tool.A genet-ic phylogenetic tree was generated with the neighbor-joining method of MEGA 7.0 software to determine the evolutionary biological characteristics of ticks.Morphological identification showed that the ticks collected from Xindi Township of Yu-min County were consistent with the characteristics of Hya-lomma asiaticum.An evolutionary tree based on the COI and ITS2 gene sequences showed that the ticks collected in this study were clustered with known H.asiaticum sequences.The PCR products of COI and ITS2 were sequenced and compared,which confirmed that the collected tick species were H.asiaticum,in agreement with the morphological and molecular biological results.These findings help to clarify the distribution of ticks in Xindi Township of Xinjiang,and provide basic data for the analysis of tick genetic and evolutionary characteristics,as reference for surveillance and control of ticks in the Xinjiang Uygur Autonomous Region.
		                        		
		                        		
		                        		
		                        	
6.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
		                        		
		                        			 Background/Aims:
		                        			Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. 
		                        		
		                        			Methods:
		                        			We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.  
		                        		
		                        			Results:
		                        			The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. 
		                        		
		                        			Conclusions
		                        			Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure. 
		                        		
		                        		
		                        		
		                        	
7.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
		                        		
		                        			 Background/Aims:
		                        			Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. 
		                        		
		                        			Methods:
		                        			We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. 
		                        		
		                        			Results:
		                        			Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. 
		                        		
		                        			Conclusions
		                        			Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk. 
		                        		
		                        		
		                        		
		                        	
8.Dynamic change of metabolic dysfunction-associated steatotic liver disease in chronic hepatitis C patients after viral eradication: A nationwide registry study in Taiwan
Chung-Feng HUANG ; Chia-Yen DAI ; Yi-Hung LIN ; Chih-Wen WANG ; Tyng-Yuan JANG ; Po-Cheng LIANG ; Tzu-Chun LIN ; Pei-Chien TSAI ; Yu-Ju WEI ; Ming-Lun YEH ; Ming-Yen HSIEH ; Chao-Kuan HUANG ; Jee-Fu HUANG ; Wan-Long CHUANG ; Ming-Lung YU
Clinical and Molecular Hepatology 2024;30(4):883-894
		                        		
		                        			 Background/Aims:
		                        			Steatotic liver disease (SLD) is a common manifestation in chronic hepatitis C (CHC). Metabolic alterations in CHC are associated with metabolic dysfunction-associated steatotic liver disease (MASLD). We aimed to elucidate whether hepatitis C virus (HCV) eradication mitigates MASLD occurrence or resolution. 
		                        		
		                        			Methods:
		                        			We enrolled 5,840 CHC patients whose HCV was eradicated by direct-acting antivirals in a nationwide HCV registry. MASLD and the associated cardiometabolic risk factors (CMRFs) were evaluated at baseline and 6 months after HCV cure. 
		                        		
		                        			Results:
		                        			There were 2,147 (36.8%) patients with SLD, and 1,986 (34.0%) of them met the MASLD criteria before treatment. After treatment, HbA1c (6.0% vs. 5.9%, p<0.001) and BMI (24.8 kg/m2 vs. 24.7 kg/m2, p<0.001) decreased, whereas HDL-C (49.1 mg/dL vs. 51.9 mg/dL, p<0.001) and triglycerides (102.8 mg/dL vs. 111.9 mg/dL, p<0.001) increased significantly. The proportion of patients with SLD was 37.5% after HCV eradication, which did not change significantly compared with the pretreatment status. The percentage of the patients who had post-treatment MASLD was 34.8%, which did not differ significantly from the pretreatment status (p=0.17). Body mass index (BMI) (odds ratio [OR] 0.89; 95% confidence intervals [CI] 0.85–0.92; p<0.001) was the only factor associated with MASLD resolution. In contrast, unfavorable CMRFs, including BMI (OR 1.10; 95% CI 1.06–1.14; p<0.001) and HbA1c (OR 1.19; 95% CI 1.04–1.35; p=0.01), were independently associated with MASLD development after HCV cure. 
		                        		
		                        			Conclusions
		                        			HCV eradication mitigates MASLD in CHC patients. CMRF surveillance is mandatory for CHC patients with metabolic alterations, which are altered after HCV eradication and predict the evolution of MASLD. 
		                        		
		                        		
		                        		
		                        	
9.Treatment of rheumatoid arthritis by injection of sinomenine solid lipid nanoparticles under a fluorescence endoscopic laser confocal microscope.
Jun-Hao ZHANG ; Wu-Long WEN ; Wei-Ye ZHANG ; Xiao LIANG ; Xin SUN ; Zhan XIAO ; Yu-Qiang ZHAO ; An-Qi LI ; Pei-Ran ZHAO ; Hao-Tian BAI ; Jing YANG ; Rui WANG
China Journal of Chinese Materia Medica 2023;48(14):3786-3792
		                        		
		                        			
		                        			A fluorescence endoscopic laser confocal microscope(FELCM) was used to direct the injection of sinomenine solid lipid nanoparticles(Sin-SLN) into the joint, and the in vitro effectiveness of Sin-SLN in the treatment of rheumatoid arthritis(RA) was evaluated. Sin-SLN was prepared with the emulsion evaporation-low temperature curing method. The Sin-SLN prepared under the optimal conditions showed the encapsulation efficiency of 64.79%±3.12%, the drug loading of 3.84%±0.28%, the average particle size of(215.27±4.21) nm, and the Zeta potential of(-32.67±0.84) mV. Moreover, the Sin-SLN demonstrated good stability after sto-rage for 30 days. The rabbit model of RA was established by the subcutaneous injection of ovalbumin and complete Freund's adjuvant. Five groups were designed, including a control group, a model group, a Sin(1.5 mg·kg~(-1)) group, a Sin-SLN(1.5 mg·kg~(-1)) group, and a dexamethasone(positive drug, 1.0 mg·kg~(-1), ig) group. The control group and the model group only received puncture treatment without drug injection. After drug administration, the local skin temperature and knee joint diameter were monitored every day. The knee joint diameter and the local skin temperature were lower in the drug administration groups than in the model group(P<0.05, P<0.01). FELCM recorded the morphological alterations of the cartilage of knee joint. The Sin-SLN group showed compact tissue structure and smooth surface of the cartilage. Enzyme-linked immunosorbent assay(ELISA) was employed to determine the serum le-vels of interleukin-1(IL-1) and tumor necrosis factor-α(TNF-α). The findings revealed that the Sin-SLN group had lower IL-1 and TNF-α levels than the model group(P<0.05, P<0.01). Hematoxylin-eosin(HE) staining was employed to reveal the pathological changes of the synovial tissue, which were significantly mitigated in the Sin-SLN group. The prepared Sin-SLN had uniform particle size and high stability. Through joint injection administration, a drug reservoir was formed. Sin-SLN effectively alleviate joint swelling and cartilage damage of rabbit, down-regulated the expression of inflammatory cytokines, and inhibited the epithelial proliferation and inflammatory cell infiltration of the synovial tissue, demonstrating the efficacy in treating RA.
		                        		
		                        		
		                        		
		                        			Animals
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		                        			Rabbits
		                        			;
		                        		
		                        			Tumor Necrosis Factor-alpha
		                        			;
		                        		
		                        			Fluorescence
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		                        			Arthritis, Rheumatoid/drug therapy*
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		                        			Interleukin-1
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		                        			Arthritis, Experimental/drug therapy*
		                        			
		                        		
		                        	
10.Guanxin Danshen Dripping Pills Improve Quality of Life and Cardiovascular Prognoses of CHD Patients after PCI with Anxiety or Depression (GLAD Study): A Randomized Double-Blind Placebo-Controlled Study.
Cheng-Long WANG ; Na HUAN ; Pei-Li WANG ; Qing-Shan GENG ; Wen-Lin MA ; Li-Hong MA ; Hong-Yan JIANG ; Xiao-Ping MENG ; Da-Wu ZHANG ; Xiao-Jiang GOU ; Da-Yi HU ; Ke-Ji CHEN
Chinese journal of integrative medicine 2023;29(3):195-204
		                        		
		                        			OBJECTIVE:
		                        			To assess the efficacy and safety of Guanxin Danshen Dripping Pills (GXDS) in the treatment of depression or anxiety in patients with coronary heart disease (CHD) after percutaneous coronary intervention (PCI).
		                        		
		                        			METHODS:
		                        			From September 2017 to June 2019, 200 CHD patients after PCI with depression and anxiety were included and randomly divided into GXDS (100 cases) and placebo control groups (100 cases) by block randomization and a random number table. Patients in the GXDS and control groups were given GXDS and placebo, respectively, 0.4 g each time, 3 times daily for 12 weeks. The primary outcomes were scores of Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Scale (GAD-7) and the Seattle Angina Pectoris Scale (SAQ). The secondary outcomes included 12 Health Survey Summary Form (SF-12) scores and the first onset time and incidence of major adverse cardiovascular events (MACEs). Other indices including blood pressure, blood lipids, microcirculation and inflammatory-related indices, etc. were monitored at baseline, week 4, and week 12.
		                        		
		                        			RESULTS:
		                        			In the full analysis set (200 cases), after treatment, the PHQ-9 and GAD-7 scores in the GXDS group were considerably lower than those in the control group (P<0.05). Compared with the baseline, the total PHQ-9 scores of the experimental and control groups decreased by 3.97 and 1.18, respectively. The corrected mean difference between the two groups was -2.78 (95% CI: -3.47, -2.10; P<0.001). The total GAD-7 score in the GXDS group decreased by 3.48% compared with the baseline level, while that of the placebo group decreased by 1.13%. The corrected mean difference between the two groups was -2.35 (95% CI: -2.95, -1.76; P<0.001). The degree of improvement in SAQ score, SF-12 score, endothelin and high-sensitive C-reactive protein levels in the GXDS group were substantially superior than those in the placebo group, and the differences between the two groups were statistically significant (P<0.05). Similar results were obtained in the per protocol population analysis of 177 patients. Three cases of MACES were reported in this study (1 in the GXDS group and 2 in the placebo group), and no serious adverse events occurred.
		                        		
		                        			CONCLUSIONS
		                        			GXDS can significantly alleviate depression and anxiety, relieve symptoms of angina, and improve quality of life in patients with CHD after PCI. (Registration No. ChiCTR1800014291).
		                        		
		                        		
		                        		
		                        			Humans
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		                        			Percutaneous Coronary Intervention/adverse effects*
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		                        			Quality of Life
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		                        			Depression
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		                        			Coronary Disease/drug therapy*
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		                        			Drugs, Chinese Herbal/therapeutic use*
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		                        			Angina Pectoris/drug therapy*
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		                        			Prognosis
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		                        			Anxiety
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		                        			Treatment Outcome
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		                        			Double-Blind Method
		                        			
		                        		
		                        	
            
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